{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "K2s1A9eLRPEj"
},
"source": [
"##### Copyright 2018 The TensorFlow Authors.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"cellView": "form",
"execution": {
"iopub.execute_input": "2024-01-11T19:13:56.046459Z",
"iopub.status.busy": "2024-01-11T19:13:56.046233Z",
"iopub.status.idle": "2024-01-11T19:13:56.049861Z",
"shell.execute_reply": "2024-01-11T19:13:56.049285Z"
},
"id": "VRLVEKiTEn04"
},
"outputs": [],
"source": [
"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# https://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EFwSaNB8jF7s"
},
"source": [
"<style> td { text-align: center; } th { text-align: center; } </style>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Cffg2i257iMS"
},
"source": [
"# ビジュアルアテンションを用いた画像キャプショニング\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QASbY_HGo4Lq"
},
"source": [
"以下の例のような画像が与えられた場合、目標は「波に乗っているサーファー」などのキャプションを生成することです。\n",
"\n",
"\n",
"\n",
" \n",
"\n",
" サーフィンしている男性（出典: wikimedia ） \n",
" \n",
"
\n",
"\n",
"ここで使用されているモデルアーキテクチャは、「[Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://arxiv.org/abs/1502.03044)」からアイデアを得たものですが、2 レイヤー Transformer デコーダを使用するように更新されています。このチュートリアルを最大限に活用するには、[テキスト生成](https://www.tensorflow.org/text/tutorials/text_generation)、[seq2seq モデルとアテンション](https://www.tensorflow.org/text/tutorials/nmt_with_attention)、または [transformer](https://www.tensorflow.org/text/tutorials/transformer) の使用経験があるとよいでしょう。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6HbD8n0w7d3F"
},
"source": [
"以下は、このチュートリアルに組み込まれるモデルアーキテクチャです。特徴量は画像から抽出され、Transformer デコーダのクロスアテンションレイヤーに渡されています。\n",
"\n",
"\n",
"\n",
" モデルアーキテクチャ \n",
" \n",
"\n",
" \n",
" \n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1IxifZKT6vXQ"
},
"source": [
"Transformer デコーダは主に、アテンションレイヤーから構築されます。セルフアテンションを使用して、生成されるシーケンスを処理し、クロスアテンションを使用して、画像に注意を向けます。\n",
"\n",
"クロスアテンションレイヤーのアテンションの重みを検査することで、モデルが単語を生成する過程で、モデルが画像のどの部分を見ているかを知ることができます。\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "87us2sLVdwME"
},
"source": [
"このノートブックは、エンドツーエンドの例を示します。このノートブックを実行すると、データセットのダウンロード、画像特徴量の抽出とキャッシュ処理、そしてデコーダモデルのトレーニングが行われます。その後で、モデルを使用して、新しい画像のキャプションが生成されるようになります。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5bwwk4uxRz6A"
},
"source": [
"## セットアップ"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:13:56.053570Z",
"iopub.status.busy": "2024-01-11T19:13:56.053331Z",
"iopub.status.idle": "2024-01-11T19:13:56.214139Z",
"shell.execute_reply": "2024-01-11T19:13:56.213250Z"
},
"id": "gc06pTaBbl72"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1;31mE: \u001b[0mCould not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\u001b[0m\r\n",
"\u001b[1;31mE: \u001b[0mUnable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\u001b[0m\r\n"
]
}
],
"source": [
"!apt install --allow-change-held-packages libcudnn8=8.1.0.77-1+cuda11.2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:13:56.217826Z",
"iopub.status.busy": "2024-01-11T19:13:56.217572Z",
"iopub.status.idle": "2024-01-11T19:13:58.204708Z",
"shell.execute_reply": "2024-01-11T19:13:58.203770Z"
},
"id": "2R1hQGtZEi8Y"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found existing installation: tensorflow 2.15.0.post1\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uninstalling tensorflow-2.15.0.post1:\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Successfully uninstalled tensorflow-2.15.0.post1\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[33mWARNING: Skipping estimator as it is not installed.\u001b[0m\u001b[33m\r\n",
"\u001b[0mFound existing installation: keras 2.15.0\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Uninstalling keras-2.15.0:\r\n",
" Successfully uninstalled keras-2.15.0\r\n"
]
}
],
"source": [
"!pip uninstall -y tensorflow estimator keras"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:13:58.209027Z",
"iopub.status.busy": "2024-01-11T19:13:58.208728Z",
"iopub.status.idle": "2024-01-11T19:14:18.246721Z",
"shell.execute_reply": "2024-01-11T19:14:18.245618Z"
},
"id": "5Xbt8BkPv8Ou"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow_text\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Downloading tensorflow_text-2.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.9 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow\r\n",
" Using cached tensorflow-2.15.0.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.2 kB)\r\n",
"Requirement already satisfied: tensorflow_datasets in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (4.9.3)\r\n"
]
},
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting keras<2.16,>=2.15.0 (from tensorflow)\r\n",
" Using cached keras-2.15.0-py3-none-any.whl.metadata (2.4 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: array-record in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (0.5.0)\r\n",
"Requirement already satisfied: click in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (8.1.7)\r\n",
"Requirement already satisfied: dm-tree in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (0.1.8)\r\n",
"Requirement already satisfied: etils>=0.9.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from etils[enp,epath,etree]>=0.9.0->tensorflow_datasets) (1.5.2)\r\n",
"Requirement already satisfied: promise in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (2.3)\r\n",
"Requirement already satisfied: psutil in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (5.9.7)\r\n",
"Requirement already satisfied: requests>=2.19.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow_datasets) (2.31.0)\r\n",
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]
},
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]
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]
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},
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]
},
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]
},
{
"name": "stdout",
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"Requirement already satisfied: oauthlib>=3.0.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow) (3.2.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading tensorflow_text-2.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached tensorflow-2.15.0.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (475.2 MB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached keras-2.15.0-py3-none-any.whl (1.7 MB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installing collected packages: keras, tensorflow, tensorflow_text\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Successfully installed keras-2.15.0 tensorflow-2.15.0.post1 tensorflow_text-2.15.0\r\n"
]
}
],
"source": [
"!pip install -U tensorflow_text tensorflow tensorflow_datasets"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:18.250985Z",
"iopub.status.busy": "2024-01-11T19:14:18.250455Z",
"iopub.status.idle": "2024-01-11T19:14:20.401774Z",
"shell.execute_reply": "2024-01-11T19:14:20.400970Z"
},
"id": "7TGZmOuqMia9"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting einops\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Downloading einops-0.7.0-py3-none-any.whl.metadata (13 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading einops-0.7.0-py3-none-any.whl (44 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installing collected packages: einops\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Successfully installed einops-0.7.0\r\n"
]
}
],
"source": [
"!pip install einops"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nQ6q39Vd-y-7"
},
"source": [
"このチュートリアルでは多数の import を使用します。ほとんどがデータセットの読み込み目的です。"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"cellView": "form",
"execution": {
"iopub.execute_input": "2024-01-11T19:14:20.406642Z",
"iopub.status.busy": "2024-01-11T19:14:20.405891Z",
"iopub.status.idle": "2024-01-11T19:14:23.738334Z",
"shell.execute_reply": "2024-01-11T19:14:23.737637Z"
},
"id": "U8l4RJ0XRPEm"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 19:14:21.407842: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2024-01-11 19:14:21.407891: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2024-01-11 19:14:21.409458: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
]
}
],
"source": [
"#@title\n",
"import concurrent.futures\n",
"import collections\n",
"import dataclasses\n",
"import hashlib\n",
"import itertools\n",
"import json\n",
"import math\n",
"import os\n",
"import pathlib\n",
"import random\n",
"import re\n",
"import string\n",
"import time\n",
"import urllib.request\n",
"\n",
"import einops\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"from PIL import Image\n",
"import requests\n",
"import tqdm\n",
"\n",
"import tensorflow as tf\n",
"import tensorflow_hub as hub\n",
"import tensorflow_text as text\n",
"import tensorflow_datasets as tfds"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Kl9qGnjWrv80"
},
"source": [
"## [オプション] データ処理\n",
"\n",
"このセクションでは、captions データセットをダウンロードして、トレーニングの準備を行います。入力テキストをトークン化し、事前トレーニング済みの特徴量抽出器モデルを通じてすべての画像の実行結果をキャッシュします。このセクションの内容を完全に理解することは重要ではありません。\n",
"\n",
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "q5e_SigQFiWf"
},
"source": [
"### データセットを選択する\n",
"\n",
"このチュートリアルは、データセットの選択肢を提供するようにセットアップされています。[Flickr8k](https://www.ijcai.org/Proceedings/15/Papers/593.pdf)、または [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) データセットの小さなスライスのいずれかを選択します。これらはゼロからダウンロードして変換されますが、[TensorFlow Datasets](https://www.tensorflow.org/datasets) で提供されている [Coco Captions](https://www.tensorflow.org/datasets/catalog/coco_captions) と完全な [Conceptual Captions](https://www.tensorflow.org/datasets/community_catalog/huggingface/conceptual_captions) というキャプションデータセットを使用するようにチュートリアルを変更することは困難ではありません。\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "wqGXX9Dc5c0v"
},
"source": [
"#### Flickr8k"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:23.742538Z",
"iopub.status.busy": "2024-01-11T19:14:23.742156Z",
"iopub.status.idle": "2024-01-11T19:14:23.749631Z",
"shell.execute_reply": "2024-01-11T19:14:23.749020Z"
},
"id": "kaNy_l7tGuAZ"
},
"outputs": [],
"source": [
"def flickr8k(path='flickr8k'):\n",
" path = pathlib.Path(path)\n",
"\n",
" if len(list(path.rglob('*'))) < 16197:\n",
" tf.keras.utils.get_file(\n",
" origin='https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_Dataset.zip',\n",
" cache_dir='.',\n",
" cache_subdir=path,\n",
" extract=True)\n",
" tf.keras.utils.get_file(\n",
" origin='https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip',\n",
" cache_dir='.',\n",
" cache_subdir=path,\n",
" extract=True)\n",
" \n",
" captions = (path/\"Flickr8k.token.txt\").read_text().splitlines()\n",
" captions = (line.split('\\t') for line in captions)\n",
" captions = ((fname.split('#')[0], caption) for (fname, caption) in captions)\n",
"\n",
" cap_dict = collections.defaultdict(list)\n",
" for fname, cap in captions:\n",
" cap_dict[fname].append(cap)\n",
"\n",
" train_files = (path/'Flickr_8k.trainImages.txt').read_text().splitlines()\n",
" train_captions = [(str(path/'Flicker8k_Dataset'/fname), cap_dict[fname]) for fname in train_files]\n",
"\n",
" test_files = (path/'Flickr_8k.testImages.txt').read_text().splitlines()\n",
" test_captions = [(str(path/'Flicker8k_Dataset'/fname), cap_dict[fname]) for fname in test_files]\n",
"\n",
" train_ds = tf.data.experimental.from_list(train_captions)\n",
" test_ds = tf.data.experimental.from_list(test_captions)\n",
"\n",
" return train_ds, test_ds"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zQICBAF4FmSL"
},
"source": [
"#### Conceptual Captions"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:23.752857Z",
"iopub.status.busy": "2024-01-11T19:14:23.752503Z",
"iopub.status.idle": "2024-01-11T19:14:23.762099Z",
"shell.execute_reply": "2024-01-11T19:14:23.761539Z"
},
"id": "vQwnxXZXRl12"
},
"outputs": [],
"source": [
"def conceptual_captions(*, data_dir=\"conceptual_captions\", num_train, num_val):\n",
" def iter_index(index_path):\n",
" with open(index_path) as f:\n",
" for line in f:\n",
" caption, url = line.strip().split('\\t')\n",
" yield caption, url\n",
"\n",
" def download_image_urls(data_dir, urls):\n",
" ex = concurrent.futures.ThreadPoolExecutor(max_workers=100)\n",
" def save_image(url):\n",
" hash = hashlib.sha1(url.encode())\n",
" # Name the files after the hash of the URL.\n",
" file_path = data_dir/f'{hash.hexdigest()}.jpeg'\n",
" if file_path.exists():\n",
" # Only download each file once.\n",
" return file_path\n",
"\n",
" try:\n",
" result = requests.get(url, timeout=5)\n",
" except Exception:\n",
" file_path = None\n",
" else:\n",
" file_path.write_bytes(result.content)\n",
" return file_path\n",
" \n",
" result = []\n",
" out_paths = ex.map(save_image, urls)\n",
" for file_path in tqdm.tqdm(out_paths, total=len(urls)):\n",
" result.append(file_path)\n",
"\n",
" return result\n",
"\n",
" def ds_from_index_file(index_path, data_dir, count):\n",
" data_dir.mkdir(exist_ok=True)\n",
" index = list(itertools.islice(iter_index(index_path), count))\n",
" captions = [caption for caption, url in index]\n",
" urls = [url for caption, url in index]\n",
"\n",
" paths = download_image_urls(data_dir, urls)\n",
"\n",
" new_captions = []\n",
" new_paths = []\n",
" for cap, path in zip(captions, paths):\n",
" if path is None:\n",
" # Download failed, so skip this pair.\n",
" continue\n",
" new_captions.append(cap)\n",
" new_paths.append(path)\n",
" \n",
" new_paths = [str(p) for p in new_paths]\n",
"\n",
" ds = tf.data.Dataset.from_tensor_slices((new_paths, new_captions))\n",
" ds = ds.map(lambda path,cap: (path, cap[tf.newaxis])) # 1 caption per image\n",
" return ds\n",
"\n",
" data_dir = pathlib.Path(data_dir)\n",
" train_index_path = tf.keras.utils.get_file(\n",
" origin='https://storage.googleapis.com/gcc-data/Train/GCC-training.tsv',\n",
" cache_subdir=data_dir,\n",
" cache_dir='.')\n",
" \n",
" val_index_path = tf.keras.utils.get_file(\n",
" origin='https://storage.googleapis.com/gcc-data/Validation/GCC-1.1.0-Validation.tsv',\n",
" cache_subdir=data_dir,\n",
" cache_dir='.')\n",
" \n",
" train_raw = ds_from_index_file(train_index_path, data_dir=data_dir/'train', count=num_train)\n",
" test_raw = ds_from_index_file(val_index_path, data_dir=data_dir/'val', count=num_val)\n",
"\n",
" return train_raw, test_raw"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rBAagBw5p-TM"
},
"source": [
"#### データセットをダウンロードする"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WFtTZaobquNr"
},
"source": [
"Flickr8k には 1 つの画像につき 5 つのキャプションが含まれているため、より小さなダウンロードサイズでより多くのデータを得られる良い選択肢と言えます。"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:23.765414Z",
"iopub.status.busy": "2024-01-11T19:14:23.764764Z",
"iopub.status.idle": "2024-01-11T19:14:38.711406Z",
"shell.execute_reply": "2024-01-11T19:14:38.710525Z"
},
"id": "EJySPbzJ4Wxw"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_Dataset.zip\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
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" 89522176/1115419746 [=>............................] - ETA: 4s"
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 102498304/1115419746 [=>............................] - ETA: 4s"
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 116219904/1115419746 [==>...........................] - ETA: 4s"
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" 129646592/1115419746 [==>...........................] - ETA: 4s"
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" 143450112/1115419746 [==>...........................] - ETA: 4s"
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{
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" 168476672/1115419746 [===>..........................] - ETA: 3s"
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{
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 181141504/1115419746 [===>..........................] - ETA: 3s"
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{
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{
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 868474880/1115419746 [======================>.......] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 882933760/1115419746 [======================>.......] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 897286144/1115419746 [=======================>......] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 911540224/1115419746 [=======================>......] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 924639232/1115419746 [=======================>......] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 938360832/1115419746 [========================>.....] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 952377344/1115419746 [========================>.....] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 966631424/1115419746 [========================>.....] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 980484096/1115419746 [=========================>....] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 994115584/1115419746 [=========================>....] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1007730688/1115419746 [==========================>...] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1022435328/1115419746 [==========================>...] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1036910592/1115419746 [==========================>...] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1051164672/1115419746 [===========================>..] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1065402368/1115419746 [===========================>..] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1080156160/1115419746 [============================>.] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1094680576/1115419746 [============================>.] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1109245952/1115419746 [============================>.] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1115419746/1115419746 [==============================] - 4s 0us/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/2340801 [..............................] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"1032192/2340801 [============>.................] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"2340801/2340801 [==============================] - 0s 0us/step\n"
]
}
],
"source": [
"choose = 'flickr8k'\n",
"\n",
"if choose == 'flickr8k':\n",
" train_raw, test_raw = flickr8k()\n",
"else:\n",
" train_raw, test_raw = conceptual_captions(num_train=10000, num_val=5000)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-UAc275FHxm8"
},
"source": [
"上記のいずれのデータセットのローダーも、`(image_path, captions)` ペアを含む `tf.data.Dataset` を返します。Flickr8k データセットには 1 つの画像につき 5 つのキャプションが含まれているのに対し、Conceptual Captions のキャプションは 1 つです。"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:38.715455Z",
"iopub.status.busy": "2024-01-11T19:14:38.715190Z",
"iopub.status.idle": "2024-01-11T19:14:38.722135Z",
"shell.execute_reply": "2024-01-11T19:14:38.721517Z"
},
"id": "sAQSps5F8RQI"
},
"outputs": [
{
"data": {
"text/plain": [
"(TensorSpec(shape=(), dtype=tf.string, name=None),\n",
" TensorSpec(shape=(5,), dtype=tf.string, name=None))"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_raw.element_spec"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:38.725363Z",
"iopub.status.busy": "2024-01-11T19:14:38.724844Z",
"iopub.status.idle": "2024-01-11T19:14:39.826135Z",
"shell.execute_reply": "2024-01-11T19:14:39.825301Z"
},
"id": "xIa0ZaP4tBez"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tf.Tensor(b'flickr8k/Flicker8k_Dataset/2513260012_03d33305cf.jpg', shape=(), dtype=string)\n",
"tf.Tensor(\n",
"[b'A black dog is running after a white dog in the snow .'\n",
" b'Black dog chasing brown dog through snow'\n",
" b'Two dogs chase each other across the snowy ground .'\n",
" b'Two dogs play together in the snow .'\n",
" b'Two dogs running through a low lying body of water .'], shape=(5,), dtype=string)\n"
]
}
],
"source": [
"for ex_path, ex_captions in train_raw.take(1):\n",
" print(ex_path)\n",
" print(ex_captions)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8cSW4u-ORPFQ"
},
"source": [
"### 画像特徴量抽出器\n",
"\n",
"画像モデル（imagenet で事前トレーニング済み）を使用して各画像から特徴量を抽出します。このモデルは画像分類器としてトレーニングされていますが、設定 `include_top=False` は最終的な分類レイヤーなしのモデルを返すため、特徴量マップの最後のレイヤーを使用できます。\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:39.830174Z",
"iopub.status.busy": "2024-01-11T19:14:39.829518Z",
"iopub.status.idle": "2024-01-11T19:14:41.373959Z",
"shell.execute_reply": "2024-01-11T19:14:41.373243Z"
},
"id": "IlUckK8Zfikv"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v3/weights_mobilenet_v3_small_224_1.0_float_no_top_v2.h5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/4334752 [..............................] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"4334752/4334752 [==============================] - 0s 0us/step\n"
]
}
],
"source": [
"IMAGE_SHAPE=(224, 224, 3)\n",
"mobilenet = tf.keras.applications.MobileNetV3Small(\n",
" input_shape=IMAGE_SHAPE,\n",
" include_top=False,\n",
" include_preprocessing=True)\n",
"mobilenet.trainable=False"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Dojkiou9gL3R"
},
"source": [
"以下は、画像を読み込んでモデルに合わせてサイズを変更する関数です。"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:41.378024Z",
"iopub.status.busy": "2024-01-11T19:14:41.377338Z",
"iopub.status.idle": "2024-01-11T19:14:41.381225Z",
"shell.execute_reply": "2024-01-11T19:14:41.380638Z"
},
"id": "zXR0217aRPFR"
},
"outputs": [],
"source": [
"def load_image(image_path):\n",
" img = tf.io.read_file(image_path)\n",
" img = tf.io.decode_jpeg(img, channels=3)\n",
" img = tf.image.resize(img, IMAGE_SHAPE[:-1])\n",
" return img"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-JyQ7zS6gzZh"
},
"source": [
"モデルは、入力バッチで各画像の特徴量マップを返します。"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:41.384369Z",
"iopub.status.busy": "2024-01-11T19:14:41.383841Z",
"iopub.status.idle": "2024-01-11T19:14:42.006257Z",
"shell.execute_reply": "2024-01-11T19:14:42.005561Z"
},
"id": "sY86n2i6wJNm"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 224, 224, 3)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 7, 7, 576)\n"
]
}
],
"source": [
"test_img_batch = load_image(ex_path)[tf.newaxis, :]\n",
"\n",
"print(test_img_batch.shape)\n",
"print(mobilenet(test_img_batch).shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nyqH3zFwRPFi"
},
"source": [
"### テキストトークナイザ/ベクタナイザをセットアップする\n",
"\n",
"次の手順で、[TextVectorization](https://www.tensorflow.org/api_docs/python/tf/keras/layers/TextVectorization) レイヤーを使用して、テキストキャプションを整数シーケンスに変換します。\n",
"\n",
"- [adapt](https://www.tensorflow.org/api_docs/python/tf/keras/layers/TextVectorization#adapt) を使用して、すべてのキャプションをイテレートし、キャプションを単語に分割して、上位の単語の語彙を計算します。\n",
"- 各単語を語彙のインデックスにマッピングして、すべてのキャプションをトークン化します。すべての出力シーケンスは、長さ 50 までパディングされます。\n",
"- 結果を表示するために、単語からインデックスおよびインデックスから単語へのマッピングを作成します。"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:42.009917Z",
"iopub.status.busy": "2024-01-11T19:14:42.009659Z",
"iopub.status.idle": "2024-01-11T19:14:42.013514Z",
"shell.execute_reply": "2024-01-11T19:14:42.012890Z"
},
"id": "NroZIzB90hD3"
},
"outputs": [],
"source": [
"def standardize(s):\n",
" s = tf.strings.lower(s)\n",
" s = tf.strings.regex_replace(s, f'[{re.escape(string.punctuation)}]', '')\n",
" s = tf.strings.join(['[START]', s, '[END]'], separator=' ')\n",
" return s"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:42.016485Z",
"iopub.status.busy": "2024-01-11T19:14:42.016252Z",
"iopub.status.idle": "2024-01-11T19:14:42.027544Z",
"shell.execute_reply": "2024-01-11T19:14:42.026865Z"
},
"id": "n9SQOXFsyS36"
},
"outputs": [],
"source": [
"# Use the top 5000 words for a vocabulary.\n",
"vocabulary_size = 5000\n",
"tokenizer = tf.keras.layers.TextVectorization(\n",
" max_tokens=vocabulary_size,\n",
" standardize=standardize,\n",
" ragged=True)\n",
"# Learn the vocabulary from the caption data."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:42.030813Z",
"iopub.status.busy": "2024-01-11T19:14:42.030259Z",
"iopub.status.idle": "2024-01-11T19:14:43.431352Z",
"shell.execute_reply": "2024-01-11T19:14:43.430495Z"
},
"id": "oJGE34aiRPFo"
},
"outputs": [],
"source": [
"tokenizer.adapt(train_raw.map(lambda fp,txt: txt).unbatch().batch(1024))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:43.435125Z",
"iopub.status.busy": "2024-01-11T19:14:43.434874Z",
"iopub.status.idle": "2024-01-11T19:14:43.447635Z",
"shell.execute_reply": "2024-01-11T19:14:43.446978Z"
},
"id": "oRahTDtWhJIf"
},
"outputs": [
{
"data": {
"text/plain": [
"['', '[UNK]', 'a', '[START]', '[END]', 'in', 'the', 'on', 'is', 'and']"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tokenizer.get_vocabulary()[:10]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:43.450941Z",
"iopub.status.busy": "2024-01-11T19:14:43.450371Z",
"iopub.status.idle": "2024-01-11T19:14:44.118563Z",
"shell.execute_reply": "2024-01-11T19:14:44.117654Z"
},
"id": "-2mGxD33JCxN"
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = tokenizer([['a cat in a hat'], ['a robot dog']])\n",
"t"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:44.121794Z",
"iopub.status.busy": "2024-01-11T19:14:44.121540Z",
"iopub.status.idle": "2024-01-11T19:14:44.204581Z",
"shell.execute_reply": "2024-01-11T19:14:44.203969Z"
},
"id": "8Q44tNQVRPFt"
},
"outputs": [],
"source": [
"# Create mappings for words to indices and indices to words.\n",
"word_to_index = tf.keras.layers.StringLookup(\n",
" mask_token=\"\",\n",
" vocabulary=tokenizer.get_vocabulary())\n",
"index_to_word = tf.keras.layers.StringLookup(\n",
" mask_token=\"\",\n",
" vocabulary=tokenizer.get_vocabulary(),\n",
" invert=True)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:44.207941Z",
"iopub.status.busy": "2024-01-11T19:14:44.207672Z",
"iopub.status.idle": "2024-01-11T19:14:44.217748Z",
"shell.execute_reply": "2024-01-11T19:14:44.217116Z"
},
"id": "qo-cfCX3LnHs"
},
"outputs": [
{
"data": {
"text/plain": [
"[[b'[START]', b'a', b'cat', b'in', b'a', b'hat', b'[END]'],\n",
" [b'[START]', b'a', b'robot', b'dog', b'[END]']]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"w = index_to_word(t)\n",
"w.to_list()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:44.220549Z",
"iopub.status.busy": "2024-01-11T19:14:44.220300Z",
"iopub.status.idle": "2024-01-11T19:14:44.276026Z",
"shell.execute_reply": "2024-01-11T19:14:44.275402Z"
},
"id": "rrUUfGc65vAT"
},
"outputs": [
{
"data": {
"text/plain": [
"array([b'[START] a cat in a hat [END]', b'[START] a robot dog [END]'],\n",
" dtype=object)"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tf.strings.reduce_join(w, separator=' ', axis=-1).numpy()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uEWM9xrYcg45"
},
"source": [
"### データセットを準備する"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6aX0Z_98S2tN"
},
"source": [
"`train_raw` と `test_raw` データセットには、一対多の `(image, captions)` ペアが含まれます。\n",
"\n",
"この関数は、画像とキャプションが 1:1 になるように、画像を複製します。"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:44.279591Z",
"iopub.status.busy": "2024-01-11T19:14:44.279343Z",
"iopub.status.idle": "2024-01-11T19:14:44.283133Z",
"shell.execute_reply": "2024-01-11T19:14:44.282530Z"
},
"id": "3_Lqwl9NiGT0"
},
"outputs": [],
"source": [
"def match_shapes(images, captions):\n",
" caption_shape = einops.parse_shape(captions, 'b c')\n",
" captions = einops.rearrange(captions, 'b c -> (b c)')\n",
" images = einops.repeat(\n",
" images, 'b ... -> (b c) ...',\n",
" c = caption_shape['c'])\n",
" return images, captions"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:44.286588Z",
"iopub.status.busy": "2024-01-11T19:14:44.285938Z",
"iopub.status.idle": "2024-01-11T19:14:45.479401Z",
"shell.execute_reply": "2024-01-11T19:14:45.478595Z"
},
"id": "CZGUsuGzUfzt"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"image paths: (32,)\n",
"captions: (32, 5)\n",
"\n",
"image_paths: (160,)\n",
"captions: (160,)\n"
]
}
],
"source": [
"for ex_paths, ex_captions in train_raw.batch(32).take(1):\n",
" break\n",
"\n",
"print('image paths:', ex_paths.shape)\n",
"print('captions:', ex_captions.shape)\n",
"print()\n",
"\n",
"ex_paths, ex_captions = match_shapes(images=ex_paths, captions=ex_captions)\n",
"\n",
"print('image_paths:', ex_paths.shape)\n",
"print('captions:', ex_captions.shape)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8ENR_-swVhnm"
},
"source": [
"Keras トレーニングと互換性を持たせるため、データセットには `(inputs, labels)` ペアを含める必要があります。テキスト生成では、トークンは、入力とラベルのいずれでもあり、1 ステップずつシフトされます。この関数は、`(images, texts)` ペアを `((images, input_tokens), label_tokens)` ペアに変換します。"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:45.482898Z",
"iopub.status.busy": "2024-01-11T19:14:45.482602Z",
"iopub.status.idle": "2024-01-11T19:14:45.486613Z",
"shell.execute_reply": "2024-01-11T19:14:45.485896Z"
},
"id": "2DsgQ_hZT4C2"
},
"outputs": [],
"source": [
"def prepare_txt(imgs, txts):\n",
" tokens = tokenizer(txts)\n",
"\n",
" input_tokens = tokens[..., :-1]\n",
" label_tokens = tokens[..., 1:]\n",
" return (imgs, input_tokens), label_tokens"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DA1x2j0JXX-N"
},
"source": [
"この関数は、以下の手順でデータセットに演算を追加します。\n",
"\n",
"1. 画像を読み込みます（読み込みに失敗する画像は無視されます）。\n",
"2. キャプションの数に合わせて画像を複製します。\n",
"3. `image, caption` ペアをシャッフルして再バッチ化します。\n",
"4. テキストをトークン化し、トークンをシフトして `label_tokens` を追加します。\n",
"5. `RaggedTensor` 表現のテキストをパディング付きの高密度 `Tensor` 表現に変換します。"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:45.490055Z",
"iopub.status.busy": "2024-01-11T19:14:45.489637Z",
"iopub.status.idle": "2024-01-11T19:14:45.495067Z",
"shell.execute_reply": "2024-01-11T19:14:45.494454Z"
},
"id": "4_Pt9zldjQ0q"
},
"outputs": [],
"source": [
"def prepare_dataset(ds, tokenizer, batch_size=32, shuffle_buffer=1000):\n",
" # Load the images and make batches.\n",
" ds = (ds\n",
" .shuffle(10000)\n",
" .map(lambda path, caption: (load_image(path), caption))\n",
" .apply(tf.data.experimental.ignore_errors())\n",
" .batch(batch_size))\n",
"\n",
" def to_tensor(inputs, labels):\n",
" (images, in_tok), out_tok = inputs, labels\n",
" return (images, in_tok.to_tensor()), out_tok.to_tensor()\n",
"\n",
" return (ds\n",
" .map(match_shapes, tf.data.AUTOTUNE)\n",
" .unbatch()\n",
" .shuffle(shuffle_buffer)\n",
" .batch(batch_size)\n",
" .map(prepare_txt, tf.data.AUTOTUNE)\n",
" .map(to_tensor, tf.data.AUTOTUNE)\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LrQ85t1GNfpQ"
},
"source": [
"以下のようにして、特徴量抽出器をモデルにインストールし、データセットでトレーニングすることが可能です。"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:45.498158Z",
"iopub.status.busy": "2024-01-11T19:14:45.497899Z",
"iopub.status.idle": "2024-01-11T19:14:46.747576Z",
"shell.execute_reply": "2024-01-11T19:14:46.744109Z"
},
"id": "1KlhOG5cjQ0r"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /tmpfs/tmp/ipykernel_116100/1004139779.py:6: ignore_errors (from tensorflow.python.data.experimental.ops.error_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.data.Dataset.ignore_errors` instead.\n"
]
},
{
"data": {
"text/plain": [
"((TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None)),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None))"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_ds = prepare_dataset(train_raw, tokenizer)\n",
"train_ds.element_spec"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:46.750877Z",
"iopub.status.busy": "2024-01-11T19:14:46.750632Z",
"iopub.status.idle": "2024-01-11T19:14:46.877454Z",
"shell.execute_reply": "2024-01-11T19:14:46.876787Z"
},
"id": "d7Zy9F3zX7i2"
},
"outputs": [
{
"data": {
"text/plain": [
"((TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None)),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None))"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_ds = prepare_dataset(test_raw, tokenizer)\n",
"test_ds.element_spec"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XZyKygJ8S8zW"
},
"source": [
"### [オプション] 画像特徴量をキャッシュする"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eHKhSKhti6NS"
},
"source": [
"画像特徴量抽出器には変化がなく、このチュートリアルでは画像拡張を使用していないため、画像特徴量をキャッシュすることができます。テキストトークン化についても同様です。キャッシュをセットアップするのに時間がかかりますが、その時間は、トレーニングと検証中に、各エポックで取り返すことができます。以下のコードでは、`save_dataset` と `load_dataset` の 2 つの関数を定義しています。 "
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:46.881031Z",
"iopub.status.busy": "2024-01-11T19:14:46.880794Z",
"iopub.status.idle": "2024-01-11T19:14:46.888550Z",
"shell.execute_reply": "2024-01-11T19:14:46.887871Z"
},
"id": "9N1MX5ym6xm5"
},
"outputs": [],
"source": [
"def save_dataset(ds, save_path, image_model, tokenizer, shards=10, batch_size=32):\n",
" # Load the images and make batches.\n",
" ds = (ds\n",
