{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "Ic4_occAAiAT"
},
"source": [
"##### Copyright 2019 The TensorFlow Authors."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"cellView": "form",
"execution": {
"iopub.execute_input": "2024-01-11T21:41:16.820734Z",
"iopub.status.busy": "2024-01-11T21:41:16.820116Z",
"iopub.status.idle": "2024-01-11T21:41:16.823955Z",
"shell.execute_reply": "2024-01-11T21:41:16.823407Z"
},
"id": "ioaprt5q5US7"
},
"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": "code",
"execution_count": 2,
"metadata": {
"cellView": "form",
"execution": {
"iopub.execute_input": "2024-01-11T21:41:16.826945Z",
"iopub.status.busy": "2024-01-11T21:41:16.826700Z",
"iopub.status.idle": "2024-01-11T21:41:16.830349Z",
"shell.execute_reply": "2024-01-11T21:41:16.829712Z"
},
"id": "yCl0eTNH5RS3"
},
"outputs": [],
"source": [
"#@title MIT License\n",
"#\n",
"# Copyright (c) 2017 François Chollet\n",
"#\n",
"# Permission is hereby granted, free of charge, to any person obtaining a\n",
"# copy of this software and associated documentation files (the \"Software\"),\n",
"# to deal in the Software without restriction, including without limitation\n",
"# the rights to use, copy, modify, merge, publish, distribute, sublicense,\n",
"# and/or sell copies of the Software, and to permit persons to whom the\n",
"# Software is furnished to do so, subject to the following conditions:\n",
"#\n",
"# The above copyright notice and this permission notice shall be included in\n",
"# all copies or substantial portions of the Software.\n",
"#\n",
"# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
"# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
"# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL\n",
"# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
"# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n",
"# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER\n",
"# DEALINGS IN THE SOFTWARE."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ItXfxkxvosLH"
},
"source": [
"# 映画レビューのテキスト分類"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hKY4XMc9o8iB"
},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Eg62Pmz3o83v"
},
"source": [
"このチュートリアルでは、ディスクに保存されているプレーンテキストファイルを使用してテキストを分類する方法について説明します。IMDB データセットでセンチメント分析を実行するように、二項分類器をトレーニングします。ノートブックの最後には、Stack Overflow のプログラミングに関する質問のタグを予測するためのマルチクラス分類器をトレーニングする演習があります。\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:16.833920Z",
"iopub.status.busy": "2024-01-11T21:41:16.833393Z",
"iopub.status.idle": "2024-01-11T21:41:19.469425Z",
"shell.execute_reply": "2024-01-11T21:41:19.468616Z"
},
"id": "8RZOuS9LWQvv"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 21:41:17.595673: 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 21:41:17.595719: 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 21:41:17.597304: 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": [
"import matplotlib.pyplot as plt\n",
"import os\n",
"import re\n",
"import shutil\n",
"import string\n",
"import tensorflow as tf\n",
"\n",
"from tensorflow.keras import layers\n",
"from tensorflow.keras import losses\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:19.473590Z",
"iopub.status.busy": "2024-01-11T21:41:19.472927Z",
"iopub.status.idle": "2024-01-11T21:41:19.476748Z",
"shell.execute_reply": "2024-01-11T21:41:19.476172Z"
},
"id": "6-tTFS04dChr"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.15.0\n"
]
}
],
"source": [
"print(tf.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NBTI1bi8qdFV"
},
"source": [
"## センチメント分析\n",
"\n",
"このノートブックでは、映画レビューのテキストを使用して、それが*肯定的*であるか*否定的*であるかに分類するようにセンチメント分析モデルをトレーニングします。これは*二項*分類の例で、機械学習問題では重要な分類法として広く適用されます。\n",
"\n",
"ここでは、[Internet Movie Database](https://ai.stanford.edu/~amaas/data/sentiment/) から抽出した 50,000 件の映画レビューを含む、[大規模なレビューデータセット](https://www.imdb.com/)を使います。レビューはトレーニング用とテスト用に 25,000 件ずつに分割されています。トレーニング用とテスト用のデータは均衡 しています。言い換えると、それぞれが同数の肯定的及び否定的なレビューを含んでいます。\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "iAsKG535pHep"
},
"source": [
"### IMDB データセットをダウンロードして調べる\n",
"\n",
"データセットをダウンロードして抽出してから、ディレクトリ構造を調べてみましょう。"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:19.480404Z",
"iopub.status.busy": "2024-01-11T21:41:19.479766Z",
"iopub.status.idle": "2024-01-11T21:41:42.515097Z",
"shell.execute_reply": "2024-01-11T21:41:42.514322Z"
},
"id": "k7ZYnuajVlFN"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/84125825 [..............................] - 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\r",
" 40960/84125825 [..............................] - ETA: 3:17"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 106496/84125825 [..............................] - ETA: 2:31"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 188416/84125825 [..............................] - ETA: 2:08"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 303104/84125825 [..............................] - ETA: 1:44"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 385024/84125825 [..............................] - ETA: 1:34"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 548864/84125825 [..............................] - ETA: 1:19"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 679936/84125825 [..............................] - ETA: 1:10"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 892928/84125825 [..............................] - ETA: 1:02"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 1056768/84125825 [..............................] - ETA: 56s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 1335296/84125825 [..............................] - ETA: 50s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 1564672/84125825 [..............................] - ETA: 45s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 1933312/84125825 [..............................] - ETA: 38s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 2236416/84125825 [..............................] - ETA: 36s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 2596864/84125825 [..............................] - ETA: 33s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3088384/84125825 [>.............................] - ETA: 29s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3563520/84125825 [>.............................] - ETA: 27s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4038656/84125825 [>.............................] - ETA: 24s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4694016/84125825 [>.............................] - ETA: 22s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5332992/84125825 [>.............................] - ETA: 20s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5955584/84125825 [=>............................] - ETA: 18s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6651904/84125825 [=>............................] - ETA: 17s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7512064/84125825 [=>............................] - ETA: 15s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8265728/84125825 [=>............................] - ETA: 14s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9150464/84125825 [==>...........................] - ETA: 13s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"10100736/84125825 [==>...........................] - ETA: 12s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"11247616/84125825 [===>..........................] - ETA: 11s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"12296192/84125825 [===>..........................] - ETA: 10s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"13508608/84125825 [===>..........................] - ETA: 10s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"14688256/84125825 [====>.........................] - ETA: 9s "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"16187392/84125825 [====>.........................] - ETA: 8s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"17457152/84125825 [=====>........................] - ETA: 7s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"18915328/84125825 [=====>........................] - ETA: 7s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"20504576/84125825 [======>.......................] - ETA: 6s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"22077440/84125825 [======>.......................] - ETA: 6s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"24010752/84125825 [=======>......................] - ETA: 5s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"25739264/84125825 [========>.....................] - ETA: 5s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"27598848/84125825 [========>.....................] - ETA: 4s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"29450240/84125825 [=========>....................] - ETA: 4s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"31629312/84125825 [==========>...................] - ETA: 4s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"33775616/84125825 [===========>..................] - ETA: 3s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"36216832/84125825 [===========>..................] - ETA: 3s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"38412288/84125825 [============>.................] - ETA: 3s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"40804352/84125825 [=============>................] - ETA: 2s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"43483136/84125825 [==============>...............] - ETA: 2s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"45981696/84125825 [===============>..............] - ETA: 2s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"48996352/84125825 [================>.............] - ETA: 2s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"51650560/84125825 [=================>............] - ETA: 1s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"54730752/84125825 [==================>...........] - ETA: 1s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"58007552/84125825 [===================>..........] - ETA: 1s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"61317120/84125825 [====================>.........] - ETA: 1s"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"64512000/84125825 [======================>.......] - 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\r",
"67706880/84125825 [=======================>......] - 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\r",
"70721536/84125825 [========================>.....] - 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\r",
"73867264/84125825 [=========================>....] - 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\r",
"76931072/84125825 [==========================>...] - 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\r",
"80060416/84125825 [===========================>..] - 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\r",
"83296256/84125825 [============================>.] - 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\r",
"84125825/84125825 [==============================] - 4s 0us/step\n"
]
}
],
"source": [
"url = \"https://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz\"\n",
"\n",
"dataset = tf.keras.utils.get_file(\"aclImdb_v1\", url,\n",
" untar=True, cache_dir='.',\n",
" cache_subdir='')\n",
"\n",
"dataset_dir = os.path.join(os.path.dirname(dataset), 'aclImdb')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:42.519032Z",
"iopub.status.busy": "2024-01-11T21:41:42.518754Z",
"iopub.status.idle": "2024-01-11T21:41:42.525898Z",
"shell.execute_reply": "2024-01-11T21:41:42.525305Z"
},
"id": "355CfOvsV1pl"
},
"outputs": [
{
"data": {
"text/plain": [
"['train', 'test', 'imdb.vocab', 'imdbEr.txt', 'README']"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.listdir(dataset_dir)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:42.528981Z",
"iopub.status.busy": "2024-01-11T21:41:42.528746Z",
"iopub.status.idle": "2024-01-11T21:41:42.533461Z",
"shell.execute_reply": "2024-01-11T21:41:42.532846Z"
},
"id": "7ASND15oXpF1"
},
"outputs": [
{
"data": {
"text/plain": [
"['neg',\n",
" 'pos',\n",
" 'unsup',\n",
" 'urls_pos.txt',\n",
" 'labeledBow.feat',\n",
" 'unsupBow.feat',\n",
" 'urls_neg.txt',\n",
" 'urls_unsup.txt']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_dir = os.path.join(dataset_dir, 'train')\n",
"os.listdir(train_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ysMNMI1CWDFD"
},
"source": [
"`aclImdb/train/pos` および `aclImdb/train/neg` ディレクトリには多くのテキストファイルが含まれており、それぞれが 1 つの映画レビューです。それらの 1 つを見てみましょう。"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:42.536692Z",
"iopub.status.busy": "2024-01-11T21:41:42.536459Z",
"iopub.status.idle": "2024-01-11T21:41:42.540343Z",
"shell.execute_reply": "2024-01-11T21:41:42.539776Z"
},
"id": "R7g8hFvzWLIZ"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Rachel Griffiths writes and directs this award winning short film. A heartwarming story about coping with grief and cherishing the memory of those we've loved and lost. Although, only 15 minutes long, Griffiths manages to capture so much emotion and truth onto film in the short space of time. Bud Tingwell gives a touching performance as Will, a widower struggling to cope with his wife's death. Will is confronted by the harsh reality of loneliness and helplessness as he proceeds to take care of Ruth's pet cow, Tulip. The film displays the grief and responsibility one feels for those they have loved and lost. Good cinematography, great direction, and superbly acted. It will bring tears to all those who have lost a loved one, and survived.\n"
]
}
],
"source": [
"sample_file = os.path.join(train_dir, 'pos/1181_9.txt')\n",
"with open(sample_file) as f:\n",
" print(f.read())"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Mk20TEm6ZRFP"
},
"source": [
"### データセットを読み込む\n",
"\n",
"次に、データをディスクから読み込み、トレーニングに適した形式に準備します。これを行うには、便利な [text_dataset_from_directory](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory) ユーティリティを使用します。このユーティリティは、次のようなディレクトリ構造を想定しています。\n",
"\n",
"```\n",
"main_directory/\n",
"...class_a/\n",
"......a_text_1.txt\n",
"......a_text_2.txt\n",
"...class_b/\n",
"......b_text_1.txt\n",
"......b_text_2.txt\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nQauv38Lnok3"
},
"source": [
"二項分類用のデータセットを準備するには、ディスクに `class_a` および `class_b`に対応する 2 つのフォルダが必要です。これらは、`aclImdb/train/pos` および `aclImdb/train/neg` にある肯定的および否定的な映画レビューになります。IMDB データセットには追加のフォルダーが含まれているため、このユーティリティを使用する前にそれらを削除します。"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:42.543644Z",
"iopub.status.busy": "2024-01-11T21:41:42.543423Z",
"iopub.status.idle": "2024-01-11T21:41:43.348207Z",
"shell.execute_reply": "2024-01-11T21:41:43.347456Z"
},
"id": "VhejsClzaWfl"
},
"outputs": [],
"source": [
"remove_dir = os.path.join(train_dir, 'unsup')\n",
"shutil.rmtree(remove_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "95kkUdRoaeMw"
},
"source": [
"次に、`text_dataset_from_directory` ユーティリティを使用して、ラベル付きの `tf.data.Dataset` を作成します。[tf.data](https://www.tensorflow.org/guide/data) は、データを操作するための強力なツールのコレクションです。\n",
"\n",
"機械学習実験を実行するときは、データセットを[トレーニング](https://developers.google.com/machine-learning/glossary#training_set)、[検証](https://developers.google.com/machine-learning/glossary#validation_set)、および、[テスト](https://developers.google.com/machine-learning/glossary#test-set)の 3 つに分割することをお勧めします。\n",
"\n",
"IMDB データセットはすでにトレーニング用とテスト用に分割されていますが、検証セットはありません。以下の `validation_split` 引数を使用して、トレーニングデータの 80:20 分割を使用して検証セットを作成しましょう。"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:43.352431Z",
"iopub.status.busy": "2024-01-11T21:41:43.352109Z",
"iopub.status.idle": "2024-01-11T21:41:47.767643Z",
"shell.execute_reply": "2024-01-11T21:41:47.766895Z"
},
"id": "nOrK-MTYaw3C"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 25000 files belonging to 2 classes.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using 20000 files for training.\n"
]
}
],
"source": [
"batch_size = 32\n",
"seed = 42\n",
"\n",
"raw_train_ds = tf.keras.utils.text_dataset_from_directory(\n",
" 'aclImdb/train', \n",
" batch_size=batch_size, \n",
" validation_split=0.2, \n",
" subset='training', \n",
" seed=seed)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5Y33oxOUpYkh"
},
"source": [
"上記のように、トレーニングフォルダには 25,000 の例があり、そのうち 80％ (20,000) をトレーニングに使用します。以下に示すとおり、データセットを `model.fit` に直接渡すことで、モデルをトレーニングできます。`tf.data` を初めて使用する場合は、データセットを繰り返し処理して、次のようにいくつかの例を出力することもできます。"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:47.771874Z",
"iopub.status.busy": "2024-01-11T21:41:47.771596Z",
