Skip to content

Instantly share code, notes, and snippets.

@manashmandal

manashmandal/TextualSimilarity.ipynb

Created June 7, 2018 18:18
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save manashmandal/ebbdf016ace11c1ce15991a6c000ebe8 to your computer and use it in GitHub Desktop.
Save manashmandal/ebbdf016ace11c1ce15991a6c000ebe8 to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
TextualSimilarity.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"from keras.models import *\n",
"from keras.layers import *\n",
"from tqdm import tqdm\n",
"from gensim.corpora import Dictionary\n",
"import pickle\n",
"from keras.preprocessing.sequence import pad_sequences\n",
"from keras.preprocessing.text import text_to_word_sequence\n",
"from sklearn.utils import shuffle\n",
"from keras.utils import to_categorical\n",
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"trx1 = np.load('train_x1.npy')\n",
"trx2 = np.load('train_x2.npy')\n",
"labels = np.load('labels.npy')\n",
"valid = np.load('valid_indices.npy')\n",
"\n",
"train_x1 = trx1[valid]\n",
"train_x2 = trx2[valid]\n",
"y = labels[valid]\n",
"y = to_categorical(y)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"vocabulary = Dictionary.load('vocabulary')"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"NUM_TOKENS = len(vocabulary)\n",
"EMBEDDING_DIM = 300\n",
"MAX_SEQUENCE_LENGTH = 12"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"train_x1 = pad_sequences(train_x1, MAX_SEQUENCE_LENGTH, padding='post')\n",
"train_x2 = pad_sequences(train_x2, MAX_SEQUENCE_LENGTH, padding='post')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"embedding_matrix = np.load('embedding_matrix_w2v.npy')"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"embedding_layer = Embedding(len(vocabulary) + 1,\n",
" output_dim=EMBEDDING_DIM,\n",
" weights=[embedding_matrix],\n",
" input_length=MAX_SEQUENCE_LENGTH,\n",
" trainable=False)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"left_input = Input(shape=(MAX_SEQUENCE_LENGTH,))\n",
"right_input = Input(shape=(MAX_SEQUENCE_LENGTH,))\n",
"\n",
"left_embed = embedding_layer(left_input)\n",
"right_embed = embedding_layer(right_input)\n",
"\n",
"\n",
"RNN1 = Bidirectional(GRU(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=True))\n",
"RNN2 = Bidirectional(GRU(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=True))\n",
"\n",
"# left_embed = RNN(left_embed)\n",
"# right_embed = RNN(right_embed)\n",
"\n",
"# Shared dense layer\n",
"mlp_transform_1_left = Dense(150, activation='relu', name='mlp_transform_1_left', kernel_initializer='glorot_uniform')\n",
"mlp_transform_2_left = Dense(150, activation='relu', name='mlp_transform_2_left', kernel_initializer='glorot_uniform')\n",
"\n",
"mlp_transform_1_right = Dense(150, activation='relu', name='mlp_transform_1_right', kernel_initializer='glorot_uniform')\n",
"mlp_transform_2_right = Dense(150, activation='relu', name='mlp_transform_2_right', kernel_initializer='glorot_uniform')\n",
"\n",
"\n",
"# Transformed\n",
"left_transformed = mlp_transform_1_left(left_embed)\n",
"left_transformed = mlp_transform_2_left(left_transformed)\n",
"\n",
"right_transformed = mlp_transform_1_right(right_embed)\n",
"right_transformed = mlp_transform_2_right(right_transformed)\n",
"\n",
"# merged = concatenate([left_transformed, right_transformed], axis=1)\n",
"\n",
"\n",
"# out1 = Lambda(lambda x: x[:, :MAX_SEQUENCE_LENGTH, :])(merged)\n",
"# out2 = Lambda(lambda x: x[:, MAX_SEQUENCE_LENGTH:, :])(merged)\n",
"\n",
"out1 = left_transformed\n",
"out2 = right_transformed\n",
"\n",
"alpha_a = Activation('softmax')(Dot(axes=2)([out1, out2]))\n",
"alpha_b = Activation('softmax')(Dot(axes=2)([out2, out1]))\n",
"\n",
"permuted_alpha_a = Permute((2, 1), input_shape=(MAX_SEQUENCE_LENGTH, MAX_SEQUENCE_LENGTH))(alpha_a)\n",
"permuted_alpha_b = Permute((2, 1), input_shape=(MAX_SEQUENCE_LENGTH, MAX_SEQUENCE_LENGTH))(alpha_b)\n",
"\n",
"wa_hat = Dot(axes=1)([permuted_alpha_a, right_embed])\n",
"wb_hat = Dot(axes=1)([permuted_alpha_b, left_embed])\n",
"\n",
"weighted_multi_words_1_left = Dense(150, activation='relu', name='multi_words1')\n",
"weighted_multi_words_2_left = Dense(150, activation='relu', name='multi_words2')\n",
"\n",
"weighted_multi_words_1_right = Dense(150, activation='relu', name='multi_words1r')\n",
"weighted_multi_words_2_right = Dense(150, activation='relu', name='multi_words2r')\n",
"\n",
"va = Concatenate()([left_embed, wa_hat])\n",
"vb = Concatenate()([right_embed, wb_hat])\n",
"\n",
"va = weighted_multi_words_1_left(va)\n",
"va = weighted_multi_words_2_left(va)\n",
"\n",
"vb = weighted_multi_words_1_right(vb)\n",
"vb = weighted_multi_words_2_right(vb)\n",
"\n",
"\n",
"# sum_va = RNN1(va)\n",
"# sum_vb = RNN2(vb)\n",
"\n",
"sum_va = Lambda(lambda x: K.sum(x, axis=1))(va)\n",
"sum_vb = Lambda(lambda x: K.sum(x, axis=1))(vb)\n",
"\n",
"v = Concatenate()([sum_va, sum_vb])\n",
"# v = Flatten()(v)\n",
"\n",
"mlp_decide = Dense(200, activation='relu', kernel_initializer='glorot_uniform')(v)\n",
"mlp_decide = Dense(200, activation='relu', kernel_initializer='glorot_uniform')(mlp_decide)\n",
"mlp_decide = Dense(3, activation='softmax')(mlp_decide)\n",
"\n",
"model = Model(inputs=[left_input, right_input], outputs=[mlp_decide])\n",
"model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"__________________________________________________________________________________________________\n",
"Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
"input_9 (InputLayer) (None, 12) 0 \n",
"__________________________________________________________________________________________________\n",
"input_10 (InputLayer) (None, 12) 0 \n",
"__________________________________________________________________________________________________\n",
"embedding_4 (Embedding) (None, 12, 300) 10471500 input_9[0][0] \n",
" input_10[0][0] \n",
"__________________________________________________________________________________________________\n",
"mlp_transform_1_left (Dense) (None, 12, 150) 45150 embedding_4[0][0] \n",
"__________________________________________________________________________________________________\n",
"mlp_transform_1_right (Dense) (None, 12, 150) 45150 embedding_4[1][0] \n",
"__________________________________________________________________________________________________\n",
"mlp_transform_2_left (Dense) (None, 12, 150) 22650 mlp_transform_1_left[0][0] \n",
"__________________________________________________________________________________________________\n",
"mlp_transform_2_right (Dense) (None, 12, 150) 22650 mlp_transform_1_right[0][0] \n",
"__________________________________________________________________________________________________\n",
"dot_17 (Dot) (None, 12, 12) 0 mlp_transform_2_left[0][0] \n",
" mlp_transform_2_right[0][0] \n",
"__________________________________________________________________________________________________\n",
"dot_18 (Dot) (None, 12, 12) 0 mlp_transform_2_right[0][0] \n",
" mlp_transform_2_left[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_9 (Activation) (None, 12, 12) 0 dot_17[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_10 (Activation) (None, 12, 12) 0 dot_18[0][0] \n",
"__________________________________________________________________________________________________\n",
"permute_9 (Permute) (None, 12, 12) 0 activation_9[0][0] \n",
"__________________________________________________________________________________________________\n",
"permute_10 (Permute) (None, 12, 12) 0 activation_10[0][0] \n",
"__________________________________________________________________________________________________\n",
"dot_19 (Dot) (None, 12, 300) 0 permute_9[0][0] \n",
" embedding_4[1][0] \n",
"__________________________________________________________________________________________________\n",
"dot_20 (Dot) (None, 12, 300) 0 permute_10[0][0] \n",
" embedding_4[0][0] \n",
"__________________________________________________________________________________________________\n",
"concatenate_13 (Concatenate) (None, 12, 600) 0 embedding_4[0][0] \n",
" dot_19[0][0] \n",
"__________________________________________________________________________________________________\n",
"concatenate_14 (Concatenate) (None, 12, 600) 0 embedding_4[1][0] \n",
" dot_20[0][0] \n",
"__________________________________________________________________________________________________\n",
"multi_words1 (Dense) (None, 12, 150) 90150 concatenate_13[0][0] \n",
"__________________________________________________________________________________________________\n",
"multi_words1r (Dense) (None, 12, 150) 90150 concatenate_14[0][0] \n",
"__________________________________________________________________________________________________\n",
"multi_words2 (Dense) (None, 12, 150) 22650 multi_words1[0][0] \n",
"__________________________________________________________________________________________________\n",
"multi_words2r (Dense) (None, 12, 150) 22650 multi_words1r[0][0] \n",
"__________________________________________________________________________________________________\n",
"lambda_5 (Lambda) (None, 150) 0 multi_words2[0][0] \n",
"__________________________________________________________________________________________________\n",
"lambda_6 (Lambda) (None, 150) 0 multi_words2r[0][0] \n",
"__________________________________________________________________________________________________\n",
"concatenate_15 (Concatenate) (None, 300) 0 lambda_5[0][0] \n",
" lambda_6[0][0] \n",
"__________________________________________________________________________________________________\n",
"dense_13 (Dense) (None, 200) 60200 concatenate_15[0][0] \n",
"__________________________________________________________________________________________________\n",
"dense_14 (Dense) (None, 200) 40200 dense_13[0][0] \n",
"__________________________________________________________________________________________________\n",
"dense_15 (Dense) (None, 3) 603 dense_14[0][0] \n",
"==================================================================================================\n",
"Total params: 10,933,703\n",
"Trainable params: 462,203\n",
"Non-trainable params: 10,471,500\n",
"__________________________________________________________________________________________________\n"
]
}
],
"source": [
"model.summary()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train on 494430 samples, validate on 54937 samples\n",
"Epoch 1/5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 99100/494430 [=====>........................] - ETA: 3:57 - loss: 0.5698 - acc: 0.760 - ETA: 1:28 - loss: 0.6291 - acc: 0.736 - ETA: 1:13 - loss: 0.6142 - acc: 0.748 - ETA: 1:10 - loss: 0.6041 - acc: 0.752 - ETA: 1:08 - loss: 0.5945 - acc: 0.756 - ETA: 1:07 - loss: 0.5918 - acc: 0.755 - ETA: 1:05 - loss: 0.5859 - acc: 0.758 - ETA: 1:04 - loss: 0.5826 - acc: 0.760 - ETA: 1:03 - loss: 0.5889 - acc: 0.756 - ETA: 1:02 - loss: 0.5886 - acc: 0.756 - ETA: 1:01 - loss: 0.5849 - acc: 0.759 - ETA: 1:01 - loss: 0.5836 - acc: 0.759 - ETA: 1:01 - loss: 0.5811 - acc: 0.761 - ETA: 1:00 - loss: 0.5828 - acc: 0.760 - ETA: 1:00 - loss: 0.5828 - acc: 0.761 - ETA: 59s - loss: 0.5832 - acc: 0.760 - ETA: 59s - loss: 0.5855 - acc: 0.75 - ETA: 59s - loss: 0.5880 - acc: 0.75 - ETA: 59s - loss: 0.5866 - acc: 0.75 - ETA: 59s - loss: 0.5854 - acc: 0.75 - ETA: 59s - loss: 0.5849 - acc: 0.75 - ETA: 59s - loss: 0.5821 - acc: 0.75 - ETA: 59s - loss: 0.5802 - acc: 0.76 - ETA: 58s - loss: 0.5792 - acc: 0.76 - ETA: 58s - loss: 0.5786 - acc: 0.76 - ETA: 58s - loss: 0.5798 - acc: 0.76 - ETA: 58s - loss: 0.5812 - acc: 0.76 - ETA: 58s - loss: 0.5834 - acc: 0.76 - ETA: 58s - loss: 0.5849 - acc: 0.75 - ETA: 58s - loss: 0.5852 - acc: 0.75 - ETA: 58s - loss: 0.5865 - acc: 0.75 - ETA: 58s - loss: 0.5875 - acc: 0.75 - ETA: 57s - loss: 0.5880 - acc: 0.75 - ETA: 57s - loss: 0.5876 - acc: 0.75 - ETA: 57s - loss: 0.5859 - acc: 0.75 - ETA: 57s - loss: 0.5852 - acc: 0.75 - ETA: 57s - loss: 0.5867 - acc: 0.75 - ETA: 57s - loss: 0.5881 - acc: 0.75 - ETA: 57s - loss: 0.5881 - acc: 0.75 - ETA: 57s - loss: 0.5887 - acc: 0.75 - ETA: 57s - loss: 0.5885 - acc: 0.75 - ETA: 57s - loss: 0.5890 - acc: 0.75 - ETA: 57s - loss: 0.5902 - acc: 0.75 - ETA: 57s - loss: 0.5896 - acc: 0.75 - ETA: 57s - loss: 0.5900 - acc: 0.75 - ETA: 56s - loss: 0.5894 - acc: 0.75 - ETA: 56s - loss: 0.5897 - acc: 0.75 - ETA: 56s - loss: 0.5896 - acc: 0.75 - ETA: 56s - loss: 0.5899 - acc: 0.75 - ETA: 56s - loss: 0.5899 - acc: 0.75 - ETA: 56s - loss: 0.5897 - acc: 0.75 - ETA: 56s - loss: 0.5902 - acc: 0.75 - ETA: 56s - loss: 0.5897 - acc: 0.75 - ETA: 56s - loss: 0.5898 - acc: 0.75 - ETA: 56s - loss: 0.5896 - acc: 0.75 - ETA: 56s - loss: 0.5893 - acc: 0.75 - ETA: 56s - loss: 0.5897 - acc: 0.75 - ETA: 56s - loss: 0.5887 - acc: 0.75 - ETA: 56s - loss: 0.5889 - acc: 0.75 - ETA: 56s - loss: 0.5889 - acc: 0.75 - ETA: 56s - loss: 0.5880 - acc: 0.75 - ETA: 56s - loss: 0.5876 - acc: 0.75 - ETA: 56s - loss: 0.5874 - acc: 0.75 - ETA: 56s - loss: 0.5873 - acc: 0.75 - ETA: 56s - loss: 0.5871 - acc: 0.75 - ETA: 56s - loss: 0.5865 - acc: 0.75 - ETA: 56s - loss: 0.5858 - acc: 0.75 - ETA: 56s - loss: 0.5850 - acc: 0.75 - ETA: 56s - loss: 0.5856 - acc: 0.75 - ETA: 56s - loss: 0.5857 - acc: 0.75 - ETA: 56s - loss: 0.5857 - acc: 0.75 - ETA: 56s - loss: 0.5857 - acc: 0.75 - ETA: 56s - loss: 0.5858 - acc: 0.75 - ETA: 56s - loss: 0.5857 - acc: 0.75 - ETA: 55s - loss: 0.5862 - acc: 0.75 - ETA: 55s - loss: 0.5871 - acc: 0.75 - ETA: 55s - loss: 0.5874 - acc: 0.75 - ETA: 55s - loss: 0.5877 - acc: 0.75 - ETA: 55s - loss: 0.5878 - acc: 0.75 - ETA: 55s - loss: 0.5876 - acc: 0.75 - ETA: 55s - loss: 0.5876 - acc: 0.75 - ETA: 55s - loss: 0.5883 - acc: 0.75 - ETA: 55s - loss: 0.5890 - acc: 0.75 - ETA: 55s - loss: 0.5888 - acc: 0.75 - ETA: 55s - loss: 0.5884 - acc: 0.75 - ETA: 55s - loss: 0.5882 - acc: 0.75 - ETA: 55s - loss: 0.5884 - acc: 0.75 - ETA: 55s - loss: 0.5886 - acc: 0.75 - ETA: 55s - loss: 0.5896 - acc: 0.75 - ETA: 55s - loss: 0.5895 - acc: 0.75 - ETA: 55s - loss: 0.5892 - acc: 0.75 - ETA: 55s - loss: 0.5890 - acc: 0.75 - ETA: 55s - loss: 0.5892 - acc: 0.75 - ETA: 54s - loss: 0.5892 - acc: 0.75 - ETA: 54s - loss: 0.5889 - acc: 0.75 - ETA: 54s - loss: 0.5890 - acc: 0.75 - ETA: 54s - loss: 0.5892 - acc: 0.75 - ETA: 54s - loss: 0.5894 - acc: 0.75 - ETA: 54s - loss: 0.5894 - acc: 0.75 - ETA: 54s - loss: 0.5896 - acc: 0.75 - ETA: 54s - loss: 0.5900 - acc: 0.75 - ETA: 54s - loss: 0.5903 - acc: 0.75 - ETA: 54s - loss: 0.5907 - acc: 0.75 - ETA: 54s - loss: 0.5906 - acc: 0.75 - ETA: 54s - loss: 0.5908 - acc: 0.75 - ETA: 54s - loss: 0.5905 - acc: 0.75 - ETA: 54s - loss: 0.5905 - acc: 0.75 - ETA: 54s - loss: 0.5905 - acc: 0.75 - ETA: 54s - loss: 0.5909 - acc: 0.75 - ETA: 54s - loss: 0.5908 - acc: 0.75 - ETA: 54s - loss: 0.5906 - acc: 0.75 - ETA: 54s - loss: 0.5906 - acc: 0.75 - ETA: 54s - loss: 0.5909 - acc: 0.75 - ETA: 54s - loss: 0.5917 - acc: 0.75 - ETA: 54s - loss: 0.5916 - acc: 0.75 - ETA: 53s - loss: 0.5921 - acc: 0.75 - ETA: 53s - loss: 0.5927 - acc: 0.75 - ETA: 53s - loss: 0.5928 - acc: 0.75 - ETA: 53s - loss: 0.5935 - acc: 0.75 - ETA: 53s - loss: 0.5930 - acc: 0.75 - ETA: 53s - loss: 0.5935 - acc: 0.75 - ETA: 53s - loss: 0.5932 - acc: 0.75 - ETA: 53s - loss: 0.5934 - acc: 0.75 - ETA: 53s - loss: 0.5935 - acc: 0.75 - ETA: 53s - loss: 0.5934 - acc: 0.75 - ETA: 53s - loss: 0.5938 - acc: 0.75 - ETA: 53s - loss: 0.5943 - acc: 0.75 - ETA: 53s - loss: 0.5944 - acc: 0.75 - ETA: 52s - loss: 0.5943 - acc: 0.75 - ETA: 52s - loss: 0.5940 - acc: 0.75 - ETA: 52s - loss: 0.5942 - acc: 0.75 - ETA: 52s - loss: 0.5946 - acc: 0.75 - ETA: 52s - loss: 0.5950 - acc: 0.75 - ETA: 52s - loss: 0.5951 - acc: 0.75 - ETA: 52s - loss: 0.5950 - acc: 0.75 - ETA: 52s - loss: 0.5952 - acc: 0.75 - ETA: 52s - loss: 0.5955 - acc: 0.75 - ETA: 52s - loss: 0.5952 - acc: 0.75 - ETA: 52s - loss: 0.5949 - acc: 0.75 - ETA: 52s - loss: 0.5951 - acc: 0.75 - ETA: 52s - loss: 0.5956 - acc: 0.75 - ETA: 52s - loss: 0.5952 - acc: 0.75 - ETA: 51s - loss: 0.5953 - acc: 0.75 - ETA: 51s - loss: 0.5952 - acc: 0.75 - ETA: 51s - loss: 0.5949 - acc: 0.75 - ETA: 51s - loss: 0.5946 - acc: 0.75 - ETA: 51s - loss: 0.5949 - acc: 0.75 - ETA: 51s - loss: 0.5949 - acc: 0.75 - ETA: 51s - loss: 0.5948 - acc: 0.75 - ETA: 51s - loss: 0.5950 - acc: 0.75 - ETA: 51s - loss: 0.5949 - acc: 0.75 - ETA: 51s - loss: 0.5954 - acc: 0.75 - ETA: 51s - loss: 0.5956 - acc: 0.75 - ETA: 51s - loss: 0.5957 - acc: 0.75 - ETA: 51s - loss: 0.5959 - acc: 0.75 - ETA: 51s - loss: 0.5958 - acc: 0.75 - ETA: 51s - loss: 0.5956 - acc: 0.75 - ETA: 50s - loss: 0.5956 - acc: 0.75 - ETA: 50s - loss: 0.5958 - acc: 0.75 - ETA: 50s - loss: 0.5953 - acc: 0.75 - ETA: 50s - loss: 0.5950 - acc: 0.75 - ETA: 50s - loss: 0.5951 - acc: 0.75 - ETA: 50s - loss: 0.5951 - acc: 0.75 - ETA: 50s - loss: 0.5952 - acc: 0.75 - ETA: 50s - loss: 0.5952 - acc: 0.75 - ETA: 50s - loss: 0.5952 - acc: 0.75 - ETA: 50s - loss: 0.5953 - acc: 0.75 - ETA: 50s - loss: 0.5956 - acc: 0.75 - ETA: 50s - loss: 0.5955 - acc: 0.75 - ETA: 50s - loss: 0.5957 - acc: 0.75 - ETA: 50s - loss: 0.5958 - acc: 0.75 - ETA: 49s - loss: 0.5956 - acc: 0.75 - ETA: 49s - loss: 0.5956 - acc: 0.75 - ETA: 49s - loss: 0.5957 - acc: 0.75 - ETA: 49s - loss: 0.5957 - acc: 0.75 - ETA: 49s - loss: 0.5958 - acc: 0.75 - ETA: 49s - loss: 0.5957 - acc: 0.75 - ETA: 49s - loss: 0.5960 - acc: 0.75 - ETA: 49s - loss: 0.5964 - acc: 0.75 - ETA: 49s - loss: 0.5961 - acc: 0.75 - ETA: 49s - loss: 0.5963 - acc: 0.75 - ETA: 49s - loss: 0.5967 - acc: 0.75 - ETA: 49s - loss: 0.5966 - acc: 0.75 - ETA: 49s - loss: 0.5963 - acc: 0.75 - ETA: 49s - loss: 0.5965 - acc: 0.75 - ETA: 49s - loss: 0.5966 - acc: 0.75 - ETA: 48s - loss: 0.5967 - acc: 0.75 - ETA: 48s - loss: 0.5967 - acc: 0.75 - ETA: 48s - loss: 0.5966 - acc: 0.75 - ETA: 48s - loss: 0.5964 - acc: 0.75 - ETA: 48s - loss: 0.5965 - acc: 0.75 - ETA: 48s - loss: 0.5968 - acc: 0.75 - ETA: 48s - loss: 0.5967 - acc: 0.75 - ETA: 48s - loss: 0.5968 - acc: 0.75 - ETA: 48s - loss: 0.5971 - acc: 0.75 - ETA: 48s - loss: 0.5970 - acc: 0.75 - ETA: 48s - loss: 0.5969 - acc: 0.75 - ETA: 48s - loss: 0.5968 - acc: 0.75 - ETA: 48s - loss: 0.5970 - acc: 0.75 - ETA: 48s - loss: 0.5972 - acc: 0.75 - ETA: 48s - loss: 0.5972 - acc: 0.75 - ETA: 48s - loss: 0.5970 - acc: 0.75 - ETA: 48s - loss: 0.5970 - acc: 0.75 - ETA: 47s - loss: 0.5971 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5975 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5972 - acc: 0.75 - ETA: 47s - loss: 0.5973 - acc: 0.75 - ETA: 47s - loss: 0.5973 - acc: 0.75200900/494430 [===========>..................] - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5974 - acc: 0.75 - ETA: 47s - loss: 0.5977 - acc: 0.75 - ETA: 47s - loss: 0.5977 - acc: 0.75 - ETA: 47s - loss: 0.5979 - acc: 0.75 - ETA: 46s - loss: 0.5980 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5980 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5983 - acc: 0.75 - ETA: 46s - loss: 0.5983 - acc: 0.75 - ETA: 46s - loss: 0.5983 - acc: 0.75 - ETA: 46s - loss: 0.5983 - acc: 0.75 - ETA: 46s - loss: 0.5980 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 46s - loss: 0.5979 - acc: 0.75 - ETA: 46s - loss: 0.5980 - acc: 0.75 - ETA: 46s - loss: 0.5981 - acc: 0.75 - ETA: 46s - loss: 0.5982 - acc: 0.75 - ETA: 45s - loss: 0.5981 - acc: 0.75 - ETA: 45s - loss: 0.5980 - acc: 0.75 - ETA: 45s - loss: 0.5980 - acc: 0.75 - ETA: 45s - loss: 0.5979 - acc: 0.75 - ETA: 45s - loss: 0.5981 - acc: 0.75 - ETA: 45s - loss: 0.5981 - acc: 0.75 - ETA: 45s - loss: 0.5982 - acc: 0.75 - ETA: 45s - loss: 0.5983 - acc: 0.75 - ETA: 45s - loss: 0.5983 - acc: 0.75 - ETA: 45s - loss: 0.5984 - acc: 0.75 - ETA: 45s - loss: 0.5985 - acc: 0.75 - ETA: 45s - loss: 0.5986 - acc: 0.75 - ETA: 45s - loss: 0.5988 - acc: 0.75 - ETA: 45s - loss: 0.5987 - acc: 0.75 - ETA: 45s - loss: 0.5988 - acc: 0.75 - ETA: 45s - loss: 0.5991 - acc: 0.75 - ETA: 44s - loss: 0.5992 - acc: 0.75 - ETA: 44s - loss: 0.5992 - acc: 0.75 - ETA: 44s - loss: 0.5990 - acc: 0.75 - ETA: 44s - loss: 0.5992 - acc: 0.75 - ETA: 44s - loss: 0.5991 - acc: 0.75 - ETA: 44s - loss: 0.5990 - acc: 0.75 - ETA: 44s - loss: 0.5991 - acc: 0.75 - ETA: 44s - loss: 0.5992 - acc: 0.75 - ETA: 44s - loss: 0.5990 - acc: 0.75 - ETA: 44s - loss: 0.5990 - acc: 0.75 - ETA: 44s - loss: 0.5989 - acc: 0.75 - ETA: 44s - loss: 0.5990 - acc: 0.75 - ETA: 44s - loss: 0.5991 - acc: 0.75 - ETA: 44s - loss: 0.5991 - acc: 0.75 - ETA: 44s - loss: 0.5993 - acc: 0.75 - ETA: 44s - loss: 0.5994 - acc: 0.75 - ETA: 44s - loss: 0.5995 - acc: 0.75 - ETA: 44s - loss: 0.5997 - acc: 0.75 - ETA: 43s - loss: 0.5999 - acc: 0.75 - ETA: 43s - loss: 0.6000 - acc: 0.75 - ETA: 43s - loss: 0.6000 - acc: 0.75 - ETA: 43s - loss: 0.6000 - acc: 0.75 - ETA: 43s - loss: 0.6000 - acc: 0.75 - ETA: 43s - loss: 0.5999 - acc: 0.75 - ETA: 43s - loss: 0.5999 - acc: 0.75 - ETA: 43s - loss: 0.6001 - acc: 0.75 - ETA: 43s - loss: 0.6000 - acc: 0.75 - ETA: 43s - loss: 0.5997 - acc: 0.75 - ETA: 43s - loss: 0.5997 - acc: 0.75 - ETA: 43s - loss: 0.5996 - acc: 0.75 - ETA: 43s - loss: 0.5995 - acc: 0.75 - ETA: 43s - loss: 0.5996 - acc: 0.75 - ETA: 43s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5998 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.6000 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5999 - acc: 0.75 - ETA: 42s - loss: 0.5998 - acc: 0.75 - ETA: 42s - loss: 0.6000 - acc: 0.75 - ETA: 42s - loss: 0.6002 - acc: 0.75 - ETA: 42s - loss: 0.6003 - acc: 0.75 - ETA: 42s - loss: 0.6002 - acc: 0.75 - ETA: 42s - loss: 0.6003 - acc: 0.75 - ETA: 42s - loss: 0.6005 - acc: 0.74 - ETA: 42s - loss: 0.6004 - acc: 0.75 - ETA: 42s - loss: 0.6003 - acc: 0.75 - ETA: 41s - loss: 0.6002 - acc: 0.75 - ETA: 41s - loss: 0.6002 - acc: 0.75 - ETA: 41s - loss: 0.6003 - acc: 0.75 - ETA: 41s - loss: 0.6001 - acc: 0.75 - ETA: 41s - loss: 0.6001 - acc: 0.75 - ETA: 41s - loss: 0.6000 - acc: 0.75 - ETA: 41s - loss: 0.5999 - acc: 0.75 - ETA: 41s - loss: 0.5999 - acc: 0.75 - ETA: 41s - loss: 0.5998 - acc: 0.75 - ETA: 41s - loss: 0.5999 - acc: 0.75 - ETA: 41s - loss: 0.6000 - acc: 0.75 - ETA: 41s - loss: 0.6000 - acc: 0.75 - ETA: 41s - loss: 0.6000 - acc: 0.75 - ETA: 41s - loss: 0.6002 - acc: 0.75 - ETA: 41s - loss: 0.6003 - acc: 0.75 - ETA: 41s - loss: 0.6003 - acc: 0.75 - ETA: 41s - loss: 0.6003 - acc: 0.75 - ETA: 41s - loss: 0.6002 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6005 - acc: 0.75 - ETA: 40s - loss: 0.6004 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6007 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6006 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6003 - acc: 0.75 - ETA: 40s - loss: 0.6004 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6004 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6008 - acc: 0.74 - ETA: 39s - loss: 0.6007 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6007 - acc: 0.74 - ETA: 39s - loss: 0.6006 - acc: 0.75 - ETA: 39s - loss: 0.6007 - acc: 0.74 - ETA: 39s - loss: 0.6007 - acc: 0.74 - ETA: 39s - loss: 0.6008 - acc: 0.74 - ETA: 39s - loss: 0.6008 - acc: 0.74 - ETA: 39s - loss: 0.6009 - acc: 0.74 - ETA: 38s - loss: 0.6008 - acc: 0.74 - ETA: 38s - loss: 0.6009 - acc: 0.74 - ETA: 38s - loss: 0.6008 - acc: 0.74 - ETA: 38s - loss: 0.6009 - acc: 0.74 - ETA: 38s - loss: 0.6008 - acc: 0.74 - ETA: 38s - loss: 0.6007 - acc: 0.74 - ETA: 38s - loss: 0.6007 - acc: 0.74 - ETA: 38s - loss: 0.6005 - acc: 0.75 - ETA: 38s - loss: 0.6004 - acc: 0.75 - ETA: 38s - loss: 0.6006 - acc: 0.75 - ETA: 38s - loss: 0.6007 - acc: 0.74 - ETA: 38s - loss: 0.6006 - acc: 0.75 - ETA: 38s - loss: 0.6008 - acc: 0.75 - ETA: 38s - loss: 0.6008 - acc: 0.74 - ETA: 38s - loss: 0.6008 - acc: 0.75 - ETA: 38s - loss: 0.6007 - acc: 0.75 - ETA: 38s - loss: 0.6007 - acc: 0.75 - ETA: 38s - loss: 0.6007 - acc: 0.75 - ETA: 37s - loss: 0.6007 - acc: 0.75 - ETA: 37s - loss: 0.6007 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6005 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6005 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6005 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6005 - acc: 0.75 - ETA: 37s - loss: 0.6006 - acc: 0.75 - ETA: 37s - loss: 0.6007 - acc: 0.75 - ETA: 37s - loss: 0.6008 - acc: 0.75 - ETA: 37s - loss: 0.6009 - acc: 0.75 - ETA: 37s - loss: 0.6009 - acc: 0.75 - ETA: 37s - loss: 0.6009 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6009 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6008 - acc: 0.75 - ETA: 36s - loss: 0.6007 - acc: 0.75 - ETA: 36s - loss: 0.6007 - acc: 0.75 - ETA: 36s - loss: 0.6007 - acc: 0.75 - ETA: 36s - loss: 0.6006 - acc: 0.75 - ETA: 36s - loss: 0.6005 - acc: 0.75 - ETA: 36s - loss: 0.6004 - acc: 0.75 - ETA: 36s - loss: 0.6005 - acc: 0.75 - ETA: 36s - loss: 0.6004 - acc: 0.75 - ETA: 36s - loss: 0.6005 - acc: 0.75 - ETA: 35s - loss: 0.6004 - acc: 0.75 - ETA: 35s - loss: 0.6003 - acc: 0.75 - ETA: 35s - loss: 0.6004 - acc: 0.75 - ETA: 35s - loss: 0.6005 - acc: 0.75 - ETA: 35s - loss: 0.6006 - acc: 0.75 - ETA: 35s - loss: 0.6007 - acc: 0.75 - ETA: 35s - loss: 0.6007 - acc: 0.75 - ETA: 35s - loss: 0.6006 - acc: 0.75 - ETA: 35s - loss: 0.6005 - acc: 0.75 - ETA: 35s - loss: 0.6005 - acc: 0.75 - ETA: 35s - loss: 0.6006 - acc: 0.75 - ETA: 35s - loss: 0.6005 - acc: 0.75 - ETA: 35s - loss: 0.6006 - acc: 0.75 - ETA: 35s - loss: 0.6008 - acc: 0.75 - ETA: 35s - loss: 0.6008 - acc: 0.75 - ETA: 35s - loss: 0.6007 - acc: 0.75 - ETA: 35s - loss: 0.6006 - acc: 0.75 - ETA: 34s - loss: 0.6006 - acc: 0.7501"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"300300/494430 [=================>............] - ETA: 34s - loss: 0.6007 - acc: 0.75 - ETA: 34s - loss: 0.6007 - acc: 0.75 - ETA: 34s - loss: 0.6007 - acc: 0.75 - ETA: 34s - loss: 0.6006 - acc: 0.75 - ETA: 34s - loss: 0.6006 - acc: 0.75 - ETA: 34s - loss: 0.6006 - acc: 0.75 - ETA: 34s - loss: 0.6008 - acc: 0.75 - ETA: 34s - loss: 0.6008 - acc: 0.74 - ETA: 34s - loss: 0.6008 - acc: 0.75 - ETA: 34s - loss: 0.6008 - acc: 0.75 - ETA: 34s - loss: 0.6007 - acc: 0.75 - ETA: 34s - loss: 0.6009 - acc: 0.74 - ETA: 34s - loss: 0.6009 - acc: 0.74 - ETA: 34s - loss: 0.6009 - acc: 0.74 - ETA: 34s - loss: 0.6010 - acc: 0.74 - ETA: 34s - loss: 0.6010 - acc: 0.74 - ETA: 33s - loss: 0.6009 - acc: 0.74 - ETA: 33s - loss: 0.6009 - acc: 0.74 - ETA: 33s - loss: 0.6009 - acc: 0.74 - ETA: 33s - loss: 0.6010 - acc: 0.74 - ETA: 33s - loss: 0.6011 - acc: 0.74 - ETA: 33s - loss: 0.6010 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6011 - acc: 0.74 - ETA: 33s - loss: 0.6011 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6013 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 33s - loss: 0.6013 - acc: 0.74 - ETA: 33s - loss: 0.6013 - acc: 0.74 - ETA: 33s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6013 - acc: 0.74 - ETA: 32s - loss: 0.6013 - acc: 0.74 - ETA: 32s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6012 - acc: 0.74 - ETA: 32s - loss: 0.6011 - acc: 0.74 - ETA: 32s - loss: 0.6011 - acc: 0.74 - ETA: 32s - loss: 0.6010 - acc: 0.74 - ETA: 32s - loss: 0.6011 - acc: 0.74 - ETA: 32s - loss: 0.6010 - acc: 0.74 - ETA: 32s - loss: 0.6009 - acc: 0.74 - ETA: 32s - loss: 0.6011 - acc: 0.74 - ETA: 32s - loss: 0.6010 - acc: 0.74 - ETA: 32s - loss: 0.6010 - acc: 0.74 - ETA: 32s - loss: 0.6008 - acc: 0.74 - ETA: 31s - loss: 0.6010 - acc: 0.74 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 31s - loss: 0.6010 - acc: 0.75 - ETA: 31s - loss: 0.6009 - acc: 0.75 - ETA: 31s - loss: 0.6010 - acc: 0.75 - ETA: 31s - loss: 0.6009 - acc: 0.75 - ETA: 31s - loss: 0.6008 - acc: 0.75 - ETA: 31s - loss: 0.6009 - acc: 0.75 - ETA: 31s - loss: 0.6010 - acc: 0.75 - ETA: 31s - loss: 0.6010 - acc: 0.75 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 31s - loss: 0.6012 - acc: 0.74 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 31s - loss: 0.6010 - acc: 0.74 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 31s - loss: 0.6012 - acc: 0.74 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 31s - loss: 0.6011 - acc: 0.74 - ETA: 30s - loss: 0.6010 - acc: 0.74 - ETA: 30s - loss: 0.6011 - acc: 0.74 - ETA: 30s - loss: 0.6012 - acc: 0.74 - ETA: 30s - loss: 