" .map(lambda path, caption: (load_image(path), caption))\n",
" .apply(tf.data.experimental.ignore_errors())\n",
" .batch(batch_size))\n",
"\n",
" # Run the feature extractor on each batch\n",
" # Don't do this in a .map, because tf.data runs on the CPU. \n",
" def gen():\n",
" for (images, captions) in tqdm.tqdm(ds): \n",
" feature_maps = image_model(images)\n",
"\n",
" feature_maps, captions = match_shapes(feature_maps, captions)\n",
" yield feature_maps, captions\n",
"\n",
" # Wrap the generator in a new tf.data.Dataset.\n",
" new_ds = tf.data.Dataset.from_generator(\n",
" gen,\n",
" output_signature=(\n",
" tf.TensorSpec(shape=image_model.output_shape),\n",
" tf.TensorSpec(shape=(None,), dtype=tf.string)))\n",
"\n",
" # Apply the tokenization \n",
" new_ds = (new_ds\n",
" .map(prepare_txt, tf.data.AUTOTUNE)\n",
" .unbatch()\n",
" .shuffle(1000))\n",
"\n",
" # Save the dataset into shard files.\n",
" def shard_func(i, item):\n",
" return i % shards\n",
" new_ds.enumerate().save(save_path, shard_func=shard_func)\n",
"\n",
"def load_dataset(save_path, batch_size=32, shuffle=1000, cycle_length=2):\n",
" def custom_reader_func(datasets):\n",
" datasets = datasets.shuffle(1000)\n",
" return datasets.interleave(lambda x: x, cycle_length=cycle_length)\n",
" \n",
" ds = tf.data.Dataset.load(save_path, reader_func=custom_reader_func)\n",
"\n",
" def drop_index(i, x):\n",
" return x\n",
"\n",
" ds = (ds\n",
" .map(drop_index, tf.data.AUTOTUNE)\n",
" .shuffle(shuffle)\n",
" .padded_batch(batch_size)\n",
" .prefetch(tf.data.AUTOTUNE))\n",
" return ds"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:14:46.891728Z",
"iopub.status.busy": "2024-01-11T19:14:46.891118Z",
"iopub.status.idle": "2024-01-11T19:15:14.999134Z",
"shell.execute_reply": "2024-01-11T19:15:14.998362Z"
},
"id": "tNdzrenxB3Yy"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\r",
"0it [00:00, ?it/s]"
]
},
{
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"\r",
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]
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"text": [
"\n"
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}
],
"source": [
"save_dataset(train_raw, 'train_cache', mobilenet, tokenizer)\n",
"save_dataset(test_raw, 'test_cache', mobilenet, tokenizer)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "798DtfH51UI8"
},
"source": [
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GI265LiDslr2"
},
"source": [
"## トレーニングの準備が完了したデータ\n",
"\n",
"前処理手順が完了したら、データセットは以下のようになります。"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.003625Z",
"iopub.status.busy": "2024-01-11T19:15:15.003358Z",
"iopub.status.idle": "2024-01-11T19:15:15.111358Z",
"shell.execute_reply": "2024-01-11T19:15:15.110576Z"
},
"id": "Pwic2YCjHZmV"
},
"outputs": [],
"source": [
"train_ds = load_dataset('train_cache')\n",
"test_ds = load_dataset('test_cache')"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.115215Z",
"iopub.status.busy": "2024-01-11T19:15:15.114961Z",
"iopub.status.idle": "2024-01-11T19:15:15.119895Z",
"shell.execute_reply": "2024-01-11T19:15:15.119122Z"
},
"id": "3B80JXj7HloX"
},
"outputs": [
{
"data": {
"text/plain": [
"((TensorSpec(shape=(None, 7, 7, 576), dtype=tf.float32, name=None),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None)),\n",
" TensorSpec(shape=(None, None), dtype=tf.int64, name=None))"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_ds.element_spec"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5jfb8qknlsKi"
},
"source": [
"このデータセットは、Keras でのトレーニングに適した `(input, label)` ペアを返すようになりました。`inputs` は `(images, input_tokens)` ペアです。`images` は特徴量抽出器モデルで処理が完了しています。`input_tokens` の各場所では、モデルはそれまでのテキストを見て、`labels` 内の同じ位置に並んでいる次のテキストを予測しようとします。"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.123575Z",
"iopub.status.busy": "2024-01-11T19:15:15.123326Z",
"iopub.status.idle": "2024-01-11T19:15:15.347378Z",
"shell.execute_reply": "2024-01-11T19:15:15.346639Z"
},
"id": "YJBEwuXLZQdw"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(32, 7, 7, 576)\n",
"(32, 18)\n",
"(32, 18)\n"
]
}
],
"source": [
"for (inputs, ex_labels) in train_ds.take(1):\n",
" (ex_img, ex_in_tok) = inputs\n",
"\n",
"print(ex_img.shape)\n",
"print(ex_in_tok.shape)\n",
"print(ex_labels.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "22R58DzZoF17"
},
"source": [
"入力トークンとラベルは、1 ステップずつシフトしているだけで、同じです。"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.351400Z",
"iopub.status.busy": "2024-01-11T19:15:15.350768Z",
"iopub.status.idle": "2024-01-11T19:15:15.356597Z",
"shell.execute_reply": "2024-01-11T19:15:15.355988Z"
},
"id": "V7h5UGftn1hT"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 3 29 1708 648 13 24 620 5 2 2857 0 0 0 0\n",
" 0 0 0 0]\n",
"[ 29 1708 648 13 24 620 5 2 2857 4 0 0 0 0\n",
" 0 0 0 0]\n"
]
}
],
"source": [
"print(ex_in_tok[0].numpy())\n",
"print(ex_labels[0].numpy())"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DfICM49WFpIb"
},
"source": [
"## Transformer デコーダモデル"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ONyjuWsmZoyO"
},
"source": [
"このモデルは、事前トレーニング済みの画像エンコーダが十分であることを前提としているため、テキストエンコーダの構築のみに焦点を当てています。このチュートリアルでは 2 レイヤーの Transformer デコーダを使用します。\n",
"\n",
"実装は、[Transformers チュートリアル](https://www.tensorflow.org/text/tutorials/transformer)とほぼ同一です。詳細は、そちらをご覧ください。\n",
"\n",
"\n",
"\n",
" Transformer エンコーダとデコーダ \n",
" \n",
"\n",
" \n",
" \n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "qiRXWwIKNybB"
},
"source": [
"モデルは、主に以下の 3 つのパーツで実装されます。\n",
"\n",
"1. 入力 - トークン埋め込みと位置エンコーディング（`SeqEmbedding`）。\n",
"2. デコーダ - Transformer デコーダレイヤーのスタック（`DecoderLayer`）で、それぞれに以下が含まれます。\n",
" 1. カジュアルなセルフアテンションレイヤー（`CausalSelfAttention`）。出力の各場所はそれまでの出力に注目します。\n",
" 2. クロスアテンションレイヤー（`CrossAttention`）。出力の各場所は入力画像に注目します。\n",
" 3. フィードフォワードネットワーク（`FeedForward`）レイヤー。各出力場所をさらに個別に処理します。\n",
"3. 出力 - 出力語彙に対するマルチクラス分類。\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_ngm3SQMCaYU"
},
"source": [
"### 入力"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "i9suaARZGPKw"
},
"source": [
"入力テキストはすでにトークンに分割され、ID のシーケンスに変換されています。\n",
"\n",
"CNN や RNN とは異なり、Transformer のアテンションレイヤーは、シーケンスの順序に対して不変であることを思い出しましょう。なんらかの位置入力がないと、シーケンスではなく順序付けられていないセットが表示されます。そのため、Embedding レイヤーには、各トークンの単純なベクトル埋め込みの他に、シーケンスの各位置の埋め込みも含められます。\n",
"\n",
"`SeqEmbedding` レイヤーは以下のように定義されています。\n",
"\n",
"- 各トークンの埋め込みベクトルをルックアップします。\n",
"- 各シーケンス位置の埋め込みベクトルをルックアップします。\n",
"- その両方を追加します。\n",
"- `mask_zero=True` を使用して、モデルの keras-masks を初期化します。\n",
"\n",
"注意: この実装は、[Transformer チュートリアル](https://www.tensorflow.org/text/tutorials/transformer)のように固定埋め込みを使用する代わりに、位置埋め込みを学習します。埋め込みの学習ではコードがわずかに少なくなりますが、より長いシーケンスには一般化されません。"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.360512Z",
"iopub.status.busy": "2024-01-11T19:15:15.360040Z",
"iopub.status.idle": "2024-01-11T19:15:15.365665Z",
"shell.execute_reply": "2024-01-11T19:15:15.365000Z"
},
"id": "P91LU2F0a9Ga"
},
"outputs": [],
"source": [
"class SeqEmbedding(tf.keras.layers.Layer):\n",
" def __init__(self, vocab_size, max_length, depth):\n",
" super().__init__()\n",
" self.pos_embedding = tf.keras.layers.Embedding(input_dim=max_length, output_dim=depth)\n",
"\n",
" self.token_embedding = tf.keras.layers.Embedding(\n",
" input_dim=vocab_size,\n",
" output_dim=depth,\n",
" mask_zero=True)\n",
" \n",
" self.add = tf.keras.layers.Add()\n",
"\n",
" def call(self, seq):\n",
" seq = self.token_embedding(seq) # (batch, seq, depth)\n",
"\n",
" x = tf.range(tf.shape(seq)[1]) # (seq)\n",
" x = x[tf.newaxis, :] # (1, seq)\n",
" x = self.pos_embedding(x) # (1, seq, depth)\n",
"\n",
" return self.add([seq,x])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "II1mD-bBCdMB"
},
"source": [
"### デコーダ"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GHMLeMtKPTCW"
},
"source": [
"デコーダは標準的な Transformer デコーダで、それぞれに `CausalSelfAttention`、`CrossAttention`、および `FeedForward`-decoder の 3 つのサブレイヤーを含む `DecoderLayers` のスタックが含まれます。実装は [Transformer チュートリアル](https://www.tensorflow.org/text/tutorials/transformer)とほぼ同一であるため、詳細はそちらをご覧ください。\n",
"\n",
"以下は、`CausalSelfAttention` レイヤーです。"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.369012Z",
"iopub.status.busy": "2024-01-11T19:15:15.368635Z",
"iopub.status.idle": "2024-01-11T19:15:15.373377Z",
"shell.execute_reply": "2024-01-11T19:15:15.372788Z"
},
"id": "6JTLiX3lKooQ"
},
"outputs": [],
"source": [
"class CausalSelfAttention(tf.keras.layers.Layer):\n",
" def __init__(self, **kwargs):\n",
" super().__init__()\n",
" self.mha = tf.keras.layers.MultiHeadAttention(**kwargs)\n",
" # Use Add instead of + so the keras mask propagates through.\n",
" self.add = tf.keras.layers.Add() \n",
" self.layernorm = tf.keras.layers.LayerNormalization()\n",
" \n",
" def call(self, x):\n",
" attn = self.mha(query=x, value=x,\n",
" use_causal_mask=True)\n",
" x = self.add([x, attn])\n",
" return self.layernorm(x)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8c66OTRwQfd8"
},
"source": [
"以下は、`CrossAttention` レイヤーです。`return_attention_scores` の使用に注意してください。"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.376907Z",
"iopub.status.busy": "2024-01-11T19:15:15.376318Z",
"iopub.status.idle": "2024-01-11T19:15:15.381226Z",
"shell.execute_reply": "2024-01-11T19:15:15.380557Z"
},
"id": "rIY6Vu2pLBAO"
},
"outputs": [],
"source": [
"class CrossAttention(tf.keras.layers.Layer):\n",
" def __init__(self,**kwargs):\n",
" super().__init__()\n",
" self.mha = tf.keras.layers.MultiHeadAttention(**kwargs)\n",
" self.add = tf.keras.layers.Add() \n",
" self.layernorm = tf.keras.layers.LayerNormalization()\n",
" \n",
" def call(self, x, y, **kwargs):\n",
" attn, attention_scores = self.mha(\n",
" query=x, value=y,\n",
" return_attention_scores=True)\n",
" \n",
" self.last_attention_scores = attention_scores\n",
"\n",
" x = self.add([x, attn])\n",
" return self.layernorm(x)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8Hn5p6f-RE0C"
},
"source": [
"以下は、`FeedForward` レイヤーです。`layers.Dense` レイヤーは入力の最後の軸に適用されることを思い出しましょう。入力は `(batch, sequence, channels)` の形状になるため、`batch` と `sequence` 軸にポイントワイズが自動的に適用されます。 "
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.384368Z",
"iopub.status.busy": "2024-01-11T19:15:15.384127Z",
"iopub.status.idle": "2024-01-11T19:15:15.389106Z",
"shell.execute_reply": "2024-01-11T19:15:15.388525Z"
},
"id": "cWKrl7teOnH2"
},
"outputs": [],
"source": [
"class FeedForward(tf.keras.layers.Layer):\n",
" def __init__(self, units, dropout_rate=0.1):\n",
" super().__init__()\n",
" self.seq = tf.keras.Sequential([\n",
" tf.keras.layers.Dense(units=2*units, activation='relu'),\n",
" tf.keras.layers.Dense(units=units),\n",
" tf.keras.layers.Dropout(rate=dropout_rate),\n",
" ])\n",
"\n",
" self.layernorm = tf.keras.layers.LayerNormalization()\n",
" \n",
" def call(self, x):\n",
" x = x + self.seq(x)\n",
" return self.layernorm(x)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lbXoiVNPRoJc"
},
"source": [
"次に、これらの 3 つのレイヤーをより大きな `DecoderLayer` に配置します。各デコーダレイヤーは、3 つの小さなレイヤーをシーケンスで適用します。各サブレイヤーの後、`out_seq` の形状は `(batch, sequence, channels)` になります。デコーダレイヤーは、後で可視化できる `attention_scores` も返します。"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.392649Z",
"iopub.status.busy": "2024-01-11T19:15:15.392181Z",
"iopub.status.idle": "2024-01-11T19:15:15.397209Z",
"shell.execute_reply": "2024-01-11T19:15:15.396612Z"
},
"id": "ydcW5KZZHou7"
},
"outputs": [],
"source": [
"class DecoderLayer(tf.keras.layers.Layer):\n",
" def __init__(self, units, num_heads=1, dropout_rate=0.1):\n",
" super().__init__()\n",
" \n",
" self.self_attention = CausalSelfAttention(num_heads=num_heads,\n",
" key_dim=units,\n",
" dropout=dropout_rate)\n",
" self.cross_attention = CrossAttention(num_heads=num_heads,\n",
" key_dim=units,\n",
" dropout=dropout_rate)\n",
" self.ff = FeedForward(units=units, dropout_rate=dropout_rate)\n",
" \n",
"\n",
" def call(self, inputs, training=False):\n",
" in_seq, out_seq = inputs\n",
"\n",
" # Text input\n",
" out_seq = self.self_attention(out_seq)\n",
"\n",
" out_seq = self.cross_attention(out_seq, in_seq)\n",
" \n",
" self.last_attention_scores = self.cross_attention.last_attention_scores\n",
"\n",
" out_seq = self.ff(out_seq)\n",
"\n",
" return out_seq"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-lgbYrF5Csqu"
},
"source": [
"### 出力"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "VcnKZkrklAQf"
},
"source": [
"最低でも、出力レイヤーには、各位置で各トークンのロジット予測を生成するための `layers.Dense` レイヤーが必要です。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6WQD87efena5"
},
"source": [
"しかし、この動作を少しでも改良するために追加できる他の特徴量は少ししかありません。\n",
"\n",
"1. **不正なトークンを処理する**: モデルはテキストを生成します。パディング、不明、または開始トークン（`''`、`'[UNK]'`、`'[START]'`）を絶対に生成してはいけません。したがって、これらのバイアスは大きな負の値に設定します。\n",
"\n",
" > 注意: これらのトークンは、損失関数ででも無視する必要があります。\n",
"\n",
"2. **スマート初期化**: 高密度レイヤーのデフォルトの初期化では、最初にほぼ一様の尤度で各トークンを予測するモデルが得られます。実際のトークン分布は一様からはほど遠いものです。出力レイヤーの初期バイアスの最適な値は、各トークンの確率の対数です。したがって、`adapt` メソッドを含めてトークンをカウントし、最適な初期バイアスを設定します。こうすることで、初期損失が一様分布のエントロピー（`log(vocabulary_size)`）から分布の限界エントロピー（`-p*log(p)`）に減少します。\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.400951Z",
"iopub.status.busy": "2024-01-11T19:15:15.400386Z",
"iopub.status.idle": "2024-01-11T19:15:15.407973Z",
"shell.execute_reply": "2024-01-11T19:15:15.407382Z"
},
"id": "CeWw2SFDHUfo"
},
"outputs": [],
"source": [
"#@title\n",
"class TokenOutput(tf.keras.layers.Layer):\n",
" def __init__(self, tokenizer, banned_tokens=('', '[UNK]', '[START]'), **kwargs):\n",
" super().__init__()\n",
" \n",
" self.dense = tf.keras.layers.Dense(\n",
" units=tokenizer.vocabulary_size(), **kwargs)\n",
" self.tokenizer = tokenizer\n",
" self.banned_tokens = banned_tokens\n",
"\n",
" self.bias = None\n",
"\n",
" def adapt(self, ds):\n",
" counts = collections.Counter()\n",
" vocab_dict = {name: id \n",
" for id, name in enumerate(self.tokenizer.get_vocabulary())}\n",
"\n",
" for tokens in tqdm.tqdm(ds):\n",
" counts.update(tokens.numpy().flatten())\n",
"\n",
" counts_arr = np.zeros(shape=(self.tokenizer.vocabulary_size(),))\n",
" counts_arr[np.array(list(counts.keys()), dtype=np.int32)] = list(counts.values())\n",
"\n",
" counts_arr = counts_arr[:]\n",
" for token in self.banned_tokens:\n",
" counts_arr[vocab_dict[token]] = 0\n",
"\n",
" total = counts_arr.sum()\n",
" p = counts_arr/total\n",
" p[counts_arr==0] = 1.0\n",
" log_p = np.log(p) # log(1) == 0\n",
"\n",
" entropy = -(log_p*p).sum()\n",
"\n",
" print()\n",
" print(f\"Uniform entropy: {np.log(self.tokenizer.vocabulary_size()):0.2f}\")\n",
" print(f\"Marginal entropy: {entropy:0.2f}\")\n",
"\n",
" self.bias = log_p\n",
" self.bias[counts_arr==0] = -1e9\n",
"\n",
" def call(self, x):\n",
" x = self.dense(x)\n",
" # TODO(b/250038731): Fix this.\n",
" # An Add layer doesn't work because of the different shapes.\n",
" # This clears the mask, that's okay because it prevents keras from rescaling\n",
" # the losses.\n",
" return x + self.bias\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xzQHqANd1A6Q"
},
"source": [
"スマート初期化によって、初期損失をが大幅に減少します。"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:15.411485Z",
"iopub.status.busy": "2024-01-11T19:15:15.410931Z",
"iopub.status.idle": "2024-01-11T19:15:18.115398Z",
"shell.execute_reply": "2024-01-11T19:15:18.114706Z"
},
"id": "GGnOQyc501B2"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\r",
" 0%| | 0/938 [00:00 b (h w) c')\n",
"\n",
"\n",
" if txt.dtype == tf.string:\n",
" # Apply the tokenizer if you get string inputs.\n",
" txt = tokenizer(txt)\n",
"\n",
" txt = self.seq_embedding(txt)\n",
"\n",
" # Look at the image\n",
" for dec_layer in self.decoder_layers:\n",
" txt = dec_layer(inputs=(image, txt))\n",
" \n",
" txt = self.output_layer(txt)\n",
"\n",
" return txt"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:18.136296Z",
"iopub.status.busy": "2024-01-11T19:15:18.135821Z",
"iopub.status.idle": "2024-01-11T19:15:18.249231Z",
"shell.execute_reply": "2024-01-11T19:15:18.248587Z"
},
"id": "kmM7aZQsLiyU"
},
"outputs": [],
"source": [
"model = Captioner(tokenizer, feature_extractor=mobilenet, output_layer=output_layer,\n",
" units=256, dropout_rate=0.5, num_layers=2, num_heads=2)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xGvOcLQKghXN"
},
"source": [
"### キャプションを生成する\n",
"\n",
"トレーニングに進む前に、キャプションを生成するコードを記述します。これを使用して、トレーニングの進捗状況を確認します。\n",
"\n",
"テスト画像のダウンロードから始めましょう。"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:18.253216Z",
"iopub.status.busy": "2024-01-11T19:15:18.252524Z",
"iopub.status.idle": "2024-01-11T19:15:18.755576Z",
"shell.execute_reply": "2024-01-11T19:15:18.754951Z"
},
"id": "cwFcdMqC-jE2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://tensorflow.org/images/surf.jpg\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/64400 [==>...........................] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"64400/64400 [==============================] - 0s 0us/step\n"
]
}
],
"source": [
"image_url = 'https://tensorflow.org/images/surf.jpg'\n",
"image_path = tf.keras.utils.get_file('surf.jpg', origin=image_url)\n",
"image = load_image(image_path)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IRBIiTkubmxA"
},
"source": [
"このモデルで画像にキャプションを付けるには、以下のようにします。\n",
"\n",
"- `img_features` を抽出します。\n",
"- `[START]` トークンで出力トークンのリストを初期化します。\n",
"- `img_features` と `tokens` をモデルに渡します。\n",
" - ロジットのリストが返されます。\n",
" - これらのロジットに基づいて、次のトークンを選択します。\n",
" - それをトークンのリストに追加し、ループを続けます。\n",
" - `'[END]'` トークンが生成されたら、ループを抜けます。\n",
"\n",
"では、これを行うだけの「単純な」メソッドを追加しましょう。"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:18.759053Z",
"iopub.status.busy": "2024-01-11T19:15:18.758569Z",
"iopub.status.idle": "2024-01-11T19:15:18.764617Z",
"shell.execute_reply": "2024-01-11T19:15:18.764033Z"
},
"id": "Nf1Jie9ef_Cg"
},
"outputs": [],
"source": [
"@Captioner.add_method\n",
"def simple_gen(self, image, temperature=1):\n",
" initial = self.word_to_index([['[START]']]) # (batch, sequence)\n",
" img_features = self.feature_extractor(image[tf.newaxis, ...])\n",
"\n",
" tokens = initial # (batch, sequence)\n",
" for n in range(50):\n",
" preds = self((img_features, tokens)).numpy() # (batch, sequence, vocab)\n",
" preds = preds[:,-1, :] #(batch, vocab)\n",
" if temperature==0:\n",
" next = tf.argmax(preds, axis=-1)[:, tf.newaxis] # (batch, 1)\n",
" else:\n",
" next = tf.random.categorical(preds/temperature, num_samples=1) # (batch, 1)\n",
" tokens = tf.concat([tokens, next], axis=1) # (batch, sequence) \n",
"\n",
" if next[0] == self.word_to_index('[END]'):\n",
" break\n",
" words = index_to_word(tokens[0, 1:-1])\n",
" result = tf.strings.reduce_join(words, axis=-1, separator=' ')\n",
" return result.numpy().decode()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TxN2NPX2zB8y"
},
"source": [
"以下は、その画像に生成されたいくつかのキャプションです。モデルはトレーニングされていないため、まだあまり意味を成しません。"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:18.767558Z",
"iopub.status.busy": "2024-01-11T19:15:18.767325Z",
"iopub.status.idle": "2024-01-11T19:15:20.653043Z",
"shell.execute_reply": "2024-01-11T19:15:20.652352Z"
},
"id": "sPm96CccvHnq"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a a a\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a a a in a\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a helmet two big\n"
]
}
],
"source": [
"for t in (0.0, 0.5, 1.0):\n",
" result = model.simple_gen(image, temperature=t)\n",
" print(result)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JefwCRZ8z-Ah"
},
"source": [
"temperature パラメータを使うと、3 つのモード間を補間できます。\n",
"\n",
"1. Greedy デコーディング（`temperature=0.0`）- 各ステップで最も可能性の高い次のトークンを選択します。\n",
"2. ロジットに基づくランダムサンプリング（`temperature=1.0`）。\n",
"3. 一様のランダムサンプリング（`temperature >> 1.0`）。\n",
"\n",
"モデルはトレーニングされていないため、また頻度ベースの初期化を使用しているため、\"greedy\" 出力（最初の出力）には通常、最も一般的なトークン tokens: `['a', '.', '[END]']` のみが含まれます。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "r0FpTvaPkqON"
},
"source": [
"## トレーニング"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IKcwZdqObK-U"
},
"source": [
"モデルをトレーニングするには、追加コンポーネントがいくつか必要となります。\n",
"\n",
"- 損失と指標\n",
"- オプティマイザ\n",
"- オプションのコールバック"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "g5IW2mWa2sAG"
},
"source": [
"### 損失と指標"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XbpbDQTw1lOW"
},
"source": [
"以下は、マスクされた損失と精度の実装です。\n",
"\n",
"損失のマスクを計算する際は、`loss < 1e8` に注意してください。この項は、`banned_tokens` の人為的で、ありえないほど大きな損失を破棄します。"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:20.656818Z",
"iopub.status.busy": "2024-01-11T19:15:20.656567Z",
"iopub.status.idle": "2024-01-11T19:15:20.661860Z",
"shell.execute_reply": "2024-01-11T19:15:20.661091Z"
},
"id": "s24im3FqxAfT"
},
"outputs": [],
"source": [
"def masked_loss(labels, preds): \n",
" loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels, preds)\n",
"\n",
" mask = (labels != 0) & (loss < 1e8) \n",
" mask = tf.cast(mask, loss.dtype)\n",
"\n",
" loss = loss*mask\n",
" loss = tf.reduce_sum(loss)/tf.reduce_sum(mask)\n",
" return loss\n",
"\n",
"def masked_acc(labels, preds):\n",
" mask = tf.cast(labels!=0, tf.float32)\n",
" preds = tf.argmax(preds, axis=-1)\n",
" labels = tf.cast(labels, tf.int64)\n",
" match = tf.cast(preds == labels, mask.dtype)\n",
" acc = tf.reduce_sum(match*mask)/tf.reduce_sum(mask)\n",
" return acc"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zOhjHqgv3F2e"
},
"source": [
"### コールバック"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3dyQN9UfJYEd"
},
"source": [
"トレーニング中のフィードバックでは、`keras.callbacks.Callback` を、サーファーの画像のキャプションを各エポックの最後に生成するようにセットアップします。"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:20.665354Z",
"iopub.status.busy": "2024-01-11T19:15:20.664753Z",
"iopub.status.idle": "2024-01-11T19:15:20.669221Z",
"shell.execute_reply": "2024-01-11T19:15:20.668641Z"
},
"id": "IKDwbZOCZ-AP"
},
"outputs": [],
"source": [
"class GenerateText(tf.keras.callbacks.Callback):\n",
" def __init__(self):\n",
" image_url = 'https://tensorflow.org/images/surf.jpg'\n",
" image_path = tf.keras.utils.get_file('surf.jpg', origin=image_url)\n",
" self.image = load_image(image_path)\n",
"\n",
" def on_epoch_end(self, epochs=None, logs=None):\n",
" print()\n",
" print()\n",
" for t in (0.0, 0.5, 1.0):\n",
" result = self.model.simple_gen(self.image, temperature=t)\n",
" print(result)\n",
" print()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1yNA3_RAsdl0"
},
"source": [
"これは、前の例のような 3 つの出力文字列を生成します。前と同様に、最初に「greedy」を使用し、各ステップでロジットの argmax を選択します。"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:20.672474Z",
"iopub.status.busy": "2024-01-11T19:15:20.671900Z",
"iopub.status.idle": "2024-01-11T19:15:21.512833Z",
"shell.execute_reply": "2024-01-11T19:15:21.512121Z"
},
"id": "IGVLpzo13rcA"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a a a\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"with red\n",
"\n"
]
}
],
"source": [
"g = GenerateText()\n",
"g.model = model\n",
"g.on_epoch_end(0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MAxp4KZRKDk9"
},
"source": [
"また、`callbacks.EarlyStopping` を使用して、モデルが過学習し始めたらトレーニングを終了するようにします。"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:21.516257Z",
"iopub.status.busy": "2024-01-11T19:15:21.515844Z",
"iopub.status.idle": "2024-01-11T19:15:21.523682Z",
"shell.execute_reply": "2024-01-11T19:15:21.523076Z"
},
"id": "MjzrwGZp23xx"
},
"outputs": [],
"source": [
"callbacks = [\n",
" GenerateText(),\n",
" tf.keras.callbacks.EarlyStopping(\n",
" patience=5, restore_best_weights=True)]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZBaJhQpcG8u0"
},
"source": [
"### トレーニング"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WBXG0dCDKO55"
},
"source": [
"トレーニングを構成して実行します。"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:21.527139Z",
"iopub.status.busy": "2024-01-11T19:15:21.526754Z",
"iopub.status.idle": "2024-01-11T19:15:21.554463Z",
"shell.execute_reply": "2024-01-11T19:15:21.553850Z"
},
"id": "2OR5ZpAII__u"
},
"outputs": [],
"source": [
"model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-4),\n",
" loss=masked_loss,\n",
" metrics=[masked_acc])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ro955bQ2KR0X"
},
"source": [
"より頻繁にレポートするには、`Dataset.repeat()` メソッドを使用し、`steps_per_epoch` と `validation_steps` 引数を `Model.fit` に設定します。\n",
"\n",
"`Flickr8k` でこのようにセットアップすると、データセット全体の完全なパスは 900 以上のバッチですが、レポートエポックより下は 100 ステップとなります。"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:15:21.557944Z",
"iopub.status.busy": "2024-01-11T19:15:21.557369Z",
"iopub.status.idle": "2024-01-11T19:19:36.315537Z",
"shell.execute_reply": "2024-01-11T19:19:36.314750Z"
},
"id": "3aB0baOVMZe9"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/100\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"I0000 00:00:1705000527.710429 116283 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 16:52 - loss: 5.3591 - masked_acc: 0.1182"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 2/100 [..............................] - ETA: 11s - loss: 5.4093 - masked_acc: 0.1281 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 15s - loss: 5.3745 - masked_acc: 0.1221"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4/100 [>.............................] - ETA: 14s - loss: 5.3924 - masked_acc: 0.1241"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 16s - loss: 5.4008 - masked_acc: 0.1215"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6/100 [>.............................] - ETA: 16s - loss: 5.3610 - masked_acc: 0.1258"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 15s - loss: 5.3551 - masked_acc: 0.1315"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/100 [=>............................] - ETA: 14s - loss: 5.3301 - masked_acc: 0.1328"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 15s - loss: 5.3246 - masked_acc: 0.1303"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 14s - loss: 5.3009 - masked_acc: 0.1336"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 14s - loss: 5.2916 - masked_acc: 0.1344"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 13s - loss: 5.2632 - masked_acc: 0.1382"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 13s - loss: 5.2604 - masked_acc: 0.1391"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 13s - loss: 5.2606 - masked_acc: 0.1418"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 13s - loss: 5.2620 - masked_acc: 0.1429"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 13s - loss: 5.2466 - masked_acc: 0.1461"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 12s - loss: 5.2503 - masked_acc: 0.1469"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 12s - loss: 5.2330 - masked_acc: 0.1484"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 12s - loss: 5.2254 - masked_acc: 0.1499"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 12s - loss: 5.2294 - masked_acc: 0.1513"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 11s - loss: 5.2359 - masked_acc: 0.1521"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 11s - loss: 5.2360 - masked_acc: 0.1523"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 11s - loss: 5.2338 - masked_acc: 0.1531"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 10s - loss: 5.2237 - masked_acc: 0.1539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 10s - loss: 5.2134 - masked_acc: 0.1546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 9s - loss: 5.2103 - masked_acc: 0.1549 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 9s - loss: 5.2050 - masked_acc: 0.1559"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 9s - loss: 5.2025 - masked_acc: 0.1566"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 9s - loss: 5.1995 - masked_acc: 0.1570"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 9s - loss: 5.1995 - masked_acc: 0.1582"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 8s - loss: 5.1939 - masked_acc: 0.1589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 8s - loss: 5.1904 - masked_acc: 0.1597"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 7s - loss: 5.1827 - masked_acc: 0.1618"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 7s - loss: 5.1868 - masked_acc: 0.1623"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 7s - loss: 5.1854 - masked_acc: 0.1629"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 6s - loss: 5.1746 - masked_acc: 0.1651"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 6s - loss: 5.1712 - masked_acc: 0.1658"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 6s - loss: 5.1696 - masked_acc: 0.1668"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 6s - loss: 5.1652 - masked_acc: 0.1691"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 5s - loss: 5.1628 - masked_acc: 0.1711"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 5s - loss: 5.1573 - masked_acc: 0.1721"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 4s - loss: 5.1553 - masked_acc: 0.1736"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 4s - loss: 5.1547 - masked_acc: 0.1750"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 4s - loss: 5.1464 - masked_acc: 0.1763"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 3s - loss: 5.1384 - masked_acc: 0.1784"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 3s - loss: 5.1353 - masked_acc: 0.1796"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 3s - loss: 5.1297 - masked_acc: 0.1807"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 3s - loss: 5.1240 - masked_acc: 0.1810"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 2s - loss: 5.1184 - masked_acc: 0.1819"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 2s - loss: 5.1089 - masked_acc: 0.1831"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 2s - loss: 5.1054 - masked_acc: 0.1836"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 2s - loss: 5.1012 - masked_acc: 0.1838"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 2s - loss: 5.0922 - masked_acc: 0.1852"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 1s - loss: 5.0893 - masked_acc: 0.1857"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 1s - loss: 5.0792 - masked_acc: 0.1872"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 1s - loss: 5.0709 - masked_acc: 0.1885"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 1s - loss: 5.0668 - masked_acc: 0.1890"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 1s - loss: 5.0622 - masked_acc: 0.1897"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 1s - loss: 5.0562 - masked_acc: 0.1904"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 5.0503 - masked_acc: 0.1918"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 5.0476 - masked_acc: 0.1924"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 5.0406 - masked_acc: 0.1935"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 5.0283 - masked_acc: 0.1949"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 5.0276 - masked_acc: 0.1952"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 5.0230 - masked_acc: 0.1957"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a man in the\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a man of a small\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a white boys in mountains\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 21s 107ms/step - loss: 5.0230 - masked_acc: 0.1957 - val_loss: 4.6377 - val_masked_acc: 0.2405\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 4.8558 - masked_acc: 0.2134"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 4.8490 - masked_acc: 0.2180"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 4.7844 - masked_acc: 0.2312"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 4.7584 - masked_acc: 0.2370"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/100 [=>............................] - ETA: 3s - loss: 4.7943 - masked_acc: 0.2337"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 3s - loss: 4.7949 - masked_acc: 0.2346"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 4s - loss: 4.7758 - masked_acc: 0.2368"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 3s - loss: 4.7520 - masked_acc: 0.2424"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 3s - loss: 4.7312 - masked_acc: 0.2428"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 3s - loss: 4.7495 - masked_acc: 0.2408"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 3s - loss: 4.7548 - masked_acc: 0.2414"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 4.7511 - masked_acc: 0.2413"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 4.7612 - masked_acc: 0.2400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 4.7630 - masked_acc: 0.2410"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 3s - loss: 4.7579 - masked_acc: 0.2411"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 2s - loss: 4.7711 - masked_acc: 0.2400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 3s - loss: 4.7677 - masked_acc: 0.2405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 