{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "xLOXFOT5Q40E"
},
"source": [
"##### Copyright 2020 The TensorFlow Authors."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"cellView": "form",
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:38:41.899170Z",
"iopub.status.busy": "2024-05-18T11:38:41.898699Z",
"iopub.status.idle": "2024-05-18T11:38:41.902565Z",
"shell.execute_reply": "2024-05-18T11:38:41.901934Z"
},
"id": "iiQkM5ZgQ8r2"
},
"outputs": [],
"source": [
"#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# https://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License."
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "j6331ZSsQGY3"
},
"source": [
"# MNIST classification"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "i9Jcnb8bQQyd"
},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "udLObUVeGfTs"
},
"source": [
"This tutorial builds a quantum neural network (QNN) to classify a simplified version of MNIST, similar to the approach used in Farhi et al . The performance of the quantum neural network on this classical data problem is compared with a classical neural network."
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "X35qHdh5Gzqg"
},
"source": [
"## Setup"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:38:41.906197Z",
"iopub.status.busy": "2024-05-18T11:38:41.905771Z",
"iopub.status.idle": "2024-05-18T11:39:07.287601Z",
"shell.execute_reply": "2024-05-18T11:39:07.286681Z"
},
"id": "TorxE5tnkvb2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow==2.15.0\r\n",
" Using cached tensorflow-2.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.4 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: absl-py>=1.0.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (2.1.0)\r\n",
"Requirement already satisfied: astunparse>=1.6.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (1.6.3)\r\n",
"Requirement already satisfied: flatbuffers>=23.5.26 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (24.3.25)\r\n",
"Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (0.5.4)\r\n",
"Requirement already satisfied: google-pasta>=0.1.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (0.2.0)\r\n",
"Requirement already satisfied: h5py>=2.9.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (3.11.0)\r\n",
"Requirement already satisfied: libclang>=13.0.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (18.1.1)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting ml-dtypes~=0.2.0 (from tensorflow==2.15.0)\r\n",
" Using cached ml_dtypes-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)\r\n",
"Requirement already satisfied: numpy<2.0.0,>=1.23.5 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (1.26.4)\r\n",
"Requirement already satisfied: opt-einsum>=2.3.2 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (3.3.0)\r\n",
"Requirement already satisfied: packaging in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (24.0)\r\n",
"Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (3.20.3)\r\n",
"Requirement already satisfied: setuptools in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (69.5.1)\r\n",
"Requirement already satisfied: six>=1.12.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (1.16.0)\r\n",
"Requirement already satisfied: termcolor>=1.1.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (2.4.0)\r\n",
"Requirement already satisfied: typing-extensions>=3.6.6 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (4.12.0rc1)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting wrapt<1.15,>=1.11.0 (from tensorflow==2.15.0)\r\n",
" Using cached wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)\r\n",
"Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (0.37.0)\r\n",
"Requirement already satisfied: grpcio<2.0,>=1.24.3 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow==2.15.0) (1.64.0rc1)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorboard<2.16,>=2.15 (from tensorflow==2.15.0)\r\n",
" Using cached tensorboard-2.15.2-py3-none-any.whl.metadata (1.7 kB)\r\n",
"Collecting tensorflow-estimator<2.16,>=2.15.0 (from tensorflow==2.15.0)\r\n",
" Using cached tensorflow_estimator-2.15.0-py2.py3-none-any.whl.metadata (1.3 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting keras<2.16,>=2.15.0 (from tensorflow==2.15.0)\r\n",
" Using cached keras-2.15.0-py3-none-any.whl.metadata (2.4 kB)\r\n",
"Requirement already satisfied: wheel<1.0,>=0.23.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from astunparse>=1.6.0->tensorflow==2.15.0) (0.41.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting google-auth<3,>=1.6.3 (from tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Using cached google_auth-2.29.0-py2.py3-none-any.whl.metadata (4.7 kB)\r\n",
"Collecting google-auth-oauthlib<2,>=0.5 (from tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached google_auth_oauthlib-1.2.0-py2.py3-none-any.whl.metadata (2.7 kB)\r\n",
"Requirement already satisfied: markdown>=2.6.8 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorboard<2.16,>=2.15->tensorflow==2.15.0) (3.6)\r\n",
"Requirement already satisfied: requests<3,>=2.21.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorboard<2.16,>=2.15->tensorflow==2.15.0) (2.31.0)\r\n",
"Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorboard<2.16,>=2.15->tensorflow==2.15.0) (0.7.2)\r\n",
"Requirement already satisfied: werkzeug>=1.0.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorboard<2.16,>=2.15->tensorflow==2.15.0) (3.0.3)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: cachetools<6.0,>=2.0.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (5.3.3)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting pyasn1-modules>=0.2.1 (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached pyasn1_modules-0.4.0-py3-none-any.whl.metadata (3.4 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached rsa-4.9-py3-none-any.whl.metadata (4.2 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached requests_oauthlib-2.0.0-py2.py3-none-any.whl.metadata (11 kB)\r\n",
"Requirement already satisfied: importlib-metadata>=4.4 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from markdown>=2.6.8->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (7.1.0)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: charset-normalizer<4,>=2 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3,>=2.21.0->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (3.3.2)\r\n",
"Requirement already satisfied: idna<4,>=2.5 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3,>=2.21.0->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (3.7)\r\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3,>=2.21.0->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (2.2.1)\r\n",
"Requirement already satisfied: certifi>=2017.4.17 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3,>=2.21.0->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (2024.2.2)\r\n",
"Requirement already satisfied: MarkupSafe>=2.1.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from werkzeug>=1.0.1->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (2.1.5)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: zipp>=0.5 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<2.16,>=2.15->tensorflow==2.15.0) (3.18.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting pyasn1<0.7.0,>=0.4.6 (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached pyasn1-0.6.0-py2.py3-none-any.whl.metadata (8.3 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<2,>=0.5->tensorboard<2.16,>=2.15->tensorflow==2.15.0)\r\n",
" Using cached oauthlib-3.2.2-py3-none-any.whl.metadata (7.5 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached tensorflow-2.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (475.2 MB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached keras-2.15.0-py3-none-any.whl (1.7 MB)\r\n",
"Using cached ml_dtypes-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached tensorboard-2.15.2-py3-none-any.whl (5.5 MB)\r\n",
"Using cached tensorflow_estimator-2.15.0-py2.py3-none-any.whl (441 kB)\r\n",
"Using cached wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (77 kB)\r\n",
"Using cached google_auth-2.29.0-py2.py3-none-any.whl (189 kB)\r\n",
"Using cached google_auth_oauthlib-1.2.0-py2.py3-none-any.whl (24 kB)\r\n",
"Using cached pyasn1_modules-0.4.0-py3-none-any.whl (181 kB)\r\n",
"Using cached requests_oauthlib-2.0.0-py2.py3-none-any.whl (24 kB)\r\n",
"Using cached rsa-4.9-py3-none-any.whl (34 kB)\r\n",
"Using cached oauthlib-3.2.2-py3-none-any.whl (151 kB)\r\n",
"Using cached pyasn1-0.6.0-py2.py3-none-any.whl (85 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installing collected packages: wrapt, tensorflow-estimator, pyasn1, oauthlib, ml-dtypes, keras, rsa, requests-oauthlib, pyasn1-modules, google-auth, google-auth-oauthlib, tensorboard, tensorflow\r\n",
" Attempting uninstall: wrapt\r\n",
" Found existing installation: wrapt 1.16.0\r\n",
" Uninstalling wrapt-1.16.0:\r\n",
" Successfully uninstalled wrapt-1.16.0\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Attempting uninstall: ml-dtypes\r\n",
" Found existing installation: ml-dtypes 0.3.2\r\n",
" Uninstalling ml-dtypes-0.3.2:\r\n",
" Successfully uninstalled ml-dtypes-0.3.2\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Attempting uninstall: keras\r\n",
" Found existing installation: keras 3.3.3\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Uninstalling keras-3.3.3:\r\n",
" Successfully uninstalled keras-3.3.3\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Attempting uninstall: tensorboard\r\n",
" Found existing installation: tensorboard 2.16.2\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Uninstalling tensorboard-2.16.2:\r\n",
" Successfully uninstalled tensorboard-2.16.2\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Attempting uninstall: tensorflow\r\n",
" Found existing installation: tensorflow 2.16.1\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Uninstalling tensorflow-2.16.1:\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Successfully uninstalled tensorflow-2.16.1\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n",
"tf-keras 2.16.0 requires tensorflow<2.17,>=2.16, but you have tensorflow 2.15.0 which is incompatible.\u001b[0m\u001b[31m\r\n",
"\u001b[0mSuccessfully installed google-auth-2.29.0 google-auth-oauthlib-1.2.0 keras-2.15.0 ml-dtypes-0.2.0 oauthlib-3.2.2 pyasn1-0.6.0 pyasn1-modules-0.4.0 requests-oauthlib-2.0.0 rsa-4.9 tensorboard-2.15.2 tensorflow-2.15.0 tensorflow-estimator-2.15.0 wrapt-1.14.1\r\n"
]
}
],
"source": [
"!pip install tensorflow==2.15.0"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "FxkQA6oblNqI"
},
"source": [
"Install TensorFlow Quantum:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:07.292104Z",
"iopub.status.busy": "2024-05-18T11:39:07.291482Z",
"iopub.status.idle": "2024-05-18T11:39:19.491053Z",
"shell.execute_reply": "2024-05-18T11:39:19.490052Z"
},
"id": "saFHsRDpkvkH"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting tensorflow-quantum==0.7.3\r\n",
" Using cached tensorflow_quantum-0.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting cirq-core==1.3.0 (from tensorflow-quantum==0.7.3)\r\n",
" Using cached cirq_core-1.3.0-py3-none-any.whl.metadata (1.9 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting cirq-google==1.3.0 (from tensorflow-quantum==0.7.3)\r\n",
" Using cached cirq_google-1.3.0-py3-none-any.whl.metadata (2.0 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting sympy==1.12 (from tensorflow-quantum==0.7.3)\r\n",
" Using cached sympy-1.12-py3-none-any.whl.metadata (12 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting duet~=0.2.8 (from cirq-core==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached duet-0.2.9-py3-none-any.whl.metadata (2.3 kB)\r\n",
"Requirement already satisfied: matplotlib~=3.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (3.9.0)\r\n",
"Requirement already satisfied: networkx>=2.4 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (3.2.1)\r\n",
"Requirement already satisfied: numpy~=1.16 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (1.26.4)\r\n",
"Requirement already satisfied: pandas in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (2.2.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting sortedcontainers~=2.0 (from cirq-core==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached sortedcontainers-2.4.0-py2.py3-none-any.whl.metadata (10 kB)\r\n",
"Requirement already satisfied: scipy in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (1.13.0)\r\n",
"Requirement already satisfied: typing-extensions>=4.2 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (4.12.0rc1)\r\n",
"Requirement already satisfied: tqdm in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-core==1.3.0->tensorflow-quantum==0.7.3) (4.66.4)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting google-api-core>=1.14.0 (from google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached google_api_core-2.19.0-py3-none-any.whl.metadata (2.7 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting proto-plus>=1.20.0 (from cirq-google==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached proto_plus-1.23.0-py3-none-any.whl.metadata (2.2 kB)\r\n",
"Requirement already satisfied: protobuf>=3.15.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from cirq-google==1.3.0->tensorflow-quantum==0.7.3) (3.20.3)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting mpmath>=0.19 (from sympy==1.12->tensorflow-quantum==0.7.3)\r\n",
" Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting googleapis-common-protos<2.0.dev0,>=1.56.2 (from google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached googleapis_common_protos-1.63.0-py2.py3-none-any.whl.metadata (1.5 kB)\r\n",
"Requirement already satisfied: google-auth<3.0.dev0,>=2.14.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (2.29.0)\r\n",
"Requirement already satisfied: requests<3.0.0.dev0,>=2.18.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (2.31.0)\r\n",
"Requirement already satisfied: grpcio<2.0dev,>=1.33.2 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (1.64.0rc1)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting grpcio-status<2.0.dev0,>=1.33.2 (from google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Using cached grpcio_status-1.63.0-py3-none-any.whl.metadata (1.1 kB)\r\n",
"Requirement already satisfied: contourpy>=1.0.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (1.2.1)\r\n",
"Requirement already satisfied: cycler>=0.10 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (0.12.1)\r\n",
"Requirement already satisfied: fonttools>=4.22.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (4.51.0)\r\n",
"Requirement already satisfied: kiwisolver>=1.3.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (1.4.5)\r\n",
"Requirement already satisfied: packaging>=20.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (24.0)\r\n",
"Requirement already satisfied: pillow>=8 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (10.3.0)\r\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (3.1.2)\r\n",
"Requirement already satisfied: python-dateutil>=2.7 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (2.9.0.post0)\r\n",
"Requirement already satisfied: importlib-resources>=3.2.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (6.4.0)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pytz>=2020.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from pandas->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (2024.1)\r\n",
"Requirement already satisfied: tzdata>=2022.7 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from pandas->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (2024.1)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: cachetools<6.0,>=2.0.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-auth<3.0.dev0,>=2.14.1->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (5.3.3)\r\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-auth<3.0.dev0,>=2.14.1->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (0.4.0)\r\n",
"Requirement already satisfied: rsa<5,>=3.1.4 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from google-auth<3.0.dev0,>=2.14.1->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (4.9)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO: pip is looking at multiple versions of grpcio-status to determine which version is compatible with other requirements. This could take a while.\r\n",
" Using cached grpcio_status-1.62.2-py3-none-any.whl.metadata (1.3 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting protobuf>=3.15.0 (from cirq-google==1.3.0->tensorflow-quantum==0.7.3)\r\n",
" Using cached protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: zipp>=3.1.0 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from importlib-resources>=3.2.0->matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (3.18.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: six>=1.5 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib~=3.0->cirq-core==1.3.0->tensorflow-quantum==0.7.3) (1.16.0)\r\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (3.3.2)\r\n",
"Requirement already satisfied: idna<4,>=2.5 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (3.7)\r\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (2.2.1)\r\n",
"Requirement already satisfied: certifi>=2017.4.17 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (2024.2.2)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from pyasn1-modules>=0.2.1->google-auth<3.0.dev0,>=2.14.1->google-api-core>=1.14.0->google-api-core[grpc]>=1.14.0->cirq-google==1.3.0->tensorflow-quantum==0.7.3) (0.6.0)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached tensorflow_quantum-0.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.8 MB)\r\n",
"Using cached cirq_core-1.3.0-py3-none-any.whl (1.8 MB)\r\n",
"Using cached cirq_google-1.3.0-py3-none-any.whl (598 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cached sympy-1.12-py3-none-any.whl (5.7 MB)\r\n",
"Using cached duet-0.2.9-py3-none-any.whl (29 kB)\r\n",
"Using cached google_api_core-2.19.0-py3-none-any.whl (139 kB)\r\n",
"Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)\r\n",
"Using cached proto_plus-1.23.0-py3-none-any.whl (48 kB)\r\n",
"Using cached sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB)\r\n",
"Using cached googleapis_common_protos-1.63.0-py2.py3-none-any.whl (229 kB)\r\n",
"Using cached grpcio_status-1.62.2-py3-none-any.whl (14 kB)\r\n",
"Using cached protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl (294 kB)\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installing collected packages: sortedcontainers, mpmath, sympy, protobuf, duet, proto-plus, googleapis-common-protos, grpcio-status, google-api-core, cirq-core, cirq-google, tensorflow-quantum\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Attempting uninstall: protobuf\r\n",
" Found existing installation: protobuf 3.20.3\r\n",
" Uninstalling protobuf-3.20.3:\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" Successfully uninstalled protobuf-3.20.3\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n",
"tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < \"3.11\", but you have protobuf 4.25.3 which is incompatible.\r\n",
"tf-keras 2.16.0 requires tensorflow<2.17,>=2.16, but you have tensorflow 2.15.0 which is incompatible.\u001b[0m\u001b[31m\r\n",
"\u001b[0mSuccessfully installed cirq-core-1.3.0 cirq-google-1.3.0 duet-0.2.9 google-api-core-2.19.0 googleapis-common-protos-1.63.0 grpcio-status-1.62.2 mpmath-1.3.0 proto-plus-1.23.0 protobuf-4.25.3 sortedcontainers-2.4.0 sympy-1.12 tensorflow-quantum-0.7.3\r\n"
]
}
],
"source": [
"!pip install tensorflow-quantum==0.7.3"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:19.495507Z",
"iopub.status.busy": "2024-05-18T11:39:19.494776Z",
"iopub.status.idle": "2024-05-18T11:39:19.596216Z",
"shell.execute_reply": "2024-05-18T11:39:19.595575Z"
},
"id": "4Ql5PW-ACO0J"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmpfs/tmp/ipykernel_23360/1875984233.py:2: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n",
" import importlib, pkg_resources\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Update package resources to account for version changes.\n",
"import importlib, pkg_resources\n",
"importlib.reload(pkg_resources)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "hdgMMZEBGqyl"
},
"source": [
"Now import TensorFlow and the module dependencies:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:19.600105Z",
"iopub.status.busy": "2024-05-18T11:39:19.599614Z",
"iopub.status.idle": "2024-05-18T11:39:23.816143Z",
"shell.execute_reply": "2024-05-18T11:39:23.815295Z"
},
"id": "enZ300Bflq80"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-05-18 11:39:20.065737: 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",
"2024-05-18 11:39:20.065786: 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",
"2024-05-18 11:39:20.067281: 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"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-05-18 11:39:23.413260: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:274] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"import tensorflow_quantum as tfq\n",
"\n",
"import cirq\n",
"import sympy\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import collections\n",
"\n",
"# visualization tools\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"from cirq.contrib.svg import SVGCircuit"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "b08Mmbs8lr81"
},
"source": [
"## 1. Load the data\n",
"\n",
"In this tutorial you will build a binary classifier to distinguish between the digits 3 and 6, following Farhi et al. This section covers the data handling that:\n",
"\n",
"- Loads the raw data from Keras.\n",
"- Filters the dataset to only 3s and 6s.\n",
"- Downscales the images so they fit can fit in a quantum computer.\n",
"- Removes any contradictory examples.\n",
"- Converts the binary images to Cirq circuits.\n",
"- Converts the Cirq circuits to TensorFlow Quantum circuits. "
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "pDUdGxn-ojgy"
},
"source": [
"### 1.1 Load the raw data"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "xZyGXlaKojgz"
},
"source": [
"Load the MNIST dataset distributed with Keras. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:23.820959Z",
"iopub.status.busy": "2024-05-18T11:39:23.820030Z",
"iopub.status.idle": "2024-05-18T11:39:24.476112Z",
"shell.execute_reply": "2024-05-18T11:39:24.475308Z"
},
"id": "d9OSExvCojg0"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 8192/11490434 [..............................] - 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",
" 6807552/11490434 [================>.............] - 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",
"11490434/11490434 [==============================] - 0s 0us/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of original training examples: 60000\n",
"Number of original test examples: 10000\n"
]
}
],
"source": [
"(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\n",
"\n",
"# Rescale the images from [0,255] to the [0.0,1.0] range.\n",
"x_train, x_test = x_train[..., np.newaxis]/255.0, x_test[..., np.newaxis]/255.0\n",
"\n",
"print(\"Number of original training examples:\", len(x_train))\n",
"print(\"Number of original test examples:\", len(x_test))"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "fZpbygdGojg3"
},
"source": [
"Filter the dataset to keep just the 3s and 6s, remove the other classes. At the same time convert the label, `y`, to boolean: `True` for `3` and `False` for 6. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:24.479951Z",
"iopub.status.busy": "2024-05-18T11:39:24.479379Z",
"iopub.status.idle": "2024-05-18T11:39:24.483613Z",
"shell.execute_reply": "2024-05-18T11:39:24.482911Z"
},
"id": "hOw68cCZojg4"
},
"outputs": [],
"source": [
"def filter_36(x, y):\n",
" keep = (y == 3) | (y == 6)\n",
" x, y = x[keep], y[keep]\n",
" y = y == 3\n",
" return x,y"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:24.486921Z",
"iopub.status.busy": "2024-05-18T11:39:24.486360Z",
"iopub.status.idle": "2024-05-18T11:39:24.530478Z",
"shell.execute_reply": "2024-05-18T11:39:24.529716Z"
},
"id": "p-XEU8egGL6q"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of filtered training examples: 12049\n",
"Number of filtered test examples: 1968\n"
]
}
],
"source": [
"x_train, y_train = filter_36(x_train, y_train)\n",
"x_test, y_test = filter_36(x_test, y_test)\n",
"\n",
"print(\"Number of filtered training examples:\", len(x_train))\n",
"print(\"Number of filtered test examples:\", len(x_test))"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "3wyiaP0Xojg_"
},
"source": [
"Show the first example:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:24.534443Z",
"iopub.status.busy": "2024-05-18T11:39:24.533711Z",
"iopub.status.idle": "2024-05-18T11:39:24.792433Z",
"shell.execute_reply": "2024-05-18T11:39:24.791726Z"
},
"id": "j5STP7MbojhA"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(y_train[0])\n",
"\n",
"plt.imshow(x_train[0, :, :, 0])\n",
"plt.colorbar()"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "wNS9sVPQojhC"
},
"source": [
"### 1.2 Downscale the images"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "fmmtplIFGL6t"
},
"source": [
"An image size of 28x28 is much too large for current quantum computers. Resize the image down to 4x4:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:24.796285Z",
"iopub.status.busy": "2024-05-18T11:39:24.795667Z",