0.6012 - acc: 0.74 - ETA: 30s - loss: 0.6014 - acc: 0.74 - ETA: 30s - loss: 0.6015 - acc: 0.74 - ETA: 30s - loss: 0.6015 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6017 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6015 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6016 - acc: 0.74 - ETA: 30s - loss: 0.6015 - acc: 0.74 - ETA: 30s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6016 - acc: 0.74 - ETA: 29s - loss: 0.6015 - acc: 0.74 - ETA: 29s - loss: 0.6016 - acc: 0.74 - ETA: 29s - loss: 0.6016 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6018 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6016 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6018 - acc: 0.74 - ETA: 29s - loss: 0.6018 - acc: 0.74 - ETA: 29s - loss: 0.6018 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6017 - acc: 0.74 - ETA: 29s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6017 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6017 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6018 - acc: 0.74 - ETA: 28s - loss: 0.6019 - acc: 0.74 - ETA: 28s - loss: 0.6019 - acc: 0.74 - ETA: 28s - loss: 0.6019 - acc: 0.74 - ETA: 28s - loss: 0.6019 - acc: 0.74 - ETA: 28s - loss: 0.6020 - acc: 0.74 - ETA: 28s - loss: 0.6020 - acc: 0.74 - ETA: 28s - loss: 0.6021 - acc: 0.74 - ETA: 27s - loss: 0.6021 - acc: 0.74 - ETA: 27s - loss: 0.6020 - acc: 0.74 - ETA: 27s - loss: 0.6019 - acc: 0.74 - ETA: 27s - loss: 0.6020 - acc: 0.74 - ETA: 27s - loss: 0.6020 - acc: 0.74 - ETA: 27s - loss: 0.6020 - acc: 0.74 - ETA: 27s - loss: 0.6022 - acc: 0.74 - ETA: 27s - loss: 0.6022 - acc: 0.74 - ETA: 27s - loss: 0.6022 - acc: 0.74 - ETA: 27s - loss: 0.6022 - acc: 0.74 - ETA: 27s - loss: 0.6023 - acc: 0.74 - ETA: 27s - loss: 0.6023 - acc: 0.74 - ETA: 27s - loss: 0.6024 - acc: 0.74 - ETA: 27s - loss: 0.6024 - acc: 0.74 - ETA: 27s - loss: 0.6023 - acc: 0.74 - ETA: 27s - loss: 0.6023 - acc: 0.74 - ETA: 27s - loss: 0.6024 - acc: 0.74 - ETA: 27s - loss: 0.6024 - acc: 0.74 - ETA: 27s - loss: 0.6025 - acc: 0.74 - ETA: 26s - loss: 0.6025 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6026 - acc: 0.74 - ETA: 26s - loss: 0.6027 - acc: 0.74 - ETA: 26s - loss: 0.6028 - acc: 0.74 - ETA: 26s - loss: 0.6029 - acc: 0.74 - ETA: 26s - loss: 0.6029 - acc: 0.74 - ETA: 26s - loss: 0.6029 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6031 - acc: 0.74 - ETA: 25s - loss: 0.6031 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6029 - acc: 0.74 - ETA: 25s - loss: 0.6029 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6029 - acc: 0.74 - ETA: 25s - loss: 0.6030 - acc: 0.74 - ETA: 25s - loss: 0.6031 - acc: 0.74 - ETA: 25s - loss: 0.6032 - acc: 0.74 - ETA: 25s - loss: 0.6032 - acc: 0.74 - ETA: 25s - loss: 0.6032 - acc: 0.74 - ETA: 25s - loss: 0.6031 - acc: 0.74 - ETA: 24s - loss: 0.6031 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6031 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6031 - acc: 0.74 - ETA: 24s - loss: 0.6031 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6032 - acc: 0.74 - ETA: 24s - loss: 0.6033 - acc: 0.74 - ETA: 24s - loss: 0.6033 - acc: 0.74 - ETA: 24s - loss: 0.6033 - acc: 0.74 - ETA: 24s - loss: 0.6034 - acc: 0.74 - ETA: 24s - loss: 0.6034 - acc: 0.74 - ETA: 23s - loss: 0.6035 - acc: 0.74 - ETA: 23s - loss: 0.6035 - acc: 0.74 - ETA: 23s - loss: 0.6034 - acc: 0.74 - ETA: 23s - loss: 0.6034 - acc: 0.74 - ETA: 23s - loss: 0.6033 - acc: 0.74 - ETA: 23s - loss: 0.6032 - acc: 0.74 - ETA: 23s - loss: 0.6032 - acc: 0.74 - ETA: 23s - loss: 0.6031 - acc: 0.74 - ETA: 23s - loss: 0.6032 - acc: 0.74 - ETA: 23s - loss: 0.6032 - acc: 0.74 - ETA: 23s - loss: 0.6031 - acc: 0.74 - ETA: 23s - loss: 0.6031 - acc: 0.74 - ETA: 23s - loss: 0.6031 - acc: 0.74 - ETA: 23s - loss: 0.6030 - acc: 0.74 - ETA: 23s - loss: 0.6030 - acc: 0.74 - ETA: 23s - loss: 0.6030 - acc: 0.7489"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"399200/494430 [=======================>......] - ETA: 23s - loss: 0.6030 - acc: 0.74 - ETA: 23s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6031 - acc: 0.74 - ETA: 22s - loss: 0.6031 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6030 - acc: 0.74 - ETA: 22s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6033 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6032 - acc: 0.74 - ETA: 21s - loss: 0.6033 - acc: 0.74 - ETA: 21s - loss: 0.6031 - acc: 0.74 - ETA: 20s - loss: 0.6033 - acc: 0.74 - ETA: 20s - loss: 0.6032 - acc: 0.74 - ETA: 20s - loss: 0.6033 - acc: 0.74 - ETA: 20s - loss: 0.6033 - acc: 0.74 - ETA: 20s - loss: 0.6034 - acc: 0.74 - ETA: 20s - loss: 0.6034 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6035 - acc: 0.74 - ETA: 20s - loss: 0.6036 - acc: 0.74 - ETA: 20s - loss: 0.6037 - acc: 0.74 - ETA: 20s - loss: 0.6037 - acc: 0.74 - ETA: 20s - loss: 0.6037 - acc: 0.74 - ETA: 20s - loss: 0.6037 - acc: 0.74 - ETA: 19s - loss: 0.6036 - acc: 0.74 - ETA: 19s - loss: 0.6037 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6038 - acc: 0.74 - ETA: 19s - loss: 0.6037 - acc: 0.74 - ETA: 19s - loss: 0.6036 - acc: 0.74 - ETA: 19s - loss: 0.6036 - acc: 0.74 - ETA: 19s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6035 - acc: 0.74 - ETA: 18s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6035 - acc: 0.74 - ETA: 18s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6037 - acc: 0.74 - ETA: 18s - loss: 0.6036 - acc: 0.74 - ETA: 18s - loss: 0.6037 - acc: 0.74 - ETA: 18s - loss: 0.6038 - acc: 0.74 - ETA: 18s - loss: 0.6038 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6038 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 18s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6040 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6037 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6038 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6040 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 17s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6038 - acc: 0.74 - ETA: 16s - loss: 0.6037 - acc: 0.74 - ETA: 16s - loss: 0.6037 - acc: 0.74 - ETA: 16s - loss: 0.6037 - acc: 0.74 - ETA: 16s - loss: 0.6037 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 16s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6038 - acc: 0.74 - ETA: 15s - loss: 0.6038 - acc: 0.74 - ETA: 15s - loss: 0.6038 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6038 - acc: 0.74 - ETA: 15s - loss: 0.6038 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6039 - acc: 0.74 - ETA: 15s - loss: 0.6040 - acc: 0.74 - ETA: 15s - loss: 0.6040 - acc: 0.74 - ETA: 15s - loss: 0.6040 - acc: 0.74 - ETA: 15s - loss: 0.6040 - acc: 0.74 - ETA: 15s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6041 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6039 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6039 - acc: 0.74 - ETA: 14s - loss: 0.6039 - acc: 0.74 - ETA: 14s - loss: 0.6039 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 14s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6041 - acc: 0.74 - ETA: 13s - loss: 0.6041 - acc: 0.74 - ETA: 13s - loss: 0.6041 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6041 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6039 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 13s - loss: 0.6040 - acc: 0.74 - ETA: 12s - loss: 0.6040 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6040 - acc: 0.74 - ETA: 12s - loss: 0.6040 - acc: 0.74 - ETA: 12s - loss: 0.6040 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6039 - acc: 0.74 - ETA: 12s - loss: 0.6038 - acc: 0.74 - ETA: 12s - loss: 0.6038 - acc: 0.74 - ETA: 12s - loss: 0.6038 - acc: 0.74 - ETA: 12s - loss: 0.6037 - acc: 0.74 - ETA: 12s - loss: 0.6037 - acc: 0.74 - ETA: 12s - loss: 0.6037 - acc: 0.74 - ETA: 12s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6038 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6038 - acc: 0.74 - ETA: 11s - loss: 0.6038 - acc: 0.74 - ETA: 11s - loss: 0.6038 - acc: 0.74 - ETA: 11s - loss: 0.6038 - acc: 0.7485"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"494430/494430 [==============================] - ETA: 11s - loss: 0.6038 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 11s - loss: 0.6037 - acc: 0.74 - ETA: 10s - loss: 0.6038 - acc: 0.74 - ETA: 10s - loss: 0.6038 - acc: 0.74 - ETA: 10s - loss: 0.6038 - acc: 0.74 - ETA: 10s - loss: 0.6038 - acc: 0.74 - ETA: 10s - loss: 0.6038 - acc: 0.74 - ETA: 10s - loss: 0.6039 - acc: 0.74 - ETA: 10s - loss: 0.6039 - acc: 0.74 - ETA: 10s - loss: 0.6040 - acc: 0.74 - ETA: 10s - loss: 0.6040 - acc: 0.74 - ETA: 10s - loss: 0.6040 - acc: 0.74 - ETA: 10s - loss: 0.6040 - acc: 0.74 - ETA: 10s - loss: 0.6041 - acc: 0.74 - ETA: 10s - loss: 0.6041 - acc: 0.74 - ETA: 10s - loss: 0.6042 - acc: 0.74 - ETA: 10s - loss: 0.6041 - acc: 0.74 - ETA: 10s - loss: 0.6042 - acc: 0.74 - ETA: 10s - loss: 0.6042 - acc: 0.74 - ETA: 9s - loss: 0.6042 - acc: 0.7484 - ETA: 9s - loss: 0.6042 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6044 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 9s - loss: 0.6043 - acc: 0.748 - ETA: 8s - loss: 0.6044 - acc: 0.748 - ETA: 8s - loss: 0.6043 - acc: 0.748 - ETA: 8s - loss: 0.6043 - acc: 0.748 - ETA: 8s - loss: 0.6044 - acc: 0.748 - ETA: 8s - loss: 0.6044 - acc: 0.748 - ETA: 8s - loss: 0.6044 - acc: 0.748 - ETA: 8s - loss: 0.6045 - acc: 0.748 - ETA: 8s - loss: 0.6046 - acc: 0.748 - ETA: 8s - loss: 0.6046 - acc: 0.748 - ETA: 8s - loss: 0.6046 - acc: 0.748 - ETA: 8s - loss: 0.6047 - acc: 0.748 - ETA: 8s - loss: 0.6047 - acc: 0.748 - ETA: 8s - loss: 0.6048 - acc: 0.748 - ETA: 8s - loss: 0.6047 - acc: 0.748 - ETA: 8s - loss: 0.6048 - acc: 0.748 - ETA: 8s - loss: 0.6047 - acc: 0.748 - ETA: 8s - loss: 0.6048 - acc: 0.748 - ETA: 8s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6050 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6049 - acc: 0.748 - ETA: 7s - loss: 0.6050 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 7s - loss: 0.6048 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6048 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6049 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 6s - loss: 0.6051 - acc: 0.748 - ETA: 6s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6050 - acc: 0.748 - ETA: 5s - loss: 0.6051 - acc: 0.748 - ETA: 5s - loss: 0.6052 - acc: 0.748 - ETA: 5s - loss: 0.6052 - acc: 0.748 - ETA: 4s - loss: 0.6052 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6052 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 4s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6052 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6053 - acc: 0.748 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 3s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6053 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6054 - acc: 0.747 - ETA: 2s - loss: 0.6055 - acc: 0.747 - ETA: 2s - loss: 0.6055 - acc: 0.747 - ETA: 2s - loss: 0.6055 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6056 - acc: 0.747 - ETA: 2s - loss: 0.6057 - acc: 0.747 - ETA: 1s - loss: 0.6057 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6058 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 1s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6061 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - ETA: 0s - loss: 0.6059 - acc: 0.747 - ETA: 0s - loss: 0.6060 - acc: 0.747 - 61s 124us/step - loss: 0.6060 - acc: 0.7476 - val_loss: 0.6438 - val_acc: 0.7316\n",
"Epoch 2/5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 99900/494430 [=====>........................] - ETA: 3:03 - loss: 0.3435 - acc: 0.900 - ETA: 1:19 - loss: 0.5281 - acc: 0.795 - ETA: 1:09 - loss: 0.5288 - acc: 0.788 - ETA: 1:05 - loss: 0.5242 - acc: 0.788 - ETA: 1:02 - loss: 0.5193 - acc: 0.790 - ETA: 1:01 - loss: 0.5269 - acc: 0.789 - ETA: 1:00 - loss: 0.5383 - acc: 0.783 - ETA: 59s - loss: 0.5385 - acc: 0.780 - ETA: 58s - loss: 0.5417 - acc: 0.77 - ETA: 57s - loss: 0.5479 - acc: 0.77 - ETA: 57s - loss: 0.5489 - acc: 0.77 - ETA: 57s - loss: 0.5550 - acc: 0.77 - ETA: 57s - loss: 0.5566 - acc: 0.77 - ETA: 56s - loss: 0.5608 - acc: 0.77 - ETA: 56s - loss: 0.5641 - acc: 0.77 - ETA: 56s - loss: 0.5679 - acc: 0.76 - ETA: 56s - loss: 0.5677 - acc: 0.76 - ETA: 56s - loss: 0.5711 - acc: 0.76 - ETA: 56s - loss: 0.5700 - acc: 0.76 - ETA: 56s - loss: 0.5722 - acc: 0.76 - ETA: 57s - loss: 0.5732 - acc: 0.76 - ETA: 57s - loss: 0.5740 - acc: 0.76 - ETA: 56s - loss: 0.5746 - acc: 0.76 - ETA: 56s - loss: 0.5719 - acc: 0.76 - ETA: 56s - loss: 0.5725 - acc: 0.76 - ETA: 56s - loss: 0.5708 - acc: 0.76 - ETA: 57s - loss: 0.5691 - acc: 0.76 - ETA: 57s - loss: 0.5693 - acc: 0.76 - ETA: 57s - loss: 0.5691 - acc: 0.76 - ETA: 57s - loss: 0.5696 - acc: 0.76 - ETA: 57s - loss: 0.5695 - acc: 0.76 - ETA: 56s - loss: 0.5695 - acc: 0.76 - ETA: 56s - loss: 0.5709 - acc: 0.76 - ETA: 56s - loss: 0.5713 - acc: 0.76 - ETA: 56s - loss: 0.5715 - acc: 0.76 - ETA: 56s - loss: 0.5722 - acc: 0.76 - ETA: 56s - loss: 0.5721 - acc: 0.76 - ETA: 56s - loss: 0.5716 - acc: 0.76 - ETA: 56s - loss: 0.5706 - acc: 0.76 - ETA: 56s - loss: 0.5722 - acc: 0.76 - ETA: 56s - loss: 0.5720 - acc: 0.76 - ETA: 56s - loss: 0.5708 - acc: 0.76 - ETA: 56s - loss: 0.5712 - acc: 0.76 - ETA: 56s - loss: 0.5715 - acc: 0.76 - ETA: 55s - loss: 0.5713 - acc: 0.76 - ETA: 55s - loss: 0.5726 - acc: 0.76 - ETA: 55s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5717 - acc: 0.76 - ETA: 55s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5741 - acc: 0.76 - ETA: 55s - loss: 0.5736 - acc: 0.76 - ETA: 55s - loss: 0.5734 - acc: 0.76 - ETA: 55s - loss: 0.5729 - acc: 0.76 - ETA: 55s - loss: 0.5732 - acc: 0.76 - ETA: 55s - loss: 0.5730 - acc: 0.76 - ETA: 55s - loss: 0.5745 - acc: 0.76 - ETA: 55s - loss: 0.5740 - acc: 0.76 - ETA: 55s - loss: 0.5739 - acc: 0.76 - ETA: 55s - loss: 0.5738 - acc: 0.76 - ETA: 55s - loss: 0.5740 - acc: 0.76 - ETA: 55s - loss: 0.5729 - acc: 0.76 - ETA: 55s - loss: 0.5731 - acc: 0.76 - ETA: 55s - loss: 0.5731 - acc: 0.76 - ETA: 55s - loss: 0.5737 - acc: 0.76 - ETA: 55s - loss: 0.5740 - acc: 0.76 - ETA: 55s - loss: 0.5739 - acc: 