2s - loss: 4.7661 - masked_acc: 0.2420"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 2s - loss: 4.7538 - masked_acc: 0.2424"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 2s - loss: 4.7462 - masked_acc: 0.2427"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 2s - loss: 4.7505 - masked_acc: 0.2419"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 2s - loss: 4.7451 - masked_acc: 0.2429"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 2s - loss: 4.7367 - masked_acc: 0.2438"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 2s - loss: 4.7284 - masked_acc: 0.2439"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 2s - loss: 4.7269 - masked_acc: 0.2434"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 4.7247 - masked_acc: 0.2439"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 4.7219 - masked_acc: 0.2442"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 4.7239 - masked_acc: 0.2441"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 4.7174 - masked_acc: 0.2453"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 4.7116 - masked_acc: 0.2461"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 4.7080 - masked_acc: 0.2466"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 4.7029 - masked_acc: 0.2470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 1s - loss: 4.6955 - masked_acc: 0.2482"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 1s - loss: 4.6936 - masked_acc: 0.2486"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 1s - loss: 4.6912 - masked_acc: 0.2490"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 1s - loss: 4.6901 - masked_acc: 0.2493"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 1s - loss: 4.6896 - masked_acc: 0.2488"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 4.6907 - masked_acc: 0.2486"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 4.6854 - masked_acc: 0.2493"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 4.6798 - masked_acc: 0.2494"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 4.6751 - masked_acc: 0.2500"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 4.6714 - masked_acc: 0.2502"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 4.6673 - masked_acc: 0.2502"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 4.6611 - masked_acc: 0.2503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 4.6552 - masked_acc: 0.2512"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 4.6505 - masked_acc: 0.2512"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 4.6495 - masked_acc: 0.2510"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 4.6462 - masked_acc: 0.2517"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 4.6417 - masked_acc: 0.2523"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a white dog is in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a white and into the with a man\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a blue wooden is jumps in the ice\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 64ms/step - loss: 4.6396 - masked_acc: 0.2525 - val_loss: 4.4101 - val_masked_acc: 0.2747\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 3/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 4.3095 - masked_acc: 0.2709"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 7s - loss: 4.3342 - masked_acc: 0.2785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4/100 [>.............................] - ETA: 8s - loss: 4.3302 - masked_acc: 0.2760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6/100 [>.............................] - ETA: 6s - loss: 4.3852 - masked_acc: 0.2726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/100 [=>............................] - ETA: 5s - loss: 4.4664 - masked_acc: 0.2672"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 4s - loss: 4.4356 - masked_acc: 0.2688"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 4s - loss: 4.4187 - masked_acc: 0.2656"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 3s - loss: 4.4280 - masked_acc: 0.2664"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 3s - loss: 4.4088 - masked_acc: 0.2694"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 3s - loss: 4.4176 - masked_acc: 0.2694"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 3s - loss: 4.4284 - masked_acc: 0.2710"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 4.4291 - masked_acc: 0.2702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 4.4266 - masked_acc: 0.2701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 2s - loss: 4.4264 - masked_acc: 0.2710"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 2s - loss: 4.4203 - masked_acc: 0.2717"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 2s - loss: 4.4169 - masked_acc: 0.2719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 2s - loss: 4.4195 - masked_acc: 0.2705"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 2s - loss: 4.4086 - masked_acc: 0.2713"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 4.4149 - masked_acc: 0.2711"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 4.4071 - masked_acc: 0.2728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 4.4072 - masked_acc: 0.2730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 4.4150 - masked_acc: 0.2721"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 4.4096 - masked_acc: 0.2721"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 4.4102 - masked_acc: 0.2728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 4.4114 - masked_acc: 0.2724"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 4.4055 - masked_acc: 0.2735"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 4.4015 - masked_acc: 0.2744"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 4.4026 - masked_acc: 0.2746"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 1s - loss: 4.4021 - masked_acc: 0.2752"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 4.3939 - masked_acc: 0.2751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 4.3960 - masked_acc: 0.2751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 4.3954 - masked_acc: 0.2751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 4.3986 - masked_acc: 0.2744"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 4.3971 - masked_acc: 0.2751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 4.3994 - masked_acc: 0.2750"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 4.4008 - masked_acc: 0.2753"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 4.3955 - masked_acc: 0.2756"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 4.3945 - masked_acc: 0.2760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 4.3886 - masked_acc: 0.2762"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 4.3838 - masked_acc: 0.2764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 4.3808 - masked_acc: 0.2763"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 4.3790 - masked_acc: 0.2770"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 4.3753 - masked_acc: 0.2774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 4.3708 - masked_acc: 0.2776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red and a red and a red and a red and a red and a red and a\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a are is is is playing is running\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a girl is is the ocean\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 62ms/step - loss: 4.3703 - masked_acc: 0.2778 - val_loss: 4.1879 - val_masked_acc: 0.2814\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 4/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 4.6241 - masked_acc: 0.2345"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 4.5129 - masked_acc: 0.2627"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 5s - loss: 4.4209 - masked_acc: 0.2664"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 4s - loss: 4.3599 - masked_acc: 0.2863"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 3s - loss: 4.2913 - masked_acc: 0.2877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 3s - loss: 4.2968 - masked_acc: 0.2857"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 3s - loss: 4.2813 - masked_acc: 0.2862"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 4.2761 - masked_acc: 0.2891"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 4.2788 - masked_acc: 0.2896"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 4.2832 - masked_acc: 0.2885"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 4.2884 - masked_acc: 0.2871"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 4.2977 - masked_acc: 0.2855"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 2s - loss: 4.2958 - masked_acc: 0.2846"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 2s - loss: 4.3033 - masked_acc: 0.2865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 4.3034 - masked_acc: 0.2856"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 4.3078 - masked_acc: 0.2865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 4.3093 - masked_acc: 0.2865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 4.3074 - masked_acc: 0.2869"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 4.2917 - masked_acc: 0.2887"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 4.2873 - masked_acc: 0.2893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 4.2839 - masked_acc: 0.2897"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 4.2828 - masked_acc: 0.2899"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 4.2811 - masked_acc: 0.2896"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 4.2825 - masked_acc: 0.2891"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 4.2934 - masked_acc: 0.2879"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 4.2983 - masked_acc: 0.2877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 4.3003 - masked_acc: 0.2870"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 4.2974 - masked_acc: 0.2878"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 1s - loss: 4.2926 - masked_acc: 0.2883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 4.2900 - masked_acc: 0.2885"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 4.2830 - masked_acc: 0.2883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 4.2828 - masked_acc: 0.2887"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 4.2817 - masked_acc: 0.2891"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 4.2838 - masked_acc: 0.2892"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 4.2848 - masked_acc: 0.2890"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 4.2785 - masked_acc: 0.2896"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 4.2789 - masked_acc: 0.2896"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 4.2742 - masked_acc: 0.2899"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 4.2721 - masked_acc: 0.2903"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 4.2670 - masked_acc: 0.2908"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 4.2660 - masked_acc: 0.2912"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 4.2650 - masked_acc: 0.2917"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 4.2650 - masked_acc: 0.2917"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 4.2634 - masked_acc: 0.2922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 4.2631 - masked_acc: 0.2926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red and a red and white dog is in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a white and white and a green and white dog is running on the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a black one machine in the child is is while water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 7s 68ms/step - loss: 4.2637 - masked_acc: 0.2927 - val_loss: 4.0670 - val_masked_acc: 0.3107\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 5/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 4.1088 - masked_acc: 0.3351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 7s - loss: 4.1487 - masked_acc: 0.3136"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 5s - loss: 4.2383 - masked_acc: 0.2900"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 4s - loss: 4.1874 - masked_acc: 0.2930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 3s - loss: 4.1562 - masked_acc: 0.2977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 3s - loss: 4.1623 - masked_acc: 0.2972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 3s - loss: 4.1258 - masked_acc: 0.3010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 3s - loss: 4.1350 - masked_acc: 0.2984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 4.1183 - masked_acc: 0.3009"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 4.1174 - masked_acc: 0.3016"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 4.1600 - masked_acc: 0.2992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 4.1515 - masked_acc: 0.2994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 2s - loss: 4.1666 - masked_acc: 0.2999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 2s - loss: 4.1656 - masked_acc: 0.2999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 4.1691 - masked_acc: 0.2994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 4.1691 - masked_acc: 0.2992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 4.1743 - masked_acc: 0.2989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 4.1697 - masked_acc: 0.2990"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 4.1660 - masked_acc: 0.2993"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 4.1695 - masked_acc: 0.3005"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 4.1671 - masked_acc: 0.3006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 4.1635 - masked_acc: 0.3010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 4.1591 - masked_acc: 0.3020"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 4.1611 - masked_acc: 0.3020"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 4.1580 - masked_acc: 0.3025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 4.1584 - masked_acc: 0.3026"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 4.1672 - masked_acc: 0.3025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 4.1679 - masked_acc: 0.3029"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 4.1629 - masked_acc: 0.3030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 4.1660 - masked_acc: 0.3027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 4.1625 - masked_acc: 0.3029"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 4.1588 - masked_acc: 0.3031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 4.1591 - masked_acc: 0.3030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 4.1532 - masked_acc: 0.3040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 4.1479 - masked_acc: 0.3051"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 4.1475 - masked_acc: 0.3050"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 4.1484 - masked_acc: 0.3043"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 4.1499 - masked_acc: 0.3044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 4.1497 - masked_acc: 0.3040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 4.1468 - masked_acc: 0.3043"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 4.1450 - masked_acc: 0.3047"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 4.1463 - masked_acc: 0.3050"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is running in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man with a water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man is playing running jacket in the sits\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 4.1437 - masked_acc: 0.3057 - val_loss: 4.0103 - val_masked_acc: 0.3149\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 6/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.9826 - masked_acc: 0.3154"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 4.0292 - masked_acc: 0.3067"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 4.0212 - masked_acc: 0.3205"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 4.0411 - masked_acc: 0.3218"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 4.0138 - masked_acc: 0.3280"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.9986 - masked_acc: 0.3278"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.9973 - masked_acc: 0.3274"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.9957 - masked_acc: 0.3231"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.9800 - masked_acc: 0.3257"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.9692 - masked_acc: 0.3277"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.9839 - masked_acc: 0.3246"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 4.0082 - masked_acc: 0.3226"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 4.0238 - masked_acc: 0.3210"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 4.0216 - masked_acc: 0.3210"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 4.0182 - masked_acc: 0.3208"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 4.0183 - masked_acc: 0.3206"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 4.0179 - masked_acc: 0.3201"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 4.0200 - masked_acc: 0.3190"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 4.0158 - masked_acc: 0.3200"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 4.0147 - masked_acc: 0.3196"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 4.0173 - masked_acc: 0.3196"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 4.0261 - masked_acc: 0.3189"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 4.0274 - masked_acc: 0.3186"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 4.0323 - masked_acc: 0.3174"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 4.0360 - masked_acc: 0.3178"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 4.0314 - masked_acc: 0.3183"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 4.0350 - masked_acc: 0.3183"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 4.0342 - masked_acc: 0.3184"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 4.0310 - masked_acc: 0.3193"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 4.0295 - masked_acc: 0.3194"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 4.0249 - masked_acc: 0.3197"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 4.0210 - masked_acc: 0.3198"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 4.0173 - masked_acc: 0.3207"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 4.0184 - masked_acc: 0.3201"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 4.0171 - masked_acc: 0.3203"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 4.0134 - masked_acc: 0.3204"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 4.0115 - masked_acc: 0.3202"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 4.0104 - masked_acc: 0.3198"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 4.0129 - masked_acc: 0.3197"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 4.0132 - masked_acc: 0.3197"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 4.0124 - masked_acc: 0.3196"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is running in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man is running on a blue shirt\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a young man in its person in the water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 4.0124 - masked_acc: 0.3196 - val_loss: 3.8682 - val_masked_acc: 0.3220\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 7/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.8371 - masked_acc: 0.3644"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.9309 - masked_acc: 0.3363"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.9793 - masked_acc: 0.3284"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.9822 - masked_acc: 0.3216"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 2s - loss: 3.9588 - masked_acc: 0.3237"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.9356 - masked_acc: 0.3219"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.9444 - masked_acc: 0.3212"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 3.9233 - masked_acc: 0.3257"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.9103 - masked_acc: 0.3282"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.9163 - masked_acc: 0.3287"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.9106 - masked_acc: 0.3292"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.9469 - masked_acc: 0.3265"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.9282 - masked_acc: 0.3253"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.9363 - masked_acc: 0.3249"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.9236 - masked_acc: 0.3250"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.9059 - masked_acc: 0.3269"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.9153 - masked_acc: 0.3253"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.9153 - masked_acc: 0.3249"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.9108 - masked_acc: 0.3250"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.9161 - masked_acc: 0.3243"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.9240 - masked_acc: 0.3232"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.9237 - masked_acc: 0.3235"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.9237 - masked_acc: 0.3234"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.9269 - masked_acc: 0.3236"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.9243 - masked_acc: 0.3239"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.9272 - masked_acc: 0.3242"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.9279 - masked_acc: 0.3245"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.9251 - masked_acc: 0.3244"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.9251 - masked_acc: 0.3246"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.9266 - masked_acc: 0.3245"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.9245 - masked_acc: 0.3241"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.9245 - masked_acc: 0.3242"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.9265 - masked_acc: 0.3246"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.9255 - masked_acc: 0.3246"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.9261 - masked_acc: 0.3249"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.9301 - masked_acc: 0.3249"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.9279 - masked_acc: 0.3249"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.9294 - masked_acc: 0.3245"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.9330 - masked_acc: 0.3238"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.9348 - masked_acc: 0.3238"
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.9354 - masked_acc: 0.3244"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is running through the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a young boy is walking in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a football of people run climbing through an racquet\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.9313 - masked_acc: 0.3248 - val_loss: 3.8342 - val_masked_acc: 0.3298\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 8/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.6123 - masked_acc: 0.3603"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.7704 - masked_acc: 0.3452"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.8072 - masked_acc: 0.3456"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.8568 - masked_acc: 0.3301"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.8728 - masked_acc: 0.3296"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.8824 - masked_acc: 0.3288"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.8693 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.8877 - masked_acc: 0.3310"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.9182 - masked_acc: 0.3265"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.9148 - masked_acc: 0.3250"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.8929 - masked_acc: 0.3272"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.8839 - masked_acc: 0.3273"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.8798 - masked_acc: 0.3278"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.8687 - masked_acc: 0.3297"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.8608 - masked_acc: 0.3296"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.8712 - masked_acc: 0.3285"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.8736 - masked_acc: 0.3281"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.8675 - masked_acc: 0.3285"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.8586 - masked_acc: 0.3282"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.8571 - masked_acc: 0.3287"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.8608 - masked_acc: 0.3283"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.8583 - masked_acc: 0.3288"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.8552 - masked_acc: 0.3297"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.8560 - masked_acc: 0.3300"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.8529 - masked_acc: 0.3305"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.8445 - masked_acc: 0.3312"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.8437 - masked_acc: 0.3318"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.8439 - masked_acc: 0.3319"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.8412 - masked_acc: 0.3329"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.8465 - masked_acc: 0.3323"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.8464 - masked_acc: 0.3327"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.8465 - masked_acc: 0.3329"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.8463 - masked_acc: 0.3328"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.8454 - masked_acc: 0.3331"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.8440 - masked_acc: 0.3328"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.8440 - masked_acc: 0.3323"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.8456 - masked_acc: 0.3327"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.8491 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.8452 - masked_acc: 0.3322"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.8425 - masked_acc: 0.3320"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.8437 - masked_acc: 0.3320"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.8424 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.8437 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.8401 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.8373 - masked_acc: 0.3323"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is running in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person is jumping into a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"four blue over a shoreline to snowy construction into a pool of\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 56ms/step - loss: 3.8370 - masked_acc: 0.3322 - val_loss: 3.6488 - val_masked_acc: 0.3390\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 9/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.8781 - masked_acc: 0.3377"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.7873 - masked_acc: 0.3392"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.7738 - masked_acc: 0.3299"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.8286 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.7990 - masked_acc: 0.3353"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.8557 - masked_acc: 0.3289"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.8369 - masked_acc: 0.3311"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.8161 - masked_acc: 0.3341"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.8096 - masked_acc: 0.3351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.8039 - masked_acc: 0.3351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.8044 - masked_acc: 0.3343"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.8071 - masked_acc: 0.3353"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 3.8156 - masked_acc: 0.3329"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 3.8115 - masked_acc: 0.3342"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.8108 - masked_acc: 0.3340"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.8081 - masked_acc: 0.3345"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.8115 - masked_acc: 0.3337"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.8134 - masked_acc: 0.3330"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.8177 - masked_acc: 0.3313"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.8355 - masked_acc: 0.3297"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.8181 - masked_acc: 0.3325"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.8193 - masked_acc: 0.3321"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.8186 - masked_acc: 0.3327"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.8122 - masked_acc: 0.3339"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.8073 - masked_acc: 0.3339"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 3.8010 - masked_acc: 0.3340"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.8063 - masked_acc: 0.3336"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.8036 - masked_acc: 0.3337"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.8020 - masked_acc: 0.3342"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.8029 - masked_acc: 0.3339"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.7988 - masked_acc: 0.3339"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.8015 - masked_acc: 0.3333"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.8002 - masked_acc: 0.3330"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.8039 - masked_acc: 0.3330"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.8036 - masked_acc: 0.3327"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.8011 - masked_acc: 0.3328"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.7987 - masked_acc: 0.3330"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.7959 - masked_acc: 0.3330"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.7955 - masked_acc: 0.3333"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.7920 - masked_acc: 0.3338"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is running in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a red shirt and a phone in a pink of a blue game\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.7920 - masked_acc: 0.3338 - val_loss: 3.6070 - val_masked_acc: 0.3498\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 10/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.8262 - masked_acc: 0.3333"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.8644 - masked_acc: 0.3246"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.8437 - masked_acc: 0.3303"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.7918 - masked_acc: 0.3365"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.7834 - masked_acc: 0.3348"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.7856 - masked_acc: 0.3397"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.7661 - masked_acc: 0.3415"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.7732 - masked_acc: 0.3431"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.7736 - masked_acc: 0.3418"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.7764 - masked_acc: 0.3413"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.7727 - masked_acc: 0.3402"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.7828 - masked_acc: 0.3380"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.7818 - masked_acc: 0.3380"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.7786 - masked_acc: 0.3387"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.7910 - masked_acc: 0.3374"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.7910 - masked_acc: 0.3370"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.7982 - masked_acc: 0.3373"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.8039 - masked_acc: 0.3366"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.7938 - masked_acc: 0.3369"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.7857 - masked_acc: 0.3372"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.7869 - masked_acc: 0.3375"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.7815 - masked_acc: 0.3380"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.7795 - masked_acc: 0.3384"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.7729 - masked_acc: 0.3389"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.7702 - masked_acc: 0.3388"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.7629 - masked_acc: 0.3387"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.7619 - masked_acc: 0.3394"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.7660 - masked_acc: 0.3394"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.7603 - masked_acc: 0.3404"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.7540 - masked_acc: 0.3404"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.7581 - masked_acc: 0.3400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.7588 - masked_acc: 0.3400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.7582 - masked_acc: 0.3403"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.7543 - masked_acc: 0.3402"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.7580 - masked_acc: 0.3402"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.7558 - masked_acc: 0.3405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.7487 - masked_acc: 0.3405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.7465 - masked_acc: 0.3404"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.7443 - masked_acc: 0.3405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.7419 - masked_acc: 0.3404"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is running through the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a blue is running through a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a little girl in the water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.7437 - masked_acc: 0.3407 - val_loss: 3.6021 - val_masked_acc: 0.3429\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 11/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.6353 - masked_acc: 0.3455"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.5389 - masked_acc: 0.3655"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.5336 - masked_acc: 0.3720"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.5645 - masked_acc: 0.3649"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.6293 - masked_acc: 0.3549"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.5764 - masked_acc: 0.3617"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.6017 - masked_acc: 0.3586"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.6186 - masked_acc: 0.3537"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.6690 - masked_acc: 0.3466"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.6683 - masked_acc: 0.3459"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.6620 - masked_acc: 0.3475"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 1s - loss: 3.6522 - masked_acc: 0.3472"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.6374 - masked_acc: 0.3486"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.6410 - masked_acc: 0.3467"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.6331 - masked_acc: 0.3495"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.6644 - masked_acc: 0.3483"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.6789 - masked_acc: 0.3461"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.6724 - masked_acc: 0.3460"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.6689 - masked_acc: 0.3473"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.6712 - masked_acc: 0.3467"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.6741 - masked_acc: 0.3469"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.6781 - masked_acc: 0.3467"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.6667 - masked_acc: 0.3474"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.6595 - masked_acc: 0.3474"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.6670 - masked_acc: 0.3456"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 3.6681 - masked_acc: 0.3447"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.6641 - masked_acc: 0.3453"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.6616 - masked_acc: 0.3457"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.6603 - masked_acc: 0.3463"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.6601 - masked_acc: 0.3461"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.6601 - masked_acc: 0.3464"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.6510 - masked_acc: 0.3479"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.6523 - masked_acc: 0.3478"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.6554 - masked_acc: 0.3473"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.6534 - masked_acc: 0.3480"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.6559 - masked_acc: 0.3476"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.6576 - masked_acc: 0.3472"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.6534 - masked_acc: 0.3481"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.6537 - masked_acc: 0.3483"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.6532 - masked_acc: 0.3482"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.6516 - masked_acc: 0.3482"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.6540 - masked_acc: 0.3476"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is jumping over a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is walking in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a sits over a helmet are playing in a red chairs near a sprinkler\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 58ms/step - loss: 3.6540 - masked_acc: 0.3476 - val_loss: 3.5582 - val_masked_acc: 0.3435\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 12/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.8026 - masked_acc: 0.3548"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.6008 - masked_acc: 0.3546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.5754 - masked_acc: 0.3662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.6533 - masked_acc: 0.3546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 2s - loss: 3.6654 - masked_acc: 0.3514"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.6389 - masked_acc: 0.3528"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.6558 - masked_acc: 0.3534"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.6635 - masked_acc: 0.3521"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.6594 - masked_acc: 0.3520"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.6501 - masked_acc: 0.3511"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.6529 - masked_acc: 0.3491"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 1s - loss: 3.6496 - masked_acc: 0.3477"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.6506 - masked_acc: 0.3477"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.6448 - masked_acc: 0.3473"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.6494 - masked_acc: 0.3463"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.6458 - masked_acc: 0.3453"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.6357 - masked_acc: 0.3469"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.6202 - masked_acc: 0.3481"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.6150 - masked_acc: 0.3486"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.6128 - masked_acc: 0.3490"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.6070 - masked_acc: 0.3497"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.6129 - masked_acc: 0.3490"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.6203 - masked_acc: 0.3479"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.6222 - masked_acc: 0.3479"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.6174 - masked_acc: 0.3485"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 3.6113 - masked_acc: 0.3494"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.6096 - masked_acc: 0.3490"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.6103 - masked_acc: 0.3497"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.6068 - masked_acc: 0.3492"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.6010 - masked_acc: 0.3499"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.5963 - masked_acc: 0.3499"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.5992 - masked_acc: 0.3494"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.5989 - masked_acc: 0.3494"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.5931 - masked_acc: 0.3498"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.5872 - masked_acc: 0.3507"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.5870 - masked_acc: 0.3506"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.5873 - masked_acc: 0.3501"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.5878 - masked_acc: 0.3494"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.5867 - masked_acc: 0.3498"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.5871 - masked_acc: 0.3498"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.5842 - masked_acc: 0.3503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is riding a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man is jumping over a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a skier with a blue and orange shirt is into the water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 52ms/step - loss: 3.5862 - masked_acc: 0.3499 - val_loss: 3.5619 - val_masked_acc: 0.3502\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 13/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.4826 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.6165 - masked_acc: 0.3617"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.5445 - masked_acc: 0.3719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.5441 - masked_acc: 0.3681"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.5684 - masked_acc: 0.3629"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.5792 - masked_acc: 0.3618"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.5703 - masked_acc: 0.3595"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.5682 - masked_acc: 0.3557"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.5762 - masked_acc: 0.3556"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.5783 - masked_acc: 0.3536"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 3.5819 - masked_acc: 0.3526"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.5790 - masked_acc: 0.3523"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.5717 - masked_acc: 0.3537"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.5827 - masked_acc: 0.3546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.5674 - masked_acc: 0.3550"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.5570 - masked_acc: 0.3556"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.5528 - masked_acc: 0.3563"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.5554 - masked_acc: 0.3566"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.5600 - masked_acc: 0.3559"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.5629 - masked_acc: 0.3557"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.5738 - masked_acc: 0.3544"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.5749 - masked_acc: 0.3540"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.5807 - masked_acc: 0.3537"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.5869 - masked_acc: 0.3525"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 3.5816 - masked_acc: 0.3526"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.5829 - masked_acc: 0.3518"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.5884 - masked_acc: 0.3511"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.5855 - masked_acc: 0.3511"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.5935 - masked_acc: 0.3500"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.5922 - masked_acc: 0.3497"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.5894 - masked_acc: 0.3507"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.5878 - masked_acc: 0.3506"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.5890 - masked_acc: 0.3512"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.5854 - masked_acc: 0.3508"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.5794 - masked_acc: 0.3509"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.5760 - masked_acc: 0.3510"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.5766 - masked_acc: 0.3510"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.5791 - masked_acc: 0.3503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.5800 - masked_acc: 0.3505"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.5751 - masked_acc: 0.3505"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a boy in a red shirt is swimming in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a girl riding a up into a snowy doing a pool\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 3.5751 - masked_acc: 0.3505 - val_loss: 3.4562 - val_masked_acc: 0.3515\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 14/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.4480 - masked_acc: 0.3737"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.4368 - masked_acc: 0.3663"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.4114 - masked_acc: 0.3783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.4299 - masked_acc: 0.3734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.4304 - masked_acc: 0.3662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.4502 - masked_acc: 0.3647"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.4305 - masked_acc: 0.3665"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.4555 - masked_acc: 0.3637"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.4813 - masked_acc: 0.3622"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.4795 - masked_acc: 0.3637"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.4668 - masked_acc: 0.3639"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.4628 - masked_acc: 0.3637"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.4642 - masked_acc: 0.3624"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.4609 - masked_acc: 0.3638"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.4557 - masked_acc: 0.3640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.4681 - masked_acc: 0.3637"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.4674 - masked_acc: 0.3643"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.4595 - masked_acc: 0.3633"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.4653 - masked_acc: 0.3622"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.4644 - masked_acc: 0.3621"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.4676 - masked_acc: 0.3621"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.4698 - masked_acc: 0.3619"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.4681 - masked_acc: 0.3619"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.4767 - masked_acc: 0.3614"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.4758 - masked_acc: 0.3613"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.4721 - masked_acc: 0.3612"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.4718 - masked_acc: 0.3616"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.4710 - masked_acc: 0.3618"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.4714 - masked_acc: 0.3613"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.4664 - masked_acc: 0.3621"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.4740 - masked_acc: 0.3611"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.4741 - masked_acc: 0.3615"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.4692 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.4655 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 3.4639 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.4629 - masked_acc: 0.3622"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.4610 - masked_acc: 0.3625"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.4636 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.4632 - masked_acc: 0.3622"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is jumping into a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is in a yellow shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man surfing a on a surfboard\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 56ms/step - loss: 3.4656 - masked_acc: 0.3621 - val_loss: 3.4556 - val_masked_acc: 0.3602\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 15/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3980 - masked_acc: 0.3120"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.5950 - masked_acc: 0.3244"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.6742 - masked_acc: 0.3206"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.6551 - masked_acc: 0.3258"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.5810 - masked_acc: 0.3328"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.5636 - masked_acc: 0.3390"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.5440 - masked_acc: 0.3439"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 3.5279 - masked_acc: 0.3447"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.5168 - masked_acc: 0.3472"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.5277 - masked_acc: 0.3460"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.5180 - masked_acc: 0.3451"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 3.5125 - masked_acc: 0.3470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.5120 - masked_acc: 0.3484"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.5022 - masked_acc: 0.3503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.5064 - masked_acc: 0.3512"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.5057 - masked_acc: 0.3513"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.5052 - masked_acc: 0.3508"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.5064 - masked_acc: 0.3518"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.5113 - masked_acc: 0.3512"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.4988 - masked_acc: 0.3532"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.5015 - masked_acc: 0.3531"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.5010 - masked_acc: 0.3536"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.5146 - masked_acc: 0.3529"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.5130 - masked_acc: 0.3534"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.5157 - masked_acc: 0.3532"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.5156 - masked_acc: 0.3537"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.5151 - masked_acc: 0.3537"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.5145 - masked_acc: 0.3533"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.5180 - masked_acc: 0.3538"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.5075 - masked_acc: 0.3542"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.5037 - masked_acc: 0.3544"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.5051 - masked_acc: 0.3542"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.5036 - masked_acc: 0.3545"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.4992 - masked_acc: 0.3556"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.5002 - masked_acc: 0.3553"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.4982 - masked_acc: 0.3551"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.4932 - masked_acc: 0.3557"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.4950 - masked_acc: 0.3560"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.4924 - masked_acc: 0.3559"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 3.4948 - masked_acc: 0.3556"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.5000 - masked_acc: 0.3555"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.4968 - masked_acc: 0.3559"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.4968 - masked_acc: 0.3561"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.4979 - masked_acc: 0.3558"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.5012 - masked_acc: 0.3557"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a blue shirt is jumping into a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a range wearing a dog is dressed around a boy that is flying event on shallow water whilst to a house covered in on a green water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 7s 66ms/step - loss: 3.5006 - masked_acc: 0.3558 - val_loss: 3.3840 - val_masked_acc: 0.3604\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 16/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.5666 - masked_acc: 0.3197"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.5419 - masked_acc: 0.3340"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.5425 - masked_acc: 0.3424"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.5449 - masked_acc: 0.3478"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.4952 - masked_acc: 0.3516"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.5205 - masked_acc: 0.3536"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.5165 - masked_acc: 0.3539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 3.5102 - masked_acc: 0.3564"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.5110 - masked_acc: 0.3574"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.4946 - masked_acc: 0.3605"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.4806 - masked_acc: 0.3612"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.4767 - masked_acc: 0.3624"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.4639 - masked_acc: 0.3617"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.4714 - masked_acc: 0.3604"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.4892 - masked_acc: 0.3583"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.4917 - masked_acc: 0.3569"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.4971 - masked_acc: 0.3550"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.5085 - masked_acc: 0.3527"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.5091 - masked_acc: 0.3527"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.4992 - masked_acc: 0.3535"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.5021 - masked_acc: 0.3530"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.4977 - masked_acc: 0.3538"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.4951 - masked_acc: 0.3541"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.4855 - masked_acc: 0.3551"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.4869 - masked_acc: 0.3554"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.4909 - masked_acc: 0.3554"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.4972 - masked_acc: 0.3546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.5008 - masked_acc: 0.3540"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.5025 - masked_acc: 0.3535"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.5073 - masked_acc: 0.3528"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.5123 - masked_acc: 0.3522"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.5075 - masked_acc: 0.3520"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.5080 - masked_acc: 0.3520"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.5077 - masked_acc: 0.3521"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.5035 - masked_acc: 0.3528"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.5037 - masked_acc: 0.3529"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.4993 - masked_acc: 0.3532"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.4920 - masked_acc: 0.3539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.4924 - masked_acc: 0.3540"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.4856 - masked_acc: 0.3542"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is in a water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a girl looks is sliding on a slope with front of the river\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 58ms/step - loss: 3.4815 - masked_acc: 0.3543 - val_loss: 3.3792 - val_masked_acc: 0.3605\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 17/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.4966 - masked_acc: 0.3415"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.4434 - masked_acc: 0.3403"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.5411 - masked_acc: 0.3353"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.5247 - masked_acc: 0.3518"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.5026 - masked_acc: 0.3553"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.4479 - masked_acc: 0.3609"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.4405 - masked_acc: 0.3631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.4305 - masked_acc: 0.3638"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.4299 - masked_acc: 0.3640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.4327 - masked_acc: 0.3615"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.4350 - masked_acc: 0.3601"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.4423 - masked_acc: 0.3589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 3.4483 - masked_acc: 0.3587"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.4552 - masked_acc: 0.3587"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.4519 - masked_acc: 0.3598"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.4445 - masked_acc: 0.3598"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.4502 - masked_acc: 0.3589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.4470 - masked_acc: 0.3592"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.4442 - masked_acc: 0.3595"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.4445 - masked_acc: 0.3600"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.4368 - masked_acc: 0.3611"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.4379 - masked_acc: 0.3606"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.4330 - masked_acc: 0.3618"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.4253 - masked_acc: 0.3627"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.4263 - masked_acc: 0.3630"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.4274 - masked_acc: 0.3626"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.4255 - masked_acc: 0.3625"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.4258 - masked_acc: 0.3627"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.4305 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.4312 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.4340 - masked_acc: 0.3614"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.4371 - masked_acc: 0.3611"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.4369 - masked_acc: 0.3613"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.4394 - masked_acc: 0.3616"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.4424 - masked_acc: 0.3613"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.4401 - masked_acc: 0.3614"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.4412 - masked_acc: 0.3611"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.4464 - masked_acc: 0.3609"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.4420 - masked_acc: 0.3620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.4397 - masked_acc: 0.3631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.4383 - masked_acc: 0.3633"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a girl is in a blue wetsuit is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"two people riding on a baby sits very floating in the snow\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 3.4393 - masked_acc: 0.3631 - val_loss: 3.3682 - val_masked_acc: 0.3591\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 18/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3714 - masked_acc: 0.3654"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.3255 - masked_acc: 0.3716"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.4891 - masked_acc: 0.3570"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.4166 - masked_acc: 0.3689"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 2s - loss: 3.4300 - masked_acc: 0.3686"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.4262 - masked_acc: 0.3686"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.4111 - masked_acc: 0.3719"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.3937 - masked_acc: 0.3727"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.4037 - masked_acc: 0.3700"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.3889 - masked_acc: 0.3714"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 1s - loss: 3.3966 - masked_acc: 0.3700"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.3992 - masked_acc: 0.3697"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.4107 - masked_acc: 0.3687"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 3.4051 - masked_acc: 0.3683"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.3965 - masked_acc: 0.3690"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.4011 - masked_acc: 0.3685"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.3970 - masked_acc: 0.3695"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.4095 - masked_acc: 0.3674"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.4134 - masked_acc: 0.3666"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.4192 - masked_acc: 0.3666"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.4163 - masked_acc: 0.3667"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.4089 - masked_acc: 0.3669"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.4092 - masked_acc: 0.3665"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.4043 - masked_acc: 0.3666"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.4056 - masked_acc: 0.3666"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.4089 - masked_acc: 0.3656"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.4114 - masked_acc: 0.3656"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.4155 - masked_acc: 0.3649"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.4168 - masked_acc: 0.3643"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.4206 - masked_acc: 0.3640"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.4179 - masked_acc: 0.3647"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.4183 - masked_acc: 0.3648"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.4227 - masked_acc: 0.3645"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.4230 - masked_acc: 0.3638"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.4240 - masked_acc: 0.3633"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 3.4246 - masked_acc: 0.3635"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.4316 - masked_acc: 0.3632"
]