"iopub.status.idle": "2024-01-11T21:41:47.807914Z",
"shell.execute_reply": "2024-01-11T21:41:47.807199Z"
},
"id": "51wNaPPApk1K"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Review b'\"Pandemonium\" is a horror movie spoof that comes off more stupid than funny. Believe me when I tell you, I love comedies. Especially comedy spoofs. \"Airplane\", \"The Naked Gun\" trilogy, \"Blazing Saddles\", \"High Anxiety\", and \"Spaceballs\" are some of my favorite comedies that spoof a particular genre. \"Pandemonium\" is not up there with those films. Most of the scenes in this movie had me sitting there in stunned silence because the movie wasn\\'t all that funny. There are a few laughs in the film, but when you watch a comedy, you expect to laugh a lot more than a few times and that\\'s all this film has going for it. Geez, \"Scream\" had more laughs than this film and that was more of a horror film. How bizarre is that?, )\n"
]
}
],
"source": [
"# retrieve a batch (of 32 reviews and labels) from the dataset\n",
"text_batch, label_batch = next(iter(raw_train_ds))\n",
"first_review, first_label = text_batch[0], label_batch[0]\n",
"print(\"Review\", first_review)\n",
"print(\"Label\", raw_train_ds.class_names[first_label])\n",
"print(\"Vectorized review\", vectorize_text(first_review, first_label))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6u5EX0hxyNZT"
},
"source": [
"上記のように、各トークンは整数に置き換えられています。レイヤーで `.get_vocabulary()` を呼び出すことにより、各整数が対応するトークン（文字列）を検索できます。"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.665319Z",
"iopub.status.busy": "2024-01-11T21:41:52.665046Z",
"iopub.status.idle": "2024-01-11T21:41:52.711025Z",
"shell.execute_reply": "2024-01-11T21:41:52.710441Z"
},
"id": "kRq9hTQzhVhW"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1287 ---> silent\n",
" 313 ---> night\n",
"Vocabulary size: 10000\n"
]
}
],
"source": [
"print(\"1287 ---> \",vectorize_layer.get_vocabulary()[1287])\n",
"print(\" 313 ---> \",vectorize_layer.get_vocabulary()[313])\n",
"print('Vocabulary size: {}'.format(len(vectorize_layer.get_vocabulary())))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XD2H6utRydGv"
},
"source": [
"モデルをトレーニングする準備がほぼ整いました。最後の前処理ステップとして、トレーニング、検証、およびデータセットのテストのために前に作成した TextVectorization レイヤーを適用します。"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.714369Z",
"iopub.status.busy": "2024-01-11T21:41:52.713990Z",
"iopub.status.idle": "2024-01-11T21:41:52.839166Z",
"shell.execute_reply": "2024-01-11T21:41:52.838575Z"
},
"id": "2zhmpeViI1iG"
},
"outputs": [],
"source": [
"train_ds = raw_train_ds.map(vectorize_text)\n",
"val_ds = raw_val_ds.map(vectorize_text)\n",
"test_ds = raw_test_ds.map(vectorize_text)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YsVQyPMizjuO"
},
"source": [
"### データセットを構成してパフォーマンスを改善する\n",
"\n",
"以下は、I/O がブロックされないようにするためにデータを読み込むときに使用する必要がある 2 つの重要な方法です。\n",
"\n",
"`.cache()` はデータをディスクから読み込んだ後、データをメモリに保持します。これにより、モデルのトレーニング中にデータセットがボトルネックになることを回避できます。データセットが大きすぎてメモリに収まらない場合は、この方法を使用して、パフォーマンスの高いオンディスクキャッシュを作成することもできます。これは、多くの小さなファイルを読み込むより効率的です。\n",
"\n",
"`.prefetch()` はトレーニング中にデータの前処理とモデルの実行をオーバーラップさせます。\n",
"\n",
"以上の 2 つの方法とデータをディスクにキャッシュする方法についての詳細は、[データパフォーマンスガイド](https://www.tensorflow.org/guide/data_performance)を参照してください。"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.842529Z",
"iopub.status.busy": "2024-01-11T21:41:52.842272Z",
"iopub.status.idle": "2024-01-11T21:41:52.853564Z",
"shell.execute_reply": "2024-01-11T21:41:52.852913Z"
},
"id": "wMcs_H7izm5m"
},
"outputs": [],
"source": [
"AUTOTUNE = tf.data.AUTOTUNE\n",
"\n",
"train_ds = train_ds.cache().prefetch(buffer_size=AUTOTUNE)\n",
"val_ds = val_ds.cache().prefetch(buffer_size=AUTOTUNE)\n",
"test_ds = test_ds.cache().prefetch(buffer_size=AUTOTUNE)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LLC02j2g-llC"
},
"source": [
"### モデルを作成する\n",
"\n",
"ニューラルネットワークを作成します。"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.856523Z",
"iopub.status.busy": "2024-01-11T21:41:52.856296Z",
"iopub.status.idle": "2024-01-11T21:41:52.859207Z",
"shell.execute_reply": "2024-01-11T21:41:52.858666Z"
},
"id": "dkQP6in8yUBR"
},
"outputs": [],
"source": [
"embedding_dim = 16"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.862321Z",
"iopub.status.busy": "2024-01-11T21:41:52.861730Z",
"iopub.status.idle": "2024-01-11T21:41:52.921460Z",
"shell.execute_reply": "2024-01-11T21:41:52.920854Z"
},
"id": "xpKOoWgu-llD"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"sequential\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Layer (type) Output Shape Param # \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================================================\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" embedding (Embedding) (None, None, 16) 160016 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dropout (Dropout) (None, None, 16) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" global_average_pooling1d ( (None, 16) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" GlobalAveragePooling1D) \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dropout_1 (Dropout) (None, 16) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dense (Dense) (None, 1) 17 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================================================\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total params: 160033 (625.13 KB)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Trainable params: 160033 (625.13 KB)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Non-trainable params: 0 (0.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n"
]
}
],
"source": [
"model = tf.keras.Sequential([\n",
" layers.Embedding(max_features + 1, embedding_dim),\n",
" layers.Dropout(0.2),\n",
" layers.GlobalAveragePooling1D(),\n",
" layers.Dropout(0.2),\n",
" layers.Dense(1)])\n",
"\n",
"model.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6PbKQ6mucuKL"
},
"source": [
"これらのレイヤーは、分類器を構成するため一列に積み重ねられます。\n",
"\n",
"1. 最初のレイヤーは `Embedding` （埋め込み）レイヤーです。このレイヤーは、整数にエンコードされた語彙を受け取り、それぞれの単語インデックスに対応する埋め込みベクトルを検索します。埋め込みベクトルは、モデルのトレーニングの中で学習されます。ベクトル化のために、出力行列には次元が１つ追加されます。その結果、次元は、`(batch, sequence, embedding)` となります。埋め込みの詳細については、[単語埋め込みチュートリアル](https://www.tensorflow.org/text/guide/word_embeddings)を参照してください。\n",
"2. 次は、`GlobalAveragePooling1D`（１次元のグローバル平均プーリング）レイヤーです。このレイヤーは、それぞれのサンプルについて、シーケンスの次元方向に平均値をもとめ、固定長のベクトルを返します。この結果、モデルは最も単純な形で、可変長の入力を扱うことができるようになります。\n",
"3. 最後のレイヤーは、単一の出力ノードと密に接続されています。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "L4EqVWg4-llM"
},
"source": [
"### 損失関数とオプティマイザ\n",
"\n",
"モデルをトレーニングするには、損失関数とオプティマイザが必要です。これは二項分類問題であり、モデルは確率（シグモイドアクティベーションを持つ単一ユニットレイヤー）を出力するため、`losses.BinaryCrossentropy` 損失関数を使用します。\n",
"\n",
"損失関数の候補はこれだけではありません。例えば、`mean_squared_error`（平均二乗誤差）を使うこともできます。しかし、一般的には、確率を扱うには`binary_crossentropy`の方が適しています。`binary_crossentropy`は、確率分布の間の「距離」を測定する尺度です。今回の場合には、真の分布と予測値の分布の間の距離ということになります。"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.929570Z",
"iopub.status.busy": "2024-01-11T21:41:52.929337Z",
"iopub.status.idle": "2024-01-11T21:41:52.946047Z",
"shell.execute_reply": "2024-01-11T21:41:52.945472Z"
},
"id": "Mr0GP-cQ-llN"
},
"outputs": [],
"source": [
"model.compile(loss=losses.BinaryCrossentropy(from_logits=True),\n",
" optimizer='adam',\n",
" metrics=tf.metrics.BinaryAccuracy(threshold=0.0))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "35jv_fzP-llU"
},
"source": [
"### モデルをトレーニングする\n",
"\n",
"`dataset` オブジェクトを fit メソッドに渡すことにより、モデルをトレーニングします。"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:41:52.949058Z",
"iopub.status.busy": "2024-01-11T21:41:52.948837Z",
"iopub.status.idle": "2024-01-11T21:42:56.708770Z",
"shell.execute_reply": "2024-01-11T21:42:56.707997Z"
},
"id": "tXSGrjWZ-llW"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/10\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"I0000 00:00:1705009314.868632 943769 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",
" 1/625 [..............................] - ETA: 21:58 - loss: 0.6933 - binary_accuracy: 0.5000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 2/625 [..............................] - ETA: 1:33 - loss: 0.6937 - binary_accuracy: 0.4844 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/625 [..............................] - ETA: 1:33 - loss: 0.6942 - binary_accuracy: 0.4896"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4/625 [..............................] - ETA: 1:33 - loss: 0.6942 - binary_accuracy: 0.4844"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/625 [..............................] - ETA: 1:33 - loss: 0.6945 - binary_accuracy: 0.4563"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6/625 [..............................] - ETA: 1:33 - loss: 0.6947 - binary_accuracy: 0.4427"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/625 [..............................] - ETA: 1:32 - loss: 0.6942 - binary_accuracy: 0.4598"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/625 [..............................] - ETA: 1:32 - loss: 0.6939 - binary_accuracy: 0.4805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/625 [..............................] - ETA: 1:32 - loss: 0.6938 - binary_accuracy: 0.4722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/625 [..............................] - ETA: 1:32 - loss: 0.6935 - binary_accuracy: 0.4906"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/625 [..............................] - ETA: 1:32 - loss: 0.6934 - binary_accuracy: 0.5000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/625 [..............................] - ETA: 1:32 - loss: 0.6932 - binary_accuracy: 0.5078"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/625 [..............................] - ETA: 1:32 - loss: 0.6932 - binary_accuracy: 0.5120"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/625 [..............................] - ETA: 1:32 - loss: 0.6929 - binary_accuracy: 0.5246"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/625 [..............................] - ETA: 1:31 - loss: 0.6929 - binary_accuracy: 0.5250"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/625 [..............................] - ETA: 1:31 - loss: 0.6930 - binary_accuracy: 0.5195"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/625 [..............................] - ETA: 1:31 - loss: 0.6929 - binary_accuracy: 0.5221"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1:31 - loss: 0.6929 - binary_accuracy: 0.5208"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/625 [..............................] - ETA: 1:31 - loss: 0.6928 - binary_accuracy: 0.5247"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/625 [>.............................] - ETA: 1:26 - loss: 0.6929 - binary_accuracy: 0.5179"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/625 [>.............................] - ETA: 1:26 - loss: 0.6927 - binary_accuracy: 0.5284"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/625 [>.............................] - ETA: 1:26 - loss: 0.6926 - binary_accuracy: 0.5367"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/625 [>.............................] - ETA: 1:26 - loss: 0.6925 - binary_accuracy: 0.5430"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/625 [>.............................] - ETA: 1:26 - loss: 0.6925 - binary_accuracy: 0.5400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/625 [>.............................] - ETA: 1:26 - loss: 0.6924 - binary_accuracy: 0.5409"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/625 [>.............................] - ETA: 1:26 - loss: 0.6923 - binary_accuracy: 0.5405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/625 [>.............................] - ETA: 1:26 - loss: 0.6923 - binary_accuracy: 0.5413"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/625 [>.............................] - ETA: 1:26 - loss: 0.6923 - binary_accuracy: 0.5409"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/625 [>.............................] - ETA: 1:26 - loss: 0.6922 - binary_accuracy: 0.5427"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/625 [>.............................] - ETA: 1:26 - loss: 0.6922 - binary_accuracy: 0.5403"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/625 [>.............................] - ETA: 1:26 - loss: 0.6921 - binary_accuracy: 0.5381"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/625 [>.............................] - ETA: 1:26 - loss: 0.6922 - binary_accuracy: 0.5369"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5339"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/625 [>.............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5347"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/625 [>.............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5363"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/625 [>.............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5312"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/625 [>.............................] - ETA: 1:23 - loss: 0.6923 - binary_accuracy: 0.5304"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/625 [>.............................] - ETA: 1:23 - loss: 0.6923 - binary_accuracy: 0.5297"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/625 [>.............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5305"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/625 [=>............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5320"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/625 [=>............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5298"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/625 [=>............................] - ETA: 1:23 - loss: 0.6922 - binary_accuracy: 0.5312"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/625 [=>............................] - ETA: 1:21 - loss: 0.6920 - binary_accuracy: 0.5360"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/625 [=>............................] - ETA: 1:21 - loss: 0.6920 - binary_accuracy: 0.5386"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/625 [=>............................] - ETA: 1:21 - loss: 0.6919 - binary_accuracy: 0.5417"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/625 [=>............................] - ETA: 1:21 - loss: 0.6919 - binary_accuracy: 0.5459"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/625 [=>............................] - ETA: 1:21 - loss: 0.6918 - binary_accuracy: 0.5481"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/625 [=>............................] - ETA: 1:21 - loss: 0.6918 - binary_accuracy: 0.5521"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1:21 - loss: 0.6917 - binary_accuracy: 0.5565"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5590"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5608"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5603"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5592"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5593"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/625 [=>............................] - ETA: 1:19 - loss: 0.6916 - binary_accuracy: 0.5577"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/625 [=>............................] - ETA: 1:19 - loss: 0.6915 - binary_accuracy: 0.5583"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/625 [=>............................] - ETA: 1:19 - loss: 0.6914 - binary_accuracy: 0.5589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/625 [=>............................] - ETA: 1:19 - loss: 0.6913 - binary_accuracy: 0.5605"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/625 [==>...........................] - ETA: 1:19 - loss: 0.6913 - binary_accuracy: 0.5605"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/625 [==>...........................] - ETA: 1:19 - loss: 0.6912 - binary_accuracy: 0.5596"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/625 [==>...........................] - ETA: 1:19 - loss: 0.6911 - binary_accuracy: 0.5601"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/625 [==>...........................] - ETA: 1:16 - loss: 0.6912 - binary_accuracy: 0.5565"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/625 [==>...........................] - ETA: 1:15 - loss: 0.6912 - binary_accuracy: 0.5549"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/625 [==>...........................] - ETA: 1:15 - loss: 0.6911 - binary_accuracy: 0.5546"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/625 [==>...........................] - ETA: 