"iopub.status.idle": "2024-05-18T11:39:24.931248Z",
"shell.execute_reply": "2024-05-18T11:39:24.930442Z"
},
"id": "lbhUdBFWojhE",
"scrolled": false
},
"outputs": [],
"source": [
"x_train_small = tf.image.resize(x_train, (4,4)).numpy()\n",
"x_test_small = tf.image.resize(x_test, (4,4)).numpy()"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "pOMd7zIjGL6x"
},
"source": [
"Again, display the first training example—after resize: "
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:24.935281Z",
"iopub.status.busy": "2024-05-18T11:39:24.934685Z",
"iopub.status.idle": "2024-05-18T11:39:25.150778Z",
"shell.execute_reply": "2024-05-18T11:39:25.150104Z"
},
"id": "YIYOtCRIGL6y",
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(y_train[0])\n",
"\n",
"plt.imshow(x_train_small[0,:,:,0], vmin=0, vmax=1)\n",
"plt.colorbar()"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "gGeF1_qtojhK"
},
"source": [
"### 1.3 Remove contradictory examples"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "7ZLkq2yeojhL"
},
"source": [
"From section *3.3 Learning to Distinguish Digits* of Farhi et al. , filter the dataset to remove images that are labeled as belonging to both classes.\n",
"\n",
"This is not a standard machine-learning procedure, but is included in the interest of following the paper."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:25.154501Z",
"iopub.status.busy": "2024-05-18T11:39:25.153907Z",
"iopub.status.idle": "2024-05-18T11:39:25.161813Z",
"shell.execute_reply": "2024-05-18T11:39:25.161143Z"
},
"id": "LqOPW0C7ojhL"
},
"outputs": [],
"source": [
"def remove_contradicting(xs, ys):\n",
" mapping = collections.defaultdict(set)\n",
" orig_x = {}\n",
" # Determine the set of labels for each unique image:\n",
" for x,y in zip(xs,ys):\n",
" orig_x[tuple(x.flatten())] = x\n",
" mapping[tuple(x.flatten())].add(y)\n",
" \n",
" new_x = []\n",
" new_y = []\n",
" for flatten_x in mapping:\n",
" x = orig_x[flatten_x]\n",
" labels = mapping[flatten_x]\n",
" if len(labels) == 1:\n",
" new_x.append(x)\n",
" new_y.append(next(iter(labels)))\n",
" else:\n",
" # Throw out images that match more than one label.\n",
" pass\n",
" \n",
" num_uniq_3 = sum(1 for value in mapping.values() if len(value) == 1 and True in value)\n",
" num_uniq_6 = sum(1 for value in mapping.values() if len(value) == 1 and False in value)\n",
" num_uniq_both = sum(1 for value in mapping.values() if len(value) == 2)\n",
"\n",
" print(\"Number of unique images:\", len(mapping.values()))\n",
" print(\"Number of unique 3s: \", num_uniq_3)\n",
" print(\"Number of unique 6s: \", num_uniq_6)\n",
" print(\"Number of unique contradicting labels (both 3 and 6): \", num_uniq_both)\n",
" print()\n",
" print(\"Initial number of images: \", len(xs))\n",
" print(\"Remaining non-contradicting unique images: \", len(new_x))\n",
" \n",
" return np.array(new_x), np.array(new_y)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "VMOiJfz_ojhP"
},
"source": [
"The resulting counts do not closely match the reported values, but the exact procedure is not specified.\n",
"\n",
"It is also worth noting here that applying filtering contradictory examples at this point does not totally prevent the model from receiving contradictory training examples: the next step binarizes the data which will cause more collisions. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:25.165092Z",
"iopub.status.busy": "2024-05-18T11:39:25.164642Z",
"iopub.status.idle": "2024-05-18T11:39:25.308471Z",
"shell.execute_reply": "2024-05-18T11:39:25.307732Z"
},
"id": "zpnsAssWojhP",
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of unique images: 10387\n",
"Number of unique 3s: 4912\n",
"Number of unique 6s: 5426\n",
"Number of unique contradicting labels (both 3 and 6): 49\n",
"\n",
"Initial number of images: 12049\n",
"Remaining non-contradicting unique images: 10338\n"
]
}
],
"source": [
"x_train_nocon, y_train_nocon = remove_contradicting(x_train_small, y_train)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "SlJ5NVaPojhT"
},
"source": [
"### 1.4 Encode the data as quantum circuits\n",
"\n",
"To process images using a quantum computer, Farhi et al. proposed representing each pixel with a qubit, with the state depending on the value of the pixel. The first step is to convert to a binary encoding."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:25.312237Z",
"iopub.status.busy": "2024-05-18T11:39:25.311617Z",
"iopub.status.idle": "2024-05-18T11:39:25.316005Z",
"shell.execute_reply": "2024-05-18T11:39:25.315321Z"
},
"id": "1z8J7OyDojhV"
},
"outputs": [],
"source": [
"THRESHOLD = 0.5\n",
"\n",
"x_train_bin = np.array(x_train_nocon > THRESHOLD, dtype=np.float32)\n",
"x_test_bin = np.array(x_test_small > THRESHOLD, dtype=np.float32)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "SlJ5NVaPojhU"
},
"source": [
"If you were to remove contradictory images at this point you would be left with only 193, likely not enough for effective training."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:25.319359Z",
"iopub.status.busy": "2024-05-18T11:39:25.318869Z",
"iopub.status.idle": "2024-05-18T11:39:25.394189Z",
"shell.execute_reply": "2024-05-18T11:39:25.393504Z"
},
"id": "1z8J7OyDojhW"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of unique images: 193\n",
"Number of unique 3s: 80\n",
"Number of unique 6s: 69\n",
"Number of unique contradicting labels (both 3 and 6): 44\n",
"\n",
"Initial number of images: 10338\n",
"Remaining non-contradicting unique images: 149\n"
]
}
],
"source": [
"_ = remove_contradicting(x_train_bin, y_train_nocon)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "oLyxS9KlojhZ"
},
"source": [
"The qubits at pixel indices with values that exceed a threshold, are rotated through an $X$ gate."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:25.397577Z",
"iopub.status.busy": "2024-05-18T11:39:25.397029Z",
"iopub.status.idle": "2024-05-18T11:39:26.800971Z",
"shell.execute_reply": "2024-05-18T11:39:26.800191Z"
},
"id": "aOu_3-3ZGL61"
},
"outputs": [],
"source": [
"def convert_to_circuit(image):\n",
" \"\"\"Encode truncated classical image into quantum datapoint.\"\"\"\n",
" values = np.ndarray.flatten(image)\n",
" qubits = cirq.GridQubit.rect(4, 4)\n",
" circuit = cirq.Circuit()\n",
" for i, value in enumerate(values):\n",
" if value:\n",
" circuit.append(cirq.X(qubits[i]))\n",
" return circuit\n",
"\n",
"\n",
"x_train_circ = [convert_to_circuit(x) for x in x_train_bin]\n",
"x_test_circ = [convert_to_circuit(x) for x in x_test_bin]"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "zSCXqzOzojhd"
},
"source": [
"Here is the circuit created for the first example (circuit diagrams do not show qubits with zero gates):"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:26.804837Z",
"iopub.status.busy": "2024-05-18T11:39:26.804165Z",
"iopub.status.idle": "2024-05-18T11:39:26.845287Z",
"shell.execute_reply": "2024-05-18T11:39:26.844651Z"
},
"id": "w3POmUEUojhe",
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"data": {
"image/svg+xml": [
"(2, 2): (3, 1): X X "
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SVGCircuit(x_train_circ[0])"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "AEQMxCcBojhg"
},
"source": [
"Compare this circuit to the indices where the image value exceeds the threshold:"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:26.848652Z",
"iopub.status.busy": "2024-05-18T11:39:26.848103Z",
"iopub.status.idle": "2024-05-18T11:39:26.853119Z",
"shell.execute_reply": "2024-05-18T11:39:26.852475Z"
},
"id": "TBIsiXdtojhh"
},
"outputs": [
{
"data": {
"text/plain": [
"array([[2, 2],\n",
" [3, 1]])"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin_img = x_train_bin[0,:,:,0]\n",
"indices = np.array(np.where(bin_img)).T\n",
"indices"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "mWZ24w1Oojhk"
},
"source": [
"Convert these `Cirq` circuits to tensors for `tfq`:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:26.856353Z",
"iopub.status.busy": "2024-05-18T11:39:26.855845Z",
"iopub.status.idle": "2024-05-18T11:39:30.121906Z",
"shell.execute_reply": "2024-05-18T11:39:30.121089Z"
},
"id": "IZStEMk4ojhk"
},
"outputs": [],
"source": [
"x_train_tfcirc = tfq.convert_to_tensor(x_train_circ)\n",
"x_test_tfcirc = tfq.convert_to_tensor(x_test_circ)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "4USiqeOqGL67"
},
"source": [
"## 2. Quantum neural network\n",
"\n",
"There is little guidance for a quantum circuit structure that classifies images. Since the classification is based on the expectation of the readout qubit, Farhi et al. propose using two qubit gates, with the readout qubit always acted upon. This is similar in some ways to running small a Unitary RNN across the pixels."
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "knIzawEeojho"
},
"source": [
"### 2.1 Build the model circuit\n",
"\n",
"This following example shows this layered approach. Each layer uses *n* instances of the same gate, with each of the data qubits acting on the readout qubit.\n",
"\n",
"Start with a simple class that will add a layer of these gates to a circuit:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:30.126389Z",
"iopub.status.busy": "2024-05-18T11:39:30.125739Z",
"iopub.status.idle": "2024-05-18T11:39:30.130644Z",
"shell.execute_reply": "2024-05-18T11:39:30.129976Z"
},
"id": "-hjxxgU5ojho"
},
"outputs": [],
"source": [
"class CircuitLayerBuilder():\n",
" def __init__(self, data_qubits, readout):\n",
" self.data_qubits = data_qubits\n",
" self.readout = readout\n",
" \n",
" def add_layer(self, circuit, gate, prefix):\n",
" for i, qubit in enumerate(self.data_qubits):\n",
" symbol = sympy.Symbol(prefix + '-' + str(i))\n",
" circuit.append(gate(qubit, self.readout)**symbol)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "Sjo5hANFojhr"
},
"source": [
"Build an example circuit layer to see how it looks:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:30.134014Z",
"iopub.status.busy": "2024-05-18T11:39:30.133466Z",
"iopub.status.idle": "2024-05-18T11:39:30.264197Z",
"shell.execute_reply": "2024-05-18T11:39:30.263550Z"
},
"id": "SzXWOpUGojhs"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"findfont: Font family 'Arial' not found.\n"
]
},
{
"data": {
"image/svg+xml": [
"(-1, -1): (0, 0): (1, 0): (2, 0): (3, 0): XX^(xx-0) XX XX^(xx-1) XX XX^(xx-2) XX XX^(xx-3) XX "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"demo_builder = CircuitLayerBuilder(data_qubits = cirq.GridQubit.rect(4,1),\n",
" readout=cirq.GridQubit(-1,-1))\n",
"\n",
"circuit = cirq.Circuit()\n",
"demo_builder.add_layer(circuit, gate = cirq.XX, prefix='xx')\n",
"SVGCircuit(circuit)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "T-QhPE1pojhu"
},
"source": [
"Now build a two-layered model, matching the data-circuit size, and include the preparation and readout operations."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:30.267592Z",
"iopub.status.busy": "2024-05-18T11:39:30.267006Z",
"iopub.status.idle": "2024-05-18T11:39:30.272267Z",
"shell.execute_reply": "2024-05-18T11:39:30.271610Z"
},
"id": "JiALbpwRGL69"
},
"outputs": [],
"source": [
"def create_quantum_model():\n",
" \"\"\"Create a QNN model circuit and readout operation to go along with it.\"\"\"\n",
" data_qubits = cirq.GridQubit.rect(4, 4) # a 4x4 grid.\n",
" readout = cirq.GridQubit(-1, -1) # a single qubit at [-1,-1]\n",
" circuit = cirq.Circuit()\n",
" \n",
" # Prepare the readout qubit.\n",
" circuit.append(cirq.X(readout))\n",
" circuit.append(cirq.H(readout))\n",
" \n",
" builder = CircuitLayerBuilder(\n",
" data_qubits = data_qubits,\n",
" readout=readout)\n",
"\n",
" # Then add layers (experiment by adding more).\n",
" builder.add_layer(circuit, cirq.XX, \"xx1\")\n",
" builder.add_layer(circuit, cirq.ZZ, \"zz1\")\n",
"\n",
" # Finally, prepare the readout qubit.\n",
" circuit.append(cirq.H(readout))\n",
"\n",
" return circuit, cirq.Z(readout)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:30.275374Z",
"iopub.status.busy": "2024-05-18T11:39:30.274836Z",
"iopub.status.idle": "2024-05-18T11:39:30.289151Z",
"shell.execute_reply": "2024-05-18T11:39:30.288502Z"
},
"id": "2QZvVh7vojhx"
},
"outputs": [],
"source": [
"model_circuit, model_readout = create_quantum_model()"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "LY7vbY6yfABE"
},
"source": [
"### 2.2 Wrap the model-circuit in a tfq-keras model\n",
"\n",
"Build the Keras model with the quantum components. This model is fed the \"quantum data\", from `x_train_circ`, that encodes the classical data. It uses a *Parametrized Quantum Circuit* layer, `tfq.layers.PQC`, to train the model circuit, on the quantum data.\n",
"\n",
"To classify these images, Farhi et al. proposed taking the expectation of a readout qubit in a parameterized circuit. The expectation returns a value between 1 and -1."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:30.292434Z",
"iopub.status.busy": "2024-05-18T11:39:30.291918Z",
"iopub.status.idle": "2024-05-18T11:39:31.569170Z",
"shell.execute_reply": "2024-05-18T11:39:31.568402Z"
},
"id": "ZYdf_KOxojh0"
},
"outputs": [],
"source": [
"# Build the Keras model.\n",
"model = tf.keras.Sequential([\n",
" # The input is the data-circuit, encoded as a tf.string\n",
" tf.keras.layers.Input(shape=(), dtype=tf.string),\n",
" # The PQC layer returns the expected value of the readout gate, range [-1,1].\n",
" tfq.layers.PQC(model_circuit, model_readout),\n",
"])"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "jz-FbVc9ojh3"
},
"source": [
"Next, describe the training procedure to the model, using the `compile` method.\n",
"\n",
"Since the the expected readout is in the range `[-1,1]`, optimizing the hinge loss is a somewhat natural fit. \n",
"\n",
"Note: Another valid approach would be to shift the output range to `[0,1]`, and treat it as the probability the model assigns to class `3`. This could be used with a standard a `tf.losses.BinaryCrossentropy` loss.\n",
"\n",
"To use the hinge loss here you need to make two small adjustments. First convert the labels, `y_train_nocon`, from boolean to `[-1,1]`, as expected by the hinge loss."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.573370Z",
"iopub.status.busy": "2024-05-18T11:39:31.572740Z",
"iopub.status.idle": "2024-05-18T11:39:31.576415Z",
"shell.execute_reply": "2024-05-18T11:39:31.575751Z"
},
"id": "CgMNkC1Fojh5"
},
"outputs": [],
"source": [
"y_train_hinge = 2.0*y_train_nocon-1.0\n",
"y_test_hinge = 2.0*y_test-1.0"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "5nwnveDiojh7"
},
"source": [
"Second, use a custiom `hinge_accuracy` metric that correctly handles `[-1, 1]` as the `y_true` labels argument. \n",
"`tf.losses.BinaryAccuracy(threshold=0.0)` expects `y_true` to be a boolean, and so can't be used with hinge loss)."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.579817Z",
"iopub.status.busy": "2024-05-18T11:39:31.579267Z",
"iopub.status.idle": "2024-05-18T11:39:31.583181Z",
"shell.execute_reply": "2024-05-18T11:39:31.582516Z"
},
"id": "3XKtZ_TEojh8"
},
"outputs": [],
"source": [
"def hinge_accuracy(y_true, y_pred):\n",
" y_true = tf.squeeze(y_true) > 0.0\n",
" y_pred = tf.squeeze(y_pred) > 0.0\n",
" result = tf.cast(y_true == y_pred, tf.float32)\n",
"\n",
" return tf.reduce_mean(result)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.586335Z",
"iopub.status.busy": "2024-05-18T11:39:31.585822Z",
"iopub.status.idle": "2024-05-18T11:39:31.603463Z",
"shell.execute_reply": "2024-05-18T11:39:31.602795Z"
},
"id": "FlpETlLRojiA"
},
"outputs": [],
"source": [
"model.compile(\n",
" loss=tf.keras.losses.Hinge(),\n",
" optimizer=tf.keras.optimizers.Adam(),\n",
" metrics=[hinge_accuracy])"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.606656Z",
"iopub.status.busy": "2024-05-18T11:39:31.606142Z",
"iopub.status.idle": "2024-05-18T11:39:31.616678Z",
"shell.execute_reply": "2024-05-18T11:39:31.616024Z"
},
"id": "jkHq2RstojiC"
},
"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": [
" pqc (PQC) (None, 1) 32 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================================================\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total params: 32 (128.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Trainable params: 32 (128.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Non-trainable params: 0 (0.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
}
],
"source": [
"print(model.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "lsuOzDYblA9s"
},
"source": [
"### Train the quantum model\n",
"\n",
"Now train the model—this takes about 45 min. If you don't want to wait that long, use a small subset of the data (set `NUM_EXAMPLES=500`, below). This doesn't really affect the model's progress during training (it only has 32 parameters, and doesn't need much data to constrain these). Using fewer examples just ends training earlier (5min), but runs long enough to show that it is making progress in the validation logs."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.623250Z",
"iopub.status.busy": "2024-05-18T11:39:31.622612Z",
"iopub.status.idle": "2024-05-18T11:39:31.626096Z",
"shell.execute_reply": "2024-05-18T11:39:31.625448Z"
},
"id": "n8vuQpSLlBV2"
},
"outputs": [],
"source": [
"EPOCHS = 3\n",
"BATCH_SIZE = 32\n",
"\n",
"NUM_EXAMPLES = len(x_train_tfcirc)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.629156Z",
"iopub.status.busy": "2024-05-18T11:39:31.628704Z",
"iopub.status.idle": "2024-05-18T11:39:31.633283Z",
"shell.execute_reply": "2024-05-18T11:39:31.632627Z"
},
"id": "qJnNG-3JojiI"
},
"outputs": [],
"source": [
"x_train_tfcirc_sub = x_train_tfcirc[:NUM_EXAMPLES]\n",
"y_train_hinge_sub = y_train_hinge[:NUM_EXAMPLES]"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "QMSdgGC1GL7D"
},
"source": [
"Training this model to convergence should achieve >85% accuracy on the test set."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:39:31.636560Z",
"iopub.status.busy": "2024-05-18T11:39:31.636050Z",
"iopub.status.idle": "2024-05-18T11:42:20.987037Z",
"shell.execute_reply": "2024-05-18T11:42:20.986188Z"
},
"id": "Ya9qP3KkojiM"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/324 [..............................] - ETA: 4:02 - loss: 1.0009 - hinge_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\r",
" 2/324 [..............................] - ETA: 56s - loss: 0.9970 - hinge_accuracy: 0.5469 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/324 [..............................] - ETA: 57s - loss: 0.9978 - hinge_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\r",
" 4/324 [..............................] - ETA: 55s - loss: 0.9999 - hinge_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\r",
" 5/324 [..............................] - ETA: 55s - loss: 0.9986 - hinge_accuracy: 0.5188"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6/324 [..............................] - ETA: 54s - loss: 0.9976 - hinge_accuracy: 0.5365"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/324 [..............................] - ETA: 53s - loss: 0.9982 - hinge_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\r",
" 8/324 [..............................] - ETA: 53s - loss: 0.9972 - hinge_accuracy: 0.5469"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/324 [..............................] - ETA: 53s - loss: 0.9974 - hinge_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\r",
" 10/324 [..............................] - ETA: 53s - loss: 0.9984 - hinge_accuracy: 0.5281"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/324 [>.............................] - ETA: 52s - loss: 0.9983 - hinge_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\r",
" 12/324 [>.............................] - ETA: 52s - loss: 0.9981 - hinge_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\r",
" 13/324 [>.............................] - ETA: 52s - loss: 0.9986 - hinge_accuracy: 0.5264"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/324 [>.............................] - ETA: 52s - loss: 0.9988 - hinge_accuracy: 0.5223"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/324 [>.............................] - ETA: 51s - loss: 0.9984 - hinge_accuracy: 0.5292"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/324 [>.............................] - ETA: 51s - loss: 0.9986 - hinge_accuracy: 0.5254"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 17/324 [>.............................] - ETA: 51s - loss: 0.9987 - hinge_accuracy: 0.5239"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/324 [>.............................] - ETA: 51s - loss: 0.9987 - hinge_accuracy: 0.5243"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/324 [>.............................] - ETA: 50s - loss: 0.9990 - hinge_accuracy: 0.5197"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/324 [>.............................] - ETA: 50s - loss: 0.9987 - hinge_accuracy: 0.5234"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/324 [>.............................] - ETA: 50s - loss: 0.9988 - hinge_accuracy: 0.5223"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/324 [=>............................] - ETA: 50s - loss: 0.9990 - hinge_accuracy: 0.5185"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/324 [=>............................] - ETA: 50s - loss: 0.9991 - hinge_accuracy: 0.5163"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/324 [=>............................] - ETA: 49s - loss: 0.9992 - hinge_accuracy: 0.5143"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/324 [=>............................] - ETA: 49s - loss: 0.9994 - hinge_accuracy: 0.5125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/324 [=>............................] - ETA: 49s - loss: 0.9993 - hinge_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\r",
" 27/324 [=>............................] - ETA: 49s - loss: 0.9995 - hinge_accuracy: 0.5093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/324 [=>............................] - ETA: 49s - loss: 0.9994 - hinge_accuracy: 0.5100"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/324 [=>............................] - ETA: 49s - loss: 0.9993 - hinge_accuracy: 0.5108"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/324 [=>............................] - ETA: 48s - loss: 0.9993 - hinge_accuracy: 0.5104"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/324 [=>............................] - ETA: 48s - loss: 0.9995 - hinge_accuracy: 0.5071"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/324 [=>............................] - ETA: 48s - loss: 0.9995 - hinge_accuracy: 0.5068"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/324 [==>...........................] - ETA: 48s - loss: 0.9995 - hinge_accuracy: 0.5076"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/324 [==>...........................] - ETA: 48s - loss: 0.9994 - hinge_accuracy: 0.5083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/324 [==>...........................] - ETA: 48s - loss: 0.9998 - hinge_accuracy: 0.5027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/324 [==>...........................] - ETA: 47s - loss: 1.0000 - hinge_accuracy: 0.4991"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/324 [==>...........................] - ETA: 47s - loss: 0.9999 - hinge_accuracy: 0.5008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/324 [==>...........................] - ETA: 47s - loss: 0.9999 - hinge_accuracy: 0.5008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/324 [==>...........................] - ETA: 47s - loss: 0.9999 - hinge_accuracy: 0.5008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/324 [==>...........................] - ETA: 47s - loss: 1.0000 - hinge_accuracy: 0.4984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/324 [==>...........................] - ETA: 47s - loss: 1.0002 - hinge_accuracy: 0.4954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/324 [==>...........................] - ETA: 46s - loss: 1.0002 - hinge_accuracy: 0.4948"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/324 [==>...........................] - ETA: 46s - loss: 1.0000 - hinge_accuracy: 0.4978"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/324 [===>..........................] - ETA: 46s - loss: 0.9999 - hinge_accuracy: 0.4993"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/324 [===>..........................] - ETA: 46s - loss: 1.0001 - hinge_accuracy: 0.4972"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/324 [===>..........................] - ETA: 46s - loss: 1.0000 - hinge_accuracy: 0.4973"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/324 [===>..........................] - ETA: 46s - loss: 1.0000 - hinge_accuracy: 0.4960"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/324 [===>..........................] - ETA: 45s - loss: 1.0002 - hinge_accuracy: 0.4935"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/324 [===>..........................] - ETA: 45s - loss: 1.0003 - hinge_accuracy: 0.4917"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/324 [===>..........................] - ETA: 45s - loss: 1.0003 - hinge_accuracy: 0.4900"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/324 [===>..........................] - ETA: 45s - loss: 1.0004 - hinge_accuracy: 0.4884"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/324 [===>..........................] - ETA: 45s - loss: 1.0004 - hinge_accuracy: 0.4886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/324 [===>..........................] - ETA: 44s - loss: 1.0005 - hinge_accuracy: 0.4882"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/324 [====>.........................] - ETA: 