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.4301 - masked_acc: 0.3630"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.4307 - masked_acc: 0.3631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.4332 - masked_acc: 0.3625"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person wearing a red shirt is in a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a football player on the pool in a blue shirt swims\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.4338 - masked_acc: 0.3628 - val_loss: 3.2944 - val_masked_acc: 0.3570\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 19/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.2177 - masked_acc: 0.3668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.3271 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.2891 - masked_acc: 0.3849"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.3379 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.3698 - masked_acc: 0.3753"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.3848 - masked_acc: 0.3754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.3490 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.3499 - masked_acc: 0.3760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.3387 - masked_acc: 0.3757"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.3595 - masked_acc: 0.3733"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.3570 - masked_acc: 0.3737"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 1s - loss: 3.3536 - masked_acc: 0.3733"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.3546 - masked_acc: 0.3748"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.3458 - masked_acc: 0.3743"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.3600 - masked_acc: 0.3718"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.3623 - masked_acc: 0.3725"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.3486 - masked_acc: 0.3734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.3479 - masked_acc: 0.3734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.3651 - masked_acc: 0.3716"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.3627 - masked_acc: 0.3708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.3603 - masked_acc: 0.3715"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.3697 - masked_acc: 0.3713"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.3795 - masked_acc: 0.3702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.3778 - masked_acc: 0.3697"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.3782 - masked_acc: 0.3695"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.3858 - masked_acc: 0.3688"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.3875 - masked_acc: 0.3683"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.3902 - masked_acc: 0.3684"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.3883 - masked_acc: 0.3683"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.3886 - masked_acc: 0.3681"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.3901 - masked_acc: 0.3677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.3892 - masked_acc: 0.3681"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.3939 - masked_acc: 0.3673"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.3907 - masked_acc: 0.3676"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.3884 - masked_acc: 0.3676"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.3884 - masked_acc: 0.3674"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.3891 - masked_acc: 0.3667"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.3859 - masked_acc: 0.3666"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.3806 - masked_acc: 0.3668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.3834 - masked_acc: 0.3663"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.3818 - masked_acc: 0.3663"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.3800 - masked_acc: 0.3666"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.3797 - masked_acc: 0.3665"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.3773 - masked_acc: 0.3665"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer in a red and yellow shirt is running on a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a young surfer rides a lake\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 3.3794 - masked_acc: 0.3663 - val_loss: 3.3017 - val_masked_acc: 0.3632\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 20/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3281 - masked_acc: 0.3886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.3026 - masked_acc: 0.3775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.2552 - masked_acc: 0.3860"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.2501 - masked_acc: 0.3847"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.2542 - masked_acc: 0.3855"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2490 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.2423 - masked_acc: 0.3825"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.2320 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.2206 - masked_acc: 0.3866"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.2405 - masked_acc: 0.3855"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.2657 - masked_acc: 0.3806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.2732 - masked_acc: 0.3780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.2633 - masked_acc: 0.3802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.2721 - masked_acc: 0.3786"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.2705 - masked_acc: 0.3778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.2556 - masked_acc: 0.3781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.2655 - masked_acc: 0.3764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.2786 - masked_acc: 0.3751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.2944 - masked_acc: 0.3731"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.2899 - masked_acc: 0.3730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.2941 - masked_acc: 0.3715"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.2978 - masked_acc: 0.3704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.3027 - masked_acc: 0.3696"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.3099 - masked_acc: 0.3683"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 3.3100 - masked_acc: 0.3677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.3128 - masked_acc: 0.3679"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.3221 - masked_acc: 0.3670"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.3213 - masked_acc: 0.3668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.3201 - masked_acc: 0.3666"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.3295 - masked_acc: 0.3662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.3314 - masked_acc: 0.3663"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.3282 - masked_acc: 0.3669"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.3221 - masked_acc: 0.3674"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.3197 - masked_acc: 0.3676"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.3153 - masked_acc: 0.3679"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.3120 - masked_acc: 0.3688"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.3112 - masked_acc: 0.3687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.3057 - masked_acc: 0.3693"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.3030 - masked_acc: 0.3701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.3036 - masked_acc: 0.3701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.3034 - masked_acc: 0.3702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in the water is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"the skier is playing a jump\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 51ms/step - loss: 3.3034 - masked_acc: 0.3702 - val_loss: 3.2649 - val_masked_acc: 0.3601\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 21/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.2324 - masked_acc: 0.3730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.1892 - masked_acc: 0.3941"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.2492 - masked_acc: 0.3801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.2073 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.2583 - masked_acc: 0.3783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2575 - masked_acc: 0.3779"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.2832 - masked_acc: 0.3750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.3041 - masked_acc: 0.3756"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.3022 - masked_acc: 0.3782"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.3229 - masked_acc: 0.3733"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 3.3149 - masked_acc: 0.3743"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 2s - loss: 3.3037 - masked_acc: 0.3738"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 2s - loss: 3.3116 - masked_acc: 0.3755"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.3070 - masked_acc: 0.3758"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.3065 - masked_acc: 0.3758"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.3038 - masked_acc: 0.3769"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.3017 - masked_acc: 0.3771"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.3000 - masked_acc: 0.3771"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.2934 - masked_acc: 0.3783"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.2947 - masked_acc: 0.3776"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.3009 - masked_acc: 0.3774"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.3000 - masked_acc: 0.3780"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.2918 - masked_acc: 0.3798"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.2962 - masked_acc: 0.3787"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.2881 - masked_acc: 0.3789"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.2826 - masked_acc: 0.3795"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 3.2844 - masked_acc: 0.3782"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.2828 - masked_acc: 0.3790"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.2823 - masked_acc: 0.3787"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.2837 - masked_acc: 0.3784"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.2818 - masked_acc: 0.3783"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.2776 - masked_acc: 0.3787"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.2810 - masked_acc: 0.3784"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.2807 - masked_acc: 0.3784"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.2842 - masked_acc: 0.3783"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.2795 - masked_acc: 0.3787"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.2826 - masked_acc: 0.3780"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.2824 - masked_acc: 0.3779"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.2885 - masked_acc: 0.3770"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.2881 - masked_acc: 0.3768"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.2833 - masked_acc: 0.3772"
]
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.2830 - masked_acc: 0.3773"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.2824 - masked_acc: 0.3773"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.2798 - masked_acc: 0.3774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.2813 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer into a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a red pool in a water stunt outside\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 51ms/step - loss: 3.2813 - masked_acc: 0.3768 - val_loss: 3.2765 - val_masked_acc: 0.3722\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 22/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3002 - masked_acc: 0.3712"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.2927 - masked_acc: 0.3818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.1645 - masked_acc: 0.3868"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1869 - masked_acc: 0.3774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.2533 - masked_acc: 0.3728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2191 - masked_acc: 0.3757"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.2208 - masked_acc: 0.3748"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.2200 - masked_acc: 0.3765"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.2249 - masked_acc: 0.3758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.2682 - masked_acc: 0.3721"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.2664 - masked_acc: 0.3727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.2566 - masked_acc: 0.3747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.2571 - masked_acc: 0.3739"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 3.2549 - masked_acc: 0.3729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.2570 - masked_acc: 0.3735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.2635 - masked_acc: 0.3732"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.2582 - masked_acc: 0.3745"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.2673 - masked_acc: 0.3741"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.2627 - masked_acc: 0.3747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.2652 - masked_acc: 0.3751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.2603 - masked_acc: 0.3765"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.2559 - masked_acc: 0.3767"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.2561 - masked_acc: 0.3765"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.2522 - masked_acc: 0.3765"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.2449 - masked_acc: 0.3775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 3.2423 - masked_acc: 0.3775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.2417 - masked_acc: 0.3775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.2344 - masked_acc: 0.3784"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.2454 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.2479 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.2499 - masked_acc: 0.3759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.2477 - masked_acc: 0.3760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.2396 - masked_acc: 0.3766"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.2439 - masked_acc: 0.3758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.2504 - masked_acc: 0.3754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.2527 - masked_acc: 0.3755"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.2568 - masked_acc: 0.3750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.2542 - masked_acc: 0.3752"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.2520 - masked_acc: 0.3756"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.2502 - masked_acc: 0.3760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.2487 - masked_acc: 0.3759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is in a surfboard in a blue pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a child wearing a red jacket is flies up a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.2487 - masked_acc: 0.3759 - val_loss: 3.2264 - val_masked_acc: 0.3764\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 23/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.2844 - masked_acc: 0.3947"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.1989 - masked_acc: 0.3962"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.2149 - masked_acc: 0.3935"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1993 - masked_acc: 0.3925"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.2485 - masked_acc: 0.3851"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2573 - masked_acc: 0.3821"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.2565 - masked_acc: 0.3795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.2477 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.2636 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.2734 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.2769 - masked_acc: 0.3787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.2717 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 3.2683 - masked_acc: 0.3808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 3.2493 - masked_acc: 0.3809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.2564 - masked_acc: 0.3795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.2482 - masked_acc: 0.3788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.2451 - masked_acc: 0.3781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.2475 - masked_acc: 0.3789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.2505 - masked_acc: 0.3785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.2574 - masked_acc: 0.3780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.2611 - masked_acc: 0.3776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.2568 - masked_acc: 0.3787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.2547 - masked_acc: 0.3799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.2493 - masked_acc: 0.3811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.2560 - masked_acc: 0.3808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.2634 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.2670 - masked_acc: 0.3784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.2647 - masked_acc: 0.3785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.2637 - masked_acc: 0.3789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.2683 - masked_acc: 0.3778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.2712 - masked_acc: 0.3774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.2682 - masked_acc: 0.3777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.2619 - masked_acc: 0.3780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.2655 - masked_acc: 0.3777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.2617 - masked_acc: 0.3778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.2584 - masked_acc: 0.3776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.2596 - masked_acc: 0.3772"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.2614 - masked_acc: 0.3770"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.2571 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.2543 - masked_acc: 0.3771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.2570 - masked_acc: 0.3767"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.2579 - masked_acc: 0.3764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.2551 - masked_acc: 0.3766"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a boy in a red shirt is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a boat in shallow swimming pool on a wide\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 52ms/step - loss: 3.2565 - masked_acc: 0.3763 - val_loss: 3.2283 - val_masked_acc: 0.3718\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 24/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1771 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.2544 - masked_acc: 0.3820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.1756 - masked_acc: 0.3880"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1561 - masked_acc: 0.3848"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.1465 - masked_acc: 0.3839"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.1439 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.1560 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.1521 - masked_acc: 0.3858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 3.1800 - masked_acc: 0.3838"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.1599 - masked_acc: 0.3858"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.1709 - masked_acc: 0.3846"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.1701 - masked_acc: 0.3835"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 3.1653 - masked_acc: 0.3824"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.1846 - masked_acc: 0.3797"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.1876 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.1842 - masked_acc: 0.3803"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.1793 - masked_acc: 0.3805"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.1848 - masked_acc: 0.3796"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.1808 - masked_acc: 0.3794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.1786 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.1876 - masked_acc: 0.3784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.1888 - masked_acc: 0.3781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.1908 - masked_acc: 0.3782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.1981 - masked_acc: 0.3775"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.1983 - masked_acc: 0.3774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.1939 - masked_acc: 0.3779"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.1935 - masked_acc: 0.3784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.1945 - masked_acc: 0.3780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.1891 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.1907 - masked_acc: 0.3794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.1864 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.1863 - masked_acc: 0.3796"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.1812 - masked_acc: 0.3806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.1811 - masked_acc: 0.3805"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.1823 - masked_acc: 0.3805"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.1840 - masked_acc: 0.3805"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.1846 - masked_acc: 0.3813"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.1868 - masked_acc: 0.3814"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.1936 - masked_acc: 0.3808"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.1904 - masked_acc: 0.3814"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.1870 - masked_acc: 0.3821"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.1890 - masked_acc: 0.3819"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"the man is surfing a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"three hugging kids arm in the bird\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 50ms/step - loss: 3.1900 - masked_acc: 0.3816 - val_loss: 3.2111 - val_masked_acc: 0.3711\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 25/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1631 - masked_acc: 0.4308"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.2860 - masked_acc: 0.3928"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.2031 - masked_acc: 0.3926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.2018 - masked_acc: 0.3921"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.2078 - masked_acc: 0.3893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2129 - masked_acc: 0.3891"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.2524 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.2355 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.2206 - masked_acc: 0.3821"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.2183 - masked_acc: 0.3806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.2163 - masked_acc: 0.3823"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.2258 - masked_acc: 0.3817"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 3.2353 - masked_acc: 0.3805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.2434 - masked_acc: 0.3788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.2244 - masked_acc: 0.3816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.2246 - masked_acc: 0.3817"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.2191 - masked_acc: 0.3818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.2172 - masked_acc: 0.3812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.2116 - masked_acc: 0.3828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.2181 - masked_acc: 0.3820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.2127 - masked_acc: 0.3821"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.2208 - masked_acc: 0.3820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.2157 - masked_acc: 0.3828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.2176 - masked_acc: 0.3824"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.2086 - masked_acc: 0.3843"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.2207 - masked_acc: 0.3818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.2123 - masked_acc: 0.3817"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 3.2126 - masked_acc: 0.3816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.2030 - masked_acc: 0.3828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.2010 - masked_acc: 0.3827"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.1999 - masked_acc: 0.3825"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.2051 - masked_acc: 0.3820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.2064 - masked_acc: 0.3816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.2096 - masked_acc: 0.3813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.2113 - masked_acc: 0.3812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.2111 - masked_acc: 0.3813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.2114 - masked_acc: 0.3809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.2128 - masked_acc: 0.3804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 3.2117 - masked_acc: 0.3805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.2079 - masked_acc: 0.3802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.2066 - masked_acc: 0.3801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.2052 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.2031 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red jacket is in the air in the water\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a kid in a red helmet hanging the water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 3.2031 - masked_acc: 0.3800 - val_loss: 3.2490 - val_masked_acc: 0.3742\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 26/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3559 - masked_acc: 0.3487"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.3331 - masked_acc: 0.3699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.1851 - masked_acc: 0.3788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1806 - masked_acc: 0.3799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 3s - loss: 3.1779 - masked_acc: 0.3840"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 3s - loss: 3.1695 - masked_acc: 0.3865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 3s - loss: 3.1565 - masked_acc: 0.3864"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 3.1562 - masked_acc: 0.3850"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 3.1344 - masked_acc: 0.3868"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.1653 - masked_acc: 0.3834"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.1692 - masked_acc: 0.3823"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 3.1669 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 2s - loss: 3.1723 - masked_acc: 0.3783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 2s - loss: 3.1839 - masked_acc: 0.3777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.1826 - masked_acc: 0.3771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.1769 - masked_acc: 0.3784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.1666 - masked_acc: 0.3804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.1523 - masked_acc: 0.3818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.1435 - masked_acc: 0.3828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.1538 - masked_acc: 0.3806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.1544 - masked_acc: 0.3808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.1591 - masked_acc: 0.3806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.1596 - masked_acc: 0.3808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.1641 - masked_acc: 0.3800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.1638 - masked_acc: 0.3793"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.1626 - masked_acc: 0.3803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.1621 - masked_acc: 0.3803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.1611 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.1624 - masked_acc: 0.3816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.1601 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.1650 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.1626 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.1653 - masked_acc: 0.3811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.1697 - masked_acc: 0.3803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.1646 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.1662 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.1623 - masked_acc: 0.3819"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.1627 - masked_acc: 0.3818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.1618 - masked_acc: 0.3816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.1613 - masked_acc: 0.3817"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.1655 - masked_acc: 0.3815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in an orange jacket is swimming pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person sitting on a ropes beside a red jackets flips in the from the toilet ocean\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 58ms/step - loss: 3.1655 - masked_acc: 0.3815 - val_loss: 3.1300 - val_masked_acc: 0.3734\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 27/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.5116 - masked_acc: 0.3514"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.2893 - masked_acc: 0.3734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.2981 - masked_acc: 0.3729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.2991 - masked_acc: 0.3686"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.3271 - masked_acc: 0.3712"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.2822 - masked_acc: 0.3736"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.2597 - masked_acc: 0.3785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.2292 - masked_acc: 0.3803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.2075 - masked_acc: 0.3805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.1953 - masked_acc: 0.3815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.1936 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 3.1869 - masked_acc: 0.3798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.1770 - masked_acc: 0.3810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.1709 - masked_acc: 0.3817"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.1766 - masked_acc: 0.3809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.1761 - masked_acc: 0.3804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.1794 - masked_acc: 0.3798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.1765 - masked_acc: 0.3798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.1836 - masked_acc: 0.3792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.1921 - masked_acc: 0.3788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.1976 - masked_acc: 0.3773"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.2057 - masked_acc: 0.3754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.2071 - masked_acc: 0.3754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.2084 - masked_acc: 0.3767"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.2098 - masked_acc: 0.3762"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.2040 - masked_acc: 0.3769"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.2015 - masked_acc: 0.3766"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 3.2004 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.1966 - masked_acc: 0.3771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.1967 - masked_acc: 0.3774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.2000 - masked_acc: 0.3771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.1982 - masked_acc: 0.3775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.1976 - masked_acc: 0.3777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.2016 - masked_acc: 0.3781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.2029 - masked_acc: 0.3782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.2023 - masked_acc: 0.3782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.2008 - masked_acc: 0.3784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.2015 - masked_acc: 0.3785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.1966 - masked_acc: 0.3791"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.1930 - masked_acc: 0.3794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is swimming in the ocean\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a kid sitting on a surfboard seen in the water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 52ms/step - loss: 3.1933 - masked_acc: 0.3796 - val_loss: 3.1306 - val_masked_acc: 0.3821\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 28/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.0122 - masked_acc: 0.3910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.0944 - masked_acc: 0.3767"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.1063 - masked_acc: 0.3708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1670 - masked_acc: 0.3631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.1526 - masked_acc: 0.3726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.1741 - masked_acc: 0.3716"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.2074 - masked_acc: 0.3673"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.1916 - masked_acc: 0.3705"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.1768 - masked_acc: 0.3742"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.1501 - masked_acc: 0.3777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.1428 - masked_acc: 0.3783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 3.1354 - masked_acc: 0.3803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 2s - loss: 3.1279 - masked_acc: 0.3811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 2s - loss: 3.1278 - masked_acc: 