1:14 - loss: 0.6911 - binary_accuracy: 0.5535"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/625 [==>...........................] - ETA: 1:14 - loss: 0.6910 - binary_accuracy: 0.5541"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/625 [==>...........................] - ETA: 1:13 - loss: 0.6908 - binary_accuracy: 0.5563"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/625 [==>...........................] - ETA: 1:13 - loss: 0.6908 - binary_accuracy: 0.5552"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/625 [==>...........................] - ETA: 1:13 - loss: 0.6908 - binary_accuracy: 0.5525"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/625 [==>...........................] - ETA: 1:13 - loss: 0.6907 - binary_accuracy: 0.5534"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/625 [==>...........................] - ETA: 1:13 - loss: 0.6906 - binary_accuracy: 0.5535"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/625 [==>...........................] - ETA: 1:11 - loss: 0.6906 - binary_accuracy: 0.5505"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/625 [===>..........................] - ETA: 1:11 - loss: 0.6906 - binary_accuracy: 0.5506"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/625 [===>..........................] - ETA: 1:11 - loss: 0.6906 - binary_accuracy: 0.5496"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/625 [===>..........................] - ETA: 1:11 - loss: 0.6905 - binary_accuracy: 0.5505"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/625 [===>..........................] - ETA: 1:10 - loss: 0.6904 - binary_accuracy: 0.5501"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/625 [===>..........................] - ETA: 1:10 - loss: 0.6905 - binary_accuracy: 0.5478"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/625 [===>..........................] - ETA: 1:10 - loss: 0.6905 - binary_accuracy: 0.5472"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/625 [===>..........................] - ETA: 1:10 - loss: 0.6904 - binary_accuracy: 0.5470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/625 [===>..........................] - ETA: 1:09 - loss: 0.6904 - binary_accuracy: 0.5450"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/625 [===>..........................] - ETA: 1:07 - loss: 0.6905 - binary_accuracy: 0.5430"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/625 [===>..........................] - ETA: 1:06 - loss: 0.6903 - binary_accuracy: 0.5437"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"101/625 [===>..........................] - ETA: 1:05 - loss: 0.6904 - binary_accuracy: 0.5408"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/625 [===>..........................] - ETA: 1:05 - loss: 0.6904 - binary_accuracy: 0.5398"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/625 [===>..........................] - ETA: 1:04 - loss: 0.6903 - binary_accuracy: 0.5400"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/625 [====>.........................] - ETA: 1:04 - loss: 0.6903 - binary_accuracy: 0.5405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"107/625 [====>.........................] - ETA: 1:03 - loss: 0.6902 - binary_accuracy: 0.5394"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"108/625 [====>.........................] - ETA: 1:03 - loss: 0.6902 - binary_accuracy: 0.5405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"109/625 [====>.........................] - ETA: 1:03 - loss: 0.6901 - binary_accuracy: 0.5421"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"110/625 [====>.........................] - ETA: 1:03 - loss: 0.6901 - binary_accuracy: 0.5429"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"111/625 [====>.........................] - ETA: 1:03 - loss: 0.6901 - binary_accuracy: 0.5419"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"112/625 [====>.........................] - ETA: 1:03 - loss: 0.6901 - binary_accuracy: 0.5421"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"113/625 [====>.........................] - ETA: 1:03 - loss: 0.6901 - binary_accuracy: 0.5423"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"115/625 [====>.........................] - ETA: 1:03 - loss: 0.6900 - binary_accuracy: 0.5440"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"117/625 [====>.........................] - ETA: 1:02 - loss: 0.6900 - binary_accuracy: 0.5454"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"119/625 [====>.........................] - ETA: 1:01 - loss: 0.6900 - binary_accuracy: 0.5470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"120/625 [====>.........................] - ETA: 1:01 - loss: 0.6900 - binary_accuracy: 0.5484"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"121/625 [====>.........................] - ETA: 1:01 - loss: 0.6899 - binary_accuracy: 0.5504"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/625 [====>.........................] - ETA: 1:01 - loss: 0.6898 - binary_accuracy: 0.5528"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"124/625 [====>.........................] - ETA: 1:01 - loss: 0.6898 - binary_accuracy: 0.5547"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"125/625 [=====>........................] - ETA: 1:01 - loss: 0.6898 - binary_accuracy: 0.5550"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"127/625 [=====>........................] - ETA: 1:00 - loss: 0.6897 - binary_accuracy: 0.5566"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"130/625 [=====>........................] - ETA: 59s - loss: 0.6897 - binary_accuracy: 0.5577 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"131/625 [=====>........................] - ETA: 59s - loss: 0.6896 - binary_accuracy: 0.5592"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"134/625 [=====>........................] - ETA: 58s - loss: 0.6895 - binary_accuracy: 0.5630"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"136/625 [=====>........................] - ETA: 57s - loss: 0.6894 - binary_accuracy: 0.5655"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"137/625 [=====>........................] - ETA: 57s - loss: 0.6894 - binary_accuracy: 0.5673"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"139/625 [=====>........................] - ETA: 57s - loss: 0.6893 - binary_accuracy: 0.5699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"142/625 [=====>........................] - ETA: 56s - loss: 0.6892 - binary_accuracy: 0.5722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"144/625 [=====>........................] - ETA: 55s - loss: 0.6892 - binary_accuracy: 0.5749"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"145/625 [=====>........................] - ETA: 55s - loss: 0.6892 - binary_accuracy: 0.5754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"146/625 [======>.......................] - ETA: 55s - loss: 0.6891 - binary_accuracy: 0.5771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"147/625 [======>.......................] - ETA: 55s - loss: 0.6891 - binary_accuracy: 0.5772"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"148/625 [======>.......................] - ETA: 55s - loss: 0.6891 - binary_accuracy: 0.5781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"149/625 [======>.......................] - ETA: 55s - loss: 0.6891 - binary_accuracy: 0.5789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"151/625 [======>.......................] - ETA: 55s - loss: 0.6890 - binary_accuracy: 0.5815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"152/625 [======>.......................] - ETA: 55s - loss: 0.6889 - binary_accuracy: 0.5829"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"160/625 [======>.......................] - ETA: 52s - loss: 0.6887 - binary_accuracy: 0.5887"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"162/625 [======>.......................] - ETA: 51s - loss: 0.6886 - binary_accuracy: 0.5907"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"164/625 [======>.......................] - ETA: 51s - loss: 0.6886 - binary_accuracy: 0.5926"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"165/625 [======>.......................] - ETA: 51s - loss: 0.6885 - binary_accuracy: 0.5928"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"166/625 [======>.......................] - ETA: 51s - loss: 0.6884 - binary_accuracy: 0.5943"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"167/625 [=======>......................] - ETA: 51s - loss: 0.6884 - binary_accuracy: 0.5954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"169/625 [=======>......................] - ETA: 50s - loss: 0.6883 - binary_accuracy: 0.5967"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"170/625 [=======>......................] - ETA: 50s - loss: 0.6883 - binary_accuracy: 0.5980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/625 [=======>......................] - ETA: 50s - loss: 0.6882 - binary_accuracy: 0.5983"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"172/625 [=======>......................] - ETA: 50s - loss: 0.6882 - binary_accuracy: 0.5988"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"174/625 [=======>......................] - ETA: 50s - loss: 0.6881 - binary_accuracy: 0.6004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"175/625 [=======>......................] - ETA: 50s - loss: 0.6881 - binary_accuracy: 0.6011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"179/625 [=======>......................] - ETA: 49s - loss: 0.6879 - binary_accuracy: 0.6030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"180/625 [=======>......................] - ETA: 49s - loss: 0.6879 - binary_accuracy: 0.6024"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"181/625 [=======>......................] - ETA: 49s - loss: 0.6879 - binary_accuracy: 0.6026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"183/625 [=======>......................] - ETA: 48s - loss: 0.6878 - binary_accuracy: 0.6040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"185/625 [=======>......................] - ETA: 48s - loss: 0.6878 - binary_accuracy: 0.6034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/625 [========>.....................] - ETA: 47s - loss: 0.6877 - binary_accuracy: 0.6031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"189/625 [========>.....................] - ETA: 47s - loss: 0.6876 - binary_accuracy: 0.6040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/625 [========>.....................] - ETA: 47s - loss: 0.6875 - binary_accuracy: 0.6041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"191/625 [========>.....................] - ETA: 47s - loss: 0.6875 - binary_accuracy: 0.6047"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"192/625 [========>.....................] - ETA: 47s - loss: 0.6875 - binary_accuracy: 0.6040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"194/625 [========>.....................] - ETA: 47s - loss: 0.6874 - binary_accuracy: 0.6037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"195/625 [========>.....................] - ETA: 47s - loss: 0.6874 - binary_accuracy: 0.6042"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"196/625 [========>.....................] - ETA: 47s - loss: 0.6874 - binary_accuracy: 0.6040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"197/625 [========>.....................] - ETA: 47s - loss: 0.6874 - binary_accuracy: 0.6036"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"201/625 [========>.....................] - ETA: 46s - loss: 0.6873 - binary_accuracy: 0.6037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"202/625 [========>.....................] - ETA: 46s - loss: 0.6873 - binary_accuracy: 0.6038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"204/625 [========>.....................] - ETA: 45s - loss: 0.6872 - binary_accuracy: 0.6036"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"206/625 [========>.....................] - ETA: 45s - loss: 0.6872 - binary_accuracy: 0.6038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"207/625 [========>.....................] - ETA: 45s - loss: 0.6871 - binary_accuracy: 0.6046"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/625 [=========>....................] - ETA: 44s - loss: 0.6869 - binary_accuracy: 0.6071"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"213/625 [=========>....................] - ETA: 44s - loss: 0.6869 - binary_accuracy: 0.6077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"214/625 [=========>....................] - ETA: 44s - loss: 0.6868 - binary_accuracy: 0.6084"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"215/625 [=========>....................] - ETA: 44s - loss: 0.6867 - binary_accuracy: 0.6090"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"217/625 [=========>....................] - ETA: 43s - loss: 0.6866 - binary_accuracy: 0.6103"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"218/625 [=========>....................] - ETA: 43s - loss: 0.6866 - binary_accuracy: 0.6105"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"219/625 [=========>....................] - ETA: 43s - loss: 0.6866 - binary_accuracy: 0.6112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"220/625 [=========>....................] - ETA: 43s - loss: 0.6865 - binary_accuracy: 0.6111"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"221/625 [=========>....................] - ETA: 43s - loss: 0.6865 - binary_accuracy: 0.6116"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"224/625 [=========>....................] - ETA: 43s - loss: 0.6864 - binary_accuracy: 0.6133"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"225/625 [=========>....................] - ETA: 43s - loss: 0.6863 - binary_accuracy: 0.6142"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"226/625 [=========>....................] - ETA: 43s - loss: 0.6862 - binary_accuracy: 0.6149"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"228/625 [=========>....................] - ETA: 42s - loss: 0.6861 - binary_accuracy: 0.6158"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"233/625 [==========>...................] - ETA: 41s - loss: 0.6860 - binary_accuracy: 0.6188"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"235/625 [==========>...................] - ETA: 41s - loss: 0.6859 - binary_accuracy: 0.6201"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"237/625 [==========>...................] - ETA: 41s - loss: 0.6858 - binary_accuracy: 0.6200"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"238/625 [==========>...................] - ETA: 41s - loss: 0.6857 - binary_accuracy: 0.6209"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"240/625 [==========>...................] - ETA: 40s - loss: 0.6856 - binary_accuracy: 0.6220"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"241/625 [==========>...................] - ETA: 40s - loss: 0.6856 - binary_accuracy: 0.6224"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"244/625 [==========>...................] - ETA: 40s - loss: 0.6854 - binary_accuracy: 0.6244"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"245/625 [==========>...................] - ETA: 40s - loss: 0.6854 - binary_accuracy: 0.6247"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"247/625 [==========>...................] - ETA: 39s - loss: 0.6853 - binary_accuracy: 0.6258"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"249/625 [==========>...................] - ETA: 39s - loss: 0.6852 - binary_accuracy: 0.6270"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"251/625 [===========>..................] - ETA: 39s - loss: 0.6851 - binary_accuracy: 0.6280"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"253/625 [===========>..................] - ETA: 38s - loss: 0.6850 - binary_accuracy: 0.6286"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"254/625 [===========>..................] - ETA: 38s - loss: 0.6849 - binary_accuracy: 0.6289"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"256/625 [===========>..................] - ETA: 38s - loss: 0.6848 - binary_accuracy: 0.6299"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"258/625 [===========>..................] - ETA: 38s - loss: 0.6847 - binary_accuracy: 0.6309"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/625 [===========>..................] - ETA: 38s - loss: 0.6847 - binary_accuracy: 0.6316"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"261/625 [===========>..................] - ETA: 38s - loss: 0.6845 - binary_accuracy: 0.6328"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"262/625 [===========>..................] - ETA: 37s - loss: 0.6845 - binary_accuracy: 0.6336"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"264/625 [===========>..................] - ETA: 37s - loss: 0.6843 - binary_accuracy: 0.6341"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"266/625 [===========>..................] - ETA: 37s - loss: 0.6842 - binary_accuracy: 0.6344"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"267/625 [===========>..................] - ETA: 37s - loss: 0.6842 - binary_accuracy: 0.6347"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"268/625 [===========>..................] - ETA: 37s - loss: 0.6841 - binary_accuracy: 0.6348"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"269/625 [===========>..................] - ETA: 37s - loss: 0.6841 - binary_accuracy: 0.6355"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"270/625 [===========>..................] - ETA: 37s - loss: 0.6841 - binary_accuracy: 0.6358"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"271/625 [============>.................] - ETA: 37s - loss: 0.6840 - binary_accuracy: 0.6364"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"275/625 [============>.................] - ETA: 36s - loss: 0.6838 - binary_accuracy: 0.6382"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"277/625 [============>.................] - ETA: 36s - loss: 0.6838 - binary_accuracy: 0.6382"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"280/625 [============>.................] - ETA: 35s - loss: 0.6836 - binary_accuracy: 0.6397"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"281/625 [============>.................] - ETA: 35s - loss: 0.6835 - binary_accuracy: 0.6399"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"284/625 [============>.................] - ETA: 35s - loss: 0.6833 - binary_accuracy: 0.6411"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"288/625 [============>.................] - ETA: 34s - loss: 0.6832 - binary_accuracy: 0.6423"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"291/625 [============>.................] - ETA: 33s - loss: 0.6831 - binary_accuracy: 0.6424"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"293/625 [=============>................] - ETA: 33s - loss: 0.6830 - binary_accuracy: 0.6427"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"301/625 [=============>................] - ETA: 32s - loss: 0.6826 - binary_accuracy: 0.6450"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"302/625 [=============>................] - ETA: 32s - loss: 0.6825 - binary_accuracy: 0.6454"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"306/625 [=============>................] - ETA: 31s - loss: 0.6824 - binary_accuracy: 0.6460"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"307/625 [=============>................] - ETA: 31s - loss: 0.6823 - binary_accuracy: 0.6467"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"308/625 [=============>................] - ETA: 31s - loss: 0.6822 - binary_accuracy: 0.6472"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/625 [=============>................] - ETA: 30s - loss: 0.6820 - binary_accuracy: 0.6476"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"315/625 [==============>...............] - ETA: 30s - loss: 0.6819 - binary_accuracy: 0.6476"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"321/625 [==============>...............] - ETA: 29s - loss: 0.6817 - binary_accuracy: 0.6481"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"327/625 [==============>...............] - ETA: 28s - loss: 0.6814 - binary_accuracy: 0.6498"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"329/625 [==============>...............] - ETA: 28s - loss: 0.6813 - binary_accuracy: 0.6502"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"330/625 [==============>...............] - ETA: 28s - loss: 0.6812 - binary_accuracy: 0.6506"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"333/625 [==============>...............] - ETA: 27s - loss: 0.6810 - binary_accuracy: 0.6514"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"338/625 [===============>..............] - ETA: 27s - loss: 0.6808 - binary_accuracy: 0.6522"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"339/625 [===============>..............] - ETA: 26s - loss: 0.6807 - binary_accuracy: 0.6527"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"343/625 [===============>..............] - ETA: 26s - loss: 0.6805 - binary_accuracy: 0.6537"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"348/625 [===============>..............] - ETA: 25s - loss: 0.6803 - binary_accuracy: 0.6540"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"349/625 [===============>..............] - ETA: 25s - loss: 0.6802 - binary_accuracy: 0.6541"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"354/625 [===============>..............] - ETA: 24s - loss: 0.6801 - binary_accuracy: 0.6547"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"360/625 [================>.............] - ETA: 24s - loss: 0.6797 - binary_accuracy: 0.6564"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"369/625 [================>.............] - ETA: 22s - loss: 0.6791 - binary_accuracy: 0.6588"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"370/625 [================>.............] - ETA: 22s - loss: 0.6791 - binary_accuracy: 0.6587"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"374/625 [================>.............] - ETA: 22s - loss: 0.6789 - binary_accuracy: 0.6600"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"378/625 [=================>............] - ETA: 21s - loss: 0.6786 - binary_accuracy: 0.6612"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"380/625 [=================>............] - ETA: 21s - loss: 0.6785 - binary_accuracy: 0.6624"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"390/625 [=================>............] - ETA: 20s - loss: 0.6778 - binary_accuracy: 0.6653"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"391/625 [=================>............] - ETA: 20s - loss: 0.6777 - binary_accuracy: 0.6659"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"392/625 [=================>............] - ETA: 20s - loss: 0.6776 - binary_accuracy: 0.6662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"394/625 [=================>............] - ETA: 20s - loss: 0.6774 - binary_accuracy: 0.6670"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"401/625 [==================>...........] - ETA: 19s - loss: 0.6770 - binary_accuracy: 0.6680"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"403/625 [==================>...........] - ETA: 19s - loss: 0.6769 - binary_accuracy: 0.6686"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"407/625 [==================>...........] - ETA: 18s - loss: 0.6765 - binary_accuracy: 0.6696"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"409/625 [==================>...........] - ETA: 18s - loss: 0.6764 - binary_accuracy: 0.6702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"410/625 [==================>...........] - ETA: 18s - loss: 0.6763 - binary_accuracy: 0.6707"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"418/625 [===================>..........] - ETA: 17s - loss: 0.6758 - binary_accuracy: 0.6720"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"421/625 [===================>..........] - ETA: 17s - loss: 0.6755 - binary_accuracy: 0.6725"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"427/625 [===================>..........] - ETA: 16s - loss: 0.6751 - binary_accuracy: 0.6740"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"437/625 [===================>..........] - ETA: 15s - loss: 0.6746 - binary_accuracy: 0.6752"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"445/625 [====================>.........] - ETA: 14s - loss: 0.6740 - binary_accuracy: 0.6771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"446/625 [====================>.........] - ETA: 14s - loss: 0.6739 - binary_accuracy: 0.6774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"447/625 [====================>.........] - ETA: 14s - loss: 0.6739 - binary_accuracy: 0.6774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"451/625 [====================>.........] - ETA: 14s - loss: 0.6736 - binary_accuracy: 0.6781"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"454/625 [====================>.........] - ETA: 13s - loss: 0.6734 - binary_accuracy: 0.6788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"456/625 [====================>.........] - ETA: 13s - loss: 0.6733 - binary_accuracy: 0.6793"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"464/625 [=====================>........] - ETA: 12s - loss: 0.6728 - binary_accuracy: 0.6802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"465/625 [=====================>........] - ETA: 12s - loss: 0.6727 - binary_accuracy: 0.6806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"470/625 [=====================>........] - ETA: 12s - loss: 0.6724 - binary_accuracy: 0.6810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"474/625 [=====================>........] - ETA: 11s - loss: 0.6722 - binary_accuracy: 0.6811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"488/625 [======================>.......] - ETA: 10s - loss: 0.6711 - binary_accuracy: 0.6835"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"490/625 [======================>.......] - ETA: 10s - loss: 0.6709 - binary_accuracy: 0.6840"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"497/625 [======================>.......] - ETA: 9s - loss: 0.6704 - binary_accuracy: 0.6849 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"499/625 [======================>.......] - ETA: 9s - loss: 0.6702 - binary_accuracy: 0.6852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"509/625 [=======================>......] - ETA: 8s - loss: 0.6694 - binary_accuracy: 0.6869"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"513/625 [=======================>......] - ETA: 8s - loss: 0.6692 - binary_accuracy: 0.6870"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"521/625 [========================>.....] - ETA: 7s - loss: 0.6686 - binary_accuracy: 0.6889"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"524/625 [========================>.....] - ETA: 7s - loss: 0.6684 - binary_accuracy: 0.6886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"526/625 [========================>.....] - ETA: 7s - loss: 0.6682 - binary_accuracy: 0.6892"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"530/625 [========================>.....] - ETA: 6s - loss: 0.6680 - binary_accuracy: 0.6894"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"533/625 [========================>.....] - ETA: 6s - loss: 0.6678 - binary_accuracy: 0.6899"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"535/625 [========================>.....] - ETA: 6s - loss: 0.6677 - binary_accuracy: 0.6901"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"538/625 [========================>.....] - ETA: 6s - loss: 0.6675 - binary_accuracy: 0.6905"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"541/625 [========================>.....] - ETA: 6s - loss: 0.6673 - binary_accuracy: 0.6910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"544/625 [=========================>....] - ETA: 5s - loss: 0.6671 - binary_accuracy: 0.6914"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"546/625 [=========================>....] - ETA: 5s - loss: 0.6669 - binary_accuracy: 0.6916"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"547/625 [=========================>....] - ETA: 5s - loss: 0.6668 - binary_accuracy: 0.6920"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"560/625 [=========================>....] - ETA: 4s - loss: 0.6658 - binary_accuracy: 0.6932"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"564/625 [==========================>...] - ETA: 4s - loss: 0.6656 - binary_accuracy: 0.6937"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"572/625 [==========================>...] - ETA: 3s - loss: 0.6649 - binary_accuracy: 0.6953"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"577/625 [==========================>...] - ETA: 3s - loss: 0.6647 - binary_accuracy: 0.6954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"582/625 [==========================>...] - ETA: 3s - loss: 0.6643 - binary_accuracy: 0.6959"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"591/625 [===========================>..] - ETA: 2s - loss: 0.6635 - binary_accuracy: 0.6972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"600/625 [===========================>..] - ETA: 1s - loss: 0.6627 - binary_accuracy: 0.6985"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"602/625 [===========================>..] - ETA: 1s - loss: 0.6625 - binary_accuracy: 0.6989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"608/625 [============================>.] - ETA: 1s - loss: 0.6620 - binary_accuracy: 0.6997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"609/625 [============================>.] - ETA: 1s - loss: 0.6619 - binary_accuracy: 0.6999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"615/625 [============================>.] - ETA: 0s - loss: 0.6615 - binary_accuracy: 0.7008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"619/625 [============================>.] - ETA: 0s - loss: 0.6612 - binary_accuracy: 0.7010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 45s 68ms/step - loss: 0.6607 - binary_accuracy: 0.7017 - val_loss: 0.6116 - val_binary_accuracy: 0.7732\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.5706 - binary_accuracy: 0.8438"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.6067 - binary_accuracy: 0.7726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.6060 - binary_accuracy: 0.7696"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.6018 - binary_accuracy: 0.7746"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/625 [==>...........................] - ETA: 1s - loss: 0.6020 - binary_accuracy: 0.7726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/625 [===>..........................] - ETA: 1s - loss: 0.5989 - binary_accuracy: 0.7711"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"103/625 [===>..........................] - ETA: 1s - loss: 0.5973 - binary_accuracy: 0.7709"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"120/625 [====>.........................] - ETA: 1s - loss: 0.5966 - binary_accuracy: 0.7695"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"137/625 [=====>........................] - ETA: 1s - loss: 0.5945 - binary_accuracy: 0.7730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"154/625 [======>.......................] - ETA: 1s - loss: 0.5938 - binary_accuracy: 0.7727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/625 [=======>......................] - ETA: 1s - loss: 0.5923 - binary_accuracy: 0.7750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/625 [========>.....................] - ETA: 1s - loss: 0.5911 - binary_accuracy: 0.7754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"205/625 [========>.....................] - ETA: 1s - loss: 0.5900 - binary_accuracy: 0.7748"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/625 [=========>....................] - ETA: 1s - loss: 0.5873 - binary_accuracy: 0.7777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"240/625 [==========>...................] - ETA: 1s - loss: 0.5849 - binary_accuracy: 0.7797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"257/625 [===========>..................] - ETA: 1s - loss: 0.5829 - binary_accuracy: 0.7806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"274/625 [============>.................] - ETA: 1s - loss: 0.5801 - binary_accuracy: 0.7839"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"291/625 [============>.................] - ETA: 1s - loss: 0.5792 - binary_accuracy: 0.7834"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"309/625 [=============>................] - ETA: 0s - loss: 0.5774 - binary_accuracy: 0.7838"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"326/625 [==============>...............] - ETA: 0s - loss: 0.5766 - binary_accuracy: 0.7838"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"343/625 [===============>..............] - ETA: 0s - loss: 0.5749 - binary_accuracy: 