44s - loss: 1.0003 - hinge_accuracy: 0.4913"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/324 [====>.........................] - ETA: 44s - loss: 1.0004 - hinge_accuracy: 0.4909"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/324 [====>.........................] - ETA: 44s - loss: 1.0004 - hinge_accuracy: 0.4900"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/324 [====>.........................] - ETA: 44s - loss: 1.0006 - hinge_accuracy: 0.4874"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/324 [====>.........................] - ETA: 44s - loss: 1.0006 - hinge_accuracy: 0.4865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/324 [====>.........................] - ETA: 43s - loss: 1.0006 - hinge_accuracy: 0.4862"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/324 [====>.........................] - ETA: 43s - loss: 1.0006 - hinge_accuracy: 0.4854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/324 [====>.........................] - ETA: 43s - loss: 1.0005 - hinge_accuracy: 0.4862"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/324 [====>.........................] - ETA: 43s - loss: 1.0004 - hinge_accuracy: 0.4884"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/324 [====>.........................] - ETA: 43s - loss: 1.0004 - hinge_accuracy: 0.4886"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/324 [====>.........................] - ETA: 43s - loss: 1.0005 - hinge_accuracy: 0.4858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/324 [=====>........................] - ETA: 42s - loss: 1.0004 - hinge_accuracy: 0.4889"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/324 [=====>........................] - ETA: 42s - loss: 1.0003 - hinge_accuracy: 0.4929"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/324 [=====>........................] - ETA: 42s - loss: 1.0002 - hinge_accuracy: 0.4963"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/324 [=====>........................] - ETA: 42s - loss: 1.0001 - hinge_accuracy: 0.4982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/324 [=====>........................] - ETA: 42s - loss: 1.0001 - hinge_accuracy: 0.4982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/324 [=====>........................] - ETA: 42s - loss: 1.0001 - hinge_accuracy: 0.4987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/324 [=====>........................] - ETA: 41s - loss: 1.0001 - hinge_accuracy: 0.4982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/324 [=====>........................] - ETA: 41s - loss: 1.0001 - hinge_accuracy: 0.4978"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/324 [=====>........................] - ETA: 41s - loss: 1.0002 - hinge_accuracy: 0.4961"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/324 [=====>........................] - ETA: 41s - loss: 1.0001 - hinge_accuracy: 0.4966"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/324 [=====>........................] - ETA: 41s - loss: 1.0001 - hinge_accuracy: 0.4975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/324 [======>.......................] - ETA: 41s - loss: 1.0001 - hinge_accuracy: 0.4975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/324 [======>.......................] - ETA: 40s - loss: 1.0000 - hinge_accuracy: 0.4976"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/324 [======>.......................] - ETA: 40s - loss: 1.0000 - hinge_accuracy: 0.4992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/324 [======>.......................] - ETA: 40s - loss: 1.0000 - hinge_accuracy: 0.4984"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/324 [======>.......................] - ETA: 40s - loss: 1.0000 - hinge_accuracy: 0.4980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/324 [======>.......................] - ETA: 40s - loss: 0.9999 - hinge_accuracy: 0.5004"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/324 [======>.......................] - ETA: 40s - loss: 0.9998 - hinge_accuracy: 0.5011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/324 [======>.......................] - ETA: 39s - loss: 0.9998 - hinge_accuracy: 0.5008"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/324 [======>.......................] - ETA: 39s - loss: 0.9998 - hinge_accuracy: 0.5007"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/324 [======>.......................] - ETA: 39s - loss: 0.9998 - hinge_accuracy: 0.4996"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/324 [======>.......................] - ETA: 39s - loss: 0.9997 - hinge_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\r",
" 87/324 [=======>......................] - ETA: 39s - loss: 0.9997 - hinge_accuracy: 0.5011"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/324 [=======>......................] - ETA: 39s - loss: 0.9996 - hinge_accuracy: 0.5025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/324 [=======>......................] - ETA: 38s - loss: 0.9995 - hinge_accuracy: 0.5042"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/324 [=======>......................] - ETA: 38s - loss: 0.9994 - hinge_accuracy: 0.5069"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/324 [=======>......................] - ETA: 38s - loss: 0.9994 - hinge_accuracy: 0.5093"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/324 [=======>......................] - ETA: 38s - loss: 0.9994 - hinge_accuracy: 0.5102"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/324 [=======>......................] - ETA: 38s - loss: 0.9993 - hinge_accuracy: 0.5114"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/324 [=======>......................] - ETA: 38s - loss: 0.9992 - hinge_accuracy: 0.5136"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/324 [=======>......................] - ETA: 37s - loss: 0.9992 - hinge_accuracy: 0.5145"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 96/324 [=======>......................] - ETA: 37s - loss: 0.9991 - hinge_accuracy: 0.5156"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/324 [=======>......................] - ETA: 37s - loss: 0.9990 - hinge_accuracy: 0.5171"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/324 [========>.....................] - ETA: 37s - loss: 0.9990 - hinge_accuracy: 0.5188"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/324 [========>.....................] - ETA: 37s - loss: 0.9989 - hinge_accuracy: 0.5193"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/324 [========>.....................] - ETA: 37s - loss: 0.9988 - hinge_accuracy: 0.5200"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"101/324 [========>.....................] - ETA: 36s - loss: 0.9987 - hinge_accuracy: 0.5207"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/324 [========>.....................] - ETA: 36s - loss: 0.9986 - hinge_accuracy: 0.5227"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"103/324 [========>.....................] - ETA: 36s - loss: 0.9986 - hinge_accuracy: 0.5218"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/324 [========>.....................] - ETA: 36s - loss: 0.9984 - hinge_accuracy: 0.5234"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/324 [========>.....................] - ETA: 36s - loss: 0.9984 - hinge_accuracy: 0.5229"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"106/324 [========>.....................] - ETA: 36s - loss: 0.9984 - hinge_accuracy: 0.5227"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"107/324 [========>.....................] - ETA: 35s - loss: 0.9983 - hinge_accuracy: 0.5237"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"108/324 [=========>....................] - ETA: 35s - loss: 0.9981 - hinge_accuracy: 0.5258"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"109/324 [=========>....................] - ETA: 35s - loss: 0.9980 - hinge_accuracy: 0.5264"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"110/324 [=========>....................] - ETA: 35s - loss: 0.9979 - hinge_accuracy: 0.5267"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"111/324 [=========>....................] - ETA: 35s - loss: 0.9978 - hinge_accuracy: 0.5273"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"112/324 [=========>....................] - ETA: 35s - loss: 0.9976 - hinge_accuracy: 0.5285"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"113/324 [=========>....................] - ETA: 34s - loss: 0.9975 - hinge_accuracy: 0.5296"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"114/324 [=========>....................] - ETA: 34s - loss: 0.9973 - hinge_accuracy: 0.5315"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"115/324 [=========>....................] - ETA: 34s - loss: 0.9971 - hinge_accuracy: 0.5326"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"116/324 [=========>....................] - ETA: 34s - loss: 0.9970 - hinge_accuracy: 0.5337"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"117/324 [=========>....................] - ETA: 34s - loss: 0.9968 - hinge_accuracy: 0.5345"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"118/324 [=========>....................] - ETA: 34s - loss: 0.9966 - hinge_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\r",
"119/324 [==========>...................] - ETA: 33s - loss: 0.9966 - hinge_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\r",
"120/324 [==========>...................] - ETA: 33s - loss: 0.9964 - hinge_accuracy: 0.5370"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"121/324 [==========>...................] - ETA: 33s - loss: 0.9961 - hinge_accuracy: 0.5387"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/324 [==========>...................] - ETA: 33s - loss: 0.9958 - hinge_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\r",
"123/324 [==========>...................] - ETA: 33s - loss: 0.9957 - hinge_accuracy: 0.5414"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"124/324 [==========>...................] - ETA: 33s - loss: 0.9956 - hinge_accuracy: 0.5416"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"125/324 [==========>...................] - ETA: 32s - loss: 0.9952 - hinge_accuracy: 0.5443"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"126/324 [==========>...................] - ETA: 32s - loss: 0.9951 - hinge_accuracy: 0.5444"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"127/324 [==========>...................] - ETA: 32s - loss: 0.9949 - hinge_accuracy: 0.5453"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"128/324 [==========>...................] - ETA: 32s - loss: 0.9947 - hinge_accuracy: 0.5466"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"129/324 [==========>...................] - ETA: 32s - loss: 0.9945 - hinge_accuracy: 0.5477"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"130/324 [===========>..................] - ETA: 32s - loss: 0.9943 - hinge_accuracy: 0.5488"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"131/324 [===========>..................] - ETA: 31s - loss: 0.9940 - hinge_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\r",
"132/324 [===========>..................] - ETA: 31s - loss: 0.9937 - hinge_accuracy: 0.5516"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"133/324 [===========>..................] - ETA: 31s - loss: 0.9933 - hinge_accuracy: 0.5533"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"134/324 [===========>..................] - ETA: 31s - loss: 0.9930 - hinge_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\r",
"135/324 [===========>..................] - ETA: 31s - loss: 0.9926 - hinge_accuracy: 0.5558"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"136/324 [===========>..................] - ETA: 31s - loss: 0.9924 - hinge_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\r",
"137/324 [===========>..................] - ETA: 31s - loss: 0.9923 - hinge_accuracy: 0.5575"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"138/324 [===========>..................] - ETA: 30s - loss: 0.9919 - hinge_accuracy: 0.5582"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"139/324 [===========>..................] - ETA: 30s - loss: 0.9913 - hinge_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\r",
"140/324 [===========>..................] - ETA: 30s - loss: 0.9912 - hinge_accuracy: 0.5600"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"141/324 [============>.................] - ETA: 30s - loss: 0.9908 - hinge_accuracy: 0.5614"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"142/324 [============>.................] - ETA: 30s - loss: 0.9903 - hinge_accuracy: 0.5627"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"143/324 [============>.................] - ETA: 30s - loss: 0.9897 - hinge_accuracy: 0.5647"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"144/324 [============>.................] - ETA: 29s - loss: 0.9893 - hinge_accuracy: 0.5660"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"145/324 [============>.................] - ETA: 29s - loss: 0.9887 - hinge_accuracy: 0.5672"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"146/324 [============>.................] - ETA: 29s - loss: 0.9882 - hinge_accuracy: 0.5687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"147/324 [============>.................] - ETA: 29s - loss: 0.9876 - hinge_accuracy: 0.5704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"148/324 [============>.................] - ETA: 29s - loss: 0.9871 - hinge_accuracy: 0.5714"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"149/324 [============>.................] - ETA: 29s - loss: 0.9866 - hinge_accuracy: 0.5726"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"150/324 [============>.................] - ETA: 28s - loss: 0.9861 - hinge_accuracy: 0.5733"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"151/324 [============>.................] - ETA: 28s - loss: 0.9853 - hinge_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\r",
"152/324 [=============>................] - ETA: 28s - loss: 0.9848 - hinge_accuracy: 0.5759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"153/324 [=============>................] - ETA: 28s - loss: 0.9841 - hinge_accuracy: 0.5776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"154/324 [=============>................] - ETA: 28s - loss: 0.9835 - hinge_accuracy: 0.5787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"155/324 [=============>................] - ETA: 28s - loss: 0.9830 - hinge_accuracy: 0.5798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"156/324 [=============>................] - ETA: 27s - loss: 0.9824 - hinge_accuracy: 0.5813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"157/324 [=============>................] - ETA: 27s - loss: 0.9812 - hinge_accuracy: 0.5834"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"158/324 [=============>................] - ETA: 27s - loss: 0.9801 - hinge_accuracy: 0.5856"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"159/324 [=============>................] - ETA: 27s - loss: 0.9793 - hinge_accuracy: 0.5871"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"160/324 [=============>................] - ETA: 27s - loss: 0.9785 - hinge_accuracy: 0.5885"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"161/324 [=============>................] - ETA: 27s - loss: 0.9779 - hinge_accuracy: 0.5893"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"162/324 [==============>...............] - ETA: 26s - loss: 0.9770 - hinge_accuracy: 0.5912"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"163/324 [==============>...............] - ETA: 26s - loss: 0.9765 - hinge_accuracy: 0.5920"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"164/324 [==============>...............] - ETA: 26s - loss: 0.9752 - hinge_accuracy: 0.5939"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"165/324 [==============>...............] - ETA: 26s - loss: 0.9743 - hinge_accuracy: 0.5953"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"166/324 [==============>...............] - ETA: 26s - loss: 0.9738 - hinge_accuracy: 0.5956"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"167/324 [==============>...............] - ETA: 26s - loss: 0.9732 - hinge_accuracy: 0.5964"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"168/324 [==============>...............] - ETA: 25s - loss: 0.9724 - hinge_accuracy: 0.5975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"169/324 [==============>...............] - ETA: 25s - loss: 0.9717 - hinge_accuracy: 0.5982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"170/324 [==============>...............] - ETA: 25s - loss: 0.9709 - hinge_accuracy: 0.5989"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/324 [==============>...............] - ETA: 25s - loss: 0.9703 - hinge_accuracy: 0.5994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"172/324 [==============>...............] - ETA: 25s - loss: 0.9697 - hinge_accuracy: 0.5999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"173/324 [===============>..............] - ETA: 25s - loss: 0.9689 - hinge_accuracy: 0.6010"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"174/324 [===============>..............] - ETA: 24s - loss: 0.9679 - hinge_accuracy: 0.6022"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"175/324 [===============>..............] - ETA: 24s - loss: 0.9674 - hinge_accuracy: 0.6027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"176/324 [===============>..............] - ETA: 24s - loss: 0.9664 - hinge_accuracy: 0.6039"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"177/324 [===============>..............] - ETA: 24s - loss: 0.9660 - hinge_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\r",
"178/324 [===============>..............] - ETA: 24s - loss: 0.9655 - hinge_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\r",
"179/324 [===============>..............] - ETA: 24s - loss: 0.9649 - hinge_accuracy: 0.6051"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"180/324 [===============>..............] - ETA: 23s - loss: 0.9643 - hinge_accuracy: 0.6056"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"181/324 [===============>..............] - ETA: 23s - loss: 0.9635 - hinge_accuracy: 0.6064"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"182/324 [===============>..............] - ETA: 23s - loss: 0.9626 - hinge_accuracy: 0.6073"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"183/324 [===============>..............] - ETA: 23s - loss: 0.9618 - hinge_accuracy: 0.6083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"184/324 [================>.............] - ETA: 23s - loss: 0.9603 - hinge_accuracy: 0.6099"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"185/324 [================>.............] - ETA: 23s - loss: 0.9589 - hinge_accuracy: 0.6110"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"186/324 [================>.............] - ETA: 22s - loss: 0.9576 - hinge_accuracy: 0.6122"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"187/324 [================>.............] - ETA: 22s - loss: 0.9567 - hinge_accuracy: 0.6130"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/324 [================>.............] - ETA: 22s - loss: 0.9552 - hinge_accuracy: 0.6144"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"189/324 [================>.............] - ETA: 22s - loss: 0.9546 - hinge_accuracy: 0.6146"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/324 [================>.............] - ETA: 22s - loss: 0.9536 - hinge_accuracy: 0.6155"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"191/324 [================>.............] - ETA: 22s - loss: 0.9522 - hinge_accuracy: 0.6167"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"192/324 [================>.............] - ETA: 21s - loss: 0.9510 - hinge_accuracy: 0.6177"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"193/324 [================>.............] - ETA: 21s - loss: 0.9512 - hinge_accuracy: 0.6171"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"194/324 [================>.............] - ETA: 21s - loss: 0.9495 - hinge_accuracy: 0.6184"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"195/324 [=================>............] - ETA: 21s - loss: 0.9486 - hinge_accuracy: 0.6191"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"196/324 [=================>............] - ETA: 21s - loss: 0.9479 - hinge_accuracy: 0.6193"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"197/324 [=================>............] - ETA: 21s - loss: 0.9467 - hinge_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\r",
"198/324 [=================>............] - ETA: 20s - loss: 0.9455 - hinge_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\r",
"199/324 [=================>............] - ETA: 20s - loss: 0.9444 - hinge_accuracy: 0.6215"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"200/324 [=================>............] - ETA: 20s - loss: 0.9429 - hinge_accuracy: 0.6227"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"201/324 [=================>............] - ETA: 20s - loss: 0.9418 - hinge_accuracy: 0.6233"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"202/324 [=================>............] - ETA: 20s - loss: 0.9398 - hinge_accuracy: 0.6248"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"203/324 [=================>............] - ETA: 20s - loss: 0.9382 - hinge_accuracy: 0.6259"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"204/324 [=================>............] - ETA: 19s - loss: 0.9366 - hinge_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\r",
"205/324 [=================>............] - ETA: 19s - loss: 0.9353 - hinge_accuracy: 0.6277"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"206/324 [==================>...........] - ETA: 19s - loss: 0.9338 - hinge_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\r",
"207/324 [==================>...........] - ETA: 19s - loss: 0.9330 - hinge_accuracy: 0.6291"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"208/324 [==================>...........] - ETA: 19s - loss: 0.9314 - hinge_accuracy: 0.6301"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"209/324 [==================>...........] - ETA: 19s - loss: 0.9301 - hinge_accuracy: 0.6308"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"210/324 [==================>...........] - ETA: 18s - loss: 0.9287 - hinge_accuracy: 0.6315"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/324 [==================>...........] - ETA: 18s - loss: 0.9273 - hinge_accuracy: 0.6323"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"212/324 [==================>...........] - ETA: 18s - loss: 0.9254 - hinge_accuracy: 0.6334"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"213/324 [==================>...........] - ETA: 18s - loss: 0.9240 - hinge_accuracy: 0.6342"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"214/324 [==================>...........] - ETA: 18s - loss: 0.9226 - hinge_accuracy: 0.6351"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"215/324 [==================>...........] - ETA: 18s - loss: 0.9211 - hinge_accuracy: 0.6359"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"216/324 [===================>..........] - ETA: 17s - loss: 0.9196 - hinge_accuracy: 0.6367"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"217/324 [===================>..........] - ETA: 17s - loss: 0.9179 - hinge_accuracy: 0.6377"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"218/324 [===================>..........] - ETA: 17s - loss: 0.9163 - hinge_accuracy: 0.6385"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"219/324 [===================>..........] - ETA: 17s - loss: 0.9146 - hinge_accuracy: 0.6394"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"220/324 [===================>..........] - ETA: 17s - loss: 0.9131 - hinge_accuracy: 0.6402"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"221/324 [===================>..........] - ETA: 17s - loss: 0.9123 - hinge_accuracy: 0.6406"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/324 [===================>..........] - ETA: 16s - loss: 0.9106 - hinge_accuracy: 0.6415"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"223/324 [===================>..........] - ETA: 16s - loss: 0.9094 - hinge_accuracy: 0.6420"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"224/324 [===================>..........] - ETA: 16s - loss: 0.9081 - hinge_accuracy: 0.6426"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"225/324 [===================>..........] - ETA: 16s - loss: 0.9061 - hinge_accuracy: 0.6436"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"226/324 [===================>..........] - ETA: 16s - loss: 0.9051 - hinge_accuracy: 0.6441"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"227/324 [====================>.........] - ETA: 16s - loss: 0.9035 - hinge_accuracy: 0.6448"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"228/324 [====================>.........] - ETA: 15s - loss: 0.9032 - hinge_accuracy: 0.6447"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"229/324 [====================>.........] - ETA: 15s - loss: 0.9021 - hinge_accuracy: 0.6452"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"230/324 [====================>.........] - ETA: 15s - loss: 0.9004 - hinge_accuracy: 0.6461"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"231/324 [====================>.........] - ETA: 15s - loss: 0.8988 - hinge_accuracy: 0.6468"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"232/324 [====================>.........] - ETA: 15s - loss: 0.8977 - hinge_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\r",