0.3827"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 2s - loss: 3.1495 - masked_acc: 0.3822"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.1454 - masked_acc: 0.3834"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.1428 - masked_acc: 0.3835"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.1465 - masked_acc: 0.3846"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.1426 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.1462 - masked_acc: 0.3862"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.1459 - masked_acc: 0.3865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.1478 - masked_acc: 0.3859"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.1491 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.1517 - masked_acc: 0.3861"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.1560 - masked_acc: 0.3854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.1561 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.1610 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 3.1627 - masked_acc: 0.3856"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.1545 - masked_acc: 0.3865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.1536 - masked_acc: 0.3867"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.1521 - masked_acc: 0.3870"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 3.1474 - masked_acc: 0.3879"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.1535 - masked_acc: 0.3877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.1528 - masked_acc: 0.3879"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.1463 - masked_acc: 0.3892"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.1439 - masked_acc: 0.3896"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.1395 - masked_acc: 0.3895"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.1387 - masked_acc: 0.3894"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.1394 - masked_acc: 0.3893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.1402 - masked_acc: 0.3893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 3.1426 - masked_acc: 0.3890"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.1424 - masked_acc: 0.3890"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.1420 - masked_acc: 0.3889"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is swimming in the ocean\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is riding on a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a wave gets feet as the air into a holds a helmet\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 6s 58ms/step - loss: 3.1420 - masked_acc: 0.3889 - val_loss: 3.0921 - val_masked_acc: 0.3799\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 29/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1112 - masked_acc: 0.3814"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.1688 - masked_acc: 0.3750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.2002 - masked_acc: 0.3675"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.1547 - masked_acc: 0.3768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.1521 - masked_acc: 0.3702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.1510 - masked_acc: 0.3687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.1330 - masked_acc: 0.3713"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.1421 - masked_acc: 0.3716"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.1431 - masked_acc: 0.3710"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.1592 - masked_acc: 0.3720"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.1699 - masked_acc: 0.3719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 2s - loss: 3.1585 - masked_acc: 0.3751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 2s - loss: 3.1310 - masked_acc: 0.3770"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.1304 - masked_acc: 0.3783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 3.1246 - masked_acc: 0.3782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.1255 - masked_acc: 0.3778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.1182 - masked_acc: 0.3797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.1196 - masked_acc: 0.3790"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.1148 - masked_acc: 0.3807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.1038 - masked_acc: 0.3832"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.1079 - masked_acc: 0.3837"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.1086 - masked_acc: 0.3836"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.1006 - masked_acc: 0.3841"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.0982 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 3.0973 - masked_acc: 0.3856"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.0988 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.0952 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.0968 - masked_acc: 0.3861"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.0980 - masked_acc: 0.3861"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.0984 - masked_acc: 0.3854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.0975 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.0971 - masked_acc: 0.3854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.0953 - masked_acc: 0.3855"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.0917 - masked_acc: 0.3862"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.0926 - masked_acc: 0.3858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 3.0940 - masked_acc: 0.3854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.0953 - masked_acc: 0.3859"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.0962 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.0978 - masked_acc: 0.3852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.0942 - masked_acc: 0.3857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a blue wetsuit is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man and a woman in a wetsuit is in a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"two young kids riding an board in the green corn\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 3.0955 - masked_acc: 0.3860 - val_loss: 3.1233 - val_masked_acc: 0.3746\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 30/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1080 - masked_acc: 0.3629"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.0745 - masked_acc: 0.3886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.0963 - masked_acc: 0.3860"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.0127 - masked_acc: 0.4003"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0570 - masked_acc: 0.3966"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.0666 - masked_acc: 0.3925"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.0943 - masked_acc: 0.3885"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0906 - masked_acc: 0.3908"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.0951 - masked_acc: 0.3921"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.0821 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.0721 - masked_acc: 0.3950"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 3.0602 - masked_acc: 0.3966"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 2s - loss: 3.0690 - masked_acc: 0.3927"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.0707 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 3.0894 - masked_acc: 0.3907"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.0808 - masked_acc: 0.3917"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.0768 - masked_acc: 0.3907"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.0785 - masked_acc: 0.3910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.0801 - masked_acc: 0.3910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 3.0846 - masked_acc: 0.3910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.0944 - masked_acc: 0.3904"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.0930 - masked_acc: 0.3910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.0894 - masked_acc: 0.3915"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.0923 - masked_acc: 0.3919"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.0917 - masked_acc: 0.3918"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.0923 - masked_acc: 0.3920"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.0947 - masked_acc: 0.3914"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.0937 - masked_acc: 0.3916"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 3.0910 - masked_acc: 0.3918"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.0887 - masked_acc: 0.3922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 3.0871 - masked_acc: 0.3922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.0837 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.0771 - masked_acc: 0.3941"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.0731 - masked_acc: 0.3940"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.0782 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.0787 - masked_acc: 0.3931"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.0780 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 3.0753 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.0734 - masked_acc: 0.3935"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.0763 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"four people are riding a wave on a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.0724 - masked_acc: 0.3936 - val_loss: 3.1127 - val_masked_acc: 0.3823\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 31/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.3936 - masked_acc: 0.3708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.1191 - masked_acc: 0.3858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.0599 - masked_acc: 0.3885"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.0764 - masked_acc: 0.3903"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0489 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.0625 - masked_acc: 0.3926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.0336 - masked_acc: 0.3970"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0420 - masked_acc: 0.3950"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.0417 - masked_acc: 0.3945"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.0632 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.0654 - masked_acc: 0.3919"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.0453 - masked_acc: 0.3951"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.0356 - masked_acc: 0.3971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.0252 - masked_acc: 0.3989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.0500 - masked_acc: 0.3968"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 3.0573 - masked_acc: 0.3951"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.0588 - masked_acc: 0.3931"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 3.0546 - masked_acc: 0.3948"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.0510 - masked_acc: 0.3949"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.0469 - masked_acc: 0.3953"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 3.0448 - masked_acc: 0.3953"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.0509 - masked_acc: 0.3938"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.0428 - masked_acc: 0.3940"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.0396 - masked_acc: 0.3947"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 3.0446 - masked_acc: 0.3937"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.0448 - masked_acc: 0.3939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 3.0435 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.0394 - masked_acc: 0.3939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.0411 - masked_acc: 0.3938"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.0423 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 3.0392 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.0436 - masked_acc: 0.3922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.0422 - masked_acc: 0.3926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 3.0419 - masked_acc: 0.3922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.0387 - masked_acc: 0.3933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 3.0395 - masked_acc: 0.3926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.0353 - masked_acc: 0.3929"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.0364 - masked_acc: 0.3927"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.0369 - masked_acc: 0.3926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is surfing a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a red shirt and blue wetsuit is jumping in a pool\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man races across a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 3.0363 - masked_acc: 0.3925 - val_loss: 3.0790 - val_masked_acc: 0.3811\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 32/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.2825 - masked_acc: 0.3590"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 3.0205 - masked_acc: 0.3854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.0305 - masked_acc: 0.3931"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.0473 - masked_acc: 0.3965"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0532 - masked_acc: 0.3997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.0302 - masked_acc: 0.3983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.0522 - masked_acc: 0.3954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0297 - masked_acc: 0.3972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.0210 - masked_acc: 0.3965"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.0401 - masked_acc: 0.3942"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.0298 - masked_acc: 0.3969"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 1s - loss: 3.0416 - masked_acc: 0.3961"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 3.0350 - masked_acc: 0.3972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.0448 - masked_acc: 0.3963"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.0383 - masked_acc: 0.3985"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.0278 - masked_acc: 0.3977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.0252 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.0321 - masked_acc: 0.3958"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.0280 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 3.0245 - masked_acc: 0.3958"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 3.0216 - masked_acc: 0.3962"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.0314 - masked_acc: 0.3946"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.0287 - masked_acc: 0.3957"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 3.0440 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 3.0440 - masked_acc: 0.3941"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 3.0386 - masked_acc: 0.3952"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.0373 - masked_acc: 0.3952"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.0399 - masked_acc: 0.3951"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 3.0449 - masked_acc: 0.3939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.0424 - masked_acc: 0.3951"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 3.0377 - masked_acc: 0.3952"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.0389 - masked_acc: 0.3948"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.0417 - masked_acc: 0.3947"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.0400 - masked_acc: 0.3950"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.0391 - masked_acc: 0.3953"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 3.0425 - masked_acc: 0.3944"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.0427 - masked_acc: 0.3940"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.0412 - masked_acc: 0.3939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.0462 - masked_acc: 0.3937"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 3.0506 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 3.0516 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a girl in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer rides a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 48ms/step - loss: 3.0513 - masked_acc: 0.3931 - val_loss: 3.0271 - val_masked_acc: 0.3877\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 33/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 2s - loss: 3.0874 - masked_acc: 0.4044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.0231 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.0668 - masked_acc: 0.3902"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.0305 - masked_acc: 0.3902"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0481 - masked_acc: 0.3886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 3.0744 - masked_acc: 0.3875"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 3.0379 - masked_acc: 0.3943"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0347 - masked_acc: 0.3949"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.0219 - masked_acc: 0.4000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.0348 - masked_acc: 0.3992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.0337 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 3.0337 - masked_acc: 0.3981"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 3.0330 - masked_acc: 0.3977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 3.0295 - masked_acc: 0.3965"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.0127 - masked_acc: 0.3976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.0027 - masked_acc: 0.3983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.0105 - masked_acc: 0.3985"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 3.0071 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 3.0101 - masked_acc: 0.3965"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.0192 - masked_acc: 0.3960"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.0102 - masked_acc: 0.3975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 3.0147 - masked_acc: 0.3973"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 3.0129 - masked_acc: 0.3982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 3.0134 - masked_acc: 0.3980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.0061 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.0026 - masked_acc: 0.3989"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.0022 - masked_acc: 0.3987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 1s - loss: 3.0035 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.0035 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.0084 - masked_acc: 0.3975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.0055 - masked_acc: 0.3979"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.0076 - masked_acc: 0.3979"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 3.0103 - masked_acc: 0.3979"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.0047 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 3.0084 - masked_acc: 0.3981"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 3.0094 - masked_acc: 0.3976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 3.0085 - masked_acc: 0.3983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.0076 - masked_acc: 0.3980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.0097 - masked_acc: 0.3976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.0081 - masked_acc: 0.3980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.0024 - masked_acc: 0.3989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.0022 - masked_acc: 0.3989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 3.0012 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 3.0034 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 3.0068 - masked_acc: 0.3980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a yellow shirt is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"an surfer pushes a yellow water water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 52ms/step - loss: 3.0068 - masked_acc: 0.3980 - val_loss: 3.0623 - val_masked_acc: 0.3836\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 34/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.0939 - masked_acc: 0.3938"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.1155 - masked_acc: 0.3851"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 3.0950 - masked_acc: 0.3899"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 3s - loss: 3.0392 - masked_acc: 0.3997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0118 - masked_acc: 0.4043"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 3.0194 - masked_acc: 0.4027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 3.0321 - masked_acc: 0.3992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0215 - masked_acc: 0.4024"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 3.0234 - masked_acc: 0.4014"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 3.0186 - masked_acc: 0.4028"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 3.0061 - masked_acc: 0.4026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 2.9967 - masked_acc: 0.4033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 3.0081 - masked_acc: 0.4008"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 3.0148 - masked_acc: 0.4001"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 3.0037 - masked_acc: 0.4006"
]
},
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 3.0145 - masked_acc: 0.3988"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 3.0171 - masked_acc: 0.3982"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 3.0195 - masked_acc: 0.3975"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 3.0209 - masked_acc: 0.3978"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 3.0217 - masked_acc: 0.3983"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 3.0191 - masked_acc: 0.3988"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 3.0217 - masked_acc: 0.3984"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 3.0182 - masked_acc: 0.3987"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 3.0138 - masked_acc: 0.4002"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 3.0103 - masked_acc: 0.4002"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 3.0135 - masked_acc: 0.3993"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 3.0101 - masked_acc: 0.3997"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 3.0102 - masked_acc: 0.4000"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 3.0059 - masked_acc: 0.4004"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 3.0067 - masked_acc: 0.4003"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 3.0070 - masked_acc: 0.4005"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 3.0065 - masked_acc: 0.4000"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 3.0055 - masked_acc: 0.4000"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 2.9992 - masked_acc: 0.4000"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 3.0008 - masked_acc: 0.4006"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 3.0020 - masked_acc: 0.4007"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 3.0027 - masked_acc: 0.4007"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 3.0070 - masked_acc: 0.3994"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 3.0041 - masked_acc: 0.3993"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 3.0031 - masked_acc: 0.3992"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 3.0061 - masked_acc: 0.3988"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 3.0050 - masked_acc: 0.3991"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 3.0042 - masked_acc: 0.3992"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 3.0011 - masked_acc: 0.3999"
]
},
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"output_type": "stream",
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 2.9950 - masked_acc: 0.4008"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 2.9931 - masked_acc: 0.4006"
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},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.9973 - masked_acc: 0.3996"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a yellow wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a scuba surfer performing a player swimming wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 50ms/step - loss: 2.9973 - masked_acc: 0.3996 - val_loss: 3.0611 - val_masked_acc: 0.3796\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 35/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 2.9639 - masked_acc: 0.3947"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 2.9158 - masked_acc: 0.3991"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 2.8577 - masked_acc: 0.4124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.9341 - masked_acc: 0.4055"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.9499 - masked_acc: 0.4042"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.9939 - masked_acc: 0.3972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.9716 - masked_acc: 0.4032"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 2.9452 - masked_acc: 0.4054"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 2.9549 - masked_acc: 0.4013"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.9693 - masked_acc: 0.4033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 2.9488 - masked_acc: 0.4048"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 2.9575 - masked_acc: 0.4034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 2.9540 - masked_acc: 0.4045"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 2.9610 - masked_acc: 0.4033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.9565 - masked_acc: 0.4037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.9600 - masked_acc: 0.4030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 2.9496 - masked_acc: 0.4050"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 2.9596 - masked_acc: 0.4035"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 2.9535 - masked_acc: 0.4037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 2.9636 - masked_acc: 0.4019"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.9655 - masked_acc: 0.4023"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.9626 - masked_acc: 0.4026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.9573 - masked_acc: 0.4030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 2.9523 - masked_acc: 0.4029"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 2.9560 - masked_acc: 0.4022"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 2.9632 - masked_acc: 0.4012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.9628 - masked_acc: 0.4011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 2.9636 - masked_acc: 0.4000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 2.9649 - masked_acc: 0.3994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.9714 - masked_acc: 0.3987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 2.9691 - masked_acc: 0.3982"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.9714 - masked_acc: 0.3977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.9718 - masked_acc: 0.3976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 2.9742 - masked_acc: 0.3971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 2.9738 - masked_acc: 0.3975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 2.9760 - masked_acc: 0.3975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 2.9792 - masked_acc: 0.3970"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.9822 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 2.9799 - masked_acc: 0.3968"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.9811 - masked_acc: 0.3973"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.9814 - masked_acc: 0.3969"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is riding an orange and red surfboard\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"three girls racing with other kayak in a swimming pool\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 53ms/step - loss: 2.9814 - masked_acc: 0.3969 - val_loss: 3.0362 - val_masked_acc: 0.3860\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 36/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.0822 - masked_acc: 0.3770"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 2.9595 - masked_acc: 0.4135"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.9049 - masked_acc: 0.4141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.9508 - masked_acc: 0.4055"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.9331 - masked_acc: 0.4078"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.9286 - masked_acc: 0.4067"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.9147 - masked_acc: 0.4057"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 2.9510 - masked_acc: 0.4030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 2.9506 - masked_acc: 0.4017"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.9647 - masked_acc: 0.3987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 2.9647 - masked_acc: 0.3994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 2.9699 - masked_acc: 0.3977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 2.9793 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 2.9700 - masked_acc: 0.4007"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.9627 - masked_acc: 0.4014"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 2.9556 - masked_acc: 0.4032"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 2.9463 - masked_acc: 0.4051"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 2.9433 - masked_acc: 0.4063"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 2.9561 - masked_acc: 0.4044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 2.9519 - masked_acc: 0.4053"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.9595 - masked_acc: 0.4049"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.9605 - masked_acc: 0.4046"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.9620 - masked_acc: 0.4038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 2.9676 - masked_acc: 0.4034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 2.9663 - masked_acc: 0.4028"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 0s - loss: 2.9677 - masked_acc: 0.4024"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.9672 - masked_acc: 0.4036"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 2.9709 - masked_acc: 0.4031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 2.9764 - masked_acc: 0.4020"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.9759 - masked_acc: 0.4022"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 2.9781 - masked_acc: 0.4017"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.9840 - masked_acc: 0.4010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.9893 - masked_acc: 0.4004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 2.9823 - masked_acc: 0.4008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 2.9828 - masked_acc: 0.4012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.9840 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 2.9846 - masked_acc: 0.4000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 2.9870 - masked_acc: 0.3999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 2.9805 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 2.9766 - masked_acc: 0.4011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 2.9779 - masked_acc: 0.4005"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a yellow wetsuit is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a surfboard riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a kid is wearing a wetsuit sits on a wave while riding water\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 55ms/step - loss: 2.9772 - masked_acc: 0.4006 - val_loss: 2.9773 - val_masked_acc: 0.3925\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 37/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.0043 - masked_acc: 0.3848"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.0197 - masked_acc: 0.3911"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 2.9422 - masked_acc: 0.4008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.9685 - masked_acc: 0.4017"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 3.0031 - masked_acc: 0.4018"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.9894 - masked_acc: 0.4025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 2.9884 - masked_acc: 0.3974"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 3.0007 - masked_acc: 0.3944"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 3.0198 - masked_acc: 0.3919"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 3.0219 - masked_acc: 0.3922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 3.0164 - masked_acc: 0.3934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 3.0017 - masked_acc: 0.3930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 2.9930 - masked_acc: 0.3952"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 2.9940 - masked_acc: 0.3931"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 2.9955 - masked_acc: 0.3943"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 3.0008 - masked_acc: 0.3947"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 2.9911 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 2.9942 - masked_acc: 0.3971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 2.9867 - masked_acc: 0.3970"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 2.9851 - masked_acc: 0.3971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 2.9929 - masked_acc: 0.3964"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.9982 - masked_acc: 0.3962"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.9975 - masked_acc: 0.3963"