0.7845"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"360/625 [================>.............] - ETA: 0s - loss: 0.5733 - binary_accuracy: 0.7857"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"377/625 [=================>............] - ETA: 0s - loss: 0.5715 - binary_accuracy: 0.7867"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"394/625 [=================>............] - ETA: 0s - loss: 0.5689 - binary_accuracy: 0.7893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"411/625 [==================>...........] - ETA: 0s - loss: 0.5668 - binary_accuracy: 0.7907"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"428/625 [===================>..........] - ETA: 0s - loss: 0.5647 - binary_accuracy: 0.7922"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"445/625 [====================>.........] - ETA: 0s - loss: 0.5631 - binary_accuracy: 0.7929"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"462/625 [=====================>........] - ETA: 0s - loss: 0.5617 - binary_accuracy: 0.7939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"479/625 [=====================>........] - ETA: 0s - loss: 0.5605 - binary_accuracy: 0.7942"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"496/625 [======================>.......] - ETA: 0s - loss: 0.5583 - binary_accuracy: 0.7959"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"513/625 [=======================>......] - ETA: 0s - loss: 0.5567 - binary_accuracy: 0.7970"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"530/625 [========================>.....] - ETA: 0s - loss: 0.5550 - binary_accuracy: 0.7976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"548/625 [=========================>....] - ETA: 0s - loss: 0.5536 - binary_accuracy: 0.7985"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"565/625 [==========================>...] - ETA: 0s - loss: 0.5522 - binary_accuracy: 0.7989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"582/625 [==========================>...] - ETA: 0s - loss: 0.5508 - binary_accuracy: 0.7997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"599/625 [===========================>..] - ETA: 0s - loss: 0.5492 - binary_accuracy: 0.8003"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"616/625 [============================>.] - ETA: 0s - loss: 0.5476 - binary_accuracy: 0.8012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.5469 - binary_accuracy: 0.8013 - val_loss: 0.4977 - val_binary_accuracy: 0.8236\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 3/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.4511 - binary_accuracy: 0.8438"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.4853 - binary_accuracy: 0.8351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.4852 - binary_accuracy: 0.8250"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/625 [=>............................] - ETA: 1s - loss: 0.4825 - binary_accuracy: 0.8267"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/625 [==>...........................] - ETA: 1s - loss: 0.4847 - binary_accuracy: 0.8263"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/625 [===>..........................] - ETA: 1s - loss: 0.4808 - binary_accuracy: 0.8294"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/625 [====>.........................] - ETA: 1s - loss: 0.4791 - binary_accuracy: 0.8304"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"123/625 [====>.........................] - ETA: 1s - loss: 0.4781 - binary_accuracy: 0.8283"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"141/625 [=====>........................] - ETA: 1s - loss: 0.4766 - binary_accuracy: 0.8296"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"159/625 [======>.......................] - ETA: 1s - loss: 0.4780 - binary_accuracy: 0.8270"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"177/625 [=======>......................] - ETA: 1s - loss: 0.4756 - binary_accuracy: 0.8286"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"195/625 [========>.....................] - ETA: 1s - loss: 0.4753 - binary_accuracy: 0.8274"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"213/625 [=========>....................] - ETA: 1s - loss: 0.4738 - binary_accuracy: 0.8291"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"232/625 [==========>...................] - ETA: 1s - loss: 0.4715 - binary_accuracy: 0.8307"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"250/625 [===========>..................] - ETA: 1s - loss: 0.4693 - binary_accuracy: 0.8314"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"268/625 [===========>..................] - ETA: 1s - loss: 0.4672 - binary_accuracy: 0.8338"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/625 [============>.................] - ETA: 0s - loss: 0.4664 - binary_accuracy: 0.8340"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"306/625 [=============>................] - ETA: 0s - loss: 0.4662 - binary_accuracy: 0.8336"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"323/625 [==============>...............] - ETA: 0s - loss: 0.4658 - binary_accuracy: 0.8330"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"340/625 [===============>..............] - ETA: 0s - loss: 0.4643 - binary_accuracy: 0.8342"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"358/625 [================>.............] - ETA: 0s - loss: 0.4630 - binary_accuracy: 0.8351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"376/625 [=================>............] - ETA: 0s - loss: 0.4615 - binary_accuracy: 0.8364"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"393/625 [=================>............] - ETA: 0s - loss: 0.4592 - binary_accuracy: 0.8380"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"410/625 [==================>...........] - ETA: 0s - loss: 0.4574 - binary_accuracy: 0.8396"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"427/625 [===================>..........] - ETA: 0s - loss: 0.4558 - binary_accuracy: 0.8404"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"444/625 [====================>.........] - ETA: 0s - loss: 0.4545 - binary_accuracy: 0.8405"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"462/625 [=====================>........] - ETA: 0s - loss: 0.4535 - binary_accuracy: 0.8409"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"480/625 [======================>.......] - ETA: 0s - loss: 0.4529 - binary_accuracy: 0.8413"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"498/625 [======================>.......] - ETA: 0s - loss: 0.4510 - binary_accuracy: 0.8428"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"516/625 [=======================>......] - ETA: 0s - loss: 0.4493 - binary_accuracy: 0.8437"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"534/625 [========================>.....] - ETA: 0s - loss: 0.4482 - binary_accuracy: 0.8433"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"552/625 [=========================>....] - ETA: 0s - loss: 0.4473 - binary_accuracy: 0.8434"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"569/625 [==========================>...] - ETA: 0s - loss: 0.4461 - binary_accuracy: 0.8441"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"587/625 [===========================>..] - ETA: 0s - loss: 0.4457 - binary_accuracy: 0.8442"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"604/625 [===========================>..] - ETA: 0s - loss: 0.4448 - binary_accuracy: 0.8445"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"621/625 [============================>.] - ETA: 0s - loss: 0.4442 - binary_accuracy: 0.8444"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.4439 - binary_accuracy: 0.8446 - val_loss: 0.4197 - val_binary_accuracy: 0.8464\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 4/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.3582 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.4009 - binary_accuracy: 0.8628"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.4010 - binary_accuracy: 0.8571"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/625 [=>............................] - ETA: 1s - loss: 0.3988 - binary_accuracy: 0.8597"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/625 [==>...........................] - ETA: 1s - loss: 0.4023 - binary_accuracy: 0.8616"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/625 [===>..........................] - ETA: 1s - loss: 0.3986 - binary_accuracy: 0.8615"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/625 [====>.........................] - ETA: 1s - loss: 0.3992 - binary_accuracy: 0.8601"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/625 [====>.........................] - ETA: 1s - loss: 0.3987 - binary_accuracy: 0.8594"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"139/625 [=====>........................] - ETA: 1s - loss: 0.3966 - binary_accuracy: 0.8595"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"156/625 [======>.......................] - ETA: 1s - loss: 0.3991 - binary_accuracy: 0.8566"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"173/625 [=======>......................] - ETA: 1s - loss: 0.3978 - binary_accuracy: 0.8580"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/625 [========>.....................] - ETA: 1s - loss: 0.3964 - binary_accuracy: 0.8586"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"207/625 [========>.....................] - ETA: 1s - loss: 0.3971 - binary_accuracy: 0.8581"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"224/625 [=========>....................] - ETA: 1s - loss: 0.3961 - binary_accuracy: 0.8585"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"241/625 [==========>...................] - ETA: 1s - loss: 0.3953 - binary_accuracy: 0.8576"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/625 [===========>..................] - ETA: 1s - loss: 0.3932 - binary_accuracy: 0.8598"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"277/625 [============>.................] - ETA: 1s - loss: 0.3910 - binary_accuracy: 0.8613"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"295/625 [=============>................] - ETA: 0s - loss: 0.3932 - binary_accuracy: 0.8595"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"313/625 [==============>...............] - ETA: 0s - loss: 0.3926 - binary_accuracy: 0.8593"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"330/625 [==============>...............] - ETA: 0s - loss: 0.3923 - binary_accuracy: 0.8593"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"347/625 [===============>..............] - ETA: 0s - loss: 0.3914 - binary_accuracy: 0.8596"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"365/625 [================>.............] - ETA: 0s - loss: 0.3901 - binary_accuracy: 0.8607"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"383/625 [=================>............] - ETA: 0s - loss: 0.3890 - binary_accuracy: 0.8611"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"401/625 [==================>...........] - ETA: 0s - loss: 0.3876 - binary_accuracy: 0.8624"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"418/625 [===================>..........] - ETA: 0s - loss: 0.3863 - binary_accuracy: 0.8634"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"436/625 [===================>..........] - ETA: 0s - loss: 0.3852 - binary_accuracy: 0.8637"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"454/625 [====================>.........] - ETA: 0s - loss: 0.3842 - binary_accuracy: 0.8645"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"472/625 [=====================>........] - ETA: 0s - loss: 0.3838 - binary_accuracy: 0.8651"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"490/625 [======================>.......] - ETA: 0s - loss: 0.3827 - binary_accuracy: 0.8658"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"508/625 [=======================>......] - ETA: 0s - loss: 0.3810 - binary_accuracy: 0.8668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"526/625 [========================>.....] - ETA: 0s - loss: 0.3803 - binary_accuracy: 0.8668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"543/625 [=========================>....] - ETA: 0s - loss: 0.3800 - binary_accuracy: 0.8668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"560/625 [=========================>....] - ETA: 0s - loss: 0.3793 - binary_accuracy: 0.8669"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"578/625 [==========================>...] - ETA: 0s - loss: 0.3791 - binary_accuracy: 0.8668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"596/625 [===========================>..] - ETA: 0s - loss: 0.3787 - binary_accuracy: 0.8668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"613/625 [============================>.] - ETA: 0s - loss: 0.3788 - binary_accuracy: 0.8666"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.3783 - binary_accuracy: 0.8665 - val_loss: 0.3731 - val_binary_accuracy: 0.8622\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 5/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.3298 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.3435 - binary_accuracy: 0.8837"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.3465 - binary_accuracy: 0.8759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.3477 - binary_accuracy: 0.8750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/625 [==>...........................] - ETA: 1s - loss: 0.3491 - binary_accuracy: 0.8750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/625 [===>..........................] - ETA: 1s - loss: 0.3467 - binary_accuracy: 0.8746"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/625 [===>..........................] - ETA: 1s - loss: 0.3494 - binary_accuracy: 0.8720"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/625 [====>.........................] - ETA: 1s - loss: 0.3480 - binary_accuracy: 0.8722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"140/625 [=====>........................] - ETA: 1s - loss: 0.3470 - binary_accuracy: 0.8721"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"158/625 [======>.......................] - ETA: 1s - loss: 0.3503 - binary_accuracy: 0.8703"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"176/625 [=======>......................] - ETA: 1s - loss: 0.3476 - binary_accuracy: 0.8725"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"194/625 [========>.....................] - ETA: 1s - loss: 0.3486 - binary_accuracy: 0.8702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/625 [=========>....................] - ETA: 1s - loss: 0.3482 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"229/625 [=========>....................] - ETA: 1s - loss: 0.3474 - binary_accuracy: 0.8727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"246/625 [==========>...................] - ETA: 1s - loss: 0.3460 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"264/625 [===========>..................] - ETA: 1s - loss: 0.3446 - binary_accuracy: 0.8749"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"281/625 [============>.................] - ETA: 1s - loss: 0.3433 - binary_accuracy: 0.8756"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"299/625 [=============>................] - ETA: 0s - loss: 0.3453 - binary_accuracy: 0.8730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"316/625 [==============>...............] - ETA: 0s - loss: 0.3457 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"333/625 [==============>...............] - ETA: 0s - loss: 0.3451 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"350/625 [===============>..............] - ETA: 0s - loss: 0.3446 - binary_accuracy: 0.8730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"368/625 [================>.............] - ETA: 0s - loss: 0.3434 - binary_accuracy: 0.8736"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"385/625 [=================>............] - ETA: 0s - loss: 0.3424 - binary_accuracy: 0.8744"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"401/625 [==================>...........] - ETA: 0s - loss: 0.3412 - binary_accuracy: 0.8750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"418/625 [===================>..........] - ETA: 0s - loss: 0.3402 - binary_accuracy: 0.8758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"435/625 [===================>..........] - ETA: 0s - loss: 0.3392 - binary_accuracy: 0.8761"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"452/625 [====================>.........] - ETA: 0s - loss: 0.3385 - binary_accuracy: 