"233/324 [====================>.........] - ETA: 15s - loss: 0.8961 - hinge_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\r",
"234/324 [====================>.........] - ETA: 14s - loss: 0.8952 - hinge_accuracy: 0.6484"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"235/324 [====================>.........] - ETA: 14s - loss: 0.8938 - hinge_accuracy: 0.6489"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"236/324 [====================>.........] - ETA: 14s - loss: 0.8921 - hinge_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\r",
"237/324 [====================>.........] - ETA: 14s - loss: 0.8907 - hinge_accuracy: 0.6504"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"238/324 [=====================>........] - ETA: 14s - loss: 0.8888 - hinge_accuracy: 0.6513"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"239/324 [=====================>........] - ETA: 14s - loss: 0.8880 - hinge_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\r",
"240/324 [=====================>........] - ETA: 13s - loss: 0.8862 - hinge_accuracy: 0.6523"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"241/324 [=====================>........] - ETA: 13s - loss: 0.8842 - hinge_accuracy: 0.6533"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"242/324 [=====================>........] - ETA: 13s - loss: 0.8825 - hinge_accuracy: 0.6539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"243/324 [=====================>........] - ETA: 13s - loss: 0.8812 - hinge_accuracy: 0.6544"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"244/324 [=====================>........] - ETA: 13s - loss: 0.8802 - hinge_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\r",
"245/324 [=====================>........] - ETA: 13s - loss: 0.8782 - hinge_accuracy: 0.6556"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"246/324 [=====================>........] - ETA: 12s - loss: 0.8766 - hinge_accuracy: 0.6562"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"247/324 [=====================>........] - ETA: 12s - loss: 0.8748 - hinge_accuracy: 0.6571"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"248/324 [=====================>........] - ETA: 12s - loss: 0.8734 - hinge_accuracy: 0.6576"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"249/324 [======================>.......] - ETA: 12s - loss: 0.8722 - hinge_accuracy: 0.6580"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"250/324 [======================>.......] - ETA: 12s - loss: 0.8706 - hinge_accuracy: 0.6586"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"251/324 [======================>.......] - ETA: 12s - loss: 0.8686 - hinge_accuracy: 0.6595"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"252/324 [======================>.......] - ETA: 11s - loss: 0.8668 - hinge_accuracy: 0.6603"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"253/324 [======================>.......] - ETA: 11s - loss: 0.8651 - hinge_accuracy: 0.6611"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"254/324 [======================>.......] - ETA: 11s - loss: 0.8640 - hinge_accuracy: 0.6613"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"255/324 [======================>.......] - ETA: 11s - loss: 0.8624 - hinge_accuracy: 0.6620"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"256/324 [======================>.......] - ETA: 11s - loss: 0.8613 - hinge_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\r",
"257/324 [======================>.......] - ETA: 11s - loss: 0.8595 - hinge_accuracy: 0.6631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"258/324 [======================>.......] - ETA: 10s - loss: 0.8574 - hinge_accuracy: 0.6640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/324 [======================>.......] - ETA: 10s - loss: 0.8559 - hinge_accuracy: 0.6645"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"260/324 [=======================>......] - ETA: 10s - loss: 0.8544 - hinge_accuracy: 0.6650"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"261/324 [=======================>......] - ETA: 10s - loss: 0.8536 - hinge_accuracy: 0.6652"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"262/324 [=======================>......] - ETA: 10s - loss: 0.8527 - hinge_accuracy: 0.6654"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"263/324 [=======================>......] - ETA: 10s - loss: 0.8517 - hinge_accuracy: 0.6658"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"264/324 [=======================>......] - ETA: 9s - loss: 0.8506 - hinge_accuracy: 0.6661 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"265/324 [=======================>......] - ETA: 9s - loss: 0.8505 - hinge_accuracy: 0.6658"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"266/324 [=======================>......] - ETA: 9s - loss: 0.8492 - hinge_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\r",
"267/324 [=======================>......] - ETA: 9s - loss: 0.8476 - hinge_accuracy: 0.6669"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"268/324 [=======================>......] - ETA: 9s - loss: 0.8467 - hinge_accuracy: 0.6671"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"269/324 [=======================>......] - ETA: 9s - loss: 0.8459 - hinge_accuracy: 0.6673"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"270/324 [========================>.....] - ETA: 8s - loss: 0.8443 - hinge_accuracy: 0.6678"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"271/324 [========================>.....] - ETA: 8s - loss: 0.8431 - hinge_accuracy: 0.6681"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"272/324 [========================>.....] - ETA: 8s - loss: 0.8425 - hinge_accuracy: 0.6681"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"273/324 [========================>.....] - ETA: 8s - loss: 0.8411 - hinge_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\r",
"274/324 [========================>.....] - ETA: 8s - loss: 0.8407 - hinge_accuracy: 0.6685"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"275/324 [========================>.....] - ETA: 8s - loss: 0.8401 - hinge_accuracy: 0.6685"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"276/324 [========================>.....] - ETA: 7s - loss: 0.8386 - hinge_accuracy: 0.6690"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"277/324 [========================>.....] - ETA: 7s - loss: 0.8380 - hinge_accuracy: 0.6691"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"278/324 [========================>.....] - ETA: 7s - loss: 0.8368 - hinge_accuracy: 0.6694"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"279/324 [========================>.....] - ETA: 7s - loss: 0.8354 - hinge_accuracy: 0.6699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"280/324 [========================>.....] - ETA: 7s - loss: 0.8342 - hinge_accuracy: 0.6703"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"281/324 [=========================>....] - ETA: 7s - loss: 0.8335 - hinge_accuracy: 0.6704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"282/324 [=========================>....] - ETA: 6s - loss: 0.8317 - hinge_accuracy: 0.6711"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"283/324 [=========================>....] - ETA: 6s - loss: 0.8313 - hinge_accuracy: 0.6709"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"284/324 [=========================>....] - ETA: 6s - loss: 0.8305 - hinge_accuracy: 0.6711"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"285/324 [=========================>....] - ETA: 6s - loss: 0.8292 - hinge_accuracy: 0.6715"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"286/324 [=========================>....] - ETA: 6s - loss: 0.8287 - hinge_accuracy: 0.6715"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/324 [=========================>....] - ETA: 6s - loss: 0.8274 - hinge_accuracy: 0.6719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"288/324 [=========================>....] - ETA: 5s - loss: 0.8261 - hinge_accuracy: 0.6724"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"289/324 [=========================>....] - ETA: 5s - loss: 0.8256 - hinge_accuracy: 0.6724"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"290/324 [=========================>....] - ETA: 5s - loss: 0.8244 - hinge_accuracy: 0.6727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"291/324 [=========================>....] - ETA: 5s - loss: 0.8231 - hinge_accuracy: 0.6732"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"292/324 [==========================>...] - ETA: 5s - loss: 0.8216 - hinge_accuracy: 0.6738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"293/324 [==========================>...] - ETA: 5s - loss: 0.8210 - hinge_accuracy: 0.6738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"294/324 [==========================>...] - ETA: 4s - loss: 0.8195 - hinge_accuracy: 0.6744"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"295/324 [==========================>...] - ETA: 4s - loss: 0.8194 - hinge_accuracy: 0.6742"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"296/324 [==========================>...] - ETA: 4s - loss: 0.8184 - hinge_accuracy: 0.6744"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"297/324 [==========================>...] - ETA: 4s - loss: 0.8178 - hinge_accuracy: 0.6745"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"298/324 [==========================>...] - ETA: 4s - loss: 0.8168 - hinge_accuracy: 0.6747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"299/324 [==========================>...] - ETA: 4s - loss: 0.8163 - hinge_accuracy: 0.6747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"300/324 [==========================>...] - ETA: 3s - loss: 0.8156 - hinge_accuracy: 0.6748"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"301/324 [==========================>...] - ETA: 3s - loss: 0.8141 - hinge_accuracy: 0.6754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"302/324 [==========================>...] - ETA: 3s - loss: 0.8127 - hinge_accuracy: 0.6758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"303/324 [===========================>..] - ETA: 3s - loss: 0.8115 - hinge_accuracy: 0.6762"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"304/324 [===========================>..] - ETA: 3s - loss: 0.8104 - hinge_accuracy: 0.6764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"305/324 [===========================>..] - ETA: 3s - loss: 0.8102 - hinge_accuracy: 0.6762"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"306/324 [===========================>..] - ETA: 2s - loss: 0.8095 - hinge_accuracy: 0.6764"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"307/324 [===========================>..] - ETA: 2s - loss: 0.8080 - hinge_accuracy: 0.6769"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"308/324 [===========================>..] - ETA: 2s - loss: 0.8069 - hinge_accuracy: 0.6773"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"309/324 [===========================>..] - ETA: 2s - loss: 0.8058 - hinge_accuracy: 0.6776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"310/324 [===========================>..] - ETA: 2s - loss: 0.8053 - hinge_accuracy: 0.6775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/324 [===========================>..] - ETA: 2s - loss: 0.8044 - hinge_accuracy: 0.6778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"312/324 [===========================>..] - ETA: 1s - loss: 0.8030 - hinge_accuracy: 0.6783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"313/324 [===========================>..] - ETA: 1s - loss: 0.8017 - hinge_accuracy: 0.6787"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"314/324 [============================>.] - ETA: 1s - loss: 0.8004 - hinge_accuracy: 0.6791"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"315/324 [============================>.] - ETA: 1s - loss: 0.7988 - hinge_accuracy: 0.6798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"316/324 [============================>.] - ETA: 1s - loss: 0.7981 - hinge_accuracy: 0.6798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"317/324 [============================>.] - ETA: 1s - loss: 0.7969 - hinge_accuracy: 0.6801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"318/324 [============================>.] - ETA: 0s - loss: 0.7961 - hinge_accuracy: 0.6803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"319/324 [============================>.] - ETA: 0s - loss: 0.7952 - hinge_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\r",
"320/324 [============================>.] - ETA: 0s - loss: 0.7945 - hinge_accuracy: 0.6807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"321/324 [============================>.] - ETA: 0s - loss: 0.7933 - hinge_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\r",
"322/324 [============================>.] - ETA: 0s - loss: 0.7921 - hinge_accuracy: 0.6815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"323/324 [============================>.] - ETA: 0s - loss: 0.7906 - hinge_accuracy: 0.6820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"324/324 [==============================] - ETA: 0s - loss: 0.7905 - hinge_accuracy: 0.6830"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"324/324 [==============================] - 56s 172ms/step - loss: 0.7905 - hinge_accuracy: 0.6830 - val_loss: 0.4799 - val_hinge_accuracy: 0.7666\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/324 [..............................] - ETA: 52s - loss: 0.2128 - hinge_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",
" 2/324 [..............................] - ETA: 53s - loss: 0.3965 - hinge_accuracy: 0.8125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/324 [..............................] - ETA: 52s - loss: 0.3690 - hinge_accuracy: 0.8229"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 4/324 [..............................] - ETA: 52s - loss: 0.3915 - hinge_accuracy: 0.8125"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/324 [..............................] - ETA: 52s - loss: 0.4255 - hinge_accuracy: 0.7937"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 6/324 [..............................] - ETA: 52s - loss: 0.4378 - hinge_accuracy: 0.7865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/324 [..............................] - ETA: 52s - loss: 0.4208 - hinge_accuracy: 0.7991"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 8/324 [..............................] - ETA: 51s - loss: 0.4429 - hinge_accuracy: 0.7852"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/324 [..............................] - ETA: 51s - loss: 0.4628 - hinge_accuracy: 0.7743"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 10/324 [..............................] - ETA: 51s - loss: 0.4596 - hinge_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",
" 11/324 [>.............................] - ETA: 51s - loss: 0.4542 - hinge_accuracy: 0.7784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 12/324 [>.............................] - ETA: 51s - loss: 0.4474 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/324 [>.............................] - ETA: 51s - loss: 0.4532 - hinge_accuracy: 0.7788"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 14/324 [>.............................] - ETA: 51s - loss: 0.4582 - hinge_accuracy: 0.7768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 15/324 [>.............................] - ETA: 50s - loss: 0.4614 - hinge_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",
" 16/324 [>.............................] - ETA: 50s - loss: 0.4718 - hinge_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",
" 17/324 [>.............................] - ETA: 50s - loss: 0.4741 - hinge_accuracy: 0.7684"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 18/324 [>.............................] - ETA: 50s - loss: 0.4689 - hinge_accuracy: 0.7708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/324 [>.............................] - ETA: 50s - loss: 0.4604 - hinge_accuracy: 0.7763"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/324 [>.............................] - ETA: 50s - loss: 0.4632 - hinge_accuracy: 0.7734"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/324 [>.............................] - ETA: 49s - loss: 0.4685 - hinge_accuracy: 0.7693"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/324 [=>............................] - ETA: 49s - loss: 0.4764 - hinge_accuracy: 0.7642"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/324 [=>............................] - ETA: 49s - loss: 0.4696 - hinge_accuracy: 0.7677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/324 [=>............................] - ETA: 49s - loss: 0.4666 - hinge_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",
" 25/324 [=>............................] - ETA: 49s - loss: 0.4606 - hinge_accuracy: 0.7725"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/324 [=>............................] - ETA: 49s - loss: 0.4570 - hinge_accuracy: 0.7752"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/324 [=>............................] - ETA: 48s - loss: 0.4622 - hinge_accuracy: 0.7720"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/324 [=>............................] - ETA: 48s - loss: 0.4557 - hinge_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",
" 29/324 [=>............................] - ETA: 48s - loss: 0.4472 - hinge_accuracy: 0.7791"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/324 [=>............................] - ETA: 48s - loss: 0.4454 - hinge_accuracy: 0.7792"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/324 [=>............................] - ETA: 48s - loss: 0.4426 - hinge_accuracy: 0.7802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/324 [=>............................] - ETA: 48s - loss: 0.4415 - hinge_accuracy: 0.7803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 33/324 [==>...........................] - ETA: 48s - loss: 0.4464 - hinge_accuracy: 0.7775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/324 [==>...........................] - ETA: 47s - loss: 0.4430 - hinge_accuracy: 0.7794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/324 [==>...........................] - ETA: 47s - loss: 0.4429 - hinge_accuracy: 0.7795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 36/324 [==>...........................] - ETA: 47s - loss: 0.4443 - hinge_accuracy: 0.7786"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 37/324 [==>...........................] - ETA: 47s - loss: 0.4396 - hinge_accuracy: 0.7804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/324 [==>...........................] - ETA: 47s - loss: 0.4379 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/324 [==>...........................] - ETA: 47s - loss: 0.4389 - hinge_accuracy: 0.7804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/324 [==>...........................] - ETA: 46s - loss: 0.4369 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/324 [==>...........................] - ETA: 46s - loss: 0.4309 - hinge_accuracy: 0.7843"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/324 [==>...........................] - ETA: 46s - loss: 0.4339 - hinge_accuracy: 0.7827"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/324 [==>...........................] - ETA: 46s - loss: 0.4315 - hinge_accuracy: 0.7842"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/324 [===>..........................] - ETA: 46s - loss: 0.4315 - hinge_accuracy: 0.7841"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/324 [===>..........................] - ETA: 46s - loss: 0.4312 - hinge_accuracy: 0.7840"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/324 [===>..........................] - ETA: 45s - loss: 0.4341 - hinge_accuracy: 0.7826"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/324 [===>..........................] - ETA: 45s - loss: 0.4383 - hinge_accuracy: 0.7799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/324 [===>..........................] - ETA: 45s - loss: 0.4395 - hinge_accuracy: 0.7793"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/324 [===>..........................] - ETA: 45s - loss: 0.4389 - hinge_accuracy: 0.7793"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/324 [===>..........................] - ETA: 45s - loss: 0.4378 - hinge_accuracy: 0.7800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/324 [===>..........................] - ETA: 45s - loss: 0.4358 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/324 [===>..........................] - ETA: 44s - loss: 0.4329 - hinge_accuracy: 0.7825"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/324 [===>..........................] - ETA: 44s - loss: 0.4320 - hinge_accuracy: 0.7824"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/324 [====>.........................] - ETA: 44s - loss: 0.4272 - hinge_accuracy: 0.7847"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/324 [====>.........................] - ETA: 44s - loss: 0.4308 - hinge_accuracy: 0.7830"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/324 [====>.........................] - ETA: 44s - loss: 0.4351 - hinge_accuracy: 0.7801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/324 [====>.........................] - ETA: 44s - loss: 0.4343 - hinge_accuracy: 0.7807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/324 [====>.........................] - ETA: 43s - loss: 0.4383 - hinge_accuracy: 0.7786"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/324 [====>.........................] - ETA: 43s - loss: 0.4401 - hinge_accuracy: 0.7775"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/324 [====>.........................] - ETA: 43s - loss: 0.4428 - hinge_accuracy: 0.7755"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/324 [====>.........................] - ETA: 43s - loss: 0.4438 - hinge_accuracy: 0.7751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/324 [====>.........................] - ETA: 43s - loss: 0.4477 - hinge_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",
" 63/324 [====>.........................] - ETA: 43s - loss: 0.4453 - hinge_accuracy: 0.7738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/324 [====>.........................] - ETA: 42s - loss: 0.4479 - hinge_accuracy: 0.7725"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/324 [=====>........................] - ETA: 42s - loss: 0.4457 - hinge_accuracy: 0.7736"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/324 [=====>........................] - ETA: 42s - loss: 0.4482 - hinge_accuracy: 0.7718"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/324 [=====>........................] - ETA: 42s - loss: 0.4500 - hinge_accuracy: 0.7710"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/324 [=====>........................] - ETA: 42s - loss: 0.4523 - hinge_accuracy: 0.7693"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/324 [=====>........................] - ETA: 42s - loss: 0.4534 - hinge_accuracy: 0.7686"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/324 [=====>........................] - ETA: 41s - loss: 0.4554 - hinge_accuracy: 0.7674"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/324 [=====>........................] - ETA: 41s - loss: 0.4576 - hinge_accuracy: 0.7663"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/324 [=====>........................] - ETA: 41s - loss: 0.4569 - hinge_accuracy: 0.7669"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/324 [=====>........................] - ETA: 41s - loss: 0.4550 - hinge_accuracy: 0.7680"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/324 [=====>........................] - ETA: 41s - loss: 0.4583 - hinge_accuracy: 0.7660"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/324 [=====>........................] - ETA: 41s - loss: 0.4584 - hinge_accuracy: 0.7658"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/324 [======>.......................] - ETA: 41s - loss: 0.4582 - hinge_accuracy: 0.7660"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/324 [======>.......................] - ETA: 40s - loss: 0.4576 - hinge_accuracy: 0.7662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 78/324 [======>.......................] - ETA: 40s - loss: 0.4577 - hinge_accuracy: 0.7660"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/324 [======>.......................] - ETA: 40s - loss: 0.4583 - hinge_accuracy: 0.7658"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/324 [======>.......................] - ETA: 40s - loss: 0.4571 - hinge_accuracy: 0.7668"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/324 [======>.......................] - ETA: 40s - loss: 0.4556 - hinge_accuracy: 0.7677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/324 [======>.......................] - ETA: 40s - loss: 0.4560 - hinge_accuracy: 0.7675"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 83/324 [======>.......................] - ETA: 39s - loss: 0.4562 - hinge_accuracy: 0.7677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/324 [======>.......................] - ETA: 39s - loss: 0.4562 - hinge_accuracy: 0.7675"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 85/324 [======>.......................] - ETA: 39s - loss: 0.4557 - hinge_accuracy: 0.7673"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/324 [======>.......................] - ETA: 39s - loss: 0.4532 - hinge_accuracy: 0.7689"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/324 [=======>......................] - ETA: 39s - loss: 0.4536 - hinge_accuracy: 0.7687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/324 [=======>......................] - ETA: 39s - loss: 0.4518 - hinge_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",