]
},
{
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 2.9976 - masked_acc: 0.3961"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 2.9973 - masked_acc: 0.3957"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 2.9972 - masked_acc: 0.3948"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 2.9954 - masked_acc: 0.3953"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.9944 - masked_acc: 0.3949"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 2.9935 - masked_acc: 0.3952"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 2.9879 - masked_acc: 0.3959"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 2.9895 - masked_acc: 0.3958"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.9886 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 2.9833 - masked_acc: 0.3974"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 2.9745 - masked_acc: 0.3987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.9746 - masked_acc: 0.3983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 2.9767 - masked_acc: 0.3985"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 2.9689 - masked_acc: 0.3992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 2.9689 - masked_acc: 0.3997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 2.9716 - masked_acc: 0.3994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 2.9765 - masked_acc: 0.3986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 2.9778 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.9764 - masked_acc: 0.3984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red and white surfboard in a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a helmet is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a yellow raft in a yellow suit slides down a waterfall\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 2.9764 - masked_acc: 0.3984 - val_loss: 2.9978 - val_masked_acc: 0.3887\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 38/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1487 - masked_acc: 0.4129"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 3.0739 - masked_acc: 0.4028"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 3.0129 - masked_acc: 0.4040"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 3.0120 - masked_acc: 0.3983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 2s - loss: 2.9915 - masked_acc: 0.3967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 2.9691 - masked_acc: 0.3996"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 2.9726 - masked_acc: 0.3963"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 2.9640 - masked_acc: 0.3995"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.9660 - masked_acc: 0.4002"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 2.9721 - masked_acc: 0.3995"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 1s - loss: 2.9779 - masked_acc: 0.3999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 2.9717 - masked_acc: 0.4034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 2.9770 - masked_acc: 0.4027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 2.9770 - masked_acc: 0.4018"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.9750 - masked_acc: 0.4012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 2.9751 - masked_acc: 0.4011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 2.9774 - masked_acc: 0.4012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 2.9780 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 2.9795 - masked_acc: 0.3997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.9705 - masked_acc: 0.4002"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.9689 - masked_acc: 0.4008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 2.9726 - masked_acc: 0.3993"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.9733 - masked_acc: 0.3994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 2.9770 - masked_acc: 0.3994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 2.9733 - masked_acc: 0.3992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 2.9734 - masked_acc: 0.3995"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.9746 - masked_acc: 0.3988"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 2.9735 - masked_acc: 0.3981"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/100 [===================>..........] - ETA: 0s - loss: 2.9731 - masked_acc: 0.3982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.9699 - masked_acc: 0.3987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 2.9636 - masked_acc: 0.3991"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 2.9611 - masked_acc: 0.4000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.9586 - masked_acc: 0.4005"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 2.9575 - masked_acc: 0.4004"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 2.9540 - masked_acc: 0.4007"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.9515 - masked_acc: 0.4008"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 2.9472 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 2.9471 - masked_acc: 0.4005"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 2.9465 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 2.9463 - masked_acc: 0.4003"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.9449 - masked_acc: 0.4008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.9407 - masked_acc: 0.4006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red blue wetsuit surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"surfer riding away out of a raft of a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 52ms/step - loss: 2.9407 - masked_acc: 0.4006 - val_loss: 2.9950 - val_masked_acc: 0.3846\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 39/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.1323 - masked_acc: 0.3675"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 2.8796 - masked_acc: 0.4090"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 3s - loss: 2.8130 - masked_acc: 0.4168"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.8275 - masked_acc: 0.4104"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.8562 - masked_acc: 0.4095"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.8674 - masked_acc: 0.4082"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 2.8674 - masked_acc: 0.4093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 2.8608 - masked_acc: 0.4110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 2.8530 - masked_acc: 0.4137"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.8540 - masked_acc: 0.4130"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 2.8414 - masked_acc: 0.4138"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 2.8577 - masked_acc: 0.4126"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 2.8454 - masked_acc: 0.4133"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.8608 - masked_acc: 0.4107"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.8513 - masked_acc: 0.4104"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 2.8438 - masked_acc: 0.4121"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 2.8527 - masked_acc: 0.4111"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 2.8450 - masked_acc: 0.4131"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 2.8473 - masked_acc: 0.4133"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.8506 - masked_acc: 0.4120"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 2.8489 - masked_acc: 0.4124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 2.8535 - masked_acc: 0.4124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 2.8592 - masked_acc: 0.4116"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 2.8573 - masked_acc: 0.4122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 2.8605 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 2.8568 - masked_acc: 0.4117"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.8568 - masked_acc: 0.4114"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.8605 - masked_acc: 0.4109"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 2.8631 - masked_acc: 0.4103"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.8586 - masked_acc: 0.4110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.8542 - masked_acc: 0.4119"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 2.8525 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 2.8521 - masked_acc: 0.4116"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.8537 - masked_acc: 0.4112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 2.8505 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.8478 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 2.8461 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.8525 - masked_acc: 0.4110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.8537 - masked_acc: 0.4108"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man rides a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer surfing\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 4s 45ms/step - loss: 2.8537 - masked_acc: 0.4108 - val_loss: 2.9127 - val_masked_acc: 0.3974\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 40/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 2s - loss: 2.8045 - masked_acc: 0.3950"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 2.7943 - masked_acc: 0.4125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.8151 - masked_acc: 0.4148"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/100 [=>............................] - ETA: 2s - loss: 2.8188 - masked_acc: 0.4164"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/100 [==>...........................] - ETA: 2s - loss: 2.8204 - masked_acc: 0.4154"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/100 [==>...........................] - ETA: 2s - loss: 2.8410 - masked_acc: 0.4118"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/100 [===>..........................] - ETA: 2s - loss: 2.8244 - masked_acc: 0.4181"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 2.8293 - masked_acc: 0.4155"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 2.8422 - masked_acc: 0.4121"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 1s - loss: 2.8576 - masked_acc: 0.4107"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 1s - loss: 2.8697 - masked_acc: 0.4112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 1s - loss: 2.8561 - masked_acc: 0.4112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 2.8647 - masked_acc: 0.4106"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 2.8594 - masked_acc: 0.4117"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.8631 - masked_acc: 0.4103"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 2.8651 - masked_acc: 0.4097"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 2.8712 - masked_acc: 0.4089"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 2.8743 - masked_acc: 0.4093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 2.8805 - masked_acc: 0.4089"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 2.8852 - masked_acc: 0.4079"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 2.8808 - masked_acc: 0.4072"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 2.8791 - masked_acc: 0.4069"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 2.8733 - masked_acc: 0.4080"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/100 [===============>..............] - ETA: 1s - loss: 2.8806 - masked_acc: 0.4078"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 2.8792 - masked_acc: 0.4089"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 2.8749 - masked_acc: 0.4088"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 0s - loss: 2.8752 - masked_acc: 0.4081"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.8787 - masked_acc: 0.4085"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 2.8790 - masked_acc: 0.4080"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.8752 - masked_acc: 0.4077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.8774 - masked_acc: 0.4077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 2.8768 - masked_acc: 0.4079"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.8724 - masked_acc: 0.4085"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 2.8711 - masked_acc: 0.4089"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 2.8735 - masked_acc: 0.4086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 2.8714 - masked_acc: 0.4091"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 2.8707 - masked_acc: 0.4093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 2.8757 - masked_acc: 0.4088"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.8766 - masked_acc: 0.4086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 2.8777 - masked_acc: 0.4084"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/100 [===========================>..] - ETA: 0s - loss: 2.8780 - masked_acc: 0.4082"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 2.8824 - masked_acc: 0.4076"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red shirt is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is in a wave in a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a white swimsuit is going through pool with a boat\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 53ms/step - loss: 2.8823 - masked_acc: 0.4074 - val_loss: 3.0317 - val_masked_acc: 0.3880\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 41/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 3.0075 - masked_acc: 0.4140"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 2.8941 - masked_acc: 0.4041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.8451 - masked_acc: 0.4019"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.8954 - masked_acc: 0.4004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.8698 - masked_acc: 0.4031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.8726 - masked_acc: 0.4012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.8403 - masked_acc: 0.4052"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/100 [===>..........................] - ETA: 2s - loss: 2.8787 - masked_acc: 0.4017"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 2.8732 - masked_acc: 0.4004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.8563 - masked_acc: 0.4013"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/100 [=====>........................] - ETA: 2s - loss: 2.8492 - masked_acc: 0.4033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 2.8492 - masked_acc: 0.4041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/100 [=======>......................] - ETA: 1s - loss: 2.8598 - masked_acc: 0.4018"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 2.8635 - masked_acc: 0.4034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.8652 - masked_acc: 0.4020"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.8644 - masked_acc: 0.4027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 2.8677 - masked_acc: 0.4030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 2.8641 - masked_acc: 0.4035"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 2.8621 - masked_acc: 0.4034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 2.8587 - masked_acc: 0.4039"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 2.8593 - masked_acc: 0.4038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.8536 - masked_acc: 0.4044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.8566 - masked_acc: 0.4047"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.8498 - masked_acc: 0.4057"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 2.8458 - masked_acc: 0.4064"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/100 [================>.............] - ETA: 1s - loss: 2.8451 - masked_acc: 0.4067"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/100 [=================>............] - ETA: 1s - loss: 2.8424 - masked_acc: 0.4070"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/100 [=================>............] - ETA: 1s - loss: 2.8403 - masked_acc: 0.4069"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 2.8406 - masked_acc: 0.4075"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.8427 - masked_acc: 0.4078"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/100 [====================>.........] - ETA: 0s - loss: 2.8430 - masked_acc: 0.4078"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/100 [====================>.........] - ETA: 0s - loss: 2.8434 - masked_acc: 0.4082"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.8380 - masked_acc: 0.4084"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.8427 - masked_acc: 0.4082"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 2.8315 - masked_acc: 0.4095"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/100 [========================>.....] - ETA: 0s - loss: 2.8319 - masked_acc: 0.4096"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 2.8307 - masked_acc: 0.4102"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 2.8353 - masked_acc: 0.4096"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.8362 - masked_acc: 0.4091"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 2.8340 - masked_acc: 0.4094"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 2.8373 - masked_acc: 0.4094"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/100 [============================>.] - ETA: 0s - loss: 2.8383 - masked_acc: 0.4089"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer rides a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer in a blue shirt is being pulled on a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person on a wave as some boat goes into a pool\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 54ms/step - loss: 2.8391 - masked_acc: 0.4090 - val_loss: 2.9163 - val_masked_acc: 0.4016\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 42/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 2.8400 - masked_acc: 0.4344"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 2.8498 - masked_acc: 0.4226"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.8636 - masked_acc: 0.4180"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.8290 - masked_acc: 0.4194"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.8578 - masked_acc: 0.4139"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.8419 - masked_acc: 0.4162"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.8354 - masked_acc: 0.4161"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 2.8322 - masked_acc: 0.4155"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/100 [====>.........................] - ETA: 2s - loss: 2.8328 - masked_acc: 0.4161"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/100 [====>.........................] - ETA: 2s - loss: 2.8456 - masked_acc: 0.4131"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 2.8383 - masked_acc: 0.4139"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/100 [======>.......................] - ETA: 2s - loss: 2.8431 - masked_acc: 0.4135"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 2.8411 - masked_acc: 0.4137"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 2.8451 - masked_acc: 0.4135"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.8396 - masked_acc: 0.4128"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/100 [=========>....................] - ETA: 1s - loss: 2.8474 - masked_acc: 0.4123"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/100 [==========>...................] - ETA: 1s - loss: 2.8464 - masked_acc: 0.4113"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/100 [==========>...................] - ETA: 1s - loss: 2.8488 - masked_acc: 0.4105"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 2.8464 - masked_acc: 0.4110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 2.8529 - masked_acc: 0.4110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/100 [============>.................] - ETA: 1s - loss: 2.8625 - masked_acc: 0.4104"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.8588 - masked_acc: 0.4099"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/100 [==============>...............] - ETA: 1s - loss: 2.8585 - masked_acc: 0.4097"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/100 [==============>...............] - ETA: 1s - loss: 2.8584 - masked_acc: 0.4096"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 2.8655 - masked_acc: 0.4087"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 2.8678 - masked_acc: 0.4077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 2.8653 - masked_acc: 0.4088"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.8636 - masked_acc: 0.4092"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/100 [==================>...........] - ETA: 0s - loss: 2.8680 - masked_acc: 0.4085"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.8612 - masked_acc: 0.4090"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 2.8561 - masked_acc: 0.4099"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 2.8555 - masked_acc: 0.4104"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 2.8530 - masked_acc: 0.4100"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/100 [======================>.......] - ETA: 0s - loss: 2.8546 - masked_acc: 0.4095"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 2.8588 - masked_acc: 0.4088"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/100 [=======================>......] - ETA: 0s - loss: 2.8593 - masked_acc: 0.4082"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.8591 - masked_acc: 0.4079"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 2.8602 - masked_acc: 0.4086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/100 [=========================>....] - ETA: 0s - loss: 2.8609 - masked_acc: 0.4083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.8626 - masked_acc: 0.4087"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/100 [==========================>...] - ETA: 0s - loss: 2.8630 - masked_acc: 0.4086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 2.8605 - masked_acc: 0.4093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.8556 - masked_acc: 0.4096"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/100 [============================>.] - ETA: 0s - loss: 2.8530 - masked_acc: 0.4098"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is riding a wave on a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red suit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer is splashing splash in a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 51ms/step - loss: 2.8560 - masked_acc: 0.4095 - val_loss: 2.9619 - val_masked_acc: 0.3866\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 43/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 2.5989 - masked_acc: 0.4503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 2s - loss: 2.8519 - masked_acc: 0.4092"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.8278 - masked_acc: 0.4114"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.8944 - masked_acc: 0.4063"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.9359 - masked_acc: 0.3975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.9071 - masked_acc: 0.4083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.9045 - masked_acc: 0.4111"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 2.9049 - masked_acc: 0.4099"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 2.8774 - masked_acc: 0.4105"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/100 [=====>........................] - ETA: 2s - loss: 2.8614 - masked_acc: 0.4115"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/100 [=====>........................] - ETA: 2s - loss: 2.8715 - masked_acc: 0.4099"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 2.8607 - masked_acc: 0.4106"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/100 [======>.......................] - ETA: 2s - loss: 2.8411 - masked_acc: 0.4123"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/100 [=======>......................] - ETA: 1s - loss: 2.8403 - masked_acc: 0.4141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/100 [========>.....................] - ETA: 1s - loss: 2.8389 - masked_acc: 0.4140"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/100 [========>.....................] - ETA: 1s - loss: 2.8453 - masked_acc: 0.4131"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.8456 - masked_acc: 0.4126"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 2.8458 - masked_acc: 0.4122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/100 [===========>..................] - ETA: 1s - loss: 2.8506 - masked_acc: 0.4123"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/100 [===========>..................] - ETA: 1s - loss: 2.8529 - masked_acc: 0.4125"
]
},
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"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/100 [============>.................] - ETA: 1s - loss: 2.8511 - masked_acc: 0.4122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/100 [=============>................] - ETA: 1s - loss: 2.8426 - masked_acc: 0.4135"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/100 [=============>................] - ETA: 1s - loss: 2.8444 - masked_acc: 0.4130"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 2.8472 - masked_acc: 0.4135"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.8445 - masked_acc: 0.4141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/100 [===============>..............] - ETA: 1s - loss: 2.8452 - masked_acc: 0.4143"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 2.8492 - masked_acc: 0.4142"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 2.8605 - masked_acc: 0.4126"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/100 [==================>...........] - ETA: 0s - loss: 2.8568 - masked_acc: 0.4126"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/100 [===================>..........] - ETA: 0s - loss: 2.8584 - masked_acc: 0.4116"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 2.8640 - masked_acc: 0.4102"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 2.8675 - masked_acc: 0.4097"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/100 [=====================>........] - ETA: 0s - loss: 2.8620 - masked_acc: 0.4106"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/100 [======================>.......] - ETA: 0s - loss: 2.8606 - masked_acc: 0.4102"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/100 [=======================>......] - ETA: 0s - loss: 2.8607 - masked_acc: 0.4112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 2.8677 - masked_acc: 0.4100"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/100 [========================>.....] - ETA: 0s - loss: 2.8713 - masked_acc: 0.4097"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/100 [=========================>....] - ETA: 0s - loss: 2.8747 - masked_acc: 0.4087"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/100 [==========================>...] - ETA: 0s - loss: 2.8770 - masked_acc: 0.4076"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/100 [===========================>..] - ETA: 0s - loss: 2.8721 - masked_acc: 0.4077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.8777 - masked_acc: 0.4067"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.8798 - masked_acc: 0.4063"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a surfer in a red surfboard is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a big body tshirt in the ocean ocean\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 49ms/step - loss: 2.8798 - masked_acc: 0.4063 - val_loss: 2.9247 - val_masked_acc: 0.4029\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 44/100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/100 [..............................] - ETA: 3s - loss: 2.7685 - masked_acc: 0.4177"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/100 [..............................] - ETA: 3s - loss: 2.8193 - masked_acc: 0.4159"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/100 [>.............................] - ETA: 2s - loss: 2.8341 - masked_acc: 0.4019"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/100 [=>............................] - ETA: 2s - loss: 2.8729 - masked_acc: 0.3988"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/100 [=>............................] - ETA: 2s - loss: 2.8449 - masked_acc: 0.4068"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/100 [==>...........................] - ETA: 2s - loss: 2.8819 - masked_acc: 0.4003"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/100 [==>...........................] - ETA: 2s - loss: 2.9005 - masked_acc: 0.4008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/100 [===>..........................] - ETA: 2s - loss: 2.8846 - masked_acc: 0.4052"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/100 [====>.........................] - ETA: 2s - loss: 2.9013 - masked_acc: 0.4018"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/100 [=====>........................] - ETA: 2s - loss: 2.9027 - masked_acc: 0.4037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/100 [======>.......................] - ETA: 2s - loss: 2.9224 - masked_acc: 0.4032"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/100 [=======>......................] - ETA: 1s - loss: 2.9191 - masked_acc: 0.4047"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/100 [========>.....................] - ETA: 1s - loss: 2.9054 - masked_acc: 0.4062"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/100 [========>.....................] - ETA: 1s - loss: 2.8976 - masked_acc: 0.4068"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/100 [=========>....................] - ETA: 1s - loss: 2.8988 - masked_acc: 0.4073"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/100 [=========>....................] - ETA: 1s - loss: 2.8912 - masked_acc: 0.4070"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/100 [==========>...................] - ETA: 1s - loss: 2.8907 - masked_acc: 0.4068"
]
},
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"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/100 [===========>..................] - ETA: 1s - loss: 2.8995 - masked_acc: 0.4047"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/100 [===========>..................] - ETA: 1s - loss: 2.9025 - masked_acc: 0.4048"
]
},