0.8764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"469/625 [=====================>........] - ETA: 0s - loss: 0.3373 - binary_accuracy: 0.8773"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"487/625 [======================>.......] - ETA: 0s - loss: 0.3379 - binary_accuracy: 0.8774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"505/625 [=======================>......] - ETA: 0s - loss: 0.3363 - binary_accuracy: 0.8784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"523/625 [========================>.....] - ETA: 0s - loss: 0.3354 - binary_accuracy: 0.8786"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"541/625 [========================>.....] - ETA: 0s - loss: 0.3357 - binary_accuracy: 0.8783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"559/625 [=========================>....] - ETA: 0s - loss: 0.3352 - binary_accuracy: 0.8789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"577/625 [==========================>...] - ETA: 0s - loss: 0.3353 - binary_accuracy: 0.8787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"594/625 [===========================>..] - ETA: 0s - loss: 0.3351 - binary_accuracy: 0.8788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"611/625 [============================>.] - ETA: 0s - loss: 0.3356 - binary_accuracy: 0.8788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.3352 - binary_accuracy: 0.8788 - val_loss: 0.3443 - val_binary_accuracy: 0.8686\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 6/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.3110 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.3117 - binary_accuracy: 0.9010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.3140 - binary_accuracy: 0.8920"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.3137 - binary_accuracy: 0.8876"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/625 [==>...........................] - ETA: 1s - loss: 0.3156 - binary_accuracy: 0.8877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/625 [===>..........................] - ETA: 1s - loss: 0.3138 - binary_accuracy: 0.8866"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"103/625 [===>..........................] - ETA: 1s - loss: 0.3166 - binary_accuracy: 0.8853"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"121/625 [====>.........................] - ETA: 1s - loss: 0.3159 - binary_accuracy: 0.8869"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"138/625 [=====>........................] - ETA: 1s - loss: 0.3139 - binary_accuracy: 0.8863"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"156/625 [======>.......................] - ETA: 1s - loss: 0.3165 - binary_accuracy: 0.8848"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"173/625 [=======>......................] - ETA: 1s - loss: 0.3148 - binary_accuracy: 0.8858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/625 [========>.....................] - ETA: 1s - loss: 0.3131 - binary_accuracy: 0.8860"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"208/625 [========>.....................] - ETA: 1s - loss: 0.3145 - binary_accuracy: 0.8851"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"226/625 [=========>....................] - ETA: 1s - loss: 0.3143 - binary_accuracy: 0.8844"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"243/625 [==========>...................] - ETA: 1s - loss: 0.3144 - binary_accuracy: 0.8832"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/625 [===========>..................] - ETA: 1s - loss: 0.3127 - binary_accuracy: 0.8849"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"276/625 [============>.................] - ETA: 1s - loss: 0.3108 - binary_accuracy: 0.8872"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"293/625 [=============>................] - ETA: 0s - loss: 0.3132 - binary_accuracy: 0.8850"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/625 [=============>................] - ETA: 0s - loss: 0.3128 - binary_accuracy: 0.8844"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"329/625 [==============>...............] - ETA: 0s - loss: 0.3122 - binary_accuracy: 0.8846"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"346/625 [===============>..............] - ETA: 0s - loss: 0.3115 - binary_accuracy: 0.8841"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"363/625 [================>.............] - ETA: 0s - loss: 0.3103 - binary_accuracy: 0.8851"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"380/625 [=================>............] - ETA: 0s - loss: 0.3096 - binary_accuracy: 0.8855"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"397/625 [==================>...........] - ETA: 0s - loss: 0.3084 - binary_accuracy: 0.8859"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"414/625 [==================>...........] - ETA: 0s - loss: 0.3077 - binary_accuracy: 0.8863"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"431/625 [===================>..........] - ETA: 0s - loss: 0.3065 - binary_accuracy: 0.8869"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"448/625 [====================>.........] - ETA: 0s - loss: 0.3062 - binary_accuracy: 0.8869"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"465/625 [=====================>........] - ETA: 0s - loss: 0.3054 - binary_accuracy: 0.8870"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"482/625 [======================>.......] - ETA: 0s - loss: 0.3059 - binary_accuracy: 0.8873"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"499/625 [======================>.......] - ETA: 0s - loss: 0.3047 - binary_accuracy: 0.8882"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"516/625 [=======================>......] - ETA: 0s - loss: 0.3036 - binary_accuracy: 0.8888"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"533/625 [========================>.....] - ETA: 0s - loss: 0.3038 - binary_accuracy: 0.8884"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"550/625 [=========================>....] - ETA: 0s - loss: 0.3038 - binary_accuracy: 0.8883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"567/625 [==========================>...] - ETA: 0s - loss: 0.3033 - binary_accuracy: 0.8887"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"584/625 [===========================>..] - ETA: 0s - loss: 0.3041 - binary_accuracy: 0.8887"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"602/625 [===========================>..] - ETA: 0s - loss: 0.3044 - binary_accuracy: 0.8884"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"619/625 [============================>.] - ETA: 0s - loss: 0.3048 - binary_accuracy: 0.8882"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.3045 - binary_accuracy: 0.8884 - val_loss: 0.3255 - val_binary_accuracy: 0.8710\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 7/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.2867 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.2845 - binary_accuracy: 0.9097"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.2867 - binary_accuracy: 0.9027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.2848 - binary_accuracy: 0.9002"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/625 [==>...........................] - ETA: 1s - loss: 0.2877 - binary_accuracy: 0.8987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/625 [===>..........................] - ETA: 1s - loss: 0.2857 - binary_accuracy: 0.8991"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/625 [===>..........................] - ETA: 1s - loss: 0.2898 - binary_accuracy: 0.8966"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"121/625 [====>.........................] - ETA: 1s - loss: 0.2885 - binary_accuracy: 0.8977"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"138/625 [=====>........................] - ETA: 1s - loss: 0.2865 - binary_accuracy: 0.8963"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"155/625 [======>.......................] - ETA: 1s - loss: 0.2895 - binary_accuracy: 0.8938"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"172/625 [=======>......................] - ETA: 1s - loss: 0.2879 - binary_accuracy: 0.8946"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"189/625 [========>.....................] - ETA: 1s - loss: 0.2861 - binary_accuracy: 0.8947"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"206/625 [========>.....................] - ETA: 1s - loss: 0.2876 - binary_accuracy: 0.8937"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/625 [=========>....................] - ETA: 1s - loss: 0.2869 - binary_accuracy: 0.8940"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"239/625 [==========>...................] - ETA: 1s - loss: 0.2874 - binary_accuracy: 0.8930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"255/625 [===========>..................] - ETA: 1s - loss: 0.2867 - binary_accuracy: 0.8934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"271/625 [============>.................] - ETA: 1s - loss: 0.2848 - binary_accuracy: 0.8956"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/625 [============>.................] - ETA: 1s - loss: 0.2859 - binary_accuracy: 0.8954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"303/625 [=============>................] - ETA: 0s - loss: 0.2869 - binary_accuracy: 0.8948"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"319/625 [==============>...............] - ETA: 0s - loss: 0.2870 - binary_accuracy: 0.8945"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"335/625 [===============>..............] - ETA: 0s - loss: 0.2860 - binary_accuracy: 0.8949"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"351/625 [===============>..............] - ETA: 0s - loss: 0.2855 - binary_accuracy: 0.8946"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"368/625 [================>.............] - ETA: 0s - loss: 0.2846 - binary_accuracy: 0.8950"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"385/625 [=================>............] - ETA: 0s - loss: 0.2839 - binary_accuracy: 0.8955"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"402/625 [==================>...........] - ETA: 0s - loss: 0.2827 - binary_accuracy: 0.8954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"419/625 [===================>..........] - ETA: 0s - loss: 0.2818 - binary_accuracy: 0.8959"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"436/625 [===================>..........] - ETA: 0s - loss: 0.2811 - binary_accuracy: 0.8962"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"453/625 [====================>.........] - ETA: 0s - loss: 0.2804 - binary_accuracy: 0.8966"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"470/625 [=====================>........] - ETA: 0s - loss: 0.2802 - binary_accuracy: 0.8968"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"487/625 [======================>.......] - ETA: 0s - loss: 0.2807 - binary_accuracy: 0.8964"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"504/625 [=======================>......] - ETA: 0s - loss: 0.2794 - binary_accuracy: 0.8971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"521/625 [========================>.....] - ETA: 0s - loss: 0.2786 - binary_accuracy: 0.8980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"538/625 [========================>.....] - ETA: 0s - loss: 0.2794 - binary_accuracy: 0.8971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"555/625 [=========================>....] - ETA: 0s - loss: 0.2793 - binary_accuracy: 0.8976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"572/625 [==========================>...] - ETA: 0s - loss: 0.2789 - binary_accuracy: 0.8979"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"589/625 [===========================>..] - ETA: 0s - loss: 0.2801 - binary_accuracy: 0.8975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"606/625 [============================>.] - ETA: 0s - loss: 0.2805 - binary_accuracy: 0.8974"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"623/625 [============================>.] - ETA: 0s - loss: 0.2807 - binary_accuracy: 0.8971"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.2804 - binary_accuracy: 0.8972 - val_loss: 0.3119 - val_binary_accuracy: 0.8748\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 8/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.2557 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.2527 - binary_accuracy: 0.9115"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.2577 - binary_accuracy: 0.9080"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.2612 - binary_accuracy: 0.9038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/625 [==>...........................] - ETA: 1s - loss: 0.2622 - binary_accuracy: 0.9058"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/625 [===>..........................] - ETA: 1s - loss: 0.2629 - binary_accuracy: 0.9044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/625 [===>..........................] - ETA: 1s - loss: 0.2682 - binary_accuracy: 0.9026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"119/625 [====>.........................] - ETA: 1s - loss: 0.2664 - binary_accuracy: 0.9031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"136/625 [=====>........................] - ETA: 1s - loss: 0.2647 - binary_accuracy: 0.9017"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"153/625 [======>.......................] - ETA: 1s - loss: 0.2665 - binary_accuracy: 0.9001"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"170/625 [=======>......................] - ETA: 1s - loss: 0.2654 - binary_accuracy: 0.8998"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/625 [========>.....................] - ETA: 1s - loss: 0.2645 - binary_accuracy: 0.9013"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"205/625 [========>.....................] - ETA: 1s - loss: 0.2663 - binary_accuracy: 0.9005"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/625 [=========>....................] - ETA: 1s - loss: 0.2656 - binary_accuracy: 0.9012"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"239/625 [==========>...................] - ETA: 1s - loss: 0.2666 - binary_accuracy: 0.9001"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"256/625 [===========>..................] - ETA: 1s - loss: 0.2661 - binary_accuracy: 0.9000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"273/625 [============>.................] - ETA: 1s - loss: 0.2645 - binary_accuracy: 0.9021"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"289/625 [============>.................] - ETA: 1s - loss: 0.2664 - binary_accuracy: 0.9010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"305/625 [=============>................] - ETA: 0s - loss: 0.2667 - binary_accuracy: 0.9008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"321/625 [==============>...............] - ETA: 0s - loss: 0.2669 - binary_accuracy: 0.9007"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"338/625 [===============>..............] - ETA: 0s - loss: 0.2660 - binary_accuracy: 0.9007"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"355/625 [================>.............] - ETA: 0s - loss: 0.2658 - binary_accuracy: 0.9004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"372/625 [================>.............] - ETA: 0s - loss: 0.2647 - binary_accuracy: 0.9011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"389/625 [=================>............] - ETA: 0s - loss: 0.2640 - binary_accuracy: 0.9018"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"405/625 [==================>...........] - ETA: 0s - loss: 0.2631 - binary_accuracy: 0.9019"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"422/625 [===================>..........] - ETA: 0s - loss: 0.2618 - binary_accuracy: 0.9026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"439/625 [====================>.........] - ETA: 0s - loss: 0.2612 - binary_accuracy: 0.9025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"456/625 [====================>.........] - ETA: 0s - loss: 0.2608 - binary_accuracy: 0.9029"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"473/625 [=====================>........] - ETA: 0s - loss: 0.2613 - binary_accuracy: 0.9030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"490/625 [======================>.......] - ETA: 0s - loss: 0.2611 - binary_accuracy: 0.9032"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"507/625 [=======================>......] - ETA: 0s - loss: 0.2597 - binary_accuracy: 0.9038"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"524/625 [========================>.....] - ETA: 0s - loss: 0.2598 - binary_accuracy: 0.9037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"541/625 [========================>.....] - ETA: 0s - loss: 0.2602 - binary_accuracy: 0.9033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"558/625 [=========================>....] - ETA: 0s - loss: 0.2597 - binary_accuracy: 0.9040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"576/625 [==========================>...] - ETA: 0s - loss: 0.2600 - binary_accuracy: 0.9040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"593/625 [===========================>..] - ETA: 0s - loss: 0.2608 - binary_accuracy: 0.9039"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"610/625 [============================>.] - ETA: 0s - loss: 0.2617 - binary_accuracy: 0.9034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.2612 - binary_accuracy: 0.9036 - val_loss: 0.3025 - val_binary_accuracy: 0.8776\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 9/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.2184 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.2435 - binary_accuracy: 0.9236"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/625 [>.............................] - ETA: 1s - loss: 0.2437 - binary_accuracy: 0.9149"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/625 [=>............................] - ETA: 1s - loss: 0.2444 - binary_accuracy: 0.9172"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/625 [==>...........................] - ETA: 1s - loss: 0.2475 - binary_accuracy: 0.9149"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/625 [===>..........................] - ETA: 1s - loss: 0.2464 - binary_accuracy: 0.9170"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"108/625 [====>.........................] - ETA: 1s - loss: 0.2505 - binary_accuracy: 0.9141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"126/625 [=====>........................] - ETA: 1s - loss: 0.2489 - binary_accuracy: 0.9149"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"143/625 [=====>........................] - ETA: 1s - loss: 0.2482 - binary_accuracy: 0.9132"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"160/625 [======>.......................] - ETA: 1s - loss: 0.2509 - binary_accuracy: 0.9105"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"177/625 [=======>......................] - ETA: 1s - loss: 0.2489 - binary_accuracy: 0.9117"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"194/625 [========>.....................] - ETA: 1s - loss: 0.2490 - binary_accuracy: 0.9112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/625 [=========>....................] - ETA: 1s - loss: 0.2492 - binary_accuracy: 0.9119"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"228/625 [=========>....................] - ETA: 1s - loss: 0.2495 - binary_accuracy: 0.9119"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"245/625 [==========>...................] - ETA: 1s - loss: 0.2492 - binary_accuracy: 0.9112"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"262/625 [===========>..................] - ETA: 1s - loss: 0.2489 - binary_accuracy: 0.9117"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"279/625 [============>.................] - ETA: 1s - loss: 0.2474 - binary_accuracy: 0.9131"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"296/625 [=============>................] - ETA: 0s - loss: 0.2500 - binary_accuracy: 0.9122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"313/625 [==============>...............] - ETA: 0s - loss: 0.2502 - binary_accuracy: 0.9124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"330/625 [==============>...............] - ETA: 0s - loss: 0.2493 - binary_accuracy: 0.9125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"347/625 [===============>..............] - ETA: 0s - loss: 0.2484 - binary_accuracy: 0.9121"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"364/625 [================>.............] - ETA: 0s - loss: 0.2473 - binary_accuracy: 0.9124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"381/625 [=================>............] - ETA: 0s - loss: 0.2467 - binary_accuracy: 0.9122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"398/625 [==================>...........] - ETA: 0s - loss: 0.2462 - binary_accuracy: 0.9119"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"415/625 [==================>...........] - ETA: 0s - loss: 0.2455 - binary_accuracy: 0.9124"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"432/625 [===================>..........] - ETA: 0s - loss: 0.2444 - binary_accuracy: 0.9125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"449/625 [====================>.........] - ETA: 0s - loss: 0.2441 - binary_accuracy: 0.9126"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"466/625 [=====================>........] - ETA: 0s - loss: 0.2436 - binary_accuracy: 0.9128"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"483/625 [======================>.......] - ETA: 0s - loss: 0.2443 - binary_accuracy: 0.9122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"500/625 [=======================>......] - ETA: 0s - loss: 0.2432 - binary_accuracy: 0.9129"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"517/625 [=======================>......] - ETA: 0s - loss: 0.2425 - binary_accuracy: 0.9133"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"534/625 [========================>.....] - ETA: 0s - loss: 0.2429 - binary_accuracy: 0.9129"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"551/625 [=========================>....] - ETA: 0s - loss: 0.2430 - binary_accuracy: 0.9130"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"568/625 [==========================>...] - ETA: 0s - loss: 0.2425 - binary_accuracy: 0.9134"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"585/625 [===========================>..] - ETA: 0s - loss: 0.2433 - binary_accuracy: 0.9132"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"602/625 [===========================>..] - ETA: 0s - loss: 0.2439 - binary_accuracy: 0.9129"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"619/625 [============================>.] - ETA: 0s - loss: 0.2444 - binary_accuracy: 0.9123"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.2440 - binary_accuracy: 0.9125 - val_loss: 0.2958 - val_binary_accuracy: 0.8790\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 10/10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/625 [..............................] - ETA: 2s - loss: 0.2252 - binary_accuracy: 0.9375"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/625 [..............................] - ETA: 1s - loss: 0.2309 - binary_accuracy: 0.9288"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/625 [>.............................] - ETA: 1s - loss: 0.2302 - binary_accuracy: 0.9205"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/625 [=>............................] - ETA: 1s - loss: 0.2294 - binary_accuracy: 0.9201"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/625 [==>...........................] - ETA: 1s - loss: 0.2323 - binary_accuracy: 0.9207"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/625 [===>..........................] - ETA: 1s - loss: 0.2322 - binary_accuracy: 0.9182"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/625 [===>..........................] - ETA: 1s - loss: 0.2380 - binary_accuracy: 0.9157"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"119/625 [====>.........................] - ETA: 1s - loss: 0.2353 - binary_accuracy: 0.9168"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"135/625 [=====>........................] - ETA: 1s - loss: 0.2345 - binary_accuracy: 0.9153"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"152/625 [======>.......................] - ETA: 1s - loss: 0.2357 - binary_accuracy: 0.9141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"169/625 [=======>......................] - ETA: 1s - loss: 0.2347 - binary_accuracy: 0.9133"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"186/625 [=======>......................] - ETA: 1s - loss: 0.2335 - binary_accuracy: 0.9141"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"203/625 [========>.....................] - ETA: 1s - loss: 0.2345 - binary_accuracy: 0.9139"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"219/625 [=========>....................] - ETA: 1s - loss: 0.2329 - binary_accuracy: 0.9145"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"236/625 [==========>...................] - ETA: 1s - loss: 0.2353 - binary_accuracy: 0.9127"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"253/625 [===========>..................] - ETA: 1s - loss: 0.2348 - binary_accuracy: 0.9130"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"270/625 [===========>..................] - ETA: 1s - loss: 0.2334 - binary_accuracy: 0.9145"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/625 [============>.................] - ETA: 1s - loss: 0.2348 - binary_accuracy: 0.9142"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"304/625 [=============>................] - ETA: 0s - loss: 0.2354 - binary_accuracy: 0.9147"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"321/625 [==============>...............] - ETA: 0s - loss: 0.2353 - binary_accuracy: 0.9148"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"338/625 [===============>..............] - ETA: 0s - loss: 0.2342 - binary_accuracy: 0.9150"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"355/625 [================>.............] - ETA: 0s - loss: 0.2338 - binary_accuracy: 0.9150"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"372/625 [================>.............] - ETA: 0s - loss: 0.2328 - binary_accuracy: 0.9153"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"389/625 [=================>............] - ETA: 0s - loss: 0.2322 - binary_accuracy: 0.9154"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"407/625 [==================>...........] - ETA: 0s - loss: 0.2310 - binary_accuracy: 0.9162"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"424/625 [===================>..........] - ETA: 0s - loss: 0.2307 - binary_accuracy: 0.9164"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"441/625 [====================>.........] - ETA: 0s - loss: 0.2295 - binary_accuracy: 0.9167"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"458/625 [====================>.........] - ETA: 0s - loss: 0.2295 - binary_accuracy: 0.9166"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"475/625 [=====================>........] - ETA: 0s - loss: 0.2300 - binary_accuracy: 0.9163"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"492/625 [======================>.......] - ETA: 0s - loss: 0.2291 - binary_accuracy: 0.9164"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"510/625 [=======================>......] - ETA: 0s - loss: 0.2279 - binary_accuracy: 0.9172"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"527/625 [========================>.....] - ETA: 0s - loss: 0.2281 - binary_accuracy: 0.9169"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"545/625 [=========================>....] - ETA: 0s - loss: 0.2287 - binary_accuracy: 0.9168"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"563/625 [==========================>...] - ETA: 0s - loss: 0.2280 - binary_accuracy: 0.9178"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"580/625 [==========================>...] - ETA: 0s - loss: 0.2291 - binary_accuracy: 0.9174"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"598/625 [===========================>..] - ETA: 0s - loss: 0.2293 - binary_accuracy: 0.9171"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"615/625 [============================>.] - ETA: 0s - loss: 0.2298 - binary_accuracy: 0.9167"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/625 [==============================] - 2s 3ms/step - loss: 0.2297 - binary_accuracy: 0.9165 - val_loss: 0.2910 - val_binary_accuracy: 0.8802\n"
]
}
],
"source": [
"epochs = 10\n",
"history = model.fit(\n",
" train_ds,\n",
" validation_data=val_ds,\n",
" epochs=epochs)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9EEGuDVuzb5r"
},
"source": [
"### モデルを評価する\n",
"\n",
"モデルがどのように実行するか見てみましょう。2 つの値が返されます。損失（誤差、値が低いほど良）と正確度です。"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:42:56.712841Z",
"iopub.status.busy": "2024-01-11T21:42:56.712149Z",
"iopub.status.idle": "2024-01-11T21:42:58.341410Z",
"shell.execute_reply": "2024-01-11T21:42:58.340620Z"
},
"id": "zOMKywn4zReN"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/782 [..............................] - ETA: 1:02 - loss: 0.3379 - binary_accuracy: 0.9062"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/782 [>.............................] - ETA: 1s - loss: 0.3001 - binary_accuracy: 0.8935 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/782 [=>............................] - ETA: 1s - loss: 0.3045 - binary_accuracy: 0.8827"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/782 [==>...........................] - ETA: 1s - loss: 0.2975 - binary_accuracy: 0.8824"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"106/782 [===>..........................] - ETA: 1s - loss: 0.3028 - binary_accuracy: 0.8791"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"132/782 [====>.........................] - ETA: 1s - loss: 0.3065 - binary_accuracy: 0.8762"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"157/782 [=====>........................] - ETA: 1s - loss: 0.3030 - binary_accuracy: 0.8784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"182/782 [=====>........................] - ETA: 1s - loss: 0.3018 - binary_accuracy: 0.8793"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"208/782 [======>.......................] - ETA: 1s - loss: 0.3034 - binary_accuracy: 0.8788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"234/782 [=======>......................] - ETA: 1s - loss: 0.3046 - binary_accuracy: 0.8787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"260/782 [========>.....................] - ETA: 1s - loss: 0.3057 - binary_accuracy: 0.8774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"286/782 [=========>....................] - ETA: 0s - loss: 0.3056 - binary_accuracy: 0.8774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/782 [==========>...................] - ETA: 0s - loss: 0.3088 - binary_accuracy: 0.8758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"337/782 [===========>..................] - ETA: 0s - loss: 0.3071 - binary_accuracy: 0.8761"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"363/782 [============>.................] - ETA: 0s - loss: 0.3074 - binary_accuracy: 0.8759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"389/782 [=============>................] - ETA: 0s - loss: 0.3095 - binary_accuracy: 0.8740"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"415/782 [==============>...............] - ETA: 0s - loss: 0.3090 - binary_accuracy: 0.8738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"441/782 [===============>..............] - ETA: 0s - loss: 0.3092 - binary_accuracy: 0.8734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"467/782 [================>.............] - ETA: 0s - loss: 0.3092 - binary_accuracy: 0.8740"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"493/782 [=================>............] - ETA: 0s - loss: 0.3101 - binary_accuracy: 0.8735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"519/782 [==================>...........] - ETA: 0s - loss: 0.3087 - binary_accuracy: 0.8739"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"545/782 [===================>..........] - ETA: 0s - loss: 0.3111 - binary_accuracy: 0.8727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"571/782 [====================>.........] - ETA: 0s - loss: 0.3112 - binary_accuracy: 0.8727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"597/782 [=====================>........] - ETA: 0s - loss: 0.3110 - binary_accuracy: 0.8727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"622/782 [======================>.......] - ETA: 0s - loss: 0.3115 - binary_accuracy: 0.8722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"647/782 [=======================>......] - ETA: 0s - loss: 0.3114 - binary_accuracy: 0.8722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"673/782 [========================>.....] - ETA: 0s - loss: 0.3118 - binary_accuracy: 0.8719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"700/782 [=========================>....] - ETA: 0s - loss: 0.3111 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"726/782 [==========================>...] - ETA: 0s - loss: 0.3110 - binary_accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"753/782 [===========================>..] - ETA: 0s - loss: 0.3108 - binary_accuracy: 0.8731"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"779/782 [============================>.] - ETA: 0s - loss: 0.3098 - binary_accuracy: 0.8735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"782/782 [==============================] - 2s 2ms/step - loss: 0.3099 - binary_accuracy: 0.8734\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loss: 0.30990463495254517\n",