" 89/324 [=======>......................] - ETA: 38s - loss: 0.4508 - hinge_accuracy: 0.7704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/324 [=======>......................] - ETA: 38s - loss: 0.4512 - hinge_accuracy: 0.7701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/324 [=======>......................] - ETA: 38s - loss: 0.4513 - hinge_accuracy: 0.7703"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/324 [=======>......................] - ETA: 38s - loss: 0.4519 - hinge_accuracy: 0.7700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/324 [=======>......................] - ETA: 38s - loss: 0.4525 - hinge_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",
" 94/324 [=======>......................] - ETA: 38s - loss: 0.4507 - hinge_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",
" 95/324 [=======>......................] - ETA: 37s - loss: 0.4503 - hinge_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",
" 96/324 [=======>......................] - ETA: 37s - loss: 0.4496 - hinge_accuracy: 0.7715"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/324 [=======>......................] - ETA: 37s - loss: 0.4496 - hinge_accuracy: 0.7713"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/324 [========>.....................] - ETA: 37s - loss: 0.4527 - hinge_accuracy: 0.7701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/324 [========>.....................] - ETA: 37s - loss: 0.4529 - hinge_accuracy: 0.7702"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/324 [========>.....................] - ETA: 37s - loss: 0.4515 - hinge_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",
"101/324 [========>.....................] - ETA: 36s - loss: 0.4520 - hinge_accuracy: 0.7707"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/324 [========>.....................] - ETA: 36s - loss: 0.4506 - hinge_accuracy: 0.7714"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"103/324 [========>.....................] - ETA: 36s - loss: 0.4522 - hinge_accuracy: 0.7706"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/324 [========>.....................] - ETA: 36s - loss: 0.4524 - hinge_accuracy: 0.7707"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/324 [========>.....................] - ETA: 36s - loss: 0.4536 - hinge_accuracy: 0.7699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"106/324 [========>.....................] - ETA: 36s - loss: 0.4549 - hinge_accuracy: 0.7692"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"107/324 [========>.....................] - ETA: 35s - loss: 0.4549 - hinge_accuracy: 0.7690"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"108/324 [=========>....................] - ETA: 35s - loss: 0.4547 - hinge_accuracy: 0.7691"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"109/324 [=========>....................] - ETA: 35s - loss: 0.4550 - hinge_accuracy: 0.7686"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"110/324 [=========>....................] - ETA: 35s - loss: 0.4541 - hinge_accuracy: 0.7690"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"111/324 [=========>....................] - ETA: 35s - loss: 0.4524 - hinge_accuracy: 0.7700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"112/324 [=========>....................] - ETA: 35s - loss: 0.4522 - hinge_accuracy: 0.7704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"113/324 [=========>....................] - ETA: 34s - loss: 0.4511 - hinge_accuracy: 0.7710"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"114/324 [=========>....................] - ETA: 34s - loss: 0.4500 - hinge_accuracy: 0.7719"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"115/324 [=========>....................] - ETA: 34s - loss: 0.4504 - hinge_accuracy: 0.7723"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"116/324 [=========>....................] - ETA: 34s - loss: 0.4493 - hinge_accuracy: 0.7729"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"117/324 [=========>....................] - ETA: 34s - loss: 0.4484 - hinge_accuracy: 0.7735"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"118/324 [=========>....................] - ETA: 34s - loss: 0.4475 - hinge_accuracy: 0.7744"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"119/324 [==========>...................] - ETA: 33s - loss: 0.4468 - hinge_accuracy: 0.7749"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"120/324 [==========>...................] - ETA: 33s - loss: 0.4466 - hinge_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",
"121/324 [==========>...................] - ETA: 33s - loss: 0.4473 - hinge_accuracy: 0.7745"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/324 [==========>...................] - ETA: 33s - loss: 0.4487 - hinge_accuracy: 0.7738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"123/324 [==========>...................] - ETA: 33s - loss: 0.4488 - hinge_accuracy: 0.7739"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"124/324 [==========>...................] - ETA: 33s - loss: 0.4474 - hinge_accuracy: 0.7747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"125/324 [==========>...................] - ETA: 32s - loss: 0.4459 - hinge_accuracy: 0.7757"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"126/324 [==========>...................] - ETA: 32s - loss: 0.4458 - hinge_accuracy: 0.7758"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"127/324 [==========>...................] - ETA: 32s - loss: 0.4449 - hinge_accuracy: 0.7763"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"128/324 [==========>...................] - ETA: 32s - loss: 0.4451 - hinge_accuracy: 0.7761"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"129/324 [==========>...................] - ETA: 32s - loss: 0.4465 - hinge_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",
"130/324 [===========>..................] - ETA: 32s - loss: 0.4456 - hinge_accuracy: 0.7760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"131/324 [===========>..................] - ETA: 31s - loss: 0.4453 - hinge_accuracy: 0.7760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"132/324 [===========>..................] - ETA: 31s - loss: 0.4449 - hinge_accuracy: 0.7760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"133/324 [===========>..................] - ETA: 31s - loss: 0.4439 - hinge_accuracy: 0.7768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"134/324 [===========>..................] - ETA: 31s - loss: 0.4451 - hinge_accuracy: 0.7761"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"135/324 [===========>..................] - ETA: 31s - loss: 0.4445 - hinge_accuracy: 0.7769"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"136/324 [===========>..................] - ETA: 31s - loss: 0.4435 - hinge_accuracy: 0.7776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"137/324 [===========>..................] - ETA: 30s - loss: 0.4439 - hinge_accuracy: 0.7771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"138/324 [===========>..................] - ETA: 30s - loss: 0.4435 - hinge_accuracy: 0.7774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"139/324 [===========>..................] - ETA: 30s - loss: 0.4447 - hinge_accuracy: 0.7768"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"140/324 [===========>..................] - ETA: 30s - loss: 0.4431 - hinge_accuracy: 0.7779"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"141/324 [============>.................] - ETA: 30s - loss: 0.4432 - hinge_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",
"142/324 [============>.................] - ETA: 30s - loss: 0.4440 - hinge_accuracy: 0.7771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"143/324 [============>.................] - ETA: 29s - loss: 0.4437 - hinge_accuracy: 0.7771"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"144/324 [============>.................] - ETA: 29s - loss: 0.4432 - hinge_accuracy: 0.7776"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"145/324 [============>.................] - ETA: 29s - loss: 0.4440 - hinge_accuracy: 0.7774"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"146/324 [============>.................] - ETA: 29s - loss: 0.4429 - hinge_accuracy: 0.7780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"147/324 [============>.................] - ETA: 29s - loss: 0.4421 - hinge_accuracy: 0.7785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"148/324 [============>.................] - ETA: 29s - loss: 0.4426 - hinge_accuracy: 0.7783"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"149/324 [============>.................] - ETA: 28s - loss: 0.4416 - hinge_accuracy: 0.7789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"150/324 [============>.................] - ETA: 28s - loss: 0.4408 - hinge_accuracy: 0.7798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"151/324 [============>.................] - ETA: 28s - loss: 0.4398 - hinge_accuracy: 0.7804"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"152/324 [=============>................] - ETA: 28s - loss: 0.4399 - hinge_accuracy: 0.7802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"153/324 [=============>................] - ETA: 28s - loss: 0.4388 - hinge_accuracy: 0.7808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"154/324 [=============>................] - ETA: 28s - loss: 0.4385 - hinge_accuracy: 0.7810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"155/324 [=============>................] - ETA: 27s - loss: 0.4387 - hinge_accuracy: 0.7810"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"156/324 [=============>................] - ETA: 27s - loss: 0.4392 - hinge_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",
"157/324 [=============>................] - ETA: 27s - loss: 0.4383 - hinge_accuracy: 0.7811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"158/324 [=============>................] - ETA: 27s - loss: 0.4381 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"159/324 [=============>................] - ETA: 27s - loss: 0.4370 - hinge_accuracy: 0.7820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"160/324 [=============>................] - ETA: 27s - loss: 0.4371 - hinge_accuracy: 0.7816"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"161/324 [=============>................] - ETA: 26s - loss: 0.4387 - hinge_accuracy: 0.7807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"162/324 [==============>...............] - ETA: 26s - loss: 0.4387 - hinge_accuracy: 0.7805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"163/324 [==============>...............] - ETA: 26s - loss: 0.4388 - hinge_accuracy: 0.7803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"164/324 [==============>...............] - ETA: 26s - loss: 0.4384 - hinge_accuracy: 0.7807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"165/324 [==============>...............] - ETA: 26s - loss: 0.4398 - hinge_accuracy: 0.7801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"166/324 [==============>...............] - ETA: 26s - loss: 0.4393 - hinge_accuracy: 0.7805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"167/324 [==============>...............] - ETA: 25s - loss: 0.4389 - hinge_accuracy: 0.7809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"168/324 [==============>...............] - ETA: 25s - loss: 0.4393 - hinge_accuracy: 0.7805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"169/324 [==============>...............] - ETA: 25s - loss: 0.4387 - hinge_accuracy: 0.7811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"170/324 [==============>...............] - ETA: 25s - loss: 0.4383 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/324 [==============>...............] - ETA: 25s - loss: 0.4377 - hinge_accuracy: 0.7818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"172/324 [==============>...............] - ETA: 25s - loss: 0.4383 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"173/324 [===============>..............] - ETA: 24s - loss: 0.4372 - hinge_accuracy: 0.7818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"174/324 [===============>..............] - ETA: 24s - loss: 0.4380 - hinge_accuracy: 0.7812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"175/324 [===============>..............] - ETA: 24s - loss: 0.4370 - hinge_accuracy: 0.7820"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"176/324 [===============>..............] - ETA: 24s - loss: 0.4376 - hinge_accuracy: 0.7818"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"177/324 [===============>..............] - ETA: 24s - loss: 0.4369 - hinge_accuracy: 0.7823"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"178/324 [===============>..............] - ETA: 24s - loss: 0.4366 - hinge_accuracy: 0.7828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"179/324 [===============>..............] - ETA: 23s - loss: 0.4367 - hinge_accuracy: 0.7826"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"180/324 [===============>..............] - ETA: 23s - loss: 0.4362 - hinge_accuracy: 0.7828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"181/324 [===============>..............] - ETA: 23s - loss: 0.4354 - hinge_accuracy: 0.7835"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"182/324 [===============>..............] - ETA: 23s - loss: 0.4360 - hinge_accuracy: 0.7833"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"183/324 [===============>..............] - ETA: 23s - loss: 0.4361 - hinge_accuracy: 0.7835"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"184/324 [================>.............] - ETA: 23s - loss: 0.4352 - hinge_accuracy: 0.7841"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"185/324 [================>.............] - ETA: 22s - loss: 0.4344 - hinge_accuracy: 0.7848"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"186/324 [================>.............] - ETA: 22s - loss: 0.4342 - hinge_accuracy: 0.7849"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"187/324 [================>.............] - ETA: 22s - loss: 0.4336 - hinge_accuracy: 0.7858"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/324 [================>.............] - ETA: 22s - loss: 0.4340 - hinge_accuracy: 0.7856"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"189/324 [================>.............] - ETA: 22s - loss: 0.4342 - hinge_accuracy: 0.7854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/324 [================>.............] - ETA: 22s - loss: 0.4344 - hinge_accuracy: 0.7855"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"191/324 [================>.............] - ETA: 22s - loss: 0.4339 - hinge_accuracy: 0.7860"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"192/324 [================>.............] - ETA: 21s - loss: 0.4331 - hinge_accuracy: 0.7868"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"193/324 [================>.............] - ETA: 21s - loss: 0.4325 - hinge_accuracy: 0.7872"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"194/324 [================>.............] - ETA: 21s - loss: 0.4326 - hinge_accuracy: 0.7872"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"195/324 [=================>............] - ETA: 21s - loss: 0.4325 - hinge_accuracy: 0.7875"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"196/324 [=================>............] - ETA: 21s - loss: 0.4327 - hinge_accuracy: 0.7876"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"197/324 [=================>............] - ETA: 21s - loss: 0.4327 - hinge_accuracy: 0.7876"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"198/324 [=================>............] - ETA: 20s - loss: 0.4328 - hinge_accuracy: 0.7877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"199/324 [=================>............] - ETA: 20s - loss: 0.4327 - hinge_accuracy: 0.7877"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"200/324 [=================>............] - ETA: 20s - loss: 0.4325 - hinge_accuracy: 0.7880"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"201/324 [=================>............] - ETA: 20s - loss: 0.4321 - hinge_accuracy: 0.7884"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"202/324 [=================>............] - ETA: 20s - loss: 0.4329 - hinge_accuracy: 0.7879"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"203/324 [=================>............] - ETA: 20s - loss: 0.4323 - hinge_accuracy: 0.7883"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"204/324 [=================>............] - ETA: 19s - loss: 0.4315 - hinge_accuracy: 0.7888"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"205/324 [=================>............] - ETA: 19s - loss: 0.4309 - hinge_accuracy: 0.7892"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"206/324 [==================>...........] - ETA: 19s - loss: 0.4303 - hinge_accuracy: 0.7897"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"207/324 [==================>...........] - ETA: 19s - loss: 0.4300 - hinge_accuracy: 0.7902"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"208/324 [==================>...........] - ETA: 19s - loss: 0.4297 - hinge_accuracy: 0.7904"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"209/324 [==================>...........] - ETA: 19s - loss: 0.4292 - hinge_accuracy: 0.7908"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"210/324 [==================>...........] - ETA: 18s - loss: 0.4289 - hinge_accuracy: 0.7911"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/324 [==================>...........] - ETA: 18s - loss: 0.4288 - hinge_accuracy: 0.7910"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"212/324 [==================>...........] - ETA: 18s - loss: 0.4284 - hinge_accuracy: 0.7914"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"213/324 [==================>...........] - ETA: 18s - loss: 0.4284 - hinge_accuracy: 0.7915"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"214/324 [==================>...........] - ETA: 18s - loss: 0.4286 - hinge_accuracy: 0.7913"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"215/324 [==================>...........] - ETA: 18s - loss: 0.4285 - hinge_accuracy: 0.7913"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"216/324 [===================>..........] - ETA: 17s - loss: 0.4289 - hinge_accuracy: 0.7911"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"217/324 [===================>..........] - ETA: 17s - loss: 0.4281 - hinge_accuracy: 0.7916"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"218/324 [===================>..........] - ETA: 17s - loss: 0.4275 - hinge_accuracy: 0.7923"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"219/324 [===================>..........] - ETA: 17s - loss: 0.4272 - hinge_accuracy: 0.7927"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"220/324 [===================>..........] - ETA: 17s - loss: 0.4268 - hinge_accuracy: 0.7930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"221/324 [===================>..........] - ETA: 17s - loss: 0.4269 - hinge_accuracy: 0.7930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/324 [===================>..........] - ETA: 16s - loss: 0.4270 - hinge_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",
"223/324 [===================>..........] - ETA: 16s - loss: 0.4268 - hinge_accuracy: 0.7933"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"224/324 [===================>..........] - ETA: 16s - loss: 0.4268 - hinge_accuracy: 0.7932"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"225/324 [===================>..........] - ETA: 16s - loss: 0.4271 - hinge_accuracy: 0.7931"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"226/324 [===================>..........] - ETA: 16s - loss: 0.4271 - hinge_accuracy: 0.7930"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"227/324 [====================>.........] - ETA: 16s - loss: 0.4266 - hinge_accuracy: 0.7934"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"228/324 [====================>.........] - ETA: 15s - loss: 0.4264 - hinge_accuracy: 0.7936"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"229/324 [====================>.........] - ETA: 15s - loss: 0.4263 - hinge_accuracy: 0.7938"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"230/324 [====================>.........] - ETA: 15s - loss: 0.4260 - hinge_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",
"231/324 [====================>.........] - ETA: 15s - loss: 0.4264 - hinge_accuracy: 0.7936"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"232/324 [====================>.........] - ETA: 15s - loss: 0.4260 - hinge_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",
"233/324 [====================>.........] - ETA: 15s - loss: 0.4256 - hinge_accuracy: 0.7944"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"234/324 [====================>.........] - ETA: 14s - loss: 0.4256 - hinge_accuracy: 0.7945"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"235/324 [====================>.........] - ETA: 14s - loss: 0.4253 - hinge_accuracy: 0.7949"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"236/324 [====================>.........] - ETA: 14s - loss: 0.4253 - hinge_accuracy: 0.7952"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"237/324 [====================>.........] - ETA: 14s - loss: 0.4251 - hinge_accuracy: 0.7952"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"238/324 [=====================>........] - ETA: 14s - loss: 0.4246 - hinge_accuracy: 0.7954"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"239/324 [=====================>........] - ETA: 14s - loss: 0.4247 - hinge_accuracy: 0.7958"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"240/324 [=====================>........] - ETA: 13s - loss: 0.4240 - hinge_accuracy: 0.7962"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"241/324 [=====================>........] - ETA: 13s - loss: 0.4238 - hinge_accuracy: 0.7968"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"242/324 [=====================>........] - ETA: 13s - loss: 0.4234 - hinge_accuracy: 0.7973"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"243/324 [=====================>........] - ETA: 13s - loss: 0.4234 - hinge_accuracy: 0.7975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"244/324 [=====================>........] - ETA: 13s - loss: 0.4235 - hinge_accuracy: 0.7975"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"245/324 [=====================>........] - ETA: 13s - loss: 0.4237 - hinge_accuracy: 0.7973"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"246/324 [=====================>........] - ETA: 12s - loss: 0.4232 - hinge_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",
"247/324 [=====================>........] - ETA: 12s - loss: 0.4230 - hinge_accuracy: 0.7978"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"248/324 [=====================>........] - ETA: 12s - loss: 0.4230 - hinge_accuracy: 0.7980"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"249/324 [======================>.......] - ETA: 12s - loss: 0.4223 - hinge_accuracy: 0.7986"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"250/324 [======================>.......] - ETA: 12s - loss: 0.4224 - hinge_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",
"251/324 [======================>.......] - ETA: 12s - loss: 0.4223 - hinge_accuracy: 0.7987"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"252/324 [======================>.......] - ETA: 11s - loss: 0.4218 - hinge_accuracy: 0.7990"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"253/324 [======================>.......] - ETA: 11s - loss: 0.4210 - hinge_accuracy: 0.7994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"254/324 [======================>.......] - ETA: 11s - loss: 0.4215 - hinge_accuracy: 0.7993"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"255/324 [======================>.......] - ETA: 11s - loss: 0.4209 - hinge_accuracy: 0.7999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"256/324 [======================>.......] - ETA: 11s - loss: 0.4210 - hinge_accuracy: 0.7998"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"257/324 [======================>.......] - ETA: 11s - loss: 0.4214 - hinge_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",