0.76 - ETA: 54s - loss: 0.5739 - acc: 0.76 - ETA: 54s - loss: 0.5741 - acc: 0.76 - ETA: 54s - loss: 0.5744 - acc: 0.76 - ETA: 54s - loss: 0.5743 - acc: 0.76 - ETA: 54s - loss: 0.5745 - acc: 0.76 - ETA: 54s - loss: 0.5742 - acc: 0.76 - ETA: 54s - loss: 0.5748 - acc: 0.76 - ETA: 54s - loss: 0.5750 - acc: 0.76 - ETA: 54s - loss: 0.5745 - acc: 0.76 - ETA: 54s - loss: 0.5738 - acc: 0.76 - ETA: 54s - loss: 0.5733 - acc: 0.76 - ETA: 54s - loss: 0.5734 - acc: 0.76 - ETA: 54s - loss: 0.5734 - acc: 0.76 - ETA: 53s - loss: 0.5735 - acc: 0.76 - ETA: 53s - loss: 0.5735 - acc: 0.76 - ETA: 53s - loss: 0.5735 - acc: 0.76 - ETA: 53s - loss: 0.5736 - acc: 0.76 - ETA: 53s - loss: 0.5732 - acc: 0.76 - ETA: 53s - loss: 0.5732 - acc: 0.76 - ETA: 53s - loss: 0.5738 - acc: 0.76 - ETA: 53s - loss: 0.5741 - acc: 0.76 - ETA: 53s - loss: 0.5747 - acc: 0.76 - ETA: 53s - loss: 0.5748 - acc: 0.76 - ETA: 53s - loss: 0.5749 - acc: 0.76 - ETA: 53s - loss: 0.5748 - acc: 0.76 - ETA: 53s - loss: 0.5745 - acc: 0.76 - ETA: 53s - loss: 0.5748 - acc: 0.76 - ETA: 53s - loss: 0.5748 - acc: 0.76 - ETA: 53s - loss: 0.5750 - acc: 0.76 - ETA: 53s - loss: 0.5759 - acc: 0.76 - ETA: 53s - loss: 0.5758 - acc: 0.76 - ETA: 52s - loss: 0.5763 - acc: 0.76 - ETA: 52s - loss: 0.5767 - acc: 0.76 - ETA: 52s - loss: 0.5765 - acc: 0.76 - ETA: 52s - loss: 0.5766 - acc: 0.76 - ETA: 52s - loss: 0.5766 - acc: 0.76 - ETA: 52s - loss: 0.5769 - acc: 0.76 - ETA: 52s - loss: 0.5766 - acc: 0.76 - ETA: 52s - loss: 0.5773 - acc: 0.76 - ETA: 52s - loss: 0.5770 - acc: 0.76 - ETA: 52s - loss: 0.5772 - acc: 0.76 - ETA: 52s - loss: 0.5773 - acc: 0.76 - ETA: 52s - loss: 0.5772 - acc: 0.76 - ETA: 52s - loss: 0.5771 - acc: 0.76 - ETA: 52s - loss: 0.5772 - acc: 0.76 - ETA: 52s - loss: 0.5768 - acc: 0.76 - ETA: 52s - loss: 0.5768 - acc: 0.76 - ETA: 52s - loss: 0.5769 - acc: 0.76 - ETA: 52s - loss: 0.5769 - acc: 0.76 - ETA: 52s - loss: 0.5770 - acc: 0.76 - ETA: 52s - loss: 0.5774 - acc: 0.76 - ETA: 52s - loss: 0.5774 - acc: 0.76 - ETA: 51s - loss: 0.5779 - acc: 0.76 - ETA: 51s - loss: 0.5783 - acc: 0.76 - ETA: 51s - loss: 0.5780 - acc: 0.76 - ETA: 51s - loss: 0.5779 - acc: 0.76 - ETA: 51s - loss: 0.5784 - acc: 0.76 - ETA: 51s - loss: 0.5784 - acc: 0.76 - ETA: 51s - loss: 0.5782 - acc: 0.76 - ETA: 51s - loss: 0.5781 - acc: 0.76 - ETA: 51s - loss: 0.5779 - acc: 0.76 - ETA: 51s - loss: 0.5781 - acc: 0.76 - ETA: 51s - loss: 0.5785 - acc: 0.76 - ETA: 51s - loss: 0.5789 - acc: 0.76 - ETA: 51s - loss: 0.5795 - acc: 0.76 - ETA: 51s - loss: 0.5796 - acc: 0.76 - ETA: 51s - loss: 0.5799 - acc: 0.75 - ETA: 51s - loss: 0.5798 - acc: 0.75 - ETA: 51s - loss: 0.5797 - acc: 0.75 - ETA: 51s - loss: 0.5795 - acc: 0.75 - ETA: 51s - loss: 0.5795 - acc: 0.75 - ETA: 51s - loss: 0.5798 - acc: 0.75 - ETA: 51s - loss: 0.5799 - acc: 0.75 - ETA: 51s - loss: 0.5796 - acc: 0.75 - ETA: 51s - loss: 0.5797 - acc: 0.75 - ETA: 51s - loss: 0.5797 - acc: 0.75 - ETA: 50s - loss: 0.5801 - acc: 0.75 - ETA: 50s - loss: 0.5803 - acc: 0.75 - ETA: 50s - loss: 0.5804 - acc: 0.75 - ETA: 50s - loss: 0.5801 - acc: 0.75 - ETA: 50s - loss: 0.5800 - acc: 0.75 - ETA: 50s - loss: 0.5802 - acc: 0.75 - ETA: 50s - loss: 0.5803 - acc: 0.75 - ETA: 50s - loss: 0.5806 - acc: 0.75 - ETA: 50s - loss: 0.5809 - acc: 0.75 - ETA: 50s - loss: 0.5810 - acc: 0.75 - ETA: 50s - loss: 0.5807 - acc: 0.75 - ETA: 50s - loss: 0.5809 - acc: 0.75 - ETA: 50s - loss: 0.5808 - acc: 0.75 - ETA: 50s - loss: 0.5804 - acc: 0.76 - ETA: 50s - loss: 0.5807 - acc: 0.76 - ETA: 50s - loss: 0.5807 - acc: 0.76 - ETA: 50s - loss: 0.5808 - acc: 0.76 - ETA: 50s - loss: 0.5804 - acc: 0.76 - ETA: 50s - loss: 0.5804 - acc: 0.76 - ETA: 50s - loss: 0.5802 - acc: 0.76 - ETA: 50s - loss: 0.5801 - acc: 0.76 - ETA: 50s - loss: 0.5805 - acc: 0.76 - ETA: 49s - loss: 0.5807 - acc: 0.76 - ETA: 49s - loss: 0.5809 - acc: 0.76 - ETA: 49s - loss: 0.5807 - acc: 0.76 - ETA: 49s - loss: 0.5809 - acc: 0.75 - ETA: 49s - loss: 0.5811 - acc: 0.75 - ETA: 49s - loss: 0.5813 - acc: 0.75 - ETA: 49s - loss: 0.5814 - acc: 0.75 - ETA: 49s - loss: 0.5813 - acc: 0.76 - ETA: 49s - loss: 0.5811 - acc: 0.76 - ETA: 49s - loss: 0.5809 - acc: 0.76 - ETA: 49s - loss: 0.5809 - acc: 0.76 - ETA: 49s - loss: 0.5809 - acc: 0.76 - ETA: 49s - loss: 0.5812 - acc: 0.76 - ETA: 49s - loss: 0.5812 - acc: 0.76 - ETA: 49s - loss: 0.5815 - acc: 0.75 - ETA: 49s - loss: 0.5814 - acc: 0.75 - ETA: 49s - loss: 0.5818 - acc: 0.75 - ETA: 49s - loss: 0.5818 - acc: 0.75 - ETA: 49s - loss: 0.5818 - acc: 0.75 - ETA: 49s - loss: 0.5818 - acc: 0.75 - ETA: 49s - loss: 0.5817 - acc: 0.75 - ETA: 49s - loss: 0.5819 - acc: 0.75 - ETA: 49s - loss: 0.5820 - acc: 0.75 - ETA: 48s - loss: 0.5822 - acc: 0.75 - ETA: 48s - loss: 0.5824 - acc: 0.75 - ETA: 48s - loss: 0.5822 - acc: 0.75 - ETA: 48s - loss: 0.5826 - acc: 0.75 - ETA: 48s - loss: 0.5826 - acc: 0.75 - ETA: 48s - loss: 0.5830 - acc: 0.75 - ETA: 48s - loss: 0.5830 - acc: 0.75 - ETA: 48s - loss: 0.5832 - acc: 0.75 - ETA: 48s - loss: 0.5833 - acc: 0.75 - ETA: 48s - loss: 0.5830 - acc: 0.75 - ETA: 48s - loss: 0.5828 - acc: 0.75 - ETA: 48s - loss: 0.5829 - acc: 0.75 - ETA: 48s - loss: 0.5831 - acc: 0.75 - ETA: 48s - loss: 0.5830 - acc: 0.75 - ETA: 48s - loss: 0.5831 - acc: 0.75 - ETA: 48s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5835 - acc: 0.75 - ETA: 47s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5835 - acc: 0.75 - ETA: 47s - loss: 0.5838 - acc: 0.75 - ETA: 47s - loss: 0.5837 - acc: 0.75 - ETA: 47s - loss: 0.5837 - acc: 0.75 - ETA: 47s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5832 - acc: 0.75 - ETA: 47s - loss: 0.5832 - acc: 0.75 - ETA: 47s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5832 - acc: 0.7598200100/494430 [===========>..................] - ETA: 47s - loss: 0.5830 - acc: 0.75 - ETA: 47s - loss: 0.5830 - acc: 0.75 - ETA: 47s - loss: 0.5833 - acc: 0.75 - ETA: 47s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5834 - acc: 0.75 - ETA: 47s - loss: 0.5832 - acc: 0.75 - ETA: 46s - loss: 0.5833 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5835 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5833 - acc: 0.75 - ETA: 46s - loss: 0.5833 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5833 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 46s - loss: 0.5833 - acc: 0.75 - ETA: 46s - loss: 0.5832 - acc: 0.75 - ETA: 46s - loss: 0.5836 - acc: 0.75 - ETA: 46s - loss: 0.5834 - acc: 0.75 - ETA: 45s - loss: 0.5832 - acc: 0.75 - ETA: 45s - loss: 0.5833 - acc: 0.75 - ETA: 45s - loss: 0.5830 - acc: 0.75 - ETA: 45s - loss: 0.5830 - acc: 0.75 - ETA: 45s - loss: 0.5832 - acc: 0.75 - ETA: 45s - loss: 0.5830 - acc: 0.75 - ETA: 45s - loss: 0.5831 - acc: 0.75 - ETA: 45s - loss: 0.5832 - acc: 0.75 - ETA: 45s - loss: 0.5834 - acc: 0.75 - ETA: 45s - loss: 0.5835 - acc: 0.75 - ETA: 45s - loss: 0.5835 - acc: 0.75 - ETA: 45s - loss: 0.5834 - acc: 0.75 - ETA: 45s - loss: 0.5833 - acc: 0.75 - ETA: 45s - loss: 0.5835 - acc: 0.75 - ETA: 45s - loss: 0.5834 - acc: 0.75 - ETA: 45s - loss: 0.5836 - acc: 0.75 - ETA: 45s - loss: 0.5835 - acc: 0.75 - ETA: 44s - loss: 0.5837 - acc: 0.75 - ETA: 44s - loss: 0.5838 - acc: 0.75 - ETA: 44s - loss: 0.5839 - acc: 0.75 - ETA: 44s - loss: 0.5840 - acc: 0.75 - ETA: 44s - loss: 0.5840 - acc: 0.75 - ETA: 44s - loss: 0.5840 - acc: 0.75 - ETA: 44s - loss: 0.5840 - acc: 0.75 - ETA: 44s - loss: 0.5841 - acc: 0.75 - ETA: 44s - loss: 0.5840 - acc: 0.75 - ETA: 44s - loss: 0.5838 - acc: 0.75 - ETA: 44s - loss: 0.5841 - acc: 0.75 - ETA: 44s - loss: 0.5841 - acc: 0.75 - ETA: 44s - loss: 0.5843 - acc: 0.75 - ETA: 44s - loss: 0.5842 - acc: 0.75 - ETA: 44s - loss: 0.5843 - acc: 0.75 - ETA: 44s - loss: 0.5845 - acc: 0.75 - ETA: 44s - loss: 0.5844 - acc: 0.75 - ETA: 44s - loss: 0.5844 - acc: 0.75 - ETA: 43s - loss: 0.5845 - acc: 0.75 - ETA: 43s - loss: 0.5845 - acc: 0.75 - ETA: 43s - loss: 0.5846 - acc: 0.75 - ETA: 43s - loss: 0.5847 - acc: 0.75 - ETA: 43s - loss: 0.5849 - acc: 0.75 - ETA: 43s - loss: 0.5849 - acc: 0.75 - ETA: 43s - loss: 0.5850 - acc: 0.75 - ETA: 43s - loss: 0.5851 - acc: 0.75 - ETA: 43s - loss: 0.5851 - acc: 0.75 - ETA: 43s - loss: 0.5851 - acc: 0.75 - ETA: 43s - loss: 0.5851 - acc: 0.75 - ETA: 43s - loss: 0.5852 - acc: 0.75 - ETA: 43s - loss: 0.5853 - acc: 0.75 - ETA: 43s - loss: 0.5853 - acc: 0.75 - ETA: 43s - loss: 0.5852 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5852 - acc: 0.75 - ETA: 42s - loss: 0.5852 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5852 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5855 - acc: 0.75 - ETA: 42s - loss: 0.5855 - acc: 0.75 - ETA: 42s - loss: 0.5854 - acc: 0.75 - ETA: 42s - loss: 0.5855 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 42s - loss: 0.5853 - acc: 0.75 - ETA: 41s - loss: 0.5852 - acc: 0.75 - ETA: 41s - loss: 0.5851 - acc: 0.75 - ETA: 41s - loss: 0.5849 - acc: 0.75 - ETA: 41s - loss: 0.5849 - acc: 0.75 - ETA: 41s - loss: 0.5847 - acc: 0.75 - ETA: 41s - loss: 0.5846 - acc: 0.75 - ETA: 41s - loss: 0.5848 - acc: 0.75 - ETA: 41s - loss: 0.5847 - acc: 0.75 - ETA: 41s - loss: 0.5847 - acc: 0.75 - ETA: 41s - loss: 0.5846 - acc: 0.75 - ETA: 41s - loss: 0.5846 - acc: 0.75 - ETA: 41s - loss: 0.5846 - acc: 0.75 - ETA: 41s - loss: 0.5845 - acc: 0.75 - ETA: 41s - loss: 0.5844 - acc: 0.75 - ETA: 41s - loss: 0.5843 - acc: 0.75 - ETA: 41s - loss: 0.5843 - acc: 0.75 - ETA: 41s - loss: 0.5843 - acc: 0.75 - ETA: 41s - loss: 0.5844 - acc: 0.75 - ETA: 41s - loss: 0.5844 - acc: 0.75 - ETA: 40s - loss: 0.5843 - acc: 0.75 - ETA: 40s - loss: 0.5843 - acc: 0.75 - ETA: 40s - loss: 0.5844 - acc: 0.75 - ETA: 40s - loss: 0.5843 - acc: 0.75 - ETA: 40s - loss: 0.5844 - acc: 0.75 - ETA: 40s - loss: 0.5845 - acc: 0.75 - ETA: 40s - loss: 0.5846 - acc: 0.75 - ETA: 40s - loss: 0.5845 - acc: 0.75 - ETA: 40s - loss: 0.5846 - acc: 0.75 - ETA: 40s - loss: 0.5845 - acc: 0.75 - ETA: 40s - loss: 0.5846 - acc: 0.75 - ETA: 40s - loss: 0.5846 - acc: 0.75 - ETA: 40s - loss: 0.5846 - acc: 0.75 - ETA: 40s - loss: 0.5847 - acc: 0.75 - ETA: 40s - loss: 0.5848 - acc: 0.75 - ETA: 40s - loss: 0.5848 - acc: 0.75 - ETA: 40s - loss: 0.5848 - acc: 0.75 - ETA: 40s - loss: 0.5851 - acc: 0.75 - ETA: 40s - loss: 0.5852 - acc: 0.75 - ETA: 40s - loss: 0.5852 - acc: 0.75 - ETA: 39s - loss: 0.5851 - acc: 0.75 - ETA: 39s - loss: 0.5852 - acc: 0.75 - ETA: 39s - loss: 0.5852 - acc: 0.75 - ETA: 39s - loss: 0.5851 - acc: 0.75 - ETA: 39s - loss: 0.5853 - acc: 0.75 - ETA: 39s - loss: 0.5852 - acc: 0.75 - ETA: 39s - loss: 0.5851 - acc: 0.75 - ETA: 39s - loss: 0.5852 - acc: 0.75 - ETA: 39s - loss: 0.5855 - acc: 0.75 - ETA: 39s - loss: 0.5854 - acc: 0.75 - ETA: 39s - loss: 0.5853 - acc: 0.75 - ETA: 39s - loss: 0.5854 - acc: 0.75 - ETA: 39s - loss: 0.5854 - acc: 0.75 - ETA: 39s - loss: 0.5854 - acc: 0.75 - ETA: 39s - loss: 0.5855 - acc: 0.75 - ETA: 39s - loss: 0.5855 - acc: 0.75 - ETA: 39s - loss: 0.5855 - acc: 0.75 - ETA: 39s - loss: 0.5857 - acc: 0.75 - ETA: 39s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5854 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5854 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5855 - acc: 0.75 - ETA: 38s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5856 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5857 - acc: 0.75 - ETA: 38s - loss: 0.5858 - acc: 0.75 - ETA: 37s - loss: 0.5859 - acc: 0.75 - ETA: 37s - loss: 0.5860 - acc: 0.75 - ETA: 37s - loss: 0.5861 - acc: 0.75 - ETA: 37s - loss: 0.5861 - acc: 0.75 - ETA: 37s - loss: 0.5861 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5863 - acc: 0.75 - ETA: 37s - loss: 0.5863 - acc: 0.75 - ETA: 37s - loss: 0.5861 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5863 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5862 - acc: 0.75 - ETA: 37s - loss: 0.5864 - acc: 0.75 - ETA: 37s - loss: 0.5864 - acc: 0.75 - ETA: 37s - loss: 0.5863 - acc: 0.75 - ETA: 36s - loss: 0.5862 - acc: 0.75 - ETA: 36s - loss: 0.5862 - acc: 0.75 - ETA: 36s - loss: 0.5861 - acc: 0.75 - ETA: 36s - loss: 0.5862 - acc: 0.75 - ETA: 36s - loss: 0.5863 - acc: 0.75 - ETA: 36s - loss: 0.5863 - acc: 0.75 - ETA: 36s - loss: 0.5863 - acc: 0.75 - ETA: 36s - loss: 0.5864 - acc: 0.75 - ETA: 36s - loss: 0.5865 - acc: 0.75 - ETA: 36s - loss: 0.5866 - acc: 0.75 - ETA: 36s - loss: 0.5866 - acc: 0.75 - ETA: 36s - loss: 0.5865 - acc: 0.75 - ETA: 36s - loss: 0.5865 - acc: 0.75 - ETA: 36s - loss: 0.5865 - acc: 0.75 - ETA: 36s - loss: 0.5865 - acc: 0.75 - ETA: 36s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5867 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5867 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.7576"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"299400/494430 [=================>............] - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5865 - acc: 0.75 - ETA: 35s - loss: 0.5866 - acc: 0.75 - ETA: 34s - loss: 0.5866 - acc: 0.75 - ETA: 34s - loss: 0.5867 - acc: 0.75 - ETA: 34s - loss: 0.5868 - acc: 0.75 - ETA: 34s - loss: 0.5869 - acc: 0.75 - ETA: 34s - loss: 0.5869 - acc: 0.75 - ETA: 34s - loss: 0.5869 - acc: 0.75 - ETA: 34s - loss: 0.5871 - acc: 0.75 - ETA: 34s - loss: 0.5870 - acc: 0.75 - ETA: 34s - loss: 0.5870 - acc: 0.75 - ETA: 34s - loss: 0.5871 - acc: 0.75 - ETA: 34s - loss: 0.5871 - acc: 0.75 - ETA: 34s - loss: 0.5870 - acc: 0.75 - ETA: 34s - loss: 0.5869 - acc: 0.75 - ETA: 34s - loss: 0.5867 - acc: 0.75 - ETA: 34s - loss: 0.5868 - acc: 0.75 - ETA: 34s - loss: 0.5867 - acc: 0.75 - ETA: 34s - loss: 0.5868 - acc: 0.75 - ETA: 34s - loss: 0.5868 - acc: 0.75 - ETA: 34s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5868 - acc: 0.75 - ETA: 33s - loss: 0.5869 - acc: 0.75 - ETA: 33s - loss: 0.5869 - acc: 0.75 - ETA: 33s - loss: 0.5870 - acc: 0.75 - ETA: 33s - loss: 0.5870 - acc: 0.75 - ETA: 33s - loss: 0.5871 - acc: 0.75 - ETA: 33s - loss: 0.5872 - acc: 0.75 - ETA: 33s - loss: 0.5872 - acc: 0.75 - ETA: 33s - loss: 0.5872 - acc: 0.75 - ETA: 33s - loss: 0.5871 - acc: 0.75 - ETA: 33s - loss: 0.5871 - acc: 0.75 - ETA: 33s - loss: 0.5872 - acc: 0.75 - ETA: 33s - loss: 0.5872 - acc: 0.75 - ETA: 33s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5874 - acc: 