"Accuracy: 0.8733999729156494\n"
]
}
],
"source": [
"loss, accuracy = model.evaluate(test_ds)\n",
"\n",
"print(\"Loss: \", loss)\n",
"print(\"Accuracy: \", accuracy)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "z1iEXVTR0Z2t"
},
"source": [
"この、かなり素朴なアプローチでも 86% 前後の正解度を達成しました。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ldbQqCw2Xc1W"
},
"source": [
"### 経時的な正解度と損失のグラフを作成する\n",
"\n",
"`model.fit()` は、トレーニング中に発生したすべての情報を詰まったディクショナリを含む `History` オブジェクトを返します。"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:42:58.344798Z",
"iopub.status.busy": "2024-01-11T21:42:58.344552Z",
"iopub.status.idle": "2024-01-11T21:42:58.349324Z",
"shell.execute_reply": "2024-01-11T21:42:58.348614Z"
},
"id": "-YcvZsdvWfDf"
},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['loss', 'binary_accuracy', 'val_loss', 'val_binary_accuracy'])"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"history_dict = history.history\n",
"history_dict.keys()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1_CH32qJXruI"
},
"source": [
"トレーニングと検証中に監視されている各メトリックに対して 1 つずつ、計 4 つのエントリがあります。このエントリを使用して、トレーニングと検証の損失とトレーニングと検証の正解度を比較したグラフを作成することができます。"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:42:58.352316Z",
"iopub.status.busy": "2024-01-11T21:42:58.352071Z",
"iopub.status.idle": "2024-01-11T21:42:58.504868Z",
"shell.execute_reply": "2024-01-11T21:42:58.504284Z"
},
"id": "2SEMeQ5YXs8z"
},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"acc = history_dict['binary_accuracy']\n",
"val_acc = history_dict['val_binary_accuracy']\n",
"loss = history_dict['loss']\n",
"val_loss = history_dict['val_loss']\n",
"\n",
"epochs = range(1, len(acc) + 1)\n",
"\n",
"# \"bo\" is for \"blue dot\"\n",
"plt.plot(epochs, loss, 'bo', label='Training loss')\n",
"# b is for \"solid blue line\"\n",
"plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
"plt.title('Training and validation loss')\n",
"plt.xlabel('Epochs')\n",
"plt.ylabel('Loss')\n",
"plt.legend()\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:42:58.507814Z",
"iopub.status.busy": "2024-01-11T21:42:58.507583Z",
"iopub.status.idle": "2024-01-11T21:42:58.643736Z",
"shell.execute_reply": "2024-01-11T21:42:58.643165Z"
},
"id": "Z3PJemLPXwz_"
},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(epochs, acc, 'bo', label='Training acc')\n",
"plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
"plt.title('Training and validation accuracy')\n",
"plt.xlabel('Epochs')\n",
"plt.ylabel('Accuracy')\n",
"plt.legend(loc='lower right')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hFFyCuJoXy7r"
},
"source": [
"このグラフでは、点はトレーニングの損失と正解度を表し、実線は検証の損失と正解度を表します。\n",
"\n",
"トレーニングの損失がエポックごとに*下降*し、トレーニングの正解度がエポックごとに*上昇*していることに注目してください。これは、勾配下降最適化を使用しているときに見られる現象で、イテレーションごとに希望する量を最小化します。\n",
"\n",
"これは検証の損失と精度には当てはまりません。これらはトレーニング精度の前にピークに達しているようです。これが過適合の例で、モデルが、遭遇したことのないデータよりもトレーニングデータで優れたパフォーマンスを発揮する現象です。この後、モデルは過度に最適化し、テストデータに*一般化*しないトレーニングデータ*特有*の表現を学習します。\n",
"\n",
"この特定のケースでは、検証の正解度が向上しなくなったときにトレーニングを停止することにより、過適合を防ぐことができます。これを行うには、`tf.keras.callbacks.EarlyStopping` コールバックを使用することができます。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-to23J3Vy5d3"
},
"source": [
"## モデルをエクスポートする\n",
"\n",
"上記のコードでは、モデルにテキストをフィードする前に、`TextVectorization` レイヤーをデータセットに適用しました。モデルで生の文字列を処理できるようにする場合 (たとえば、展開を簡素化するため)、モデル内に `TextVectorization` レイヤーを含めることができます。これを行うには、トレーニングしたばかりの重みを使用して新しいモデルを作成します。"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:42:58.646847Z",
"iopub.status.busy": "2024-01-11T21:42:58.646604Z",
"iopub.status.idle": "2024-01-11T21:43:01.810757Z",
"shell.execute_reply": "2024-01-11T21:43:01.810020Z"
},
"id": "FWXsMvryuZuq"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/782 [..............................] - ETA: 4:11 - loss: 0.2929 - accuracy: 0.8438"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/782 [..............................] - ETA: 2s - loss: 0.2773 - accuracy: 0.8929 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/782 [>.............................] - ETA: 2s - loss: 0.3050 - accuracy: 0.8873"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/782 [>.............................] - ETA: 2s - loss: 0.3062 - accuracy: 0.8810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/782 [=>............................] - ETA: 2s - loss: 0.3059 - accuracy: 0.8806"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/782 [=>............................] - ETA: 2s - loss: 0.3038 - accuracy: 0.8790"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/782 [==>...........................] - ETA: 2s - loss: 0.3022 - accuracy: 0.8798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/782 [==>...........................] - ETA: 2s - loss: 0.3017 - accuracy: 0.8804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"113/782 [===>..........................] - ETA: 2s - loss: 0.3046 - accuracy: 0.8772"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"128/782 [===>..........................] - ETA: 2s - loss: 0.3082 - accuracy: 0.8750"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"142/782 [====>.........................] - ETA: 2s - loss: 0.3047 - accuracy: 0.8768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"157/782 [=====>........................] - ETA: 2s - loss: 0.3022 - accuracy: 0.8790"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/782 [=====>........................] - ETA: 2s - loss: 0.3001 - accuracy: 0.8805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"185/782 [======>.......................] - ETA: 2s - loss: 0.3024 - accuracy: 0.8796"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"200/782 [======>.......................] - ETA: 2s - loss: 0.3027 - accuracy: 0.8797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"215/782 [=======>......................] - ETA: 2s - loss: 0.3031 - accuracy: 0.8797"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"229/782 [=======>......................] - ETA: 2s - loss: 0.3044 - accuracy: 0.8784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"244/782 [========>.....................] - ETA: 1s - loss: 0.3061 - accuracy: 0.8777"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/782 [========>.....................] - ETA: 1s - loss: 0.3056 - accuracy: 0.8772"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"273/782 [=========>....................] - ETA: 1s - loss: 0.3054 - accuracy: 0.8779"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"288/782 [==========>...................] - ETA: 1s - loss: 0.3078 - accuracy: 0.8770"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"302/782 [==========>...................] - ETA: 1s - loss: 0.3071 - accuracy: 0.8771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"317/782 [===========>..................] - ETA: 1s - loss: 0.3086 - accuracy: 0.8756"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"332/782 [===========>..................] - ETA: 1s - loss: 0.3077 - accuracy: 0.8755"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"347/782 [============>.................] - ETA: 1s - loss: 0.3077 - accuracy: 0.8755"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"361/782 [============>.................] - ETA: 1s - loss: 0.3073 - accuracy: 0.8759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"375/782 [=============>................] - ETA: 1s - loss: 0.3081 - accuracy: 0.8755"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"390/782 [=============>................] - ETA: 1s - loss: 0.3091 - accuracy: 0.8746"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"405/782 [==============>...............] - ETA: 1s - loss: 0.3086 - accuracy: 0.8741"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"420/782 [===============>..............] - ETA: 1s - loss: 0.3093 - accuracy: 0.8734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"435/782 [===============>..............] - ETA: 1s - loss: 0.3095 - accuracy: 0.8732"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"450/782 [================>.............] - ETA: 1s - loss: 0.3087 - accuracy: 0.8739"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"465/782 [================>.............] - ETA: 1s - loss: 0.3096 - accuracy: 0.8739"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"480/782 [=================>............] - ETA: 1s - loss: 0.3100 - accuracy: 0.8738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"495/782 [=================>............] - ETA: 1s - loss: 0.3099 - accuracy: 0.8735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"510/782 [==================>...........] - ETA: 0s - loss: 0.3097 - accuracy: 0.8735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"524/782 [===================>..........] - ETA: 0s - loss: 0.3096 - accuracy: 0.8734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"539/782 [===================>..........] - ETA: 0s - loss: 0.3113 - accuracy: 0.8726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"554/782 [====================>.........] - ETA: 0s - loss: 0.3122 - accuracy: 0.8721"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"568/782 [====================>.........] - ETA: 0s - loss: 0.3111 - accuracy: 0.8729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"583/782 [=====================>........] - ETA: 0s - loss: 0.3109 - accuracy: 0.8729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"597/782 [=====================>........] - ETA: 0s - loss: 0.3110 - accuracy: 0.8729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"611/782 [======================>.......] - ETA: 0s - loss: 0.3110 - accuracy: 0.8726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"625/782 [======================>.......] - ETA: 0s - loss: 0.3116 - accuracy: 0.8722"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"639/782 [=======================>......] - ETA: 0s - loss: 0.3106 - accuracy: 0.8726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"654/782 [========================>.....] - ETA: 0s - loss: 0.3116 - accuracy: 0.8719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"669/782 [========================>.....] - ETA: 0s - loss: 0.3118 - accuracy: 0.8717"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"684/782 [=========================>....] - ETA: 0s - loss: 0.3111 - accuracy: 0.8727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"699/782 [=========================>....] - ETA: 0s - loss: 0.3113 - accuracy: 0.8726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"714/782 [==========================>...] - ETA: 0s - loss: 0.3104 - accuracy: 0.8730"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"729/782 [==========================>...] - ETA: 0s - loss: 0.3113 - accuracy: 0.8728"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"744/782 [===========================>..] - ETA: 0s - loss: 0.3107 - accuracy: 0.8731"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"758/782 [============================>.] - ETA: 0s - loss: 0.3102 - accuracy: 0.8731"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"773/782 [============================>.] - ETA: 0s - loss: 0.3094 - accuracy: 0.8737"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"782/782 [==============================] - 3s 4ms/step - loss: 0.3099 - accuracy: 0.8734\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.8733999729156494\n"
]
}
],
"source": [
"export_model = tf.keras.Sequential([\n",
" vectorize_layer,\n",
" model,\n",
" layers.Activation('sigmoid')\n",
"])\n",
"\n",
"export_model.compile(\n",
" loss=losses.BinaryCrossentropy(from_logits=False), optimizer=\"adam\", metrics=['accuracy']\n",
")\n",
"\n",
"# Test it with `raw_test_ds`, which yields raw strings\n",
"loss, accuracy = export_model.evaluate(raw_test_ds)\n",
"print(accuracy)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TwQgoN88LoEF"
},
"source": [
"### 新しいデータの推論\n",
"\n",
"新しい例の予測を取得するには、`model.predict()`を呼び出します。"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"execution": {
"iopub.execute_input": "2024-01-11T21:43:01.814554Z",
"iopub.status.busy": "2024-01-11T21:43:01.813967Z",
"iopub.status.idle": "2024-01-11T21:43:02.035954Z",
"shell.execute_reply": "2024-01-11T21:43:02.035331Z"
},
"id": "QW355HH5L49K"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"1/1 [==============================] - 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\r",
"1/1 [==============================] - 0s 175ms/step\n"
]
},
{
"data": {
"text/plain": [
"array([[0.61918825],\n",
" [0.44328377],\n",
" [0.3598296 ]], dtype=float32)"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"examples = [\n",
" \"The movie was great!\",\n",
" \"The movie was okay.\",\n",
" \"The movie was terrible...\"\n",
"]\n",
"\n",
"export_model.predict(examples)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MaxlpFWpzR6c"
},
"source": [
"モデル内にテキスト前処理ロジックを含めると、モデルを本番環境にエクスポートして展開を簡素化し、[トレーニング/テストスキュー](https://developers.google.com/machine-learning/guides/rules-of-ml#training-serving_skew)の可能性を減らすことができます。\n",
"\n",
"TextVectorization レイヤーを適用する場所を選択する際に性能の違いに留意する必要があります。モデルの外部で使用すると、GPU でトレーニングするときに非同期 CPU 処理とデータのバッファリングを行うことができます。したがって、GPU でモデルをトレーニングしている場合は、モデルの開発中に最高のパフォーマンスを得るためにこのオプションを使用し、デプロイの準備ができたらモデル内に TextVectorization レイヤーを含めるように切り替えることをお勧めします。\n",
"\n",
"モデルの保存の詳細については、この[チュートリアル](https://www.tensorflow.org/tutorials/keras/save_and_load)にアクセスしてください。"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eSSuci_6nCEG"
},
"source": [
"## 演習：StackOverflow の質問に対するマルチクラス分類\n",
"\n",
"このチュートリアルでは、IMDB データセットで二項分類器を最初からトレーニングする方法を示しました。演習として、このノートブックを変更して、[Stack Overflow](http://stackoverflow.com/) のプログラミング質問のタグを予測するマルチクラス分類器をトレーニングできます。\n",
"\n",
"Stack Overflow に投稿された数千のプログラミングに関する質問（たとえば、「Python でディクショナリを値で並べ替える方法」）の本文を含む[データセット](https://storage.googleapis.com/download.tensorflow.org/data/stack_overflow_16k.tar.gz)が用意されています。それぞれ、1 つのタグ（Python、CSharp、JavaScript、または Java のいずれか）でラベル付けされています。この演習では、質問を入力として受け取り、適切なタグ（この場合は Python）を予測します。\n",
"\n",
"使用するデータセットには、1,700 万件以上の投稿を含む [BigQuery](https://console.cloud.google.com/marketplace/details/stack-exchange/stack-overflow) の大規模な StackOverflow パブリックデータセットから抽出された数千の質問が含まれています。\n",
"\n",
"データセットをダウンロードすると、以前に使用した IMDB データセットと同様のディレクトリ構造になっていることがわかります。\n",
"\n",
"```\n",
"train/\n",
"...python/\n",
"......0.txt\n",
"......1.txt\n",
"...javascript/\n",
"......0.txt\n",
"......1.txt\n",
"...csharp/\n",
"......0.txt\n",
"......1.txt\n",
"...java/\n",
"......0.txt\n",
"......1.txt\n",
"```\n",
"\n",
"注意: 分類問題の難易度を上げるために、プログラミングの質問での Python、CSharp、JavaScript、または Java という単語は、*blank* という単語に置き換えられました（多くの質問には、対象の言語が含まれているため）。\n",
"\n",
"この演習を完了するには、、このノートブックを変更してStackOverflow データセットを操作する必要があります。次の変更を行います。\n",
"\n",
"1. ノートブックの上部で、IMDB データセットをダウンロードするコードを、事前に準備されている [Stack Overflow データセット](https://storage.googleapis.com/download.tensorflow.org/data/stack_overflow_16k.tar.gz)をダウンロードするコードで更新します。Stack Overflow データセットは同様のディレクトリ構造を持っているため、多くの変更を加える必要はありません。\n",
"\n",
"2. 4 つの出力クラスがあるため、モデルの最後のレイヤーを `Dense(4)` に変更します。\n",
"\n",
"3. モデルをコンパイルするときは、損失を `tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)` に変更します。これは、各クラスのラベルが整数である場合に、マルチクラス分類問題に使用する正しい損失関数です。(この場合、 0、*1*、*2*、または 3 のいずれかになります)。さらに、これはマルチクラス分類の問題であるため、メトリックを `metrics=['accuracy']` に変更します (tf.metrics.BinaryAccuracy はバイナリ分類器にのみ使用されます)。\n",
"\n",
"4. 経時的な精度をプロットする場合は、`binary_accuracy` および `val_binary_accuracy`をそれぞれ `accuracy` および `val_accuracy` に変更します。\n",
"\n",
"5. これらの変更が完了すると、マルチクラス分類器をトレーニングできるようになります。 "
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "F0T5SIwSm7uc"
},
"source": [
"## 詳細\n",
"\n",
"このチュートリアルでは、最初からテキスト分類を実行する方法を紹介しました。一般的なテキスト分類ワークフローの詳細については、Google Developers の[テキスト分類ガイド](https://developers.google.com/machine-learning/guides/text-classification/)をご覧ください。\n"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [],
"name": "text_classification.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