"258/324 [======================>.......] - ETA: 10s - loss: 0.4214 - hinge_accuracy: 0.7999"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/324 [======================>.......] - ETA: 10s - loss: 0.4215 - hinge_accuracy: 0.8000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"260/324 [=======================>......] - ETA: 10s - loss: 0.4211 - hinge_accuracy: 0.8002"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"261/324 [=======================>......] - ETA: 10s - loss: 0.4211 - hinge_accuracy: 0.8002"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"262/324 [=======================>......] - ETA: 10s - loss: 0.4207 - hinge_accuracy: 0.8006"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"263/324 [=======================>......] - ETA: 10s - loss: 0.4202 - hinge_accuracy: 0.8007"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"264/324 [=======================>......] - ETA: 9s - loss: 0.4206 - hinge_accuracy: 0.8007 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"265/324 [=======================>......] - ETA: 9s - loss: 0.4203 - hinge_accuracy: 0.8009"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"266/324 [=======================>......] - ETA: 9s - loss: 0.4195 - hinge_accuracy: 0.8015"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"267/324 [=======================>......] - ETA: 9s - loss: 0.4196 - hinge_accuracy: 0.8014"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"268/324 [=======================>......] - ETA: 9s - loss: 0.4188 - hinge_accuracy: 0.8021"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"269/324 [=======================>......] - ETA: 9s - loss: 0.4187 - hinge_accuracy: 0.8022"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"270/324 [========================>.....] - ETA: 8s - loss: 0.4185 - hinge_accuracy: 0.8023"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"271/324 [========================>.....] - ETA: 8s - loss: 0.4184 - hinge_accuracy: 0.8025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"272/324 [========================>.....] - ETA: 8s - loss: 0.4181 - hinge_accuracy: 0.8026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"273/324 [========================>.....] - ETA: 8s - loss: 0.4179 - hinge_accuracy: 0.8027"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"274/324 [========================>.....] - ETA: 8s - loss: 0.4178 - hinge_accuracy: 0.8029"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"275/324 [========================>.....] - ETA: 8s - loss: 0.4178 - hinge_accuracy: 0.8030"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"276/324 [========================>.....] - ETA: 7s - loss: 0.4181 - hinge_accuracy: 0.8025"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"277/324 [========================>.....] - ETA: 7s - loss: 0.4181 - hinge_accuracy: 0.8026"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"278/324 [========================>.....] - ETA: 7s - loss: 0.4175 - hinge_accuracy: 0.8031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"279/324 [========================>.....] - ETA: 7s - loss: 0.4174 - hinge_accuracy: 0.8032"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"280/324 [========================>.....] - ETA: 7s - loss: 0.4173 - hinge_accuracy: 0.8032"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"281/324 [=========================>....] - ETA: 7s - loss: 0.4178 - hinge_accuracy: 0.8028"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"282/324 [=========================>....] - ETA: 6s - loss: 0.4173 - hinge_accuracy: 0.8033"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"283/324 [=========================>....] - ETA: 6s - loss: 0.4170 - hinge_accuracy: 0.8034"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"284/324 [=========================>....] - ETA: 6s - loss: 0.4168 - hinge_accuracy: 0.8035"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"285/324 [=========================>....] - ETA: 6s - loss: 0.4165 - hinge_accuracy: 0.8037"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"286/324 [=========================>....] - ETA: 6s - loss: 0.4163 - hinge_accuracy: 0.8040"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/324 [=========================>....] - ETA: 6s - loss: 0.4162 - hinge_accuracy: 0.8041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"288/324 [=========================>....] - ETA: 5s - loss: 0.4161 - hinge_accuracy: 0.8041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"289/324 [=========================>....] - ETA: 5s - loss: 0.4159 - hinge_accuracy: 0.8044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"290/324 [=========================>....] - ETA: 5s - loss: 0.4159 - hinge_accuracy: 0.8045"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"291/324 [=========================>....] - ETA: 5s - loss: 0.4159 - hinge_accuracy: 0.8044"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"292/324 [==========================>...] - ETA: 5s - loss: 0.4156 - hinge_accuracy: 0.8045"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"293/324 [==========================>...] - ETA: 5s - loss: 0.4155 - hinge_accuracy: 0.8045"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"294/324 [==========================>...] - ETA: 4s - loss: 0.4158 - hinge_accuracy: 0.8043"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"295/324 [==========================>...] - ETA: 4s - loss: 0.4156 - hinge_accuracy: 0.8043"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"296/324 [==========================>...] - ETA: 4s - loss: 0.4154 - hinge_accuracy: 0.8045"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"297/324 [==========================>...] - ETA: 4s - loss: 0.4149 - hinge_accuracy: 0.8048"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"298/324 [==========================>...] - ETA: 4s - loss: 0.4145 - hinge_accuracy: 0.8052"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"299/324 [==========================>...] - ETA: 4s - loss: 0.4146 - hinge_accuracy: 0.8051"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"300/324 [==========================>...] - ETA: 3s - loss: 0.4141 - hinge_accuracy: 0.8053"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"301/324 [==========================>...] - ETA: 3s - loss: 0.4145 - hinge_accuracy: 0.8050"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"302/324 [==========================>...] - ETA: 3s - loss: 0.4144 - hinge_accuracy: 0.8049"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"303/324 [===========================>..] - ETA: 3s - loss: 0.4149 - hinge_accuracy: 0.8048"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"304/324 [===========================>..] - ETA: 3s - loss: 0.4144 - hinge_accuracy: 0.8052"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"305/324 [===========================>..] - ETA: 3s - loss: 0.4141 - hinge_accuracy: 0.8055"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"306/324 [===========================>..] - ETA: 2s - loss: 0.4144 - hinge_accuracy: 0.8056"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"307/324 [===========================>..] - ETA: 2s - loss: 0.4140 - hinge_accuracy: 0.8060"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"308/324 [===========================>..] - ETA: 2s - loss: 0.4138 - hinge_accuracy: 0.8061"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"309/324 [===========================>..] - ETA: 2s - loss: 0.4136 - hinge_accuracy: 0.8064"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"310/324 [===========================>..] - ETA: 2s - loss: 0.4135 - hinge_accuracy: 0.8065"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/324 [===========================>..] - ETA: 2s - loss: 0.4132 - hinge_accuracy: 0.8067"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"312/324 [===========================>..] - ETA: 1s - loss: 0.4128 - hinge_accuracy: 0.8071"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"313/324 [===========================>..] - ETA: 1s - loss: 0.4123 - hinge_accuracy: 0.8074"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"314/324 [============================>.] - ETA: 1s - loss: 0.4122 - hinge_accuracy: 0.8077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"315/324 [============================>.] - ETA: 1s - loss: 0.4123 - hinge_accuracy: 0.8077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"316/324 [============================>.] - ETA: 1s - loss: 0.4122 - hinge_accuracy: 0.8077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"317/324 [============================>.] - ETA: 1s - loss: 0.4123 - hinge_accuracy: 0.8077"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"318/324 [============================>.] - ETA: 0s - loss: 0.4119 - hinge_accuracy: 0.8080"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"319/324 [============================>.] - ETA: 0s - loss: 0.4117 - hinge_accuracy: 0.8083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"320/324 [============================>.] - ETA: 0s - loss: 0.4115 - hinge_accuracy: 0.8086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"321/324 [============================>.] - ETA: 0s - loss: 0.4117 - hinge_accuracy: 0.8083"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"322/324 [============================>.] - ETA: 0s - loss: 0.4112 - hinge_accuracy: 0.8086"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"323/324 [============================>.] - ETA: 0s - loss: 0.4111 - hinge_accuracy: 0.8085"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"324/324 [==============================] - ETA: 0s - loss: 0.4111 - hinge_accuracy: 0.8091"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"324/324 [==============================] - 55s 171ms/step - loss: 0.4111 - hinge_accuracy: 0.8091 - val_loss: 0.3706 - val_hinge_accuracy: 0.8266\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 3/3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/324 [..............................] - ETA: 53s - loss: 0.2867 - hinge_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",
" 2/324 [..............................] - ETA: 52s - loss: 0.2649 - hinge_accuracy: 0.8906"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/324 [..............................] - ETA: 52s - loss: 0.2656 - hinge_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",
" 4/324 [..............................] - ETA: 53s - loss: 0.2868 - hinge_accuracy: 0.8828"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/324 [..............................] - ETA: 53s - loss: 0.2929 - hinge_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",
" 6/324 [..............................] - ETA: 53s - loss: 0.2806 - hinge_accuracy: 0.8906"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/324 [..............................] - ETA: 52s - loss: 0.2674 - hinge_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",
" 8/324 [..............................] - ETA: 52s - loss: 0.2627 - hinge_accuracy: 0.9102"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/324 [..............................] - ETA: 52s - loss: 0.2649 - hinge_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",
" 10/324 [..............................] - ETA: 52s - loss: 0.2591 - hinge_accuracy: 0.9187"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 11/324 [>.............................] - ETA: 52s - loss: 0.2745 - hinge_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",
" 12/324 [>.............................] - ETA: 51s - loss: 0.2772 - hinge_accuracy: 0.9089"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 13/324 [>.............................] - ETA: 51s - loss: 0.2942 - hinge_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",
" 14/324 [>.............................] - ETA: 51s - loss: 0.3068 - hinge_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",
" 15/324 [>.............................] - ETA: 51s - loss: 0.3122 - hinge_accuracy: 0.8833"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 16/324 [>.............................] - ETA: 51s - loss: 0.3215 - hinge_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\b\b\b\b\b\b\b\r",
" 17/324 [>.............................] - ETA: 51s - loss: 0.3237 - hinge_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",
" 18/324 [>.............................] - ETA: 50s - loss: 0.3346 - hinge_accuracy: 0.8733"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 19/324 [>.............................] - ETA: 50s - loss: 0.3400 - hinge_accuracy: 0.8684"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 20/324 [>.............................] - ETA: 50s - loss: 0.3365 - hinge_accuracy: 0.8687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 21/324 [>.............................] - ETA: 50s - loss: 0.3335 - hinge_accuracy: 0.8676"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 22/324 [=>............................] - ETA: 50s - loss: 0.3351 - hinge_accuracy: 0.8679"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 23/324 [=>............................] - ETA: 50s - loss: 0.3398 - hinge_accuracy: 0.8641"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 24/324 [=>............................] - ETA: 49s - loss: 0.3379 - hinge_accuracy: 0.8646"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 25/324 [=>............................] - ETA: 49s - loss: 0.3437 - hinge_accuracy: 0.8625"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 26/324 [=>............................] - ETA: 49s - loss: 0.3471 - hinge_accuracy: 0.8606"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 27/324 [=>............................] - ETA: 49s - loss: 0.3475 - hinge_accuracy: 0.8588"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 28/324 [=>............................] - ETA: 49s - loss: 0.3431 - hinge_accuracy: 0.8605"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 29/324 [=>............................] - ETA: 48s - loss: 0.3420 - hinge_accuracy: 0.8631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 30/324 [=>............................] - ETA: 48s - loss: 0.3414 - hinge_accuracy: 0.8625"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 31/324 [=>............................] - ETA: 48s - loss: 0.3448 - hinge_accuracy: 0.8599"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 32/324 [=>............................] - ETA: 48s - loss: 0.3466 - hinge_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",
" 33/324 [==>...........................] - ETA: 48s - loss: 0.3478 - hinge_accuracy: 0.8589"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 34/324 [==>...........................] - ETA: 48s - loss: 0.3473 - hinge_accuracy: 0.8575"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 35/324 [==>...........................] - ETA: 47s - loss: 0.3475 - hinge_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",
" 36/324 [==>...........................] - ETA: 47s - loss: 0.3457 - hinge_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",
" 37/324 [==>...........................] - ETA: 47s - loss: 0.3500 - hinge_accuracy: 0.8547"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 38/324 [==>...........................] - ETA: 47s - loss: 0.3520 - hinge_accuracy: 0.8544"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 39/324 [==>...........................] - ETA: 47s - loss: 0.3516 - hinge_accuracy: 0.8542"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 40/324 [==>...........................] - ETA: 47s - loss: 0.3502 - hinge_accuracy: 0.8547"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 41/324 [==>...........................] - ETA: 46s - loss: 0.3500 - hinge_accuracy: 0.8544"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 42/324 [==>...........................] - ETA: 46s - loss: 0.3517 - hinge_accuracy: 0.8534"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 43/324 [==>...........................] - ETA: 46s - loss: 0.3512 - hinge_accuracy: 0.8525"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 44/324 [===>..........................] - ETA: 46s - loss: 0.3499 - hinge_accuracy: 0.8530"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 45/324 [===>..........................] - ETA: 46s - loss: 0.3488 - hinge_accuracy: 0.8528"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 46/324 [===>..........................] - ETA: 46s - loss: 0.3483 - hinge_accuracy: 0.8539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 47/324 [===>..........................] - ETA: 45s - loss: 0.3455 - hinge_accuracy: 0.8551"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 48/324 [===>..........................] - ETA: 45s - loss: 0.3442 - hinge_accuracy: 0.8555"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 49/324 [===>..........................] - ETA: 45s - loss: 0.3428 - hinge_accuracy: 0.8565"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 50/324 [===>..........................] - ETA: 45s - loss: 0.3488 - hinge_accuracy: 0.8519"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 51/324 [===>..........................] - ETA: 45s - loss: 0.3495 - hinge_accuracy: 0.8517"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 52/324 [===>..........................] - ETA: 45s - loss: 0.3495 - hinge_accuracy: 0.8516"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 53/324 [===>..........................] - ETA: 44s - loss: 0.3509 - hinge_accuracy: 0.8508"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 54/324 [====>.........................] - ETA: 44s - loss: 0.3534 - hinge_accuracy: 0.8490"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 55/324 [====>.........................] - ETA: 44s - loss: 0.3560 - hinge_accuracy: 0.8477"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 56/324 [====>.........................] - ETA: 44s - loss: 0.3574 - hinge_accuracy: 0.8454"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 57/324 [====>.........................] - ETA: 44s - loss: 0.3548 - hinge_accuracy: 0.8470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 58/324 [====>.........................] - ETA: 44s - loss: 0.3544 - hinge_accuracy: 0.8470"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 59/324 [====>.........................] - ETA: 43s - loss: 0.3568 - hinge_accuracy: 0.8459"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 60/324 [====>.........................] - ETA: 43s - loss: 0.3568 - hinge_accuracy: 0.8458"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 61/324 [====>.........................] - ETA: 43s - loss: 0.3577 - hinge_accuracy: 0.8453"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 62/324 [====>.........................] - ETA: 43s - loss: 0.3575 - hinge_accuracy: 0.8458"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 63/324 [====>.........................] - ETA: 43s - loss: 0.3603 - hinge_accuracy: 0.8457"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 64/324 [====>.........................] - ETA: 43s - loss: 0.3590 - hinge_accuracy: 0.8472"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 65/324 [=====>........................] - ETA: 42s - loss: 0.3585 - hinge_accuracy: 0.8486"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 66/324 [=====>........................] - ETA: 42s - loss: 0.3578 - hinge_accuracy: 0.8494"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 67/324 [=====>........................] - ETA: 42s - loss: 0.3580 - hinge_accuracy: 0.8503"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 68/324 [=====>........................] - ETA: 42s - loss: 0.3577 - hinge_accuracy: 0.8506"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 69/324 [=====>........................] - ETA: 42s - loss: 0.3574 - hinge_accuracy: 0.8514"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 70/324 [=====>........................] - ETA: 42s - loss: 0.3587 - hinge_accuracy: 0.8513"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 71/324 [=====>........................] - ETA: 41s - loss: 0.3577 - hinge_accuracy: 0.8521"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 72/324 [=====>........................] - ETA: 41s - loss: 0.3567 - hinge_accuracy: 0.8533"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 73/324 [=====>........................] - ETA: 41s - loss: 0.3567 - hinge_accuracy: 0.8536"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 74/324 [=====>........................] - ETA: 41s - loss: 0.3564 - hinge_accuracy: 0.8539"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 75/324 [=====>........................] - ETA: 41s - loss: 0.3550 - hinge_accuracy: 0.8554"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 76/324 [======>.......................] - ETA: 41s - loss: 0.3550 - hinge_accuracy: 0.8569"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 77/324 [======>.......................] - ETA: 40s - loss: 0.3548 - hinge_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",
" 78/324 [======>.......................] - ETA: 40s - loss: 0.3546 - hinge_accuracy: 0.8590"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 79/324 [======>.......................] - ETA: 40s - loss: 0.3531 - hinge_accuracy: 0.8604"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 80/324 [======>.......................] - ETA: 40s - loss: 0.3538 - hinge_accuracy: 0.8605"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 81/324 [======>.......................] - ETA: 40s - loss: 0.3558 - hinge_accuracy: 0.8603"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 82/324 [======>.......................] - ETA: 40s - loss: 0.3572 - hinge_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",
" 83/324 [======>.......................] - ETA: 39s - loss: 0.3568 - hinge_accuracy: 0.8618"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 84/324 [======>.......................] - ETA: 39s - loss: 0.3585 - hinge_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",
" 85/324 [======>.......................] - ETA: 39s - loss: 0.3592 - hinge_accuracy: 0.8621"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 86/324 [======>.......................] - ETA: 39s - loss: 0.3598 - hinge_accuracy: 0.8623"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 87/324 [=======>......................] - ETA: 39s - loss: 0.3607 - hinge_accuracy: 0.8621"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 88/324 [=======>......................] - ETA: 39s - loss: 0.3600 - hinge_accuracy: 0.8633"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 89/324 [=======>......................] - ETA: 38s - loss: 0.3587 - hinge_accuracy: 0.8641"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 90/324 [=======>......................] - ETA: 38s - loss: 0.3599 - hinge_accuracy: 0.8632"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 91/324 [=======>......................] - ETA: 38s - loss: 0.3594 - hinge_accuracy: 0.8630"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 92/324 [=======>......................] - ETA: 38s - loss: 0.3609 - hinge_accuracy: 0.8631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 93/324 [=======>......................] - ETA: 38s - loss: 0.3596 - hinge_accuracy: 0.8642"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 94/324 [=======>......................] - ETA: 38s - loss: 0.3594 - hinge_accuracy: 0.8644"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 95/324 [=======>......................] - ETA: 37s - loss: 0.3596 - hinge_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",
" 96/324 [=======>......................] - ETA: 37s - loss: 0.3589 - hinge_accuracy: 0.8649"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 97/324 [=======>......................] - ETA: 37s - loss: 0.3600 - hinge_accuracy: 0.8644"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 98/324 [========>.....................] - ETA: 37s - loss: 0.3614 - hinge_accuracy: 0.8632"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 99/324 [========>.....................] - ETA: 37s - loss: 0.3595 - hinge_accuracy: 0.8640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"100/324 [========>.....................] - ETA: 37s - loss: 0.3589 - hinge_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",
"101/324 [========>.....................] - ETA: 36s - loss: 0.3595 - hinge_accuracy: 0.8639"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"102/324 [========>.....................] - ETA: 36s - loss: 0.3603 - hinge_accuracy: 0.8631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"103/324 [========>.....................] - ETA: 36s - loss: 0.3608 - hinge_accuracy: 0.8638"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"104/324 [========>.....................] - ETA: 36s - loss: 0.3605 - hinge_accuracy: 0.8642"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"105/324 [========>.....................] - ETA: 36s - loss: 0.3595 - hinge_accuracy: 0.8649"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"106/324 [========>.....................] - ETA: 36s - loss: 0.3593 - hinge_accuracy: 0.8650"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"107/324 [========>.....................] - ETA: 35s - loss: 0.3605 - hinge_accuracy: 0.8633"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"108/324 [=========>....................] - ETA: 35s - loss: 0.3602 - hinge_accuracy: 0.8631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"109/324 [=========>....................] - ETA: 35s - loss: 0.3598 - hinge_accuracy: 0.8632"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"110/324 [=========>....................] - ETA: 35s - loss: 0.3613 - hinge_accuracy: 0.8631"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"111/324 [=========>....................] - ETA: 35s - loss: 0.3605 - hinge_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",
"112/324 [=========>....................] - ETA: 35s - loss: 0.3614 - hinge_accuracy: 0.8633"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"113/324 [=========>....................] - ETA: 34s - loss: 0.3611 - hinge_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",
"114/324 [=========>....................] - ETA: 34s - loss: 0.3607 - hinge_accuracy: 0.8638"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"115/324 [=========>....................] - ETA: 34s - loss: 0.3597 - hinge_accuracy: 0.8644"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"116/324 [=========>....................] - ETA: 34s - loss: 0.3596 - hinge_accuracy: 0.8642"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"117/324 [=========>....................] - ETA: 34s - loss: 0.3595 - hinge_accuracy: 0.8640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"118/324 [=========>....................] - ETA: 34s - loss: 0.3591 - hinge_accuracy: 0.8639"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"119/324 [==========>...................] - ETA: 33s - loss: 0.3587 - hinge_accuracy: 0.8640"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"120/324 [==========>...................] - ETA: 33s - loss: 0.3578 - hinge_accuracy: 0.8648"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"121/324 [==========>...................] - ETA: 33s - loss: 0.3581 - hinge_accuracy: 0.8647"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"122/324 [==========>...................] - ETA: 33s - loss: 0.3576 - hinge_accuracy: 0.8653"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"123/324 [==========>...................] - ETA: 33s - loss: 0.3575 - hinge_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",