0.75 - ETA: 32s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5872 - acc: 0.75 - ETA: 32s - loss: 0.5872 - acc: 0.75 - ETA: 32s - loss: 0.5871 - acc: 0.75 - ETA: 32s - loss: 0.5872 - acc: 0.75 - ETA: 32s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5873 - acc: 0.75 - ETA: 32s - loss: 0.5874 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 32s - loss: 0.5876 - acc: 0.75 - ETA: 32s - loss: 0.5876 - acc: 0.75 - ETA: 32s - loss: 0.5876 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 32s - loss: 0.5875 - acc: 0.75 - ETA: 31s - loss: 0.5875 - acc: 0.75 - ETA: 31s - loss: 0.5876 - acc: 0.75 - ETA: 31s - loss: 0.5877 - acc: 0.75 - ETA: 31s - loss: 0.5875 - acc: 0.75 - ETA: 31s - loss: 0.5875 - acc: 0.75 - ETA: 31s - loss: 0.5875 - acc: 0.75 - ETA: 31s - loss: 0.5876 - acc: 0.75 - ETA: 31s - loss: 0.5877 - acc: 0.75 - ETA: 31s - loss: 0.5876 - acc: 0.75 - ETA: 31s - loss: 0.5876 - acc: 0.75 - ETA: 31s - loss: 0.5877 - acc: 0.75 - ETA: 31s - loss: 0.5878 - acc: 0.75 - ETA: 31s - loss: 0.5878 - acc: 0.75 - ETA: 31s - loss: 0.5878 - acc: 0.75 - ETA: 31s - loss: 0.5878 - acc: 0.75 - ETA: 31s - loss: 0.5879 - acc: 0.75 - ETA: 31s - loss: 0.5879 - acc: 0.75 - ETA: 31s - loss: 0.5880 - acc: 0.75 - ETA: 31s - loss: 0.5879 - acc: 0.75 - ETA: 31s - loss: 0.5880 - acc: 0.75 - ETA: 30s - loss: 0.5880 - acc: 0.75 - ETA: 30s - loss: 0.5880 - acc: 0.75 - ETA: 30s - loss: 0.5881 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5883 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5881 - acc: 0.75 - ETA: 30s - loss: 0.5883 - acc: 0.75 - ETA: 30s - loss: 0.5883 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5881 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5882 - acc: 0.75 - ETA: 30s - loss: 0.5883 - acc: 0.75 - ETA: 30s - loss: 0.5884 - acc: 0.75 - ETA: 30s - loss: 0.5884 - acc: 0.75 - ETA: 29s - loss: 0.5884 - acc: 0.75 - ETA: 29s - loss: 0.5885 - acc: 0.75 - ETA: 29s - loss: 0.5886 - acc: 0.75 - ETA: 29s - loss: 0.5886 - acc: 0.75 - ETA: 29s - loss: 0.5886 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5888 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5888 - acc: 0.75 - ETA: 29s - loss: 0.5888 - acc: 0.75 - ETA: 29s - loss: 0.5888 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 29s - loss: 0.5888 - acc: 0.75 - ETA: 29s - loss: 0.5887 - acc: 0.75 - ETA: 28s - loss: 0.5887 - acc: 0.75 - ETA: 28s - loss: 0.5887 - acc: 0.75 - ETA: 28s - loss: 0.5887 - acc: 0.75 - ETA: 28s - loss: 0.5887 - acc: 0.75 - ETA: 28s - loss: 0.5886 - acc: 0.75 - ETA: 28s - loss: 0.5886 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5886 - acc: 0.75 - ETA: 28s - loss: 0.5885 - acc: 0.75 - ETA: 28s - loss: 0.5886 - acc: 0.75 - ETA: 27s - loss: 0.5886 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5887 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5889 - acc: 0.75 - ETA: 27s - loss: 0.5888 - acc: 0.75 - ETA: 27s - loss: 0.5888 - acc: 0.75 - ETA: 27s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5887 - acc: 0.75 - ETA: 26s - loss: 0.5887 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5887 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5889 - acc: 0.75 - ETA: 26s - loss: 0.5889 - acc: 0.75 - ETA: 26s - loss: 0.5888 - acc: 0.75 - ETA: 26s - loss: 0.5889 - acc: 0.75 - ETA: 26s - loss: 0.5889 - acc: 0.75 - ETA: 26s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5889 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5891 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5889 - acc: 0.75 - ETA: 25s - loss: 0.5890 - acc: 0.75 - ETA: 25s - loss: 0.5891 - acc: 0.75 - ETA: 25s - loss: 0.5891 - acc: 0.75 - ETA: 25s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5891 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 24s - loss: 0.5892 - acc: 0.75 - ETA: 24s - loss: 0.5893 - acc: 0.75 - ETA: 23s - loss: 0.5894 - acc: 0.75 - ETA: 23s - loss: 0.5894 - acc: 0.75 - ETA: 23s - loss: 0.5893 - acc: 0.75 - ETA: 23s - loss: 0.5893 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.7564"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"401500/494430 [=======================>......] - ETA: 23s - loss: 0.5893 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5892 - acc: 0.75 - ETA: 23s - loss: 0.5891 - acc: 0.75 - ETA: 23s - loss: 0.5891 - acc: 0.75 - ETA: 23s - loss: 0.5891 - acc: 0.75 - ETA: 23s - loss: 0.5891 - acc: 0.75 - ETA: 23s - loss: 0.5891 - acc: 0.75 - ETA: 22s - loss: 0.5891 - acc: 0.75 - ETA: 22s - loss: 0.5892 - acc: 0.75 - ETA: 22s - loss: 0.5892 - acc: 0.75 - ETA: 22s - loss: 0.5893 - acc: 0.75 - ETA: 22s - loss: 0.5893 - acc: 0.75 - ETA: 22s - loss: 0.5893 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5893 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5895 - acc: 0.75 - ETA: 22s - loss: 0.5894 - acc: 0.75 - ETA: 22s - loss: 0.5895 - acc: 0.75 - ETA: 22s - loss: 0.5895 - acc: 0.75 - ETA: 22s - loss: 0.5895 - acc: 0.75 - ETA: 21s - loss: 0.5894 - acc: 0.75 - ETA: 21s - loss: 0.5895 - acc: 0.75 - ETA: 21s - loss: 0.5895 - acc: 0.75 - ETA: 21s - loss: 0.5895 - acc: 0.75 - ETA: 21s - loss: 0.5895 - acc: 0.75 - ETA: 21s - loss: 0.5896 - acc: 0.75 - ETA: 21s - loss: 0.5896 - acc: 0.75 - ETA: 21s - loss: 0.5896 - acc: 0.75 - ETA: 21s - loss: 0.5897 - acc: 0.75 - ETA: 21s - loss: 0.5897 - acc: 0.75 - ETA: 21s - loss: 0.5897 - acc: 0.75 - ETA: 21s - loss: 0.5897 - acc: 0.75 - ETA: 21s - loss: 0.5898 - acc: 0.75 - ETA: 21s - loss: 0.5898 - acc: 0.75 - ETA: 21s - loss: 0.5899 - acc: 0.75 - ETA: 21s - loss: 0.5898 - acc: 0.75 - ETA: 21s - loss: 0.5898 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5896 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5896 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5896 - acc: 0.75 - ETA: 20s - loss: 0.5896 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5897 - acc: 0.75 - ETA: 20s - loss: 0.5899 - acc: 0.75 - ETA: 20s - loss: 0.5899 - acc: 0.75 - ETA: 20s - loss: 0.5899 - acc: 0.75 - ETA: 20s - loss: 0.5898 - acc: 0.75 - ETA: 19s - loss: 0.5898 - acc: 0.75 - ETA: 19s - loss: 0.5898 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5900 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5900 - acc: 0.75 - ETA: 19s - loss: 0.5899 - acc: 0.75 - ETA: 19s - loss: 0.5900 - acc: 0.75 - ETA: 19s - loss: 0.5900 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5900 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 18s - loss: 0.5901 - acc: 0.75 - ETA: 18s - loss: 0.5902 - acc: 0.75 - ETA: 17s - loss: 0.5902 - acc: 0.75 - ETA: 17s - loss: 0.5902 - acc: 0.75 - ETA: 17s - loss: 0.5902 - acc: 0.75 - ETA: 17s - loss: 0.5902 - acc: 0.75 - ETA: 17s - loss: 0.5903 - acc: 0.75 - ETA: 17s - loss: 0.5903 - acc: 0.75 - ETA: 17s - loss: 0.5903 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5905 - acc: 0.75 - ETA: 17s - loss: 0.5905 - acc: 0.75 - ETA: 17s - loss: 0.5905 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 17s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5903 - acc: 0.75 - ETA: 16s - loss: 0.5903 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5903 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5904 - acc: 0.75 - ETA: 16s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5904 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5903 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5902 - acc: 0.75 - ETA: 15s - loss: 0.5901 - acc: 0.75 - ETA: 15s - loss: 0.5901 - acc: 0.75 - ETA: 15s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5900 - acc: 0.75 - ETA: 14s - loss: 0.5900 - acc: 0.75 - ETA: 14s - loss: 0.5900 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5902 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5900 - acc: 0.75 - ETA: 14s - loss: 0.5900 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 14s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5900 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 13s - loss: 0.5902 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5903 - acc: 0.75 - ETA: 13s - loss: 0.5902 - acc: 0.75 - ETA: 13s - loss: 0.5902 - acc: 0.75 - ETA: 13s - loss: 0.5902 - acc: 0.75 - ETA: 13s - loss: 0.5901 - acc: 0.75 - ETA: 12s - loss: 0.5901 - acc: 0.75 - ETA: 12s - loss: 0.5902 - acc: 0.75 - ETA: 12s - loss: 0.5901 - acc: 0.75 - ETA: 12s - loss: 0.5901 - acc: 0.75 - ETA: 12s - loss: 0.5902 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5904 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5903 - acc: 0.75 - ETA: 12s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5903 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5904 - acc: 0.75 - ETA: 11s - loss: 0.5905 - acc: 0.75 - ETA: 11s - loss: 0.5905 - acc: 0.75 - ETA: 11s - loss: 0.5905 - acc: 0.75 - ETA: 11s - loss: 0.5905 - acc: 0.7559"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"494430/494430 [==============================] - ETA: 11s - loss: 0.5905 - acc: 0.75 - ETA: 11s - loss: 0.5905 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5906 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 10s - loss: 0.5907 - acc: 0.75 - ETA: 9s - loss: 0.5907 - acc: 0.7558 - ETA: 9s - loss: 0.5907 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5907 - acc: 0.755 - ETA: 9s - loss: 0.5907 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5908 - acc: 0.755 - ETA: 9s - loss: 0.5909 - acc: 0.755 - ETA: 9s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5908 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5908 - acc: 0.755 - ETA: 8s - loss: 0.5908 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5908 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5909 - acc: 0.755 - ETA: 8s - loss: 0.5908 - acc: 0.755 - ETA: 7s - loss: 0.5909 - acc: 0.755 - ETA: 7s - loss: 0.5909 - acc: 0.755 - ETA: 7s - loss: 0.5909 - acc: 0.755 - ETA: 7s - loss: 0.5909 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 7s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5908 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 6s - loss: 0.5909 - acc: 0.755 - ETA: 6s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5909 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5909 - acc: 0.755 - ETA: 5s - loss: 0.5909 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5910 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 5s - loss: 0.5911 - acc: 0.755 - ETA: 4s - loss: 0.5911 - acc: 0.755 - ETA: 4s - loss: 0.5911 - acc: 0.755 - ETA: 4s - loss: 0.5912 - acc: 0.755 - ETA: 4s - loss: 0.5912 - acc: 0.755 - ETA: 4s - loss: 0.5912 - acc: 0.755 - ETA: 4s - loss: 0.5913 - acc: 0.755 - ETA: 4s - loss: 0.5913 - acc: 0.755 - ETA: 4s - loss: 0.5914 - acc: 0.755 - ETA: 4s - loss: 0.5914 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5914 - acc: 0.755 - ETA: 4s - loss: 0.5914 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 4s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5914 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5916 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5916 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5916 - acc: 0.755 - ETA: 3s - loss: 0.5916 - acc: 0.755 - ETA: 3s - loss: 0.5916 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 3s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5914 - acc: 0.755 - ETA: 2s - loss: 0.5914 - acc: 0.755 - ETA: 2s - loss: 0.5914 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5915 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 2s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5916 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 1s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5916 - acc: 0.755 - ETA: 0s - loss: 0.5916 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5918 - acc: 0.755 - ETA: 0s - loss: 0.5918 - acc: 0.755 - ETA: 0s - loss: 0.5917 - acc: 0.755 - ETA: 0s - loss: 0.5918 - acc: 0.755 - ETA: 0s - loss: 0.5918 - acc: 0.755 - 62s 125us/step - loss: 0.5918 - acc: 0.7552 - val_loss: 0.6403 - val_acc: 0.7333\n",
"Epoch 3/5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"100500/494430 [=====>........................] - ETA: 2:55 - loss: 0.5459 - acc: 0.720 - ETA: 1:20 - loss: 0.5704 - acc: 0.750 - ETA: 1:09 - loss: 0.5590 - acc: 0.761 - ETA: 1:05 - loss: 0.5696 - acc: 0.763 - ETA: 1:03 - loss: 0.5757 - acc: 0.762 - ETA: 1:02 - loss: 0.5781 - acc: 0.763 - ETA: 1:01 - loss: 0.5777 - acc: 0.761 - ETA: 1:01 - loss: 0.5789 - acc: 0.759 - ETA: 1:01 - loss: 0.5766 - acc: 0.758 - ETA: 1:00 - loss: 0.5793 - acc: 0.755 - ETA: 1:00 - loss: 0.5804 - acc: 0.753 - ETA: 59s - loss: 0.5794 - acc: 0.754 - ETA: 1:00 - loss: 0.5791 - acc: 0.753 - ETA: 59s - loss: 0.5765 - acc: 0.754 - ETA: 59s - loss: 0.5768 - acc: 0.75 - ETA: 59s - loss: 0.5765 - acc: 0.75 - ETA: 59s - loss: 0.5752 - acc: 0.75 - ETA: 59s - loss: 0.5736 - acc: 0.75 - ETA: 59s - loss: 0.5757 - acc: 0.75 - ETA: 58s - loss: 0.5752 - acc: 0.75 - ETA: 58s - loss: 0.5744 - acc: 0.76 - ETA: 58s - loss: 0.5774 - acc: 0.75 - ETA: 58s - loss: 0.5791 - acc: 0.75 - ETA: 58s - loss: 0.5788 - acc: 0.75 - ETA: 58s - loss: 0.5790 - acc: 0.75 - ETA: 58s - loss: 0.5762 - acc: 0.75 - ETA: 58s - loss: 0.5753 - acc: 0.75 - ETA: 58s - loss: 0.5753 - acc: 0.75 - ETA: 58s - loss: 0.5765 - acc: 0.75 - ETA: 57s - loss: 0.5768 - acc: 0.75 - ETA: 57s - loss: 0.5769 - acc: 0.75 - ETA: 57s - loss: 0.5751 - acc: 0.75 - ETA: 57s - loss: 0.5754 - acc: 0.75 - ETA: 57s - loss: 0.5752 - acc: 0.75 - ETA: 57s - loss: 0.5734 - acc: 0.76 - ETA: 57s - loss: 0.5750 - acc: 0.75 - ETA: 57s - loss: 0.5755 - acc: 0.75 - ETA: 57s - loss: 0.5758 - acc: 0.76 - ETA: 57s - loss: 0.5762 - acc: 0.76 - ETA: 57s - loss: 0.5758 - acc: 0.76 - ETA: 57s - loss: 0.5759 - acc: 0.76 - ETA: 57s - loss: 0.5752 - acc: 0.76 - ETA: 57s - loss: 0.5759 - acc: 0.76 - ETA: 57s - loss: 0.5755 - acc: 0.76 - ETA: 57s - loss: 0.5742 - acc: 0.76 - ETA: 57s - loss: 0.5738 - acc: 0.76 - ETA: 57s - loss: 0.5739 - acc: 0.76 - ETA: 57s - loss: 0.5746 - acc: 0.76 - ETA: 57s - loss: 0.5740 - acc: 0.76 - ETA: 57s - loss: 0.5739 - acc: 0.76 - ETA: 57s - loss: 0.5730 - acc: 0.76 - ETA: 56s - loss: 0.5729 - acc: 0.76 - ETA: 56s - loss: 0.5742 - acc: 0.76 - ETA: 56s - loss: 