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"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/100 [============>.................] - ETA: 1s - loss: 2.9047 - masked_acc: 0.4039"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/100 [=============>................] - ETA: 1s - loss: 2.9021 - masked_acc: 0.4033"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/100 [==============>...............] - ETA: 1s - loss: 2.9044 - masked_acc: 0.4031"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/100 [==============>...............] - ETA: 1s - loss: 2.9046 - masked_acc: 0.4031"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/100 [===============>..............] - ETA: 1s - loss: 2.8980 - masked_acc: 0.4044"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/100 [================>.............] - ETA: 1s - loss: 2.8918 - masked_acc: 0.4054"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/100 [================>.............] - ETA: 1s - loss: 2.8896 - masked_acc: 0.4061"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/100 [=================>............] - ETA: 1s - loss: 2.8885 - masked_acc: 0.4063"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/100 [=================>............] - ETA: 0s - loss: 2.8921 - masked_acc: 0.4062"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/100 [==================>...........] - ETA: 0s - loss: 2.8951 - masked_acc: 0.4052"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/100 [===================>..........] - ETA: 0s - loss: 2.8967 - masked_acc: 0.4048"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/100 [====================>.........] - ETA: 0s - loss: 2.8946 - masked_acc: 0.4049"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/100 [====================>.........] - ETA: 0s - loss: 2.8942 - masked_acc: 0.4044"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/100 [=====================>........] - ETA: 0s - loss: 2.8975 - masked_acc: 0.4037"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/100 [=====================>........] - ETA: 0s - loss: 2.8971 - masked_acc: 0.4036"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/100 [======================>.......] - ETA: 0s - loss: 2.8936 - masked_acc: 0.4039"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/100 [=======================>......] - ETA: 0s - loss: 2.8950 - masked_acc: 0.4035"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/100 [=======================>......] - ETA: 0s - loss: 2.8958 - masked_acc: 0.4033"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/100 [========================>.....] - ETA: 0s - loss: 2.8921 - masked_acc: 0.4033"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/100 [=========================>....] - ETA: 0s - loss: 2.8889 - masked_acc: 0.4043"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/100 [==========================>...] - ETA: 0s - loss: 2.8910 - masked_acc: 0.4047"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/100 [==========================>...] - ETA: 0s - loss: 2.8912 - masked_acc: 0.4043"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/100 [===========================>..] - ETA: 0s - loss: 2.8905 - masked_acc: 0.4049"
]
},
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/100 [============================>.] - ETA: 0s - loss: 2.8916 - masked_acc: 0.4048"
]
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"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - ETA: 0s - loss: 2.8939 - masked_acc: 0.4038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is surfing\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a man in a red wetsuit is riding a wave\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"a person in a red struggling down a wave\n",
"\n",
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/100 [==============================] - 5s 53ms/step - loss: 2.8939 - masked_acc: 0.4038 - val_loss: 2.9608 - val_masked_acc: 0.3917\n"
]
}
],
"source": [
"history = model.fit(\n",
" train_ds.repeat(),\n",
" steps_per_epoch=100,\n",
" validation_data=test_ds.repeat(),\n",
" validation_steps=20,\n",
" epochs=100,\n",
" callbacks=callbacks)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "P634LfVgw-eV"
},
"source": [
"トレーニングランの損失と精度をプロットします。"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:36.319382Z",
"iopub.status.busy": "2024-01-11T19:19:36.318956Z",
"iopub.status.idle": "2024-01-11T19:19:36.490310Z",
"shell.execute_reply": "2024-01-11T19:19:36.489693Z"
},
"id": "6Wn8KSkUw916"
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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HhrfH38ud7Udz+Gb78UYsUEREmou5c+fi7+9f7dK1a1dXl1cvNI5KXVxxB2z7BFIS4Zsn4LdfVXk0LczfiweHtOXvy37h/y3dw3Vdo/F0Vy4UEZH6c+ONN9K/f/9q9zX0iLGNRUGlLmw2GDcb/j0QUlZB0ly48s4qh907uA3vrz3E4axC5q0/xNRBbRq/VhGRy1wT7mp5yQICAggICHB1GdWqr+ui/8Wvq9C2MGyG+X7p/wd56VUO8fV054mR5oSF//hhH3nFZY1ZoYjIZe1Mi0FhoQbYtKIz1+VSW3bUonIprppmTlZ4fCssfhJ+82GVQ37TN5Z3fkrhwIkC3lx1gOmjOlZzIhERqS273U5wcDAZGRmA+WitrZYjxEr9MwyDwsJCMjIyCA4Oxm63X9L59HjypTq+Dd4cBs5ymPQ+dJ1Q5ZAl24/z8Nwt+HjYSfzDNUQG6DE6EZH6YBgGaWlpZGdnu7oU+ZXg4GCio6OrDY+1+f2toFIffngBVr0EfhHwyHrwC6u02zAMbvr3GpJSsxmcEM4/bruSED9PFxUrInL5cTgclJXp9rpVeHh4XLAlRUGlsZWXwOtDIXM3dL8VJr5Z5ZDNh05x+xvrKHU4aRHkzezfXEH/tmHVnExEROTypgHfGpu7F4x/FWxusP1T2LOkyiG9W4fw+SMDaRPux/GcYm5/cx2zv/8FhwaDExEROS8FlfrSqjcMmGa+/+Z3UJRd5ZBuLYP45rGrmdirFU4DZn+/l9vfXMfxnKLGrVVERKSJUFCpT8P+BKHtIO84LHum2kP8vNz5+609+d/f9MTP086GlCzG/N+PLNtV9fFmERGR5k5BpT55+MB4cwZKtnwA+38476E3XdmKb/5rMN1bBpFdWMb9H2zi+a92UlzmaKRiRURErE9Bpb61Hgj9HjDff/U4lOSf99A24X589vBA7rvaHLH2vTUHufnfa9ifef7PiIiINCcKKg1hxHMQFAc5h2H5zAse6unuxn/f0IV3p/Yl1M+TXcdzGffPn1iw+UgjFSsiImJdCioNwcsfbvyH+X7DG3BozUU/MqxTJEseH8zAdmEUljp4av5Wnl24gzKHs4GLFRERsS4FlYbSbhhceZf5fuGjUHbxJ3uiAr35z739efLaDths8MHaQ0x5ZwPZhaUNXKyIiIg1Kag0pFH/AwEtIGs/rPhrjT5id7Px2IgEXr+zN36edtbsP8n4V1ezNz2vgYsVERGxHgWVhuQTDDfMNt+v/Rcc2Vzjj47qGs1njwykVYgPh04WctO/1/BDsh5hFhGR5kVBpaF1vM4cVt9wwsJp5nD7NdQpOpCF0wbRr00o+SXl3Pv+Jl5P3E8TnvVARESkVhRUGsOYv5kTFmbuhiVPg7PmY6WE+Xvx4b39ub1fHIYBs5Yk8+SnWzXeioiINAsKKo3BNxSuf8V8v/ld+Oh2KM6t8cc93d34603dmHljV+xuNj7/+Si3vbGOjNziBipYRETEGhRUGkuXG2Hi2+DuDXuXwtujICulxh+32WxMGRjPB/f0I8jHg6TUbG7812q2H8lpwKJFRERcS0GlMXW/Be5eDP7R5m2gN4fDwZ9qdYpB7cP5ctog2kX4kZZbzC2vrWHx9uMNVLCIiIhrKag0tpa94YEVEHMlFGXBB+Nh8/u1OkWbcD++mDaIazpGUFLuZNq8Lby/5mDD1CsiIuJCCiquEBgDUxdD15vBWQ5f/xcs+SM4ymt+Cm8P3p7SlzuvMjvZPvfVTl5emqwngkRE5LKioOIqnr5wyzsw7E/m+vo5MO9WKK55nxO7m42/jO/Gk9d2AODVFfv5w4JtlGvYfRERuUwoqLiSzQZD/wCT3gd3H9i/HN4aCSf31+IU5ki2L97cHTcbzN98hAf+s5miUj2+LCIiTZ+CihV0nQD3LoXAlnDiF7OT7YGVtTrFbf3ieP2uPni5u/FDcgZ3vLWOUwWaI0hERJo2BRWraNET7v8BWvaB4myzk+3bo+HnuVBaUKNTXNslirn39SfIx4OfD2dzy2trOJp98ckQRURErMpmNOHel7m5uQQFBZGTk0NgYKCry6kfZcWw5PdmQDFO377xDDAfbe71W/NpIZvtgqfYm57Hb9/ZwPGcYqICvXj/nn50ir5M/nxERKTJq83vb8u0qLz44ovYbDaeeOIJV5fiWh7ecOM/4Xc7YcSzENIGSvPMEW3fHAavXQ3rX4fCrPOeIiEqgM8fGUiHKH/Sc0uY9Npa1h842Yg/hIiISP2wRFDZuHEjr7/+Oj169HB1KdYR2AIGPwmPbYEp35gTG9q9IH0HLPkD/L0TLLgXDiRCNY1iLYJ8mP/gQPq0DiGvuJy73tnAtzs0MJyIiDQtLg8q+fn5TJ48mTfffJOQkBBXl2M9bm7QZjBMfBOe2gNjXoao7uAogR0L4IMb4ZM7q52VOcjXgw/v68/IzlGUljt56MMtPDJ3M4dO1qzPi4iIiKu5PKhMmzaN66+/npEjR1702JKSEnJzcystzYpPCPR/AB76ER5YCX3uMVtZkr+BT+4y+7f8ireHndfu7MU9g9rgZoPF29MY+Uoif/lmF9mFeipIRESszaVB5eOPP2bLli3MmjWrRsfPmjWLoKCgiiU2NraBK7Qom83sVHvD/8IdH5+d6PDj26Gs6lM+7nY3nh3XhcWPD2ZIhwjKHAZv/5TC0JdX8taPBygt1wBxIiJiTS576ic1NZU+ffqwbNmyir4p11xzDVdccQWzZ8+u9jMlJSWUlJy9xZGbm0tsbOzl9dRPXaSsgnm/gbJCiB8Md3wCnn7nPTzxl0xmLd5NcloeAK3DfPnjdZ24rls0tos8USQiInKpavPUj8uCypdffslNN92E3W6v2OZwOLDZbLi5uVFSUlJpX3Uuy8eT6+rQGpg7CUrzIW4gTP4UvALOe7jDaTB/Uyp/X/YLmXlm+OvTOoQ/Xd+ZK+PUV0hERBpOkwgqeXl5HDp0qNK2u+++m06dOvH000/TrVu3i55DQeVXUjfChzdDSS606gd3LgDvoAt+pKCknNdXHeCNVfspLjNvAd3QowUzxnamZbBPY1QtIiLNTJMIKtW52K2fX1NQqcbRLfCfCebkhjG94K7PzU64F5GWU8zfv9vDgi1HMAzw87Tz9JhO3Nm/NW5uuh0kIiL1p0kO+Cb1pGUvc9wVn1A4tgXevxEKLj7YW3SQNy9P6smixwbTp3UIBaUOnl24k9+8sZb9mfmNULiIiEhVlmpRqS21qFxA+i5zjJWCTIjsCr9dCP4RNfqo02kwd/0hXlySTEGpA093Nx4fkcADQ9riYVe2FRGRS6MWFYGoLjB1EfhHQcZOeO96yEur0Ufd3GzcNSCe76YPZWiHCErLnby8dA/j/7WaHUdzGrhwERGRs9Sicrk7sQ/eHwd5xyCgBSSMgrgBEHcVhMRfdIJDwzD4MukoM7/eRXZhGXY3Gw8MacvjIxLw9rjwU1kiIiLVabKdaWtLQaWGslLM20DZhytv9482A8uZ4BLVDezu1Z7iRH4Jz3+1k2+2mfMFtQn348Wbu9O/bVhDVy8iIpcZBRWpqiQfUhLh8Fo4vA6OJYGzrPIxnv7Qqq8ZXPreC37hVU6zbFc6//3ldtJzzbFXbundipuubEm/NqHqvyIiIjWioCIXV1ZkPsp8JrikboCSc/qfRHaF+5ZVO8JtbnEZsxYn89GGsy00gd7uDOsUybVdohjaIYIAb4/G+ClERKQJUlCR2nM6IGM3pK6DlX+DggzoPglufvO8/Vg2Hcxi/qYjLE9O50T+2QkOPe1uXNUujFFdori2SxRRgd6N9VOIiEgToKAil+bgarMDruGA616Eqx6+4OEOp0FS6im+25nOsl3pHDhRUGl/z1ZBXNsliuu6RdM+8vzD+ouISPOgoCKXbu2/YekMcHOHKV9D64E1/ui+jHyW7Urnu11pJKVmc+5/YR2i/BnbvQXXd29BQpRCi4hIc6SgIpfOMOCze2HHZ+AXCQ+ugsAWtT5NRl4xy3dnsHRnGqv3naDMcfY/t4TI06GlRws6KLSIiDQbCipSP0oL4K2RkLELYvubQ/O7e9b5dDmFZSzbnc7i7cf5cW9mpdDSPvJsS0uHKH9sFxnfRUREmi4FFak/J/fDG9eYMzL3ewDGvlwvp80pKuP7Xeks2XGcVb+coNThrNjXNSaQ52/sSt/40Hr5LhERsRYFFalfe5bAR7eZ7296HXreVq+nzy0uY/nudBZtS2PVL5kVoeXWPq3445jOhPrVvRVHRESsR0FF6t8PL8Cql8DdG+5dBi16NMjXnCoo5aWlyXy0IRWAEF8PZoztzC29WuHmpttBIiKXA01KKPXvmj9C+5FQXgyf3AmFWQ3yNSF+nsy6uQefPTyATtEBnCos4w8LtnHbG+v4JT2vQb5TRESsS0FFasbNbg7+Ftwasg/B5w+A03nxz9VR79ahfP3Y1fxpbGd8Pe1sOJjF2P/7kReXJFNYWt5g3ysiItaioCI15xsKv/mPeftn3zJIfLFBv87D7sb9Q9qybPpQRnWJotxp8Frifq59ZRXLd6c36HeLiIg1KKhI7bToCTfMNt8n/g32fNvgX9ky2Ic3ftuHt37bh5bBPhzNLuLe9zfxwAebSPnVKLgiInJ5UWdaqZtFT8LGt8DNA1oPgIRR0P5aiOh43rmB6kNhaTn/WL6Pt348QLnTwGaD67pG89DQdvSMDW6w7xURkfqjp36k4ZWXwsd3mLeAzhUUBwnXmkubIdXOvlwf9qTl8dK3ySxPzqjYNrBdGA8NbcfghHANGCciYmEKKtJ4Tu6Hvd+Zy8HV4Cg5u8/uCfFXmy0t7UeaQ/C7e4Pdo96+fk9aHq+v2s9XSccod5r/KXeNCeTBoe0Y2y0ad7vuboqIWI2CirhGaQGk/Hg6uCyDnMPVH2ezm4HFw9t8PbOcWQ9sad5KShgJPiE1+uqj2UW89eMBPt6QSlGZA4DYUB8eGNyWSX1i8faw19dPKSIil0hBRVzPMODEL2Zg2fsdHF4LjtLancNmN2dt7nAddBwDYe0u+pFTBaV8sPYQ7689SFaB+X1hfp7c0KMFEQFehPh5EuJ7evHzINTXk2BfTzzd1fIiItJYFFTEepxO87ZQeTGUFZuvZ5Zz18uKIG2b+TRR5u7K5wjvcDa0tOoHdvfzfl1RqYNPN6Xy5o8HOHKq6KLl+Xu5E+LnQWSAN/cPbst13aIv9ScWEZHzUFCRy0NWCvyyFPYshkOrwXnOQG8+IdBuBHgFgKPMDEGOUvN9+Zn3pRjlpeQVFnLE3orPIx7hUFkwpwpKOVVYyqnCMrILS3FW8zdg6sB4ZozthJe7bhmJiNQ3BRW5/BTnwL7l8Mu35q2kolO1P4dPKEz4t9kic5rTaZBbXMapwjKyCkpZujONN1YdAKBnqyD+dUcvYkN96+unEBERFFTkcucohyMbzKeMDCe4e5pPGJ27nLvNMGDFC+YtJYB+D8K1fzY771Zj+e50npy/lezCMgK83Xn5lp66FSQiUo8UVER+rbwEvp8J614116O6wcS3IbJTtYcfzS7isXlb2HI4G4B7BrXhj2M6qdOtiEg9UFAROZ+9y+CLh6DwBLj7wJgXodeUakfTLXM4eXnpnrO3gmKD+dftV9b4VlCZw8nOY7nsScslzM+LuDBfYkN88fFUvxcRad4UVEQuJC8dvngQDqww17uMh3H/d94xW77fZd4KyikqI9Dbnf83qSejula9FVRc5uDnw9lsPJjFhpQsthw+RWGpo8px4f5exIb6EBfqS1yoGV5iQ32JDfWhRZAPdjeNqisilzcFFZGLcTph7T9h+Z/Np4mCYmHiWxB3VbWHHzlVyKPzfiYpNRuAe69uw7Rh7dmams2G08Fk25FsyhyV/zoF+XjQvWUQ2UWlHD5ZSG5xeTVnr3z8kA4RDOsYwdAOEYT5e9XLjysiYiUKKiI1dXQzLLgXTqWAzQ2G/MEc7t9mA2xg4/SrjTIHvLf2IF/8fAwDG0eNMHLxr3S6yAAv+rUJpX+bUPq1CSMh0h+3c1pIcgrLSD1VyOGsQlKzTr+eKiI1q5AjpworBR2bDXq2CmZYx0iGdYqgW0xQpXOJiDRVCioitVGSB4uegm0f1+pjxYYH33iMZnfbu+nUoSP92oQSF+pb5wkRyx1Oth7J5ofkDFYkZ7LreG6l/eH+ngztEMnwTpFcnRBOkE/9zZkkItKYFFRE6mLrJ7D6/6A0HzDA4PSrcfbVcAIGhrMcW+FJ83N2T+j1Wxj0BATH1ls5aTnFJP6SwQ/JGfy09wQFv+rv4unuhre7Gz6ednw87HifXnw87BXbvDzcaB/pz4QrWhIT7FNvtYmIXAoFFZGGZhiQkggr/waH15jb3Dzgijtg8HQIia/Xrystd7LpYJbZ2rIng/2ZBbX6vM0Gg9qFM7F3S67r2kJPHomISymoiDSmgz9B4t8gZZW5brNDz9vNwFKDiRTrIruwlIJSB0WlDorLzKWozFwvKjuzzUl+STmrfslkfUpWxWf9vdwZ2z2aib1a0a9NaJ1vVYmI1JWCiogrHFoLq16C/T+Y6zY36D4JBj9pTqjowkCQmlXIZ1uO8NmWI6RmnZ2kMS7Ul5t7tWRir1aaKkBEGo2CiogrHdkEiS/B3qVnt9ncwN0b3L3Mgebcvcx1D+/K2738zTmJfMPAN9RcfE6/+oaZ7z3rHiicToONB7P4bMsRFm07Xqnfy1VtQ3loaDuGdohQK4uINCgFFRErOPYzJL4MexbV73ndfcA/Eq6YDFc9BN5BdTpNYWk5S3em8dnmo6zef4Iz/xL0iw/lqdHmU0wiIg1BQUXESkryobQAyovMOYfKi83XsnPXi831kjwoyoLCk1CYZS7nrjvLKp/bOxgGPgr9HwKvgDqXeCy7iHd+SuGDdYcoLXcCMLRDBE+N6kj3VnULQiIi56OgInI5MoyzQSZ1o9kf5sQv5j6fUBj0X9D3fvP2UR0dzyninz/s49ONqZQ7zX8axnaPZvq1HWgfWfcgJCJyLgUVkebA6YAdn0Pii3Byn7nNNxwGPQ5977ukviyHThYw+/u9fJl0FMMANxvcdGUrnhiZoE63InLJFFREmhNHOWyfbz4ifSrF3OYXCVf/DvrcDR4XGejN6YSyQnPOI5/gSrv2pOXx9+/28N2udAA87DZu6xvHlIGtaR3mh4fdrQF+IBG53CmoiDRHjnJzGoDEv0H2YXObfzQkXGsGkdKC0/1l8s72myk9/crpfwZC2kD81dBmiPkaGANAUmo2/2/pHn7ad6Li69zdbMSF+dI23J92EX60jfCjbYQ/bcP9CPXz1JNDInJeCioizZmjDJLmwaqXISf10s4V2g7aDIb4wRB/NWsy3Pnn8n38nHqK4jJnNR8w8KOY1t5FdAspo3WQO8EJV3FFmyg6RgXgrhYYEUFBRUQAykthxwLIOQKe/mYnW08/8Aw4572/+bSQp5956+fweji4ClJ+hLRtp+c2Okd4B4i/GqdfFIXZ6RRmZ1CedwK3opN4lp7Cz5GDF5WfTMo1fPjO2ZfvbIMoanU1PVtH0Kt1MFfGhhDi59mIfyAiYhUKKiJy6Yqy4fBac4qAlFWQtp2KW0QX4bR7UeIZirO8BL+ys8P3Zxn+LHH052vnADY4OxEfEUCvuBB6tw4h1M+TgpJy8kvKySsur3ifX1xOXsnZdRtw4xUt+U3fWPy93C/958w5arY8teoHbmrxEWkMCioiUv8Ks04Hl9Vm3xa/cPMpI98w8As7PZpumLntzBNHTiekrse54zOcO77AvehsH5d0I5hFjqv4yjGQJKMdULs+LYHe7ky+qjV3D4wnMtC75h8sOHm61WgVHEiErP3m9s43woQ5l/R4t4jUjIKKiFiPoxwO/gg7PoPdX0FxTsWuDHsUB+xt8XQz8HAz8HQzcLcZeNqcuNucuNsM3G0O7BiUOiE534+9JcEcNcLJsEWQ0KET1w/uR9vWbaq2ipTkmfMwpSSaS9r2yvttboANDAdEdYPb5kFI64b/8xBpxhRURMTaykvNyRt3fAbJi6CsoF5OW4YHjoAYvMLisAW2NB/XPrrZ7H9zrojO0HYotBkKrQdCZjJ8cicUZJqtQrd+YD71JCINQkFFRJqO0kLYvxzyM8DNDm7uYDv96uZ2znu7+d5ZDrlHzU7COUfIzzhI6clDBJWfwG6r/p+zIr9WHAvtz37/Xmx178nhUn9O5JVwIt9cSsqdDG9RyrMFLxCZn4zh5o5tzEvQ995a/zhOp8HBkwWcKiylR6tgjTUjUg0FFRFpdg6kneKzxE38vH07Ec5MWtpOcoJA1ji7csSIrNE5vCnhJY83uNG+FoBdLW/BGP0inVuF4+ZWtQ9NSbmDven57DyWw85juew8lsvu47kUnp6VOsTXg7HdWzD+ipb0aR1S7TlEmiMFFRFptk7kl/DB2kN8uO4QecVlhPl5ER7gSbi/1zmLJxEBZ9cBNqScZM3+k6zdf4LbSz/n9+6f4GYzWO/sxB/tT9GpXVsGtAuj3GGw81guu47nsjc9r2JOpHN5ubvh42knu/Dso9otg30Y1zOG8VfE0Ck6QAPiSbOmoCIizd6Zf9pqGwicToPdabkcWf8FQ7bNwMco5IgRzv2lT7LbqNrJNsjHg64xgXSNCaRLTCBdY4JoG+4HwLoDWSxMOsq3O9LIKznbT6ZDlD/jr2jJjT1jNHeSNEsKKiIi9SFzD8ZHt2HLOkCZmzdzQv/AtoChlYJJy2Cfi4ah4jIHK5IzWJh0jB/2ZFBafnYgvV5xwdzQI4bR3aJpGXyReZlELhMKKiIi9aXoFMy/Gw6sMNdbX2127D0zaq9hnH5vmO85ve7uDXEDoO010KovuJuj8OYUlbF0ZxpfJR1jzf4TnHvnqEerIEZ3jWZ012jaR/5qPJe8NDh1CLyDwCfEXNw1sq80TQoqIiL1yVEOy56Fda/W7fMevuZj0G2vMZfIruDmRkZuMd9sO863O9PYeDCLM/8a+1DMdaFpTAg/zhX2fQSe3IYt92jV83oGmIHF93Rw8QkF31DzfXhHiOsPQbGg/jBiMQoqIiINIXUjnDp49he/zQbYzEHjKt6ffi08Yc6ZdGCl+f5cvmHmGC5trzFnqi4rIm//OtJ3/4Rn2s+0LE2p8qi1EzdK/Vrg6SjErTibmk5nQGBLiO0PcVeZS2RXsNfD1AMil0BBRUTEKpxOyNhljop7YKU5BUENBrgr8o4i2d6B5XmxbCxrx3ajDYWYUwWE+7rTPcJG12AHHQLLiPctppV3McHk41Z0ygxGx5LMiSV/Pdidpz+06gOxp4NLqz7mxJQijUhBRUTEqspLzdFyD6w0lyMbzf4sLXtBy97m0qoPBMYAUFTq4Me9mXy7I431KVkczS4676l9POy0jfCjfaQ/3VsGMSDOl06OX7CnrofUdZC6AUpyK3/IzQMSRkGPSdDhOvBQh15peAoqIiJNRXnJ2ZF3a6CgpJyUEwXsy8hnX0Y++zPN14MnCyhzVP3nPMDbnX7xofRvG8pV8cF0cT+K+9ENcHg9HF4HOYfPHuwVCJ3HQfdJ5i2pc2oqLnPg5e5W/RNOjjKzBefQaji0Bk7uM2+B2dwuvLjZzVtTkV0gsrO5hMTX+M9Cmi4FFRGRZqbc4eRwViH7Mwv4JT2PzYdOsTElq9L4LQD+Xu70jQ+hf9swrmobRme3VEp//gTP3Z/jVXC2w26OexirvYfylfNqVhe0JK/EQXSgNyO7RDIqIZCrvFLwPLLODCZHNkJZYf38IO7eENHxnPBy+jWwpToFX0aaTFCZM2cOc+bM4eDBgwB07dqVZ599ljFjxtTo8woqIiLn53Aa7DqWy7oDJ1mfcpINKVnkFpdXe6wNJ31svzDBvprr7esItp3tR7PPGcNXjoF420rp55ZMD9t+PG2OyifwCTWfbGo9EKJ7nH2E+8zidJx9lLtiWxlkpUDGbsjcDZl7oLy4+h/GNxx63gZ97oGwdvX1R+Qaucdgzb+gwyizQ3Uz1GSCytdff43dbichIQHDMHj//fd5+eWX+fnnn+natetFP6+gIiJScw6nwe7juaxPyWLdATO45BSV4WG3ERngTVSgF9FB3rTws9OnfDPds5bSIn0ldkdJlXOlGSGsd3Zmg7MTm4zOhMR1ZWTXFozsHEX86ZF5a83pMJ+qythlhpczy8m9lTsFtxkKfe6Gjtc3vbFkUjfCJ5MhPx2wwbA/weAnzQk4m5EmE1SqExoayssvv8y991581lIFFRGRunM6DXKLywj09jj/hInFubD7a9izGLyDofVAnHED2V4QzPfJGSzblU5yWl6lj7QK8SHc34tAHw+CfDwI8nEnyMeDQO8z6+YS6ONBZIAXYf5e2C80YWN5qTnD9qZ3YO8yKh7N9ouEK++E3lPMvi01/sEd5gzcBSfM/kF2D7NTsd399KvH6X5Dp/fZPeun38zPc+GbJ8BRCn4RUJBpbu94Pdz0Gng3n99jTTKoOBwO5s+fz5QpU/j555/p0qVLlWNKSkooKTmb7HNzc4mNjVVQERFxodSsQr7fnc73u9NZfyCr2okaL8TdzUZUoDfRQebS4tz3Qd5EB/kQ7u+Jp90NW04qbH4ffv7P6VYJABu0H2HeFkoYbQYOR7nZUTjrgHl7KevA2eXUQTMs1JgNOoyGa/9s9p+prV8PGNjpBjOY7PwCFj1p1hKWALfNrdv5m6AmFVS2b9/OgAEDKC4uxt/fn3nz5jF27Nhqj33++eeZOXNmle0KKiIi1pBTVEby8VxyisoqltzicnLPWT93OZlfQm1yjZe7G57ubvjaDUa6beYm53f0cSRV7D/lFkqJmzfh5em44zjvecrwoMA9GC87eNocuBnl2Jzl5hNMzrLqP2SzQ997YegfwS+sZgX/egqGoU+bnz9zq+fIZvj0LrOFx9PfDDCdx9Xs3E1YkwoqpaWlHD58mJycHBYsWMBbb71FYmKiWlRERJqBcoeTzPwSjucUk5ZTfPq1iOM5xaTnFle8Vvfo9RmtbWncbl/BLfZEwm1nx4kpNjw4aERzyIjioBHFISPafHVGcZwwnJztFxId6E2/NuZj3P3jQ2kX7m0GF2c55ByB5X+BPYvMg72DYMgfoN8DF+4jk7kHPrrNbMXx8DVDSJfxVY/Lz4T5U+HQT+b64CfNvis1vd1UWgD7lpuPhwe3hjaDK6ZpqLOiU3BorXnOlr2h2811P1c1mlRQ+bWRI0fSrl07Xn/99Yseqz4qIiKXP6fTIK+4nBKHg9JyJyXlTkpPLyUVrw7KS4oJSF9Huc2DPN/WFHqFY9jcMAwDwwCnAQaG2YJjGBzPKWZDShZbj2RXCULh/p5mcGkTRv+2oXSMCsCWsgqW/gnSt5sHhbSBUX8xb+X8+tHpPd/CZ/dBaR4ExcHt8yC6+/l/SEfZ6dtD/zbX242AiW+ZczdVp+AE/PItJC+C/T9UfVrKJxTirzbHw2kzBMI7XPjx7sIs81HzQ6vh4I+QtoOKvkCdbjBvS9WjJh1Uhg8fTlxcHO+9995Fj1VQERGRS1VU6uDnw6dYn5LF+pST/Hw4m5JyZ6VjrowL5s83dqN7jD8kzYMf/nK2j0zrq2H0CxBzhfkI9k//C8v/DBjmvlvfB7/wmhWzbT589RiUF5mtI7fNPRtwTh00g0nyIji89uwM3mAe234EZB82W0J+PU2DfxTEDzZbW+IHmx2jD62Ggz+Zr+k7qTJ/VFgCxA8yRy7udH3N6q+hBg8qBQUFvPjiiyxfvpyMjAyczsoX9MCBAzU6z4wZMxgzZgxxcXHk5eUxb948/va3v7F06VKuvfbai35eQUVEROpbSbmDbUdyWH/gJOtTsth4MIviMic2G9zRL47fj+5IsL0EfpoNa/91ujXDBlfcYb7f8Zl5oj73wpi/mU8O1Ubadvh4MmQfAncf6HWX2dqRvqPycdE9zNaOTtdDVNezLSaOMji6BVJWwcFV5tQJ5xuf5lzhHc1WmPhB0HoQBETXru5aaPCgcvvtt5OYmMhdd91FixYtqgyp/Pjjj9foPPfeey/Lly/n+PHjBAUF0aNHD55++ukahRRQUBERkYaXkVvMXxfv5sukYwCE+Hrw+9Gd+E3fWOy5R2D5TNg+/+wH3NxhzEtmx9u6Kswybx3tX352m81uDqjX6QboNBaC42p2rrJiOLrJDC4pP5ojCTvLIKJz5WDiH1n3emupwYNKcHAwixYtYtCgQXUusj4oqIiISGNZd+Akzy3cyZ50c9yYHq2C+PP4blwRGwxHNpl9TLJTzU6z8fXw+9HpMG8jpe80b790GH3+Piu1UVoIjhLwCQHM+aMy8krIyC0mM7+EjNwSMvJKyMwrISOvmIHtwnn4mvodDbg2v7/d6/IFISEhhIbWwx+WiIhIE3FV2zC++a+r+WDtIWYv+4VtR3K46d+r+U2fWP5wXQ9C71583s9m5Baz41gOO47msuNoDvsy82kX4c+ITpEM6xRJVKB31Q+52WHIU5dct8NpcORUIXvT89mbkc/ejDyOZBWRkVdMRl4JhaXnf4wbzIktXalOLSoffvghCxcu5P3338fX17ch6qoRtaiIiIgrZOQV8+LiZD7/2ZzIMcjHg6dGd+SOfnGk5Raz42gOO4/msONYLtuP5pCZV3UagnN1bxnE8E6RjOgcSbeYoPOPFHwB5Q4nh7LMQLIvI88MJenmDNu/7hz8a76ediIDvIgM8CYiwIuIAC8iA72I8PeifaQ/V8aF1LqeC2nwWz9XXnkl+/fvxzAM4uPj8fCo3FFoy5YttT1lnSioiIiIK208mMUzX+6omEbA28ON4rKqocDNBu0i/OnWMohuLYNoF+HH9iM5LE/OYOuRbM79TRzu78XwThEM7xTF4IRw/LzcMQyD3OJyjucUcSy7iKPZxRzPNt8fyy7mWE4RaTnF5x0V2NPdjXYR/iREmkvrcD+iAryIDDSDib9X47aaNHhQqW502HM999xztT1lnSioiIiIq5U7nHy47hB/X/YLecXluLvZSIgKoFtMIN1bBdE1JojOLQLw9aw+DGTmlbByTwY/JGew6pdMCs65FeNpd6NVqA8ZuSXkl1Q/8/W5fDzsJET50z7SXBIiA0iI9Cc21PfC8yk1siY9jkptKKiIiIhV5BaXcfRUEW3C/fD2qNskhiXlDjamnGJ5cjrLd2dwOKuw0v4QXw9ign3MJcj77Ptg831UgHedbhs1tkYJKtnZ2SxYsID9+/fz+9//ntDQULZs2UJUVBQtW7asU+G1paAiIiKXK8Mw2J9ZQFpOMS2CvYkJ8sHHsx5mcbaABn/qZ9u2bYwcOZKgoCAOHjzI/fffT2hoKJ9//jmHDx/mgw8+qFPhIiIiYrLZbBW3cJqzOs1YNH36dKZOncrevXvx9j77SNXYsWNZtWpVvRUnIiIizVudgsrGjRt58MEHq2xv2bIlaWlpl1yUiIiICNQxqHh5eZGbm1tl+y+//EJERMQlFyUiIiICdQwqN954I3/+858pKysDzPtohw8f5umnn2bixIn1WqCIiIg0X3UKKn//+9/Jz88nMjKSoqIihg4dSvv27QkICOCFF16o7xpFRESkmarTUz9BQUEsW7aM1atXs3XrVvLz8+nVqxcjR46kCQ/LIiIiIhZTp3FUXn75ZX7/+99X2e5wOLjzzjv56KOP6qW4i9E4KiIiIk1PbX5/1+nWz8svv8zbb79daZvD4eC2224jKSmpLqcUERERqaJOt34WLVrEqFGjCAoK4pZbbqG8vJxbb72V5ORkVqxYUd81ioiISDNVp6DSt29fPvvsMyZMmICnpydvv/02+/btY8WKFURFRdV3jSIiItJM1enWD8Dw4cP54IMPmDhxIikpKSQmJiqkiIiISL2qcYvKzTffXO32iIgIgoODeeCBByq2ff7555demYiIiDR7NQ4qQUFB1W4fPXp0vRUjIiIicq4aB5V33323IesQERERqaJOnWnPyMzMZM+ePQB07NhR8/yIiIhIvapTZ9qCggLuueceWrRowZAhQxgyZAgxMTHce++9FBYW1neNIiIi0kzVKahMnz6dxMREvv76a7Kzs8nOzmbhwoUkJiby5JNP1neNIiIi0kzVaQj98PBwFixYwDXXXFNp+4oVK7j11lvJzMysr/ouSEPoi4iIND0NPoR+YWFhtWOmREZG6taPiIiI1Js6BZUBAwbw3HPPUVxcXLGtqKiImTNnMmDAgHorTkRERJq3Oj31M3v2bK677jpatWpFz549Adi6dSve3t4sXbq0XgsUERGR5qtOfVTAvP0zd+5ckpOTAejcuTOTJ0/Gx8enXgu8EPVRERERaXpq8/u7Ti0qq1atYuDAgdx///2VtpeXl7Nq1SqGDBlSl9OKiIiIVFKnPirDhg0jKyuryvacnByGDRt2yUWJiIiIQB2DimEY2Gy2KttPnjyJn5/fJRclIiIiArW89XNmBmWbzcbUqVPx8vKq2OdwONi2bRsDBw6s3wpFRESk2apVUDkzg7JhGAQEBFTqOOvp6clVV11Vpd+KiIiISF3VKqi8+uqr+Pr6Eh8fz1NPPaXbPCIiItKgatVHJTw8nBtuuIEWLVqQl5fXUDWJiIiIALUMKrt372b06NF8+umnxMfH079/f1544QW2b9/eUPWJiIhIM1bnAd9ycnJYvHgxCxcu5NtvvyU0NJQbb7yRG2+8kaFDh2K32+u71io04JuIiEjT0+CTEoLZsfb222/n448/JjMzk9dffx2Hw8Hdd99NREQEc+fOreupRURERIBLaFG5kJ9//pny8nL69u1b36euRC0qIiIiTU+Dtai89NJLFBUVVayvXr2akpKSivW8vDweeeQRrrzyygYPKSIiInL5q1WLit1u5/jx40RGRgIQGBhIUlISbdu2BSA9PZ2YmBgcDkfDVPsralERERFpehqsReXXmaYB7hqJiIiIVKhzZ1oRERGRhqagIiIiIpZVqyH0Ad566y38/f0BKC8v57333iM8PBxAo9WKiIhIvapVZ9r4+HhsNttFj0tJSbmkompKnWlFRESantr8/q5Vi8rBgwcvpS4RERGRWqlVH5UffviBLl26kJubW2VfTk4OXbt25ccff6y34kRERKR5q1VQmT17Nvfff3+1zTRBQUE8+OCDvPLKK/VWnIiIiDRvtQoqW7du5brrrjvv/lGjRrF58+ZLLkpEREQEahlU0tPT8fDwOO9+d3d3MjMzL7koEREREahlUGnZsiU7duw47/5t27bRokWLSy5KREREBGoZVMaOHcszzzxDcXFxlX1FRUU899xz3HDDDfVWnIiIiDRvtRpHJT09nV69emG323n00Ufp2LEjAMnJybz66qs4HA62bNlCVFRUgxV8Lo2jIiIi0vQ02DgqUVFRrFmzhocffpgZM2ZUTEpos9kYPXo0r776aqOFFBEREbn81XoI/datW7N48WJOnTrFvn37MAyDhIQEQkJCGqI+ERERacZqHVTOCAkJoW/fvvVZi4iIiEglmj1ZRERELEtBRURERCxLQUVEREQsy6VBZdasWfTt25eAgAAiIyOZMGECe/bscWVJIiIiYiEuDSqJiYlMmzaNdevWsWzZMsrKyhg1ahQFBQWuLEtEREQsolYDvjW0zMxMIiMjSUxMZMiQIRc9XgO+iYiIND0NNuBbQ8vJyQEgNDS02v0lJSWUlJRUrOfm5jZKXSIiIuIalulM63Q6eeKJJxg0aBDdunWr9phZs2YRFBRUscTGxjZylSIiItKYLHPr5+GHH2bJkiX89NNPtGrVqtpjqmtRiY2N1a0fERGRJqTJ3fp59NFH+eabb1i1atV5QwqAl5cXXl5ejViZiIiIuJJLg4phGDz22GN88cUXrFy5kjZt2riyHBEREbEYlwaVadOmMW/ePBYuXEhAQABpaWkABAUF4ePj48rSRERExAJc2kfFZrNVu/3dd99l6tSpF/28Hk8WERFpeppMHxWL9OMVERERi7LM48kiIiIiv6agIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIilqWgIiIiIpaloCIiIiKWpaAiIiIiluXSoLJq1SrGjRtHTEwMNpuNL7/80pXliIiIiMW4NKgUFBTQs2dPXn31VVeWISIiIhbl7sovHzNmDGPGjHFlCSIiImJhLg0qtVVSUkJJSUnFem5urgurERERkYbWpDrTzpo1i6CgoIolNjbW1SWJiIhIA2pSQWXGjBnk5ORULKmpqa4uSURERBpQk7r14+XlhZeXl6vLEBERkUbSpFpUREREpHlxaYtKfn4++/btq1hPSUkhKSmJ0NBQ4uLiXFiZiIiIWIFLg8qmTZsYNmxYxfr06dMBmDJlCu+9956LqhIRERGrcGlQueaaazAMw5UliIiIiIWpj4qIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYliWCyquvvkp8fDze3t7079+fDRs2uLokERERsQCXB5VPPvmE6dOn89xzz7FlyxZ69uzJ6NGjycjIcHVpIiIi4mIuDyqvvPIK999/P3fffTddunThtddew9fXl3feecfVpYmIiIiLubvyy0tLS9m8eTMzZsyo2Obm5sbIkSNZu3ZtleNLSkooKSmpWM/JyQEgNze34YsVERGRenHm97ZhGBc91qVB5cSJEzgcDqKioiptj4qKIjk5ucrxs2bNYubMmVW2x8bGNliNIiIi0jDy8vIICgq64DEuDSq1NWPGDKZPn16x7nQ6ycrKIiwsDJvNVq/flZubS2xsLKmpqQQGBtbruaV+6BpZm66P9ekaWd/leo0MwyAvL4+YmJiLHuvSoBIeHo7dbic9Pb3S9vT0dKKjo6sc7+XlhZeXV6VtwcHBDVkigYGBl9V/HJcjXSNr0/WxPl0j67scr9HFWlLOcGlnWk9PT3r37s3y5csrtjmdTpYvX86AAQNcWJmIiIhYgctv/UyfPp0pU6bQp08f+vXrx+zZsykoKODuu+92dWkiIiLiYi4PKr/5zW/IzMzk2WefJS0tjSuuuIJvv/22Sgfbxubl5cVzzz1X5VaTWIeukbXp+lifrpH16RqBzajJs0EiIiIiLuDyAd9EREREzkdBRURERCxLQUVEREQsS0FFRERELEtBpRqvvvoq8fHxeHt7079/fzZs2ODqkpqtVatWMW7cOGJiYrDZbHz55ZeV9huGwbPPPkuLFi3w8fFh5MiR7N271zXFNlOzZs2ib9++BAQEEBkZyYQJE9izZ0+lY4qLi5k2bRphYWH4+/szceLEKgM9SsOZM2cOPXr0qBg0bMCAASxZsqRiv66Ptbz44ovYbDaeeOKJim3N+RopqPzKJ598wvTp03nuuefYsmULPXv2ZPTo0WRkZLi6tGapoKCAnj178uqrr1a7/6WXXuIf//gHr732GuvXr8fPz4/Ro0dTXFzcyJU2X4mJiUybNo1169axbNkyysrKGDVqFAUFBRXH/O53v+Prr79m/vz5JCYmcuzYMW6++WYXVt28tGrVihdffJHNmzezadMmhg8fzvjx49m5cyeg62MlGzdu5PXXX6dHjx6Vtjfra2RIJf369TOmTZtWse5wOIyYmBhj1qxZLqxKDMMwAOOLL76oWHc6nUZ0dLTx8ssvV2zLzs42vLy8jI8++sgFFYphGEZGRoYBGImJiYZhmNfEw8PDmD9/fsUxu3fvNgBj7dq1riqz2QsJCTHeeustXR8LycvLMxISEoxly5YZQ4cONR5//HHDMPR3SC0q5ygtLWXz5s2MHDmyYpubmxsjR45k7dq1LqxMqpOSkkJaWlql6xUUFET//v11vVwoJycHgNDQUAA2b95MWVlZpevUqVMn4uLidJ1cwOFw8PHHH1NQUMCAAQN0fSxk2rRpXH/99ZWuBejvkMtHprWSEydO4HA4qoyKGxUVRXJysouqkvNJS0sDqPZ6ndknjcvpdPLEE08waNAgunXrBpjXydPTs8oEorpOjWv79u0MGDCA4uJi/P39+eKLL+jSpQtJSUm6Phbw8ccfs2XLFjZu3FhlX3P/O6SgIiL1Ztq0aezYsYOffvrJ1aXIr3Ts2JGkpCRycnJYsGABU6ZMITEx0dVlCZCamsrjjz/OsmXL8Pb2dnU5lqNbP+cIDw/HbrdX6Umdnp5OdHS0i6qS8zlzTXS9rOHRRx/lm2++YcWKFbRq1apie3R0NKWlpWRnZ1c6XtepcXl6etK+fXt69+7NrFmz6NmzJ//3f/+n62MBmzdvJiMjg169euHu7o67uzuJiYn84x//wN3dnaioqGZ9jRRUzuHp6Unv3r1Zvnx5xTan08ny5csZMGCACyuT6rRp04bo6OhK1ys3N5f169frejUiwzB49NFH+eKLL/jhhx9o06ZNpf29e/fGw8Oj0nXas2cPhw8f1nVyIafTSUlJia6PBYwYMYLt27eTlJRUsfTp04fJkydXvG/O10i3fn5l+vTpTJkyhT59+tCvXz9mz55NQUEBd999t6tLa5by8/PZt29fxXpKSgpJSUmEhoYSFxfHE088wf/8z/+QkJBAmzZteOaZZ4iJiWHChAmuK7qZmTZtGvPmzWPhwoUEBARU3DMPCgrCx8eHoKAg7r33XqZPn05oaCiBgYE89thjDBgwgKuuusrF1TcPM2bMYMyYMcTFxZGXl8e8efNYuXIlS5cu1fWxgICAgIo+XWf4+fkRFhZWsb1ZXyNXP3ZkRf/85z+NuLg4w9PT0+jXr5+xbt06V5fUbK1YscIAqixTpkwxDMN8RPmZZ54xoqKiDC8vL2PEiBHGnj17XFt0M1Pd9QGMd999t+KYoqIi45FHHjFCQkIMX19f46abbjKOHz/uuqKbmXvuucdo3bq14enpaURERBgjRowwvvvuu4r9uj7Wc+7jyYbRvK+RzTAMw0UZSUREROSC1EdFRERELEtBRURERCxLQUVEREQsS0FFRERELEtBRURERCxLQUVEREQsS0FFRERELEtBRURERCxLQUVEmhybzcaXX37p6jJEpBEoqIhIjU2dOhWbzVZlue6661xdWq1s3LiRmJgYAI4dO4aPjw+lpaUurkpEqqNJCUWkVq677jrefffdStu8vLxcVE3drF27lkGDBgHw448/0qdPHzw9PV1clYhURy0qIlIrXl5eREdHV1pCQkIq9ttsNubMmcOYMWPw8fGhbdu2LFiwoNI5tm/fzvDhw/Hx8SEsLIwHHniA/Pz8Sse88847dO3aFS8vL1q0aMGjjz5aaf+JEye46aab8PX1JSEhga+++qrGP8OaNWsqgspPP/1U8V5ErEdBRUTq3TPPPMPEiRPZunUrkydP5rbbbmP37t0AFBQUMHr0aEJCQti4cSPz58/n+++/rxRE5syZw7Rp03jggQfYvn07X331Fe3bt6/0HTNnzuTWW29l27ZtjB07lsmTJ5OVlXXemn766SeCg4MJDg5mwYIF/OlPfyI4OJjXXnuNf/zjHwQHB/Piiy82zB+IiNSdq6dvFpGmY8qUKYbdbjf8/PwqLS+88ELFMYDx0EMPVfpc//79jYcfftgwDMN44403jJCQECM/P79i/6JFiww3NzcjLS3NMAzDiImJMf70pz+dtw7A+O///u+K9fz8fAMwlixZct7PFBUVGSkpKcaSJUuMkJAQ48CBA8amTZsMT09PY/fu3UZKSopx6tSpWv15iEjDUx8VEamVYcOGMWfOnErbQkNDK60PGDCgynpSUhIAu3fvpmfPnvj5+VXsHzRoEE6nkz179mCz2Th27BgjRoy4YB09evSoeO/n50dgYCAZGRnnPd7b25v4+Hg+/fRTxowZQ5s2bVizZg2DBw+mU6dOF/wuEXEdBRURqRU/P78qt2Hqk4+PT42O8/DwqLRus9lwOp3nPd7f3x+AkpIS3NzcWLhwIaWlpRiGgb+/P4MHD2bJkiV1L1xEGoT6qIhIvVu3bl2V9c6dOwPQuXNntm7dSkFBQcX+1atX4+bmRseOHQkICCA+Pp7ly5fXa01JSUls2rQJu93O8uXLSUpKIiwsjE8//ZSkpCTeeuutev0+EakfalERkVopKSkhLS2t0jZ3d3fCw8Mr1ufPn0+fPn24+uqrmTt3Lhs2bODtt98GYPLkyTz33HNMmTKF559/nszMTB577DHuuusuoqKiAHj++ed56KGHiIyMZMyYMeTl5bF69Woee+yxOtfdvn171q1bR1RUFFdffTWHDx8mLy+PcePG4e6ufwpFrEp/O0WkVr799ltatGhRaVvHjh1JTk6uWJ85cyYff/wxjzzyCC1atOCjjz6iS5cuAPj6+rJ06VIef/xx+vbti6+vLxMnTuSVV16p+PyUKVMoLi7mf//3f3nqqacIDw/nlltuueTaV65cyZAhQwBITExkwIABCikiFmczDMNwdREicvmw2Wx88cUXTJgwwdWliMhlQH1URERExLIUVERERMSydHNWROqV7iaLSH1Si4qIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWJaCioiIiFiWgoqIiIhYloKKiIiIWNb/D6lWayRlkIOSAAAAAElFTkSuQmCC",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(history.history['loss'], label='loss')\n",
"plt.plot(history.history['val_loss'], label='val_loss')\n",
"plt.ylim([0, max(plt.ylim())])\n",
"plt.xlabel('Epoch #')\n",
"plt.ylabel('CE/token')\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:36.493506Z",
"iopub.status.busy": "2024-01-11T19:19:36.493270Z",
"iopub.status.idle": "2024-01-11T19:19:36.650038Z",
"shell.execute_reply": "2024-01-11T19:19:36.649445Z"
},
"id": "yZQ78b2Kxw-T"
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(history.history['masked_acc'], label='accuracy')\n",
"plt.plot(history.history['val_masked_acc'], label='val_accuracy')\n",
"plt.ylim([0, max(plt.ylim())])\n",
"plt.xlabel('Epoch #')\n",
"plt.ylabel('CE/token')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "SQN1qT7KNqbL"
},
"source": [
"## アテンションプロット"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "E9XJaC2b2J23"
},
"source": [
"次に、トレーニング済みのモデルを使用して、画像に `simple_gen` メソッドを実行します。"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:36.653228Z",
"iopub.status.busy": "2024-01-11T19:19:36.652854Z",
"iopub.status.idle": "2024-01-11T19:19:37.300792Z",
"shell.execute_reply": "2024-01-11T19:19:37.300134Z"
},
"id": "1UQPtNTb2eu3"
},
"outputs": [
{
"data": {
"text/plain": [
"'a man in a red wetsuit is surfing'"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = model.simple_gen(image, temperature=0.0)\n",
"result"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7NXbmeLGN1bJ"
},
"source": [
"出力をトークンに分割し直します。"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.304461Z",
"iopub.status.busy": "2024-01-11T19:19:37.303746Z",
"iopub.status.idle": "2024-01-11T19:19:37.307220Z",
"shell.execute_reply": "2024-01-11T19:19:37.306632Z"
},
"id": "zHKOpm0w5Xto"
},
"outputs": [],
"source": [
"str_tokens = result.split()\n",
"str_tokens.append('[END]')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "fE-AjuAV55Qo"
},
"source": [
"`DecoderLayers` はそれぞれ、`CrossAttention` レイヤーのアテンションスコアをキャッシュします。各アテンションマップの形状は `(batch=1, heads, sequence, image)` です。"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.310357Z",
"iopub.status.busy": "2024-01-11T19:19:37.309844Z",
"iopub.status.idle": "2024-01-11T19:19:37.314315Z",
"shell.execute_reply": "2024-01-11T19:19:37.313698Z"
},
"id": "XZpyuQvq2q-B"
},
"outputs": [
{
"data": {
"text/plain": [
"[TensorShape([1, 2, 9, 49]), TensorShape([1, 2, 9, 49])]"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"attn_maps = [layer.last_attention_scores for layer in model.decoder_layers]\n",
"[map.shape for map in attn_maps]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "T42ImsWv6oHG"
},
"source": [
"したがって、`batch` 軸に沿ってマップをスタックし、`(batch, heads)` 軸で平均しながら、`image` 軸を `height, width` に分割し直します。\n"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.317504Z",
"iopub.status.busy": "2024-01-11T19:19:37.316985Z",
"iopub.status.idle": "2024-01-11T19:19:37.324517Z",
"shell.execute_reply": "2024-01-11T19:19:37.323873Z"
},
"id": "ojwtvnkh6mS-"
},
"outputs": [],
"source": [
"attention_maps = tf.concat(attn_maps, axis=0)\n",
"attention_maps = einops.reduce(\n",
" attention_maps,\n",
" 'batch heads sequence (height width) -> sequence height width',\n",
" height=7, width=7,\n",
" reduction='mean')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4TM7rA3zGpJW"
},
"source": [
"シーケンス予測ごとに、多につのアテンションマップを得られました。各マップの値の和は `1` になります。"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.327647Z",
"iopub.status.busy": "2024-01-11T19:19:37.327287Z",
"iopub.status.idle": "2024-01-11T19:19:37.332988Z",
"shell.execute_reply": "2024-01-11T19:19:37.332433Z"
},
"id": "ASWmWerGCZp3"
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"einops.reduce(attention_maps, 'sequence height width -> sequence', reduction='sum')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "fv7XYGFUd-U7"
},
"source": [
"したがって、出力の各トークンを生成する際にモデルが注意を向けていた場所は以下です。"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.336302Z",
"iopub.status.busy": "2024-01-11T19:19:37.335726Z",
"iopub.status.idle": "2024-01-11T19:19:37.340570Z",
"shell.execute_reply": "2024-01-11T19:19:37.339987Z"
},
"id": "fD_y7PD6RPGt"
},
"outputs": [],
"source": [
"def plot_attention_maps(image, str_tokens, attention_map):\n",
" fig = plt.figure(figsize=(16, 9))\n",
"\n",
" len_result = len(str_tokens)\n",
" \n",
" titles = []\n",
" for i in range(len_result):\n",
" map = attention_map[i]\n",
" grid_size = max(int(np.ceil(len_result/2)), 2)\n",
" ax = fig.add_subplot(3, grid_size, i+1)\n",
" titles.append(ax.set_title(str_tokens[i]))\n",
" img = ax.imshow(image)\n",
" ax.imshow(map, cmap='gray', alpha=0.6, extent=img.get_extent(),\n",
" clim=[0.0, np.max(map)])\n",
"\n",
" plt.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:37.343361Z",
"iopub.status.busy": "2024-01-11T19:19:37.343001Z",
"iopub.status.idle": "2024-01-11T19:19:38.923337Z",
"shell.execute_reply": "2024-01-11T19:19:38.922669Z"
},
"id": "PI4NAAws9rvY"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_attention_maps(image/255, str_tokens, attention_maps)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "riTz0abQKMkV"
},
"source": [
"次に、これをより使いやすい関数にまとめます。"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:38.934413Z",
"iopub.status.busy": "2024-01-11T19:19:38.933915Z",
"iopub.status.idle": "2024-01-11T19:19:38.939096Z",
"shell.execute_reply": "2024-01-11T19:19:38.938504Z"
},
"id": "mktpfW-SKQIJ"
},
"outputs": [],
"source": [
"@Captioner.add_method\n",
"def run_and_show_attention(self, image, temperature=0.0):\n",
" result_txt = self.simple_gen(image, temperature)\n",
" str_tokens = result_txt.split()\n",
" str_tokens.append('[END]')\n",
"\n",
" attention_maps = [layer.last_attention_scores for layer in self.decoder_layers]\n",
" attention_maps = tf.concat(attention_maps, axis=0)\n",
" attention_maps = einops.reduce(\n",
" attention_maps,\n",
" 'batch heads sequence (height width) -> sequence height width',\n",
" height=7, width=7,\n",
" reduction='mean')\n",
" \n",
" plot_attention_maps(image/255, str_tokens, attention_maps)\n",
" t = plt.suptitle(result_txt)\n",
" t.set_y(1.05)\n"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:38.942198Z",
"iopub.status.busy": "2024-01-11T19:19:38.941778Z",
"iopub.status.idle": "2024-01-11T19:19:41.201585Z",
"shell.execute_reply": "2024-01-11T19:19:41.200894Z"
},
"id": "FntRkY11OiMw"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"run_and_show_attention(model, image)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Rprk3HEvZuxb"
},
"source": [
"## あなた独自の画像でためそう\n",
"\n",
"トレーニングしたばかりのモデルで独自の画像にキャプションを付ける方法を以下に示します。比較的少量のデータでトレーニングされているので、使用する画像がトレーニングデータと異なることがあることに注意してください（奇妙な結果がでるかもしれません！）\n"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T19:19:41.212408Z",
"iopub.status.busy": "2024-01-11T19:19:41.212070Z",
"iopub.status.idle": "2024-01-11T19:19:43.292865Z",
"shell.execute_reply": "2024-01-11T19:19:43.292169Z"
},
"id": "9Psd1quzaAWg"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://tensorflow.org/images/bedroom_hrnet_tutorial.jpg\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/67460 [==>...........................] - ETA: 0s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"67460/67460 [==============================] - 0s 0us/step\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"image_url = 'https://tensorflow.org/images/bedroom_hrnet_tutorial.jpg'\n",
"image_path = tf.keras.utils.get_file(origin=image_url)\n",
"image = load_image(image_path)\n",
"\n",
"run_and_show_attention(model, image)"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [],
"name": "image_captioning.ipynb",
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.18"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
![](\"https://www.tensorflow.org/images/tf_logo_32px.png\"){kind=logo}
TensorFlow.org で表示![](\"https://www.tensorflow.org/images/colab_logo_32px.png\"){kind=logo}
Google Colab で実行![](\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\")
GitHub でソースを表示![](\"https://www.tensorflow.org/images/download_logo_32px.png\"){kind=logo}
ノートブックをダウンロード![](\"https://tensorflow.org/images/surf.jpg\")
![](\"https://tensorflow.org/images/tutorials/transformer/ImageCaptioning.png\")
![](\"https://www.tensorflow.org/images/tutorials/transformer/Transformer-1layer-words.png\"){kind=spacer}
![wikimedia](\"https://commons.wikimedia.org/wiki/Surfing#/media/File:Surfing_in_Hawaii.jpg\"){kind=link}