"124/324 [==========>...................] - ETA: 33s - loss: 0.3573 - hinge_accuracy: 0.8652"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"125/324 [==========>...................] - ETA: 32s - loss: 0.3582 - hinge_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",
"126/324 [==========>...................] - ETA: 32s - loss: 0.3580 - hinge_accuracy: 0.8646"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"127/324 [==========>...................] - ETA: 32s - loss: 0.3586 - hinge_accuracy: 0.8639"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"128/324 [==========>...................] - ETA: 32s - loss: 0.3583 - hinge_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",
"129/324 [==========>...................] - ETA: 32s - loss: 0.3581 - hinge_accuracy: 0.8646"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"130/324 [===========>..................] - ETA: 32s - loss: 0.3573 - hinge_accuracy: 0.8654"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"131/324 [===========>..................] - ETA: 31s - loss: 0.3565 - hinge_accuracy: 0.8662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"132/324 [===========>..................] - ETA: 31s - loss: 0.3575 - hinge_accuracy: 0.8655"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"133/324 [===========>..................] - ETA: 31s - loss: 0.3578 - hinge_accuracy: 0.8661"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"134/324 [===========>..................] - ETA: 31s - loss: 0.3579 - hinge_accuracy: 0.8661"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"135/324 [===========>..................] - ETA: 31s - loss: 0.3583 - hinge_accuracy: 0.8662"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"136/324 [===========>..................] - ETA: 31s - loss: 0.3578 - hinge_accuracy: 0.8670"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"137/324 [===========>..................] - ETA: 30s - loss: 0.3573 - hinge_accuracy: 0.8672"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"138/324 [===========>..................] - ETA: 30s - loss: 0.3568 - hinge_accuracy: 0.8675"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"139/324 [===========>..................] - ETA: 30s - loss: 0.3571 - hinge_accuracy: 0.8667"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"140/324 [===========>..................] - ETA: 30s - loss: 0.3578 - hinge_accuracy: 0.8667"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"141/324 [============>.................] - ETA: 30s - loss: 0.3577 - hinge_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",
"142/324 [============>.................] - ETA: 30s - loss: 0.3565 - hinge_accuracy: 0.8677"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"143/324 [============>.................] - ETA: 29s - loss: 0.3560 - hinge_accuracy: 0.8682"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"144/324 [============>.................] - ETA: 29s - loss: 0.3567 - hinge_accuracy: 0.8683"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"145/324 [============>.................] - ETA: 29s - loss: 0.3560 - hinge_accuracy: 0.8685"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"146/324 [============>.................] - ETA: 29s - loss: 0.3560 - hinge_accuracy: 0.8688"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"147/324 [============>.................] - ETA: 29s - loss: 0.3557 - hinge_accuracy: 0.8693"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"148/324 [============>.................] - ETA: 29s - loss: 0.3559 - hinge_accuracy: 0.8695"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"149/324 [============>.................] - ETA: 28s - loss: 0.3550 - hinge_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",
"150/324 [============>.................] - ETA: 28s - loss: 0.3546 - hinge_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",
"151/324 [============>.................] - ETA: 28s - loss: 0.3544 - hinge_accuracy: 0.8704"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"152/324 [=============>................] - ETA: 28s - loss: 0.3544 - hinge_accuracy: 0.8705"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"153/324 [=============>................] - ETA: 28s - loss: 0.3543 - hinge_accuracy: 0.8705"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"154/324 [=============>................] - ETA: 28s - loss: 0.3547 - hinge_accuracy: 0.8701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"155/324 [=============>................] - ETA: 27s - loss: 0.3552 - hinge_accuracy: 0.8698"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"156/324 [=============>................] - ETA: 27s - loss: 0.3551 - hinge_accuracy: 0.8700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"157/324 [=============>................] - ETA: 27s - loss: 0.3554 - hinge_accuracy: 0.8700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"158/324 [=============>................] - ETA: 27s - loss: 0.3556 - hinge_accuracy: 0.8699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"159/324 [=============>................] - ETA: 27s - loss: 0.3554 - hinge_accuracy: 0.8699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"160/324 [=============>................] - ETA: 27s - loss: 0.3555 - hinge_accuracy: 0.8697"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"161/324 [=============>................] - ETA: 26s - loss: 0.3552 - hinge_accuracy: 0.8701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"162/324 [==============>...............] - ETA: 26s - loss: 0.3548 - hinge_accuracy: 0.8706"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"163/324 [==============>...............] - ETA: 26s - loss: 0.3544 - hinge_accuracy: 0.8708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"164/324 [==============>...............] - ETA: 26s - loss: 0.3551 - hinge_accuracy: 0.8699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"165/324 [==============>...............] - ETA: 26s - loss: 0.3561 - hinge_accuracy: 0.8693"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"166/324 [==============>...............] - ETA: 26s - loss: 0.3558 - hinge_accuracy: 0.8697"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"167/324 [==============>...............] - ETA: 25s - loss: 0.3556 - hinge_accuracy: 0.8699"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"168/324 [==============>...............] - ETA: 25s - loss: 0.3560 - hinge_accuracy: 0.8700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"169/324 [==============>...............] - ETA: 25s - loss: 0.3561 - hinge_accuracy: 0.8706"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"170/324 [==============>...............] - ETA: 25s - loss: 0.3558 - hinge_accuracy: 0.8708"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"171/324 [==============>...............] - ETA: 25s - loss: 0.3568 - hinge_accuracy: 0.8701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"172/324 [==============>...............] - ETA: 25s - loss: 0.3569 - hinge_accuracy: 0.8705"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"173/324 [===============>..............] - ETA: 24s - loss: 0.3574 - hinge_accuracy: 0.8701"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"174/324 [===============>..............] - ETA: 24s - loss: 0.3576 - hinge_accuracy: 0.8700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"175/324 [===============>..............] - ETA: 24s - loss: 0.3574 - hinge_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",
"176/324 [===============>..............] - ETA: 24s - loss: 0.3566 - hinge_accuracy: 0.8709"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"177/324 [===============>..............] - ETA: 24s - loss: 0.3564 - hinge_accuracy: 0.8711"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"178/324 [===============>..............] - ETA: 24s - loss: 0.3556 - hinge_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\b\b\b\b\b\b\b\r",
"179/324 [===============>..............] - ETA: 23s - loss: 0.3553 - hinge_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",
"180/324 [===============>..............] - ETA: 23s - loss: 0.3546 - hinge_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\b\b\b\b\b\b\b\r",
"181/324 [===============>..............] - ETA: 23s - loss: 0.3550 - hinge_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",
"182/324 [===============>..............] - ETA: 23s - loss: 0.3554 - hinge_accuracy: 0.8723"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"183/324 [===============>..............] - ETA: 23s - loss: 0.3554 - hinge_accuracy: 0.8724"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"184/324 [================>.............] - ETA: 23s - loss: 0.3557 - hinge_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\b\b\b\b\b\b\b\r",
"185/324 [================>.............] - ETA: 22s - loss: 0.3562 - hinge_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\b\b\b\b\b\b\b\r",
"186/324 [================>.............] - ETA: 22s - loss: 0.3568 - hinge_accuracy: 0.8723"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"187/324 [================>.............] - ETA: 22s - loss: 0.3568 - hinge_accuracy: 0.8723"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"188/324 [================>.............] - ETA: 22s - loss: 0.3572 - hinge_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",
"189/324 [================>.............] - ETA: 22s - loss: 0.3566 - hinge_accuracy: 0.8733"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"190/324 [================>.............] - ETA: 22s - loss: 0.3569 - hinge_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",
"191/324 [================>.............] - ETA: 21s - loss: 0.3567 - hinge_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",
"192/324 [================>.............] - ETA: 21s - loss: 0.3564 - hinge_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",
"193/324 [================>.............] - ETA: 21s - loss: 0.3560 - hinge_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",
"194/324 [================>.............] - ETA: 21s - loss: 0.3562 - hinge_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",
"195/324 [=================>............] - ETA: 21s - loss: 0.3561 - hinge_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",
"196/324 [=================>............] - ETA: 21s - loss: 0.3556 - hinge_accuracy: 0.8742"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"197/324 [=================>............] - ETA: 21s - loss: 0.3559 - hinge_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",
"198/324 [=================>............] - ETA: 20s - loss: 0.3563 - hinge_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",
"199/324 [=================>............] - ETA: 20s - loss: 0.3575 - hinge_accuracy: 0.8742"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"200/324 [=================>............] - ETA: 20s - loss: 0.3578 - hinge_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",
"201/324 [=================>............] - ETA: 20s - loss: 0.3579 - hinge_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",
"202/324 [=================>............] - ETA: 20s - loss: 0.3576 - hinge_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\b\b\b\b\b\b\b\r",
"203/324 [=================>............] - ETA: 20s - loss: 0.3574 - hinge_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\b\b\b\b\b\b\b\r",
"204/324 [=================>............] - ETA: 19s - loss: 0.3567 - hinge_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",
"205/324 [=================>............] - ETA: 19s - loss: 0.3563 - hinge_accuracy: 0.8745"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"206/324 [==================>...........] - ETA: 19s - loss: 0.3565 - hinge_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",
"207/324 [==================>...........] - ETA: 19s - loss: 0.3566 - hinge_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",
"208/324 [==================>...........] - ETA: 19s - loss: 0.3560 - hinge_accuracy: 0.8747"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"209/324 [==================>...........] - ETA: 19s - loss: 0.3570 - hinge_accuracy: 0.8743"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"210/324 [==================>...........] - ETA: 18s - loss: 0.3567 - hinge_accuracy: 0.8743"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"211/324 [==================>...........] - ETA: 18s - loss: 0.3563 - hinge_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",
"212/324 [==================>...........] - ETA: 18s - loss: 0.3562 - hinge_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",
"213/324 [==================>...........] - ETA: 18s - loss: 0.3560 - hinge_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",
"214/324 [==================>...........] - ETA: 18s - loss: 0.3559 - hinge_accuracy: 0.8753"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"215/324 [==================>...........] - ETA: 18s - loss: 0.3560 - hinge_accuracy: 0.8754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"216/324 [===================>..........] - ETA: 17s - loss: 0.3556 - hinge_accuracy: 0.8757"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"217/324 [===================>..........] - ETA: 17s - loss: 0.3557 - hinge_accuracy: 0.8754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"218/324 [===================>..........] - ETA: 17s - loss: 0.3553 - hinge_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",
"219/324 [===================>..........] - ETA: 17s - loss: 0.3560 - hinge_accuracy: 0.8751"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"220/324 [===================>..........] - ETA: 17s - loss: 0.3557 - hinge_accuracy: 0.8754"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"221/324 [===================>..........] - ETA: 17s - loss: 0.3551 - hinge_accuracy: 0.8757"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"222/324 [===================>..........] - ETA: 16s - loss: 0.3551 - hinge_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",
"223/324 [===================>..........] - ETA: 16s - loss: 0.3550 - hinge_accuracy: 0.8760"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"224/324 [===================>..........] - ETA: 16s - loss: 0.3549 - hinge_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",
"225/324 [===================>..........] - ETA: 16s - loss: 0.3550 - hinge_accuracy: 0.8763"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"226/324 [===================>..........] - ETA: 16s - loss: 0.3549 - hinge_accuracy: 0.8765"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"227/324 [====================>.........] - ETA: 16s - loss: 0.3550 - hinge_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\b\b\b\b\b\b\b\r",
"228/324 [====================>.........] - ETA: 15s - loss: 0.3547 - hinge_accuracy: 0.8769"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"229/324 [====================>.........] - ETA: 15s - loss: 0.3555 - hinge_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\b\b\b\b\b\b\b\r",
"230/324 [====================>.........] - ETA: 15s - loss: 0.3557 - hinge_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\b\b\b\b\b\b\b\r",
"231/324 [====================>.........] - ETA: 15s - loss: 0.3553 - hinge_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\b\b\b\b\b\b\b\r",
"232/324 [====================>.........] - ETA: 15s - loss: 0.3556 - hinge_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\b\b\b\b\b\b\b\r",
"233/324 [====================>.........] - ETA: 15s - loss: 0.3555 - hinge_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",
"234/324 [====================>.........] - ETA: 14s - loss: 0.3555 - hinge_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",
"235/324 [====================>.........] - ETA: 14s - loss: 0.3547 - hinge_accuracy: 0.8778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"236/324 [====================>.........] - ETA: 14s - loss: 0.3550 - hinge_accuracy: 0.8780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"237/324 [====================>.........] - ETA: 14s - loss: 0.3550 - hinge_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\b\b\b\b\b\b\b\r",
"238/324 [=====================>........] - ETA: 14s - loss: 0.3552 - hinge_accuracy: 0.8778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"239/324 [=====================>........] - ETA: 14s - loss: 0.3548 - hinge_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\b\b\b\b\b\b\b\r",
"240/324 [=====================>........] - ETA: 13s - loss: 0.3550 - hinge_accuracy: 0.8780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"241/324 [=====================>........] - ETA: 13s - loss: 0.3550 - hinge_accuracy: 0.8780"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"242/324 [=====================>........] - ETA: 13s - loss: 0.3550 - hinge_accuracy: 0.8782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"243/324 [=====================>........] - ETA: 13s - loss: 0.3550 - hinge_accuracy: 0.8782"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"244/324 [=====================>........] - ETA: 13s - loss: 0.3545 - hinge_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",
"245/324 [=====================>........] - ETA: 13s - loss: 0.3547 - hinge_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",
"246/324 [=====================>........] - ETA: 12s - loss: 0.3551 - hinge_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",
"247/324 [=====================>........] - ETA: 12s - loss: 0.3553 - hinge_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",
"248/324 [=====================>........] - ETA: 12s - loss: 0.3555 - hinge_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",
"249/324 [======================>.......] - ETA: 12s - loss: 0.3558 - hinge_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\b\b\b\b\b\b\b\r",
"250/324 [======================>.......] - ETA: 12s - loss: 0.3557 - hinge_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",
"251/324 [======================>.......] - ETA: 12s - loss: 0.3551 - hinge_accuracy: 0.8794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"252/324 [======================>.......] - ETA: 11s - loss: 0.3550 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"253/324 [======================>.......] - ETA: 11s - loss: 0.3547 - hinge_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\b\b\b\b\b\b\b\r",
"254/324 [======================>.......] - ETA: 11s - loss: 0.3545 - hinge_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\b\b\b\b\b\b\b\r",
"255/324 [======================>.......] - ETA: 11s - loss: 0.3545 - hinge_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\b\b\b\b\b\b\b\r",
"256/324 [======================>.......] - ETA: 11s - loss: 0.3553 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"257/324 [======================>.......] - ETA: 11s - loss: 0.3554 - hinge_accuracy: 0.8794"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"258/324 [======================>.......] - ETA: 10s - loss: 0.3558 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"259/324 [======================>.......] - ETA: 10s - loss: 0.3557 - hinge_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\b\b\b\b\b\b\b\r",
"260/324 [=======================>......] - ETA: 10s - loss: 0.3555 - hinge_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\b\b\b\b\b\b\b\r",
"261/324 [=======================>......] - ETA: 10s - loss: 0.3558 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"262/324 [=======================>......] - ETA: 10s - loss: 0.3552 - hinge_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\b\b\b\b\b\b\b\r",
"263/324 [=======================>......] - ETA: 10s - loss: 0.3551 - hinge_accuracy: 0.8799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"264/324 [=======================>......] - ETA: 9s - loss: 0.3552 - hinge_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\b\b\b\b\b\b\r",
"265/324 [=======================>......] - ETA: 9s - loss: 0.3555 - hinge_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\b\b\b\b\b\b\r",
"266/324 [=======================>......] - ETA: 9s - loss: 0.3557 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"267/324 [=======================>......] - ETA: 9s - loss: 0.3559 - hinge_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\b\b\b\b\b\b\r",
"268/324 [=======================>......] - ETA: 9s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"269/324 [=======================>......] - ETA: 9s - loss: 0.3559 - hinge_accuracy: 0.8799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"270/324 [========================>.....] - ETA: 8s - loss: 0.3556 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"271/324 [========================>.....] - ETA: 8s - loss: 0.3554 - hinge_accuracy: 0.8807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"272/324 [========================>.....] - ETA: 8s - loss: 0.3555 - hinge_accuracy: 0.8809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"273/324 [========================>.....] - ETA: 8s - loss: 0.3551 - hinge_accuracy: 0.8811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"274/324 [========================>.....] - ETA: 8s - loss: 0.3551 - hinge_accuracy: 0.8808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"275/324 [========================>.....] - ETA: 8s - loss: 0.3552 - hinge_accuracy: 0.8809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"276/324 [========================>.....] - ETA: 7s - loss: 0.3558 - hinge_accuracy: 0.8808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"277/324 [========================>.....] - ETA: 7s - loss: 0.3556 - hinge_accuracy: 0.8808"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"278/324 [========================>.....] - ETA: 7s - loss: 0.3553 - hinge_accuracy: 0.8811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"279/324 [========================>.....] - ETA: 7s - loss: 0.3554 - hinge_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\b\b\b\b\b\b\r",
"280/324 [========================>.....] - ETA: 7s - loss: 0.3556 - hinge_accuracy: 0.8809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"281/324 [=========================>....] - ETA: 7s - loss: 0.3560 - hinge_accuracy: 0.8807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"282/324 [=========================>....] - ETA: 6s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"283/324 [=========================>....] - ETA: 6s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"284/324 [=========================>....] - ETA: 6s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"285/324 [=========================>....] - ETA: 6s - loss: 0.3555 - hinge_accuracy: 0.8809"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"286/324 [=========================>....] - ETA: 6s - loss: 0.3549 - hinge_accuracy: 0.8811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"287/324 [=========================>....] - ETA: 6s - loss: 0.3549 - hinge_accuracy: 0.8812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"288/324 [=========================>....] - ETA: 5s - loss: 0.3549 - hinge_accuracy: 0.8813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"289/324 [=========================>....] - ETA: 5s - loss: 0.3550 - hinge_accuracy: 0.8813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"290/324 [=========================>....] - ETA: 5s - loss: 0.3547 - hinge_accuracy: 0.8815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"291/324 [=========================>....] - ETA: 5s - loss: 0.3553 - hinge_accuracy: 0.8812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"292/324 [==========================>...] - ETA: 5s - loss: 0.3555 - hinge_accuracy: 0.8811"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"293/324 [==========================>...] - ETA: 5s - loss: 0.3558 - hinge_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\b\b\b\b\b\b\r",
"294/324 [==========================>...] - ETA: 4s - loss: 0.3562 - hinge_accuracy: 0.8807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"295/324 [==========================>...] - ETA: 4s - loss: 0.3562 - hinge_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\b\b\b\b\b\b\r",
"296/324 [==========================>...] - ETA: 4s - loss: 0.3563 - hinge_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\b\b\b\b\b\b\r",
"297/324 [==========================>...] - ETA: 4s - loss: 0.3560 - hinge_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\b\b\b\b\b\b\r",
"298/324 [==========================>...] - ETA: 4s - loss: 0.3563 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"299/324 [==========================>...] - ETA: 4s - loss: 0.3563 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"300/324 [==========================>...] - ETA: 3s - loss: 0.3565 - hinge_accuracy: 0.8802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"301/324 [==========================>...] - ETA: 3s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"302/324 [==========================>...] - ETA: 3s - loss: 0.3557 - hinge_accuracy: 0.8807"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"303/324 [===========================>..] - ETA: 3s - loss: 0.3559 - hinge_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\b\b\b\b\b\b\r",