0.5743 - acc: 0.76 - ETA: 56s - loss: 0.5743 - acc: 0.76 - ETA: 56s - loss: 0.5737 - acc: 0.76 - ETA: 56s - loss: 0.5737 - acc: 0.76 - ETA: 56s - loss: 0.5735 - acc: 0.76 - ETA: 56s - loss: 0.5740 - acc: 0.76 - ETA: 56s - loss: 0.5739 - acc: 0.76 - ETA: 56s - loss: 0.5738 - acc: 0.76 - ETA: 56s - loss: 0.5728 - acc: 0.76 - ETA: 56s - loss: 0.5729 - acc: 0.76 - ETA: 56s - loss: 0.5730 - acc: 0.76 - ETA: 56s - loss: 0.5734 - acc: 0.76 - ETA: 56s - loss: 0.5729 - acc: 0.76 - ETA: 56s - loss: 0.5728 - acc: 0.76 - ETA: 55s - loss: 0.5726 - acc: 0.76 - ETA: 56s - loss: 0.5721 - acc: 0.76 - ETA: 56s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5717 - acc: 0.76 - ETA: 55s - loss: 0.5724 - acc: 0.76 - ETA: 55s - loss: 0.5728 - acc: 0.76 - ETA: 55s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5729 - acc: 0.76 - ETA: 55s - loss: 0.5729 - acc: 0.76 - ETA: 55s - loss: 0.5724 - acc: 0.76 - ETA: 55s - loss: 0.5718 - acc: 0.76 - ETA: 55s - loss: 0.5714 - acc: 0.76 - ETA: 55s - loss: 0.5715 - acc: 0.76 - ETA: 55s - loss: 0.5716 - acc: 0.76 - ETA: 55s - loss: 0.5718 - acc: 0.76 - ETA: 55s - loss: 0.5716 - acc: 0.76 - ETA: 55s - loss: 0.5717 - acc: 0.76 - ETA: 55s - loss: 0.5721 - acc: 0.76 - ETA: 55s - loss: 0.5723 - acc: 0.76 - ETA: 55s - loss: 0.5720 - acc: 0.76 - ETA: 55s - loss: 0.5721 - acc: 0.76 - ETA: 54s - loss: 0.5719 - acc: 0.76 - ETA: 54s - loss: 0.5718 - acc: 0.76 - ETA: 54s - loss: 0.5715 - acc: 0.76 - ETA: 54s - loss: 0.5714 - acc: 0.76 - ETA: 54s - loss: 0.5711 - acc: 0.76 - ETA: 54s - loss: 0.5707 - acc: 0.76 - ETA: 54s - loss: 0.5702 - acc: 0.76 - ETA: 54s - loss: 0.5702 - acc: 0.76 - ETA: 54s - loss: 0.5701 - acc: 0.76 - ETA: 54s - loss: 0.5700 - acc: 0.76 - ETA: 54s - loss: 0.5700 - acc: 0.76 - ETA: 54s - loss: 0.5701 - acc: 0.76 - ETA: 54s - loss: 0.5699 - acc: 0.76 - ETA: 54s - loss: 0.5697 - acc: 0.76 - ETA: 54s - loss: 0.5692 - acc: 0.76 - ETA: 53s - loss: 0.5700 - acc: 0.76 - ETA: 53s - loss: 0.5703 - acc: 0.76 - ETA: 53s - loss: 0.5702 - acc: 0.76 - ETA: 53s - loss: 0.5697 - acc: 0.76 - ETA: 53s - loss: 0.5694 - acc: 0.76 - ETA: 53s - loss: 0.5692 - acc: 0.76 - ETA: 53s - loss: 0.5690 - acc: 0.76 - ETA: 53s - loss: 0.5687 - acc: 0.76 - ETA: 53s - loss: 0.5684 - acc: 0.76 - ETA: 53s - loss: 0.5687 - acc: 0.76 - ETA: 53s - loss: 0.5686 - acc: 0.76 - ETA: 53s - loss: 0.5686 - acc: 0.76 - ETA: 53s - loss: 0.5687 - acc: 0.76 - ETA: 53s - loss: 0.5686 - acc: 0.76 - ETA: 53s - loss: 0.5685 - acc: 0.76 - ETA: 53s - loss: 0.5682 - acc: 0.76 - ETA: 52s - loss: 0.5681 - acc: 0.76 - ETA: 52s - loss: 0.5679 - acc: 0.76 - ETA: 52s - loss: 0.5681 - acc: 0.76 - ETA: 52s - loss: 0.5679 - acc: 0.76 - ETA: 52s - loss: 0.5684 - acc: 0.76 - ETA: 52s - loss: 0.5685 - acc: 0.76 - ETA: 52s - loss: 0.5687 - acc: 0.76 - ETA: 52s - loss: 0.5688 - acc: 0.76 - ETA: 52s - loss: 0.5685 - acc: 0.76 - ETA: 52s - loss: 0.5685 - acc: 0.76 - ETA: 52s - loss: 0.5682 - acc: 0.76 - ETA: 52s - loss: 0.5683 - acc: 0.76 - ETA: 52s - loss: 0.5683 - acc: 0.76 - ETA: 52s - loss: 0.5685 - acc: 0.76 - ETA: 51s - loss: 0.5687 - acc: 0.76 - ETA: 51s - loss: 0.5685 - acc: 0.76 - ETA: 51s - loss: 0.5684 - acc: 0.76 - ETA: 51s - loss: 0.5680 - acc: 0.76 - ETA: 51s - loss: 0.5679 - acc: 0.76 - ETA: 51s - loss: 0.5680 - acc: 0.76 - ETA: 51s - loss: 0.5682 - acc: 0.76 - ETA: 51s - loss: 0.5683 - acc: 0.76 - ETA: 51s - loss: 0.5679 - acc: 0.76 - ETA: 51s - loss: 0.5680 - acc: 0.76 - ETA: 51s - loss: 0.5677 - acc: 0.76 - ETA: 51s - loss: 0.5683 - acc: 0.76 - ETA: 51s - loss: 0.5686 - acc: 0.76 - ETA: 51s - loss: 0.5686 - acc: 0.76 - ETA: 50s - loss: 0.5691 - acc: 0.76 - ETA: 50s - loss: 0.5689 - acc: 0.76 - ETA: 50s - loss: 0.5692 - acc: 0.76 - ETA: 50s - loss: 0.5692 - acc: 0.76 - ETA: 50s - loss: 0.5691 - acc: 0.76 - ETA: 50s - loss: 0.5692 - acc: 0.76 - ETA: 50s - loss: 0.5694 - acc: 0.76 - ETA: 50s - loss: 0.5697 - acc: 0.76 - ETA: 50s - loss: 0.5695 - acc: 0.76 - ETA: 50s - loss: 0.5689 - acc: 0.76 - ETA: 50s - loss: 0.5688 - acc: 0.76 - ETA: 50s - loss: 0.5691 - acc: 0.76 - ETA: 50s - loss: 0.5692 - acc: 0.76 - ETA: 50s - loss: 0.5695 - acc: 0.76 - ETA: 50s - loss: 0.5696 - acc: 0.76 - ETA: 50s - loss: 0.5696 - acc: 0.76 - ETA: 50s - loss: 0.5695 - acc: 0.76 - ETA: 50s - loss: 0.5694 - acc: 0.76 - ETA: 49s - loss: 0.5695 - acc: 0.76 - ETA: 49s - loss: 0.5691 - acc: 0.76 - ETA: 49s - loss: 0.5693 - acc: 0.76 - ETA: 49s - loss: 0.5695 - acc: 0.76 - ETA: 49s - loss: 0.5694 - acc: 0.76 - ETA: 49s - loss: 0.5692 - acc: 0.76 - ETA: 49s - loss: 0.5692 - acc: 0.76 - ETA: 49s - loss: 0.5691 - acc: 0.76 - ETA: 49s - loss: 0.5693 - acc: 0.76 - ETA: 49s - loss: 0.5694 - acc: 0.76 - ETA: 49s - loss: 0.5695 - acc: 0.76 - ETA: 49s - loss: 0.5695 - acc: 0.76 - ETA: 49s - loss: 0.5701 - acc: 0.76 - ETA: 49s - loss: 0.5701 - acc: 0.76 - ETA: 49s - loss: 0.5700 - acc: 0.76 - ETA: 49s - loss: 0.5703 - acc: 0.76 - ETA: 48s - loss: 0.5704 - acc: 0.76 - ETA: 48s - loss: 0.5702 - acc: 0.76 - ETA: 48s - loss: 0.5705 - acc: 0.76 - ETA: 48s - loss: 0.5706 - acc: 0.76 - ETA: 48s - loss: 0.5706 - acc: 0.76 - ETA: 48s - loss: 0.5705 - acc: 0.76 - ETA: 48s - loss: 0.5705 - acc: 0.76 - ETA: 48s - loss: 0.5706 - acc: 0.76 - ETA: 48s - loss: 0.5708 - acc: 0.76 - ETA: 48s - loss: 0.5712 - acc: 0.76 - ETA: 48s - loss: 0.5710 - acc: 0.76 - ETA: 48s - loss: 0.5710 - acc: 0.76 - ETA: 48s - loss: 0.5713 - acc: 0.76 - ETA: 48s - loss: 0.5714 - acc: 0.76 - ETA: 48s - loss: 0.5717 - acc: 0.76 - ETA: 48s - loss: 0.5722 - acc: 0.76 - ETA: 48s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5721 - acc: 0.76 - ETA: 47s - loss: 0.5723 - acc: 0.76 - ETA: 47s - loss: 0.5722 - acc: 0.76 - ETA: 47s - loss: 0.5722 - acc: 0.76 - ETA: 47s - loss: 0.5722 - acc: 0.76 - ETA: 47s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5718 - acc: 0.76 - ETA: 47s - loss: 0.5719 - acc: 0.76 - ETA: 47s - loss: 0.5722 - acc: 0.76 - ETA: 47s - loss: 0.5720 - acc: 0.76 - ETA: 47s - loss: 0.5719 - acc: 0.76 - ETA: 47s - loss: 0.5718 - acc: 0.7639201200/494430 [===========>..................] - ETA: 47s - loss: 0.5717 - acc: 0.76 - ETA: 47s - loss: 0.5715 - acc: 0.76 - ETA: 46s - loss: 0.5713 - acc: 0.76 - ETA: 46s - loss: 0.5715 - acc: 0.76 - ETA: 46s - loss: 0.5714 - acc: 0.76 - ETA: 46s - loss: 0.5714 - acc: 0.76 - ETA: 46s - loss: 0.5713 - acc: 0.76 - ETA: 46s - loss: 0.5711 - acc: 0.76 - ETA: 46s - loss: 0.5711 - acc: 0.76 - ETA: 46s - loss: 0.5711 - acc: 0.76 - ETA: 46s - loss: 0.5710 - acc: 0.76 - ETA: 46s - loss: 0.5710 - acc: 0.76 - ETA: 46s - loss: 0.5711 - acc: 0.76 - ETA: 46s - loss: 0.5710 - acc: 0.76 - ETA: 46s - loss: 0.5712 - acc: 0.76 - ETA: 46s - loss: 0.5713 - acc: 0.76 - ETA: 46s - loss: 0.5714 - acc: 0.76 - ETA: 45s - loss: 0.5713 - acc: 0.76 - ETA: 45s - loss: 0.5713 - acc: 0.76 - ETA: 45s - loss: 0.5715 - acc: 0.76 - ETA: 45s - loss: 0.5714 - acc: 0.76 - ETA: 45s - loss: 0.5715 - acc: 0.76 - ETA: 45s - loss: 0.5715 - acc: 0.76 - ETA: 45s - loss: 0.5715 - acc: 0.76 - ETA: 45s - loss: 0.5711 - acc: 0.76 - ETA: 45s - loss: 0.5710 - acc: 0.76 - ETA: 45s - loss: 0.5709 - acc: 0.76 - ETA: 45s - loss: 0.5707 - acc: 0.76 - ETA: 45s - loss: 0.5707 - acc: 0.76 - ETA: 45s - loss: 0.5707 - acc: 0.76 - ETA: 45s - loss: 0.5707 - acc: 0.76 - ETA: 45s - loss: 0.5708 - acc: 0.76 - ETA: 45s - loss: 0.5708 - acc: 0.76 - ETA: 44s - loss: 0.5708 - acc: 0.76 - ETA: 44s - loss: 0.5708 - acc: 0.76 - ETA: 44s - loss: 0.5707 - acc: 0.76 - ETA: 44s - loss: 0.5704 - acc: 0.76 - ETA: 44s - loss: 0.5703 - acc: 0.76 - ETA: 44s - loss: 0.5703 - acc: 0.76 - ETA: 44s - loss: 0.5704 - acc: 0.76 - ETA: 44s - loss: 0.5704 - acc: 0.76 - ETA: 44s - loss: 0.5705 - acc: 0.76 - ETA: 44s - loss: 0.5706 - acc: 0.76 - ETA: 44s - loss: 0.5705 - acc: 0.76 - ETA: 44s - loss: 0.5708 - acc: 0.76 - ETA: 44s - loss: 0.5708 - acc: 0.76 - ETA: 44s - loss: 0.5705 - acc: 0.76 - ETA: 44s - loss: 0.5704 - acc: 0.76 - ETA: 44s - loss: 0.5701 - acc: 0.76 - ETA: 44s - loss: 0.5703 - acc: 0.76 - ETA: 44s - loss: 0.5704 - acc: 0.76 - ETA: 43s - loss: 0.5706 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5707 - acc: 0.76 - ETA: 43s - loss: 0.5706 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5706 - acc: 0.76 - ETA: 43s - loss: 0.5708 - acc: 0.76 - ETA: 43s - loss: 0.5708 - acc: 0.76 - ETA: 43s - loss: 0.5706 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5704 - acc: 0.76 - ETA: 43s - loss: 0.5703 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 43s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5704 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5707 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5706 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5704 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 42s - loss: 0.5707 - acc: 0.76 - ETA: 42s - loss: 0.5706 - acc: 0.76 - ETA: 42s - loss: 0.5706 - acc: 0.76 - ETA: 42s - loss: 0.5706 - acc: 0.76 - ETA: 42s - loss: 0.5707 - acc: 0.76 - ETA: 42s - loss: 0.5706 - acc: 0.76 - ETA: 42s - loss: 0.5704 - acc: 0.76 - ETA: 42s - loss: 0.5705 - acc: 0.76 - ETA: 41s - loss: 0.5705 - acc: 0.76 - ETA: 41s - loss: 0.5704 - acc: 0.76 - ETA: 41s - loss: 0.5703 - acc: 0.76 - ETA: 41s - loss: 0.5703 - acc: 0.76 - ETA: 41s - loss: 0.5704 - acc: 0.76 - ETA: 41s - loss: 0.5703 - acc: 0.76 - ETA: 41s - loss: 0.5703 - acc: 0.76 - ETA: 41s - loss: 0.5705 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 41s - loss: 0.5707 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 41s - loss: 0.5711 - acc: 0.76 - ETA: 41s - loss: 0.5710 - acc: 0.76 - ETA: 41s - loss: 0.5709 - acc: 0.76 - ETA: 41s - loss: 0.5710 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 41s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5710 - acc: 0.76 - ETA: 40s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5707 - acc: 0.76 - ETA: 40s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5706 - acc: 0.76 - ETA: 40s - loss: 0.5707 - acc: 0.76 - ETA: 40s - loss: 0.5707 - acc: 0.76 - ETA: 40s - loss: 0.5707 - acc: 0.76 - ETA: 40s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5708 - acc: 0.76 - ETA: 40s - loss: 0.5710 - acc: 0.76 - ETA: 40s - loss: 0.5710 - acc: 0.76 - ETA: 40s - loss: 0.5711 - acc: 0.76 - ETA: 40s - loss: 0.5710 - acc: 0.76 - ETA: 40s - loss: 0.5710 - acc: 0.76 - ETA: 40s - loss: 0.5711 - acc: 0.76 - ETA: 40s - loss: 0.5711 - acc: 0.76 - ETA: 39s - loss: 0.5710 - acc: 0.76 - ETA: 39s - loss: 0.5709 - acc: 0.76 - ETA: 39s - loss: 0.5709 - acc: 0.76 - ETA: 39s - loss: 0.5706 - acc: 0.76 - ETA: 39s - loss: 0.5708 - acc: 0.76 - ETA: 39s - loss: 0.5705 - acc: 0.76 - ETA: 39s - loss: 0.5704 - acc: 0.76 - ETA: 39s - loss: 0.5705 - acc: 0.76 - ETA: 39s - loss: 0.5706 - acc: 0.76 - ETA: 39s - loss: 0.5705 - acc: 0.76 - ETA: 39s - loss: 0.5706 - acc: 0.76 - ETA: 39s - loss: 0.5706 - acc: 0.76 - ETA: 39s - loss: 0.5707 - acc: 0.76 - ETA: 39s - loss: 0.5708 - acc: 0.76 - ETA: 39s - loss: 0.5708 - acc: 0.76 - ETA: 39s - loss: 0.5708 - acc: 0.76 - ETA: 39s - loss: 0.5711 - acc: 0.76 - ETA: 39s - loss: 0.5711 - acc: 0.76 - ETA: 39s - loss: 0.5713 - acc: 0.76 - ETA: 38s - loss: 0.5713 - acc: 0.76 - ETA: 38s - loss: 0.5714 - acc: 0.76 - ETA: 38s - loss: 0.5713 - acc: 0.76 - ETA: 38s - loss: 0.5713 - acc: 0.76 - ETA: 38s - loss: 0.5712 - acc: 0.76 - ETA: 38s - loss: 0.5713 - acc: 0.76 - ETA: 38s - loss: 0.5714 - acc: 0.76 - ETA: 38s - loss: 0.5715 - acc: 0.76 - ETA: 38s - loss: 0.5715 - acc: 0.76 - ETA: 38s - loss: 0.5715 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5716 - acc: 0.76 - ETA: 38s - loss: 0.5716 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5717 - acc: 0.76 - ETA: 38s - loss: 0.5718 - acc: 0.76 - ETA: 38s - loss: 0.5719 - acc: 0.76 - ETA: 37s - loss: 0.5718 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5718 - acc: 0.76 - ETA: 37s - loss: 0.5718 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5716 - acc: 0.76 - ETA: 37s - loss: 0.5715 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5718 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5717 - acc: 0.76 - ETA: 37s - loss: 0.5718 - acc: 0.76 - ETA: 36s - loss: 0.5717 - acc: 0.76 - ETA: 36s - loss: 0.5717 - acc: 0.76 - ETA: 36s - loss: 0.5716 - acc: 0.76 - ETA: 36s - loss: 0.5717 - acc: 0.76 - ETA: 36s - loss: 0.5716 - acc: 0.76 - ETA: 36s - loss: 0.5717 - acc: 0.76 - ETA: 36s - loss: 0.5718 - acc: 0.76 - ETA: 36s - loss: 0.5718 - acc: 0.76 - ETA: 36s - loss: 0.5719 - acc: 0.76 - ETA: 36s - loss: 0.5722 - acc: 0.76 - ETA: 36s - loss: 0.5721 - acc: 0.76 - ETA: 36s - loss: 0.5721 - acc: 0.76 - ETA: 36s - loss: 0.5721 - acc: 0.76 - ETA: 36s - loss: 0.5722 - acc: 0.76 - ETA: 36s - loss: 0.5721 - acc: 0.76 - ETA: 36s - loss: 0.5723 - acc: 0.76 - ETA: 36s - loss: 0.5722 - acc: 0.76 - ETA: 36s - loss: 0.5723 - acc: 0.76 - ETA: 36s - loss: 0.5722 - acc: 0.76 - ETA: 36s - loss: 0.5721 - acc: 0.76 - ETA: 35s - loss: 0.5720 - acc: 0.76 - ETA: 35s - loss: 0.5721 - acc: 0.76 - ETA: 35s - loss: 0.5721 - acc: 0.76 - ETA: 35s - loss: 0.5720 - acc: 0.76 - ETA: 35s - loss: 0.5722 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5722 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5724 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5723 - acc: 0.7639"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"301700/494430 [=================>............] - ETA: 35s - loss: 0.5723 - acc: 0.76 - ETA: 35s - loss: 0.5724 - acc: 0.76 - ETA: 35s - loss: 0.5724 - acc: 0.76 - ETA: 34s - loss: 0.5723 - acc: 0.76 - ETA: 34s - loss: 0.5725 - acc: 0.76 - ETA: 34s - loss: 0.5726 - acc: 0.76 - ETA: 34s - loss: 0.5726 - acc: 0.76 - ETA: 34s - loss: 0.5727 - acc: 0.76 - ETA: 34s - loss: 0.5727 - acc: 0.76 - ETA: 34s - loss: 0.5727 - acc: 0.76 - ETA: 34s - loss: 0.5726 - acc: 0.76 - ETA: 34s - loss: 0.5727 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5727 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5729 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5728 - acc: 0.76 - ETA: 34s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5731 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5729 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5731 - acc: 0.76 - ETA: 33s - loss: 0.5731 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 33s - loss: 0.5730 - acc: 0.76 - ETA: 32s - loss: 0.5730 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5730 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5730 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5729 - acc: 0.76 - ETA: 32s - loss: 0.5728 - acc: 0.76 - ETA: 32s - loss: 0.5727 - acc: 0.76 - ETA: 32s - loss: 0.5725 - acc: 0.76 - ETA: 32s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5725 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5727 - acc: 0.76 - ETA: 31s - loss: 0.5727 - acc: 0.76 - ETA: 31s - loss: 0.5727 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5727 - acc: 0.76 - ETA: 31s - loss: 0.5727 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 31s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5724 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5726 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 30s - loss: 0.5725 - acc: 0.76 - ETA: 29s - loss: 0.5726 - acc: 0.76 - ETA: 29s - loss: 0.5726 - acc: 0.76 - ETA: 29s - loss: 0.5727 - acc: 0.76 - ETA: 29s - loss: 0.5726 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5727 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5729 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5727 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 29s - loss: 0.5729 - acc: 0.76 - ETA: 29s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5729 - acc: 0.76 - ETA: 28s - loss: 0.5729 - acc: 0.76 - ETA: 28s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5727 - acc: 0.76 - ETA: 28s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5728 - acc: 0.76 - ETA: 28s - loss: 0.5729 - acc: 0.76 - ETA: 28s - loss: 0.5730 - acc: 0.76 - ETA: 28s - loss: 0.5731 - acc: 0.76 - ETA: 28s - loss: 0.5732 - acc: 0.76 - ETA: 28s - loss: 0.5733 - acc: 0.76 - ETA: 28s - loss: 0.5734 - acc: 0.76 - ETA: 28s - loss: 0.5734 - acc: 0.76 - ETA: 28s - loss: 0.5734 - acc: 0.76 - ETA: 28s - loss: 0.5734 - acc: 0.76 - ETA: 28s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5736 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5734 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5734 - acc: 0.76 - ETA: 27s - loss: 0.5733 - acc: 0.76 - ETA: 27s - loss: 0.5734 - acc: 0.76 - ETA: 27s - loss: 0.5734 - acc: 0.76 - ETA: 27s - loss: 0.5734 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5736 - acc: 0.76 - ETA: 27s - loss: 0.5735 - acc: 0.76 - ETA: 27s - loss: 0.5736 - acc: 0.76 - ETA: 27s - loss: 0.5736 - acc: 0.76 - ETA: 27s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5736 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5736 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5736 - acc: 0.76 - ETA: 26s - loss: 0.5736 - acc: 0.76 - ETA: 26s - loss: 0.5736 - acc: 0.76 - ETA: 26s - loss: 0.5738 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 26s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5738 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5735 - acc: 0.76 - ETA: 25s - loss: 0.5735 - acc: 0.76 - ETA: 25s - loss: 0.5735 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5736 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 25s - loss: 0.5737 - acc: 0.76 - ETA: 24s - loss: 0.5738 - acc: 0.76 - ETA: 24s - loss: 0.5738 - acc: 0.76 - ETA: 24s - loss: 0.5739 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5741 - acc: 0.76 - ETA: 24s - loss: 0.5742 - acc: 0.76 - ETA: 24s - loss: 0.5741 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5740 - acc: 0.76 - ETA: 24s - loss: 0.5741 - acc: 0.76 - ETA: 23s - loss: 0.5741 - acc: 0.76 - ETA: 23s - loss: 0.5741 - acc: 0.76 - ETA: 23s - loss: 0.5742 - acc: 0.76 - ETA: 23s - loss: 0.5742 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 23s - loss: 0.5744 - acc: 0.76 - ETA: 23s - loss: 0.5744 - acc: 0.76 - ETA: 23s - loss: 0.5745 - acc: 0.76 - ETA: 23s - loss: 0.5744 - acc: 0.76 - ETA: 23s - loss: 0.5744 - acc: 0.76 - ETA: 23s - loss: 0.5744 - acc: 0.76 - ETA: 23s - loss: 0.5743 - acc: 0.7628"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"348000/494430 [====================>.........] - ETA: 23s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5745 - acc: 0.76 - ETA: 22s - loss: 0.5745 - acc: 0.76 - ETA: 22s - loss: 0.5745 - acc: 0.76 - ETA: 22s - loss: 0.5745 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5744 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 22s - loss: 0.5743 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5744 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5746 - acc: 0.76 - ETA: 21s - loss: 0.5745 - acc: 0.76 - ETA: 21s - loss: 0.5746 - acc: 0.76 - ETA: 21s - loss: 0.5746 - acc: 0.76 - ETA: 21s - loss: 0.5746 - acc: 0.76 - ETA: 21s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5746 - acc: 0.76 - ETA: 20s - loss: 0.5747 - acc: 0.76 - ETA: 20s - loss: 0.5747 - acc: 0.76 - ETA: 20s - loss: 0.5747 - acc: 0.76 - ETA: 20s - loss: 0.5748 - acc: 0.76 - ETA: 20s - loss: 0.5748 - acc: 0.76 - ETA: 20s - loss: 0.5748 - acc: 0.76 - ETA: 20s - loss: 0.5749 - acc: 0.76 - ETA: 20s - loss: 0.5748 - acc: 0.76 - ETA: 20s - loss: 0.5749 - acc: 0.76 - ETA: 20s - loss: 0.5749 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5749 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5747 - acc: 0.76 - ETA: 19s - loss: 0.5747 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5747 - acc: 0.76 - ETA: 19s - loss: 0.5747 - acc: 0.76 - ETA: 19s - loss: 0.5747 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5748 - acc: 0.76 - ETA: 19s - loss: 0.5749 - acc: 0.76 - ETA: 19s - loss: 0.5749 - acc: 0.76 - ETA: 19s - loss: 0.5750 - acc: 0.76 - ETA: 19s - loss: 0.5750 - acc: 0.76 - ETA: 18s - loss: 0.5751 - acc: 0.76 - ETA: 18s - loss: 0.5751 - acc: 0.76 - ETA: 18s - loss: 0.5750 - acc: 0.76 - ETA: 18s - loss: 0.5750 - acc: 0.76 - ETA: 18s - loss: 0.5751 - acc: 0.76 - ETA: 18s - loss: 0.5752 - acc: 0.76 - ETA: 18s - loss: 0.5752 - acc: 0.76 - ETA: 18s - loss: 0.5752 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5752 - acc: 0.76 - ETA: 18s - loss: 0.5752 - acc: 0.76 - ETA: 18s - loss: 0.5753 - acc: 0.76 - ETA: 18s - loss: 0.5754 - acc: 0.76 - ETA: 18s - loss: 0.5756 - acc: 0.76 - ETA: 17s - loss: 0.5756 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5757 - acc: 0.76 - ETA: 17s - loss: 0.5758 - acc: 0.7618"
]
}
],
"source": [
"model.fit([train_x1, train_x2], y, epochs=5, batch_size=100, verbose=1, validation_split=0.1, shuffle=True, callbacks=[callbacc])"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [],
"source": [
"df_test = pd.read_json('./snli_1.0/snli_1.0_test.jsonl', lines=True)"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {},
"outputs": [],
"source": [
"model.save('81.h5')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"import keras\n",
"callbacc = keras.callbacks.ModelCheckpoint('./bes1t.h5', save_best_only=True)"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"model.save('len_20_embed_100.h5')"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def process_text(input1, input2):\n",
" input1 = text_to_word_sequence(input1)\n",
" input2 = text_to_word_sequence(input2)\n",
" \n",
" input1 = np.array(vocabulary.doc2idx(input1)) + 1\n",
" input2 = np.array(vocabulary.doc2idx(input2)) + 1\n",
" \n",
" input1 = pad_sequences([input1], maxlen=20)\n",
" input2 = pad_sequences([input2], maxlen=20)\n",
" \n",
" return input1, input2"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [],
"source": [
"def preprocess(texts):\n",
" texts = [text_to_word_sequence(text) for text in texts]\n",
" text_input = [ vocabulary.doc2idx(sent) for sent in texts ]\n",
" texts = pad_sequences(text_input, 20)\n",
" return texts"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [],
"source": [
"sent1 = preprocess(df_test['sentence1'])\n",
"sent2 = preprocess(df_test['sentence2'])"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [],
"source": [
"output = model.predict([sent1, sent2])"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [],
"source": [
"test_out = np.argmax(output, axis=1)\n",
"label_dict = {\n",
" 'contradiction' : 0,\n",
" 'entailment' : 1,\n",
" 'neutral' : 2,\n",
" '-' : 3\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [],
"source": [
"labels = np.array(df_test['gold_label'].replace(label_dict))"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(4061,)"
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.where(test_out == labels)[0].shape"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n",
" dtype=int64)"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"labels[labels == 3]"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"one = 'Two doctors perform surgery on patient'\n",
"two = 'doctors are performing surgery'\n",
"one, two =process_text(one, two)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0.0213112 , 0.7434945 , 0.23519428]], dtype=float32)"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.predict([one, two])"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_json('./2m_sentence.json')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>annotator_labels</th>\n",
" <th>gold_label</th>\n",
" <th>sentence1</th>\n",
" <th>sentence2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A person on a horse jumps over a broken down a...</td>\n",
" <td>A person is training his horse for a competition.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A person on a horse jumps over a broken down a...</td>\n",
" <td>A person is at a diner, ordering an omelette.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>An older man sits with his orange juice at a s...</td>\n",
" <td>A boy flips a burger.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A woman is walking across the street eating a ...</td>\n",
" <td>the woman is a seductress</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1000</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Two barefoot men are playing on a green lawn o...</td>\n",
" <td>Two men in sandles are on the beach.</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" annotator_labels gold_label \\\n",
"0 [neutral] neutral \n",
"1 [contradiction] contradiction \n",
"10 [contradiction] contradiction \n",
"100 [neutral] neutral \n",
"1000 [contradiction] contradiction \n",
"\n",
" sentence1 \\\n",
"0 A person on a horse jumps over a broken down a... \n",
"1 A person on a horse jumps over a broken down a... \n",
"10 An older man sits with his orange juice at a s... \n",
"100 A woman is walking across the street eating a ... \n",
"1000 Two barefoot men are playing on a green lawn o... \n",
"\n",
" sentence2 \n",
"0 A person is training his horse for a competition. \n",
"1 A person is at a diner, ordering an omelette. \n",
"10 A boy flips a burger. \n",
"100 the woman is a seductress \n",
"1000 Two men in sandles are on the beach. "
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'There are people in the woods.'"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['sentence2'][279982]"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"label_dict = {\n",
" 'contradiction' : 0,\n",
" 'entailment' : 1,\n",
" 'neutral' : 2,\n",
" '-' : 3\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>annotator_labels</th>\n",
" <th>gold_label</th>\n",
" <th>sentence1</th>\n",
" <th>sentence2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A person on a horse jumps over a broken down a...</td>\n",
" <td>A person is training his horse for a competition.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A person on a horse jumps over a broken down a...</td>\n",
" <td>A person is at a diner, ordering an omelette.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>An older man sits with his orange juice at a s...</td>\n",
" <td>A boy flips a burger.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A woman is walking across the street eating a ...</td>\n",
" <td>the woman is a seductress</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1000</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Two barefoot men are playing on a green lawn o...</td>\n",
" <td>Two men in sandles are on the beach.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10000</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Baby in a lavender onesie lying on a pastel gr...</td>\n",
" <td>The baby has just learned to walk.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100000</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A man strikes a pose on a dock with a cruise s...</td>\n",
" <td>No ships are visible.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100001</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A man strikes a pose on a dock with a cruise s...</td>\n",
" <td>A human striking a great pose.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100002</th>\n",
" <td>[contradiction, contradiction, neutral, contra...</td>\n",
" <td>contradiction</td>\n",
" <td>Man dressed in black dancing on a pier while p...</td>\n",
" <td>The man dressed in blue danced on a pier.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100003</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Man dressed in black dancing on a pier while p...</td>\n",
" <td>The man was seen from the boat.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100004</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Man dressed in black dancing on a pier while p...</td>\n",
" <td>The man dressed in black performed music while...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100005</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A guy wearing a black attire is doing ballet i...</td>\n",
" <td>A man is dancing near the water.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100006</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A guy wearing a black attire is doing ballet i...</td>\n",
" <td>A man is performing at an outdoors concert.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100007</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A guy wearing a black attire is doing ballet i...</td>\n",