"304/324 [===========================>..] - ETA: 3s - loss: 0.3561 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"305/324 [===========================>..] - ETA: 3s - loss: 0.3564 - hinge_accuracy: 0.8802"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"306/324 [===========================>..] - ETA: 2s - loss: 0.3565 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"307/324 [===========================>..] - ETA: 2s - loss: 0.3564 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"308/324 [===========================>..] - ETA: 2s - loss: 0.3563 - hinge_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\b\b\b\b\b\b\r",
"309/324 [===========================>..] - ETA: 2s - loss: 0.3561 - hinge_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\b\b\b\b\b\b\r",
"310/324 [===========================>..] - ETA: 2s - loss: 0.3569 - hinge_accuracy: 0.8801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"311/324 [===========================>..] - ETA: 2s - loss: 0.3569 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"312/324 [===========================>..] - ETA: 1s - loss: 0.3568 - hinge_accuracy: 0.8803"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"313/324 [===========================>..] - ETA: 1s - loss: 0.3572 - hinge_accuracy: 0.8801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"314/324 [============================>.] - ETA: 1s - loss: 0.3573 - hinge_accuracy: 0.8800"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"315/324 [============================>.] - ETA: 1s - loss: 0.3578 - hinge_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\b\b\b\b\b\b\r",
"316/324 [============================>.] - ETA: 1s - loss: 0.3577 - hinge_accuracy: 0.8799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"317/324 [============================>.] - ETA: 1s - loss: 0.3578 - hinge_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\b\b\b\b\b\b\r",
"318/324 [============================>.] - ETA: 0s - loss: 0.3579 - hinge_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\b\b\b\b\b\b\r",
"319/324 [============================>.] - ETA: 0s - loss: 0.3581 - hinge_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\b\b\b\b\b\b\r",
"320/324 [============================>.] - ETA: 0s - loss: 0.3582 - hinge_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\b\b\b\b\b\b\r",
"321/324 [============================>.] - ETA: 0s - loss: 0.3582 - hinge_accuracy: 0.8799"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"322/324 [============================>.] - ETA: 0s - loss: 0.3584 - hinge_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\b\b\b\b\b\b\r",
"323/324 [============================>.] - ETA: 0s - loss: 0.3589 - hinge_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\b\b\b\b\b\b\r",
"324/324 [==============================] - ETA: 0s - loss: 0.3588 - hinge_accuracy: 0.8801"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"324/324 [==============================] - 55s 171ms/step - loss: 0.3588 - hinge_accuracy: 0.8801 - val_loss: 0.3472 - val_hinge_accuracy: 0.9042\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/62 [..............................] - ETA: 10s - loss: 0.4724 - hinge_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\r",
" 3/62 [>.............................] - ETA: 1s - loss: 0.4439 - hinge_accuracy: 0.8542 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/62 [=>............................] - ETA: 1s - loss: 0.4242 - hinge_accuracy: 0.8687"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/62 [==>...........................] - ETA: 1s - loss: 0.4111 - hinge_accuracy: 0.8795"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/62 [===>..........................] - ETA: 1s - loss: 0.4067 - hinge_accuracy: 0.8785"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"11/62 [====>.........................] - ETA: 1s - loss: 0.4133 - hinge_accuracy: 0.8778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"13/62 [=====>........................] - ETA: 1s - loss: 0.4099 - hinge_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\r",
"15/62 [======>.......................] - ETA: 1s - loss: 0.4037 - hinge_accuracy: 0.8875"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"17/62 [=======>......................] - ETA: 1s - loss: 0.4063 - hinge_accuracy: 0.8897"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"19/62 [========>.....................] - ETA: 1s - loss: 0.4103 - hinge_accuracy: 0.8865"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"21/62 [=========>....................] - ETA: 1s - loss: 0.4076 - hinge_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\r",
"23/62 [==========>...................] - ETA: 1s - loss: 0.4010 - hinge_accuracy: 0.8913"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"25/62 [===========>..................] - ETA: 1s - loss: 0.4121 - hinge_accuracy: 0.8813"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"27/62 [============>.................] - ETA: 1s - loss: 0.4028 - hinge_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\r",
"29/62 [=============>................] - ETA: 1s - loss: 0.3979 - hinge_accuracy: 0.8890"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"31/62 [==============>...............] - ETA: 0s - loss: 0.3993 - hinge_accuracy: 0.8871"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"33/62 [==============>...............] - ETA: 0s - loss: 0.3913 - hinge_accuracy: 0.8892"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"35/62 [===============>..............] - ETA: 0s - loss: 0.3861 - hinge_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\r",
"37/62 [================>.............] - ETA: 0s - loss: 0.3829 - hinge_accuracy: 0.8961"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"39/62 [=================>............] - ETA: 0s - loss: 0.3798 - hinge_accuracy: 0.8982"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"41/62 [==================>...........] - ETA: 0s - loss: 0.3787 - hinge_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\r",
"43/62 [===================>..........] - ETA: 0s - loss: 0.3753 - hinge_accuracy: 0.8997"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"45/62 [====================>.........] - ETA: 0s - loss: 0.3690 - hinge_accuracy: 0.9028"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"47/62 [=====================>........] - ETA: 0s - loss: 0.3644 - hinge_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\r",
"49/62 [======================>.......] - ETA: 0s - loss: 0.3583 - hinge_accuracy: 0.9024"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"51/62 [=======================>......] - ETA: 0s - loss: 0.3547 - hinge_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\r",
"53/62 [========================>.....] - ETA: 0s - loss: 0.3514 - hinge_accuracy: 0.9068"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"55/62 [=========================>....] - ETA: 0s - loss: 0.3478 - hinge_accuracy: 0.9074"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"57/62 [==========================>...] - ETA: 0s - loss: 0.3491 - hinge_accuracy: 0.9041"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"59/62 [===========================>..] - ETA: 0s - loss: 0.3447 - hinge_accuracy: 0.9052"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"61/62 [============================>.] - ETA: 0s - loss: 0.3462 - hinge_accuracy: 0.9057"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"62/62 [==============================] - 2s 32ms/step - loss: 0.3472 - hinge_accuracy: 0.9042\n"
]
}
],
"source": [
"qnn_history = model.fit(\n",
" x_train_tfcirc_sub, y_train_hinge_sub,\n",
" batch_size=32,\n",
" epochs=EPOCHS,\n",
" verbose=1,\n",
" validation_data=(x_test_tfcirc, y_test_hinge))\n",
"\n",
"qnn_results = model.evaluate(x_test_tfcirc, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "3ER7B7aaojiP"
},
"source": [
"Note: The training accuracy reports the average over the epoch. The validation accuracy is evaluated at the end of each epoch."
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "8952YvuWGL7J"
},
"source": [
"## 3. Classical neural network\n",
"\n",
"While the quantum neural network works for this simplified MNIST problem, a basic classical neural network can easily outperform a QNN on this task. After a single epoch, a classical neural network can achieve >98% accuracy on the holdout set.\n",
"\n",
"In the following example, a classical neural network is used for for the 3-6 classification problem using the entire 28x28 image instead of subsampling the image. This easily converges to nearly 100% accuracy of the test set."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:42:20.991385Z",
"iopub.status.busy": "2024-05-18T11:42:20.990640Z",
"iopub.status.idle": "2024-05-18T11:42:21.086356Z",
"shell.execute_reply": "2024-05-18T11:42:21.085640Z"
},
"id": "pZofEHhLGL7L"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"sequential_1\"\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": [
" conv2d (Conv2D) (None, 26, 26, 32) 320 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" max_pooling2d (MaxPooling2 (None, 12, 12, 64) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" D) \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dropout (Dropout) (None, 12, 12, 64) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" flatten (Flatten) (None, 9216) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dense (Dense) (None, 128) 1179776 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dropout_1 (Dropout) (None, 128) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dense_1 (Dense) (None, 1) 129 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================================================\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total params: 1198721 (4.57 MB)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Trainable params: 1198721 (4.57 MB)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Non-trainable params: 0 (0.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n"
]
}
],
"source": [
"def create_classical_model():\n",
" # A simple model based off LeNet from https://keras.io/examples/mnist_cnn/\n",
" model = tf.keras.Sequential()\n",
" model.add(tf.keras.layers.Conv2D(32, [3, 3], activation='relu', input_shape=(28,28,1)))\n",
" model.add(tf.keras.layers.Conv2D(64, [3, 3], activation='relu'))\n",
" model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2)))\n",
" model.add(tf.keras.layers.Dropout(0.25))\n",
" model.add(tf.keras.layers.Flatten())\n",
" model.add(tf.keras.layers.Dense(128, activation='relu'))\n",
" model.add(tf.keras.layers.Dropout(0.5))\n",
" model.add(tf.keras.layers.Dense(1))\n",
" return model\n",
"\n",
"\n",
"model = create_classical_model()\n",
"model.compile(loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n",
" optimizer=tf.keras.optimizers.Adam(),\n",
" metrics=['accuracy'])\n",
"\n",
"model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:42:21.096963Z",
"iopub.status.busy": "2024-05-18T11:42:21.096411Z",
"iopub.status.idle": "2024-05-18T11:42:24.962746Z",
"shell.execute_reply": "2024-05-18T11:42:24.961981Z"
},
"id": "CiAJl7sZojiU"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/95 [..............................] - ETA: 1:24 - loss: 0.6927 - accuracy: 0.4453"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 3/95 [..............................] - ETA: 2s - loss: 0.5626 - accuracy: 0.7057 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 5/95 [>.............................] - ETA: 2s - loss: 0.4318 - accuracy: 0.8031"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 7/95 [=>............................] - ETA: 2s - loss: 0.3346 - accuracy: 0.8538"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
" 9/95 [=>............................] - ETA: 2s - loss: 0.2671 - accuracy: 0.8854"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"11/95 [==>...........................] - ETA: 2s - loss: 0.2293 - 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\r",
"13/95 [===>..........................] - ETA: 2s - loss: 0.1987 - accuracy: 0.9165"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"15/95 [===>..........................] - ETA: 2s - loss: 0.1760 - accuracy: 0.9266"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"18/95 [====>.........................] - ETA: 2s - loss: 0.1494 - accuracy: 0.9379"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"20/95 [=====>........................] - ETA: 1s - loss: 0.1450 - accuracy: 0.9430"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"23/95 [======>.......................] - ETA: 1s - loss: 0.1313 - accuracy: 0.9480"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"26/95 [=======>......................] - ETA: 1s - loss: 0.1225 - accuracy: 0.9519"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"28/95 [=======>......................] - ETA: 1s - loss: 0.1158 - accuracy: 0.9551"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"31/95 [========>.....................] - ETA: 1s - loss: 0.1072 - accuracy: 0.9587"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"34/95 [=========>....................] - ETA: 1s - loss: 0.1019 - accuracy: 0.9619"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"37/95 [==========>...................] - ETA: 1s - loss: 0.0941 - accuracy: 0.9649"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"40/95 [===========>..................] - ETA: 1s - loss: 0.0875 - accuracy: 0.9674"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"42/95 [============>.................] - ETA: 1s - loss: 0.0853 - accuracy: 0.9682"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"45/95 [=============>................] - ETA: 1s - loss: 0.0800 - accuracy: 0.9700"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"47/95 [=============>................] - ETA: 1s - loss: 0.0769 - accuracy: 0.9712"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"50/95 [==============>...............] - ETA: 1s - loss: 0.0735 - accuracy: 0.9727"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"53/95 [===============>..............] - ETA: 1s - loss: 0.0709 - accuracy: 0.9738"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"56/95 [================>.............] - ETA: 0s - loss: 0.0683 - accuracy: 0.9749"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"59/95 [=================>............] - ETA: 0s - loss: 0.0653 - accuracy: 0.9759"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"62/95 [==================>...........] - ETA: 0s - loss: 0.0625 - accuracy: 0.9769"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"65/95 [===================>..........] - ETA: 0s - loss: 0.0603 - accuracy: 0.9778"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"67/95 [====================>.........] - ETA: 0s - loss: 0.0587 - accuracy: 0.9784"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"69/95 [====================>.........] - ETA: 0s - loss: 0.0572 - accuracy: 0.9789"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"72/95 [=====================>........] - ETA: 0s - loss: 0.0550 - accuracy: 0.9798"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"75/95 [======================>.......] - ETA: 0s - loss: 0.0536 - accuracy: 0.9805"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"78/95 [=======================>......] - ETA: 0s - loss: 0.0519 - accuracy: 0.9812"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"80/95 [========================>.....] - ETA: 0s - loss: 0.0508 - accuracy: 0.9815"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"83/95 [=========================>....] - ETA: 0s - loss: 0.0491 - accuracy: 0.9822"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"86/95 [==========================>...] - ETA: 0s - loss: 0.0475 - accuracy: 0.9827"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"89/95 [===========================>..] - ETA: 0s - loss: 0.0462 - accuracy: 0.9831"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"92/95 [============================>.] - ETA: 0s - loss: 0.0449 - accuracy: 0.9836"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"95/95 [==============================] - ETA: 0s - loss: 0.0440 - accuracy: 0.9839"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"95/95 [==============================] - 3s 27ms/step - loss: 0.0440 - accuracy: 0.9839 - val_loss: 0.0025 - val_accuracy: 0.9995\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/62 [..............................] - ETA: 1s - loss: 1.2715e-04 - accuracy: 1.0000"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"19/62 [========>.....................] - ETA: 0s - loss: 0.0049 - accuracy: 0.9984 "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"37/62 [================>.............] - ETA: 0s - loss: 0.0032 - accuracy: 0.9992"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"55/62 [=========================>....] - ETA: 0s - loss: 0.0022 - accuracy: 0.9994"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
"62/62 [==============================] - 0s 3ms/step - loss: 0.0025 - accuracy: 0.9995\n"
]
}
],
"source": [
"model.fit(x_train,\n",
" y_train,\n",
" batch_size=128,\n",
" epochs=1,\n",
" verbose=1,\n",
" validation_data=(x_test, y_test))\n",
"\n",
"cnn_results = model.evaluate(x_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "X5-5BVJaojiZ"
},
"source": [
"The above model has nearly 1.2M parameters. For a more fair comparison, try a 37-parameter model, on the subsampled images:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:42:24.966697Z",
"iopub.status.busy": "2024-05-18T11:42:24.966106Z",
"iopub.status.idle": "2024-05-18T11:42:25.014803Z",
"shell.execute_reply": "2024-05-18T11:42:25.014117Z"
},
"id": "70TOM6r-ojiZ",
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: \"sequential_2\"\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": [
" flatten_1 (Flatten) (None, 16) 0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dense_2 (Dense) (None, 2) 34 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" dense_3 (Dense) (None, 1) 3 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================================================\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total params: 37 (148.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Trainable params: 37 (148.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Non-trainable params: 0 (0.00 Byte)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n"
]
}
],
"source": [
"def create_fair_classical_model():\n",
" # A simple model based off LeNet from https://keras.io/examples/mnist_cnn/\n",
" model = tf.keras.Sequential()\n",
" model.add(tf.keras.layers.Flatten(input_shape=(4,4,1)))\n",
" model.add(tf.keras.layers.Dense(2, activation='relu'))\n",
" model.add(tf.keras.layers.Dense(1))\n",
" return model\n",
"\n",
"\n",
"model = create_fair_classical_model()\n",
"model.compile(loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n",
" optimizer=tf.keras.optimizers.Adam(),\n",
" metrics=['accuracy'])\n",
"\n",
"model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:42:25.022035Z",
"iopub.status.busy": "2024-05-18T11:42:25.021491Z",
"iopub.status.idle": "2024-05-18T11:42:28.305952Z",
"shell.execute_reply": "2024-05-18T11:42:28.305161Z"
},
"id": "lA_Fx-8gojid"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 1s - loss: 0.7028 - accuracy: 0.4897 - val_loss: 0.6585 - val_accuracy: 0.4949 - 782ms/epoch - 10ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 2/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.6561 - accuracy: 0.5311 - val_loss: 0.6067 - val_accuracy: 0.4990 - 124ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 3/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.5895 - accuracy: 0.5903 - val_loss: 0.5275 - val_accuracy: 0.6489 - 119ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 4/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.5095 - accuracy: 0.7001 - val_loss: 0.4511 - val_accuracy: 0.7571 - 121ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 5/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.4385 - accuracy: 0.7760 - val_loss: 0.3908 - val_accuracy: 0.7749 - 122ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 6/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.3836 - accuracy: 0.8060 - val_loss: 0.3461 - val_accuracy: 0.8272 - 120ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 7/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.3428 - accuracy: 0.8214 - val_loss: 0.3130 - val_accuracy: 0.8430 - 119ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 8/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.3128 - accuracy: 0.8590 - val_loss: 0.2893 - val_accuracy: 0.8674 - 119ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 9/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2907 - accuracy: 0.8692 - val_loss: 0.2719 - val_accuracy: 0.8684 - 117ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 10/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2745 - accuracy: 0.8716 - val_loss: 0.2590 - val_accuracy: 0.8679 - 117ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 11/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2624 - accuracy: 0.8721 - val_loss: 0.2494 - val_accuracy: 0.8679 - 122ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 12/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2533 - accuracy: 0.8734 - val_loss: 0.2421 - val_accuracy: 0.8694 - 122ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 13/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2462 - accuracy: 0.8753 - val_loss: 0.2367 - val_accuracy: 0.8694 - 122ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 14/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2408 - accuracy: 0.8782 - val_loss: 0.2323 - val_accuracy: 0.8709 - 120ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 15/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2366 - accuracy: 0.8793 - val_loss: 0.2292 - val_accuracy: 0.8709 - 116ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 16/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2334 - accuracy: 0.8794 - val_loss: 0.2270 - val_accuracy: 0.8709 - 117ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 17/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2309 - accuracy: 0.8790 - val_loss: 0.2249 - val_accuracy: 0.8709 - 117ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 18/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2288 - accuracy: 0.8853 - val_loss: 0.2233 - val_accuracy: 0.9177 - 121ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 19/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2271 - accuracy: 0.8934 - val_loss: 0.2225 - val_accuracy: 0.8664 - 121ms/epoch - 1ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 20/20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"81/81 - 0s - loss: 0.2257 - accuracy: 0.8996 - val_loss: 0.2213 - val_accuracy: 0.9141 - 122ms/epoch - 2ms/step\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" 1/62 [..............................] - ETA: 1s - loss: 0.4102 - 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\r",
"52/62 [========================>.....] - ETA: 0s - loss: 0.2276 - 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\r",
"62/62 [==============================] - 0s 1ms/step - loss: 0.2213 - accuracy: 0.9141\n"
]
}
],
"source": [
"model.fit(x_train_bin,\n",
" y_train_nocon,\n",
" batch_size=128,\n",
" epochs=20,\n",
" verbose=2,\n",
" validation_data=(x_test_bin, y_test))\n",
"\n",
"fair_nn_results = model.evaluate(x_test_bin, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "RH3mam7EGL7N"
},
"source": [
"## 4. Comparison\n",
"\n",
"Higher resolution input and a more powerful model make this problem easy for the CNN. While a classical model of similar power (~32 parameters) trains to a similar accuracy in a fraction of the time. One way or the other, the classical neural network easily outperforms the quantum neural network. For classical data, it is difficult to beat a classical neural network."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"colab": {},
"colab_type": "code",
"execution": {
"iopub.execute_input": "2024-05-18T11:42:28.309916Z",
"iopub.status.busy": "2024-05-18T11:42:28.309229Z",
"iopub.status.idle": "2024-05-18T11:42:28.438101Z",
"shell.execute_reply": "2024-05-18T11:42:28.437381Z"
},
"id": "NOMeN7pMGL7P"
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"qnn_accuracy = qnn_results[1]\n",
"cnn_accuracy = cnn_results[1]\n",
"fair_nn_accuracy = fair_nn_results[1]\n",
"\n",
"sns.barplot(x=[\"Quantum\", \"Classical, full\", \"Classical, fair\"],\n",
" y=[qnn_accuracy, cnn_accuracy, fair_nn_accuracy])"
]
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "mnist.ipynb",
"private_outputs": true,
"provenance": [],
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"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": "3.9.19"
},
"vscode": {
"interpreter": {
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
"nbformat": 4,
"nbformat_minor": 0
}
![](\"https://www.tensorflow.org/images/tf_logo_32px.png\"){kind=logo}
View on TensorFlow.org\n",
" ![](\"https://www.tensorflow.org/images/colab_logo_32px.png\"){kind=logo}
Run in Google Colab\n",
" ![](\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\")
View source on GitHub\n",
" ![](\"https://www.tensorflow.org/images/download_logo_32px.png\"){kind=logo}
Download notebook\n",
"