" <td>A man is buying a plane ticket.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100008</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>One man dressed in black is stretching his leg...</td>\n",
" <td>A man goes through his tai chi routine in the ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100009</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>One man dressed in black is stretching his leg...</td>\n",
" <td>A lady in red is stretching her leg out in fro...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10001</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Baby in a lavender onesie lying on a pastel gr...</td>\n",
" <td>The baby is not happy right now.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100010</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>One man dressed in black is stretching his leg...</td>\n",
" <td>A male wearing clothing is near a ship.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100011</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Two fireman standing next to each other in fro...</td>\n",
" <td>Two males standing outside..</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100012</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Two fireman standing next to each other in fro...</td>\n",
" <td>Two firemen together near the bush.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100013</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Two fireman standing next to each other in fro...</td>\n",
" <td>Two males seated in a hotel lobby.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100014</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Female musician pauses her guitar playing to e...</td>\n",
" <td>The female is eating noodles in bed.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100015</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Female musician pauses her guitar playing to e...</td>\n",
" <td>The female guitar player pauses to look at the...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100016</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Female musician pauses her guitar playing to e...</td>\n",
" <td>The female guitar player's fingers hurt</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100017</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A man dancing in front of a docked cruise ship.</td>\n",
" <td>A man sitting on a bench watching a cruise ship.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100018</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A man dancing in front of a docked cruise ship.</td>\n",
" <td>A man outside.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100019</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A man dancing in front of a docked cruise ship.</td>\n",
" <td>A man break dancing in front of a docked cruis...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10002</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A baby wearing a purple outfit and laying on a...</td>\n",
" <td>An infant cries during a picnic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100020</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Two people in brown uniforms playing in a socc...</td>\n",
" <td>They get some exercise</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100021</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Two people in brown uniforms playing in a socc...</td>\n",
" <td>One man prepares to pass the ball</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279971</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The family is on a camping trip.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279972</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>There is an outdoor class being held.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279973</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The adults are sitting next to the children.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279974</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The people are swimming in the bathtub.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279975</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>A bear is attacking children in the woods whil...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279976</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>Children are sitting.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279977</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>There are both children and adults in a group ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279978</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The children write stories in notebooks.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279979</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>Children are writing.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27998</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A blond female in a striped shirt points at so...</td>\n",
" <td>The female is wearing a beanie.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279980</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The children and adults wait inside near a woo...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279981</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>The wooded area was full of animals.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279982</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>There are people in the woods.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279983</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of people are gathered in a wooded are...</td>\n",
" <td>A scout troop writes while the leaders watch.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279984</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Two children bounce on a trampoline.</td>\n",
" <td>Children are playing hot potato.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279985</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Two children bounce on a trampoline.</td>\n",
" <td>A man is jumping in the snow.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279986</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Two children bounce on a trampoline.</td>\n",
" <td>Children are on the trampoline.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279987</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Asian little boy with spiky hair and yellow sh...</td>\n",
" <td>The boy is playing in the sand.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279988</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Asian little boy with spiky hair and yellow sh...</td>\n",
" <td>The male child is on a beach.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279989</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Asian little boy with spiky hair and yellow sh...</td>\n",
" <td>The little hispanic girl sits on the beach.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27999</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A beautiful view of the mountains on a snowy day.</td>\n",
" <td>A beautiful view of the mountains on a sunny a...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279990</th>\n",
" <td>[neutral, neutral, neutral, entailment, neutral]</td>\n",
" <td>neutral</td>\n",
" <td>Boy in yellow tank top laughing on a beach.</td>\n",
" <td>A boy laughing at the sounds on the beach.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279991</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>Boy in yellow tank top laughing on a beach.</td>\n",
" <td>A boy on a beach.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279992</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>Boy in yellow tank top laughing on a beach.</td>\n",
" <td>A boy in a yellow shirt.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279993</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A group of backpackers take a break under a ne...</td>\n",
" <td>The backpackers take a break in a cottage.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279994</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A group of backpackers take a break under a ne...</td>\n",
" <td>The hikers sit under a tree still wearing thei...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279995</th>\n",
" <td>[entailment]</td>\n",
" <td>entailment</td>\n",
" <td>A group of backpackers take a break under a ne...</td>\n",
" <td>A bunch of people rest under a tree.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279996</th>\n",
" <td>[contradiction]</td>\n",
" <td>contradiction</td>\n",
" <td>A baseball player in gray is getting ready to ...</td>\n",
" <td>girl eats pineapple</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279997</th>\n",
" <td>[entailment, entailment, entailment, entailmen...</td>\n",
" <td>entailment</td>\n",
" <td>A baseball player in gray is getting ready to ...</td>\n",
" <td>person plays baseball</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279998</th>\n",
" <td>[neutral]</td>\n",
" <td>neutral</td>\n",
" <td>A baseball player in gray is getting ready to ...</td>\n",
" <td>baseball playoff game</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>200000 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" annotator_labels gold_label \\\n",
"0 [neutral] neutral \n",
"1 [contradiction] contradiction \n",
"10 [contradiction] contradiction \n",
"100 [neutral] neutral \n",
"1000 [contradiction] contradiction \n",
"10000 [contradiction] contradiction \n",
"100000 [contradiction] contradiction \n",
"100001 [neutral] neutral \n",
"100002 [contradiction, contradiction, neutral, contra... contradiction \n",
"100003 [entailment] entailment \n",
"100004 [neutral] neutral \n",
"100005 [entailment] entailment \n",
"100006 [neutral] neutral \n",
"100007 [contradiction] contradiction \n",
"100008 [neutral] neutral \n",
"100009 [contradiction] contradiction \n",
"10001 [entailment] entailment \n",
"100010 [entailment] entailment \n",
"100011 [neutral] neutral \n",
"100012 [entailment] entailment \n",
"100013 [contradiction] contradiction \n",
"100014 [contradiction] contradiction \n",
"100015 [entailment] entailment \n",
"100016 [neutral] neutral \n",
"100017 [contradiction] contradiction \n",
"100018 [entailment] entailment \n",
"100019 [neutral] neutral \n",
"10002 [neutral] neutral \n",
"100020 [entailment] entailment \n",
"100021 [neutral] neutral \n",
"... ... ... \n",
"279971 [neutral] neutral \n",
"279972 [neutral] neutral \n",
"279973 [contradiction] contradiction \n",
"279974 [contradiction] contradiction \n",
"279975 [contradiction] contradiction \n",
"279976 [entailment] entailment \n",
"279977 [entailment] entailment \n",
"279978 [neutral] neutral \n",
"279979 [entailment] entailment \n",
"27998 [neutral] neutral \n",
"279980 [contradiction] contradiction \n",
"279981 [neutral] neutral \n",
"279982 [entailment] entailment \n",
"279983 [neutral] neutral \n",
"279984 [neutral] neutral \n",
"279985 [contradiction] contradiction \n",
"279986 [entailment] entailment \n",
"279987 [neutral] neutral \n",
"279988 [entailment] entailment \n",
"279989 [contradiction] contradiction \n",
"27999 [neutral] neutral \n",
"279990 [neutral, neutral, neutral, entailment, neutral] neutral \n",
"279991 [entailment] entailment \n",
"279992 [contradiction] contradiction \n",
"279993 [contradiction] contradiction \n",
"279994 [neutral] neutral \n",
"279995 [entailment] entailment \n",
"279996 [contradiction] contradiction \n",
"279997 [entailment, entailment, entailment, entailmen... entailment \n",
"279998 [neutral] neutral \n",
"\n",
" sentence1 \\\n",
"0 A person on a horse jumps over a broken down a... \n",
"1 A person on a horse jumps over a broken down a... \n",
"10 An older man sits with his orange juice at a s... \n",
"100 A woman is walking across the street eating a ... \n",
"1000 Two barefoot men are playing on a green lawn o... \n",
"10000 Baby in a lavender onesie lying on a pastel gr... \n",
"100000 A man strikes a pose on a dock with a cruise s... \n",
"100001 A man strikes a pose on a dock with a cruise s... \n",
"100002 Man dressed in black dancing on a pier while p... \n",
"100003 Man dressed in black dancing on a pier while p... \n",
"100004 Man dressed in black dancing on a pier while p... \n",
"100005 A guy wearing a black attire is doing ballet i... \n",
"100006 A guy wearing a black attire is doing ballet i... \n",
"100007 A guy wearing a black attire is doing ballet i... \n",
"100008 One man dressed in black is stretching his leg... \n",
"100009 One man dressed in black is stretching his leg... \n",
"10001 Baby in a lavender onesie lying on a pastel gr... \n",
"100010 One man dressed in black is stretching his leg... \n",
"100011 Two fireman standing next to each other in fro... \n",
"100012 Two fireman standing next to each other in fro... \n",
"100013 Two fireman standing next to each other in fro... \n",
"100014 Female musician pauses her guitar playing to e... \n",
"100015 Female musician pauses her guitar playing to e... \n",
"100016 Female musician pauses her guitar playing to e... \n",
"100017 A man dancing in front of a docked cruise ship. \n",
"100018 A man dancing in front of a docked cruise ship. \n",
"100019 A man dancing in front of a docked cruise ship. \n",
"10002 A baby wearing a purple outfit and laying on a... \n",
"100020 Two people in brown uniforms playing in a socc... \n",
"100021 Two people in brown uniforms playing in a socc... \n",
"... ... \n",
"279971 A group of people are gathered in a wooded are... \n",
"279972 A group of people are gathered in a wooded are... \n",
"279973 A group of people are gathered in a wooded are... \n",
"279974 A group of people are gathered in a wooded are... \n",
"279975 A group of people are gathered in a wooded are... \n",
"279976 A group of people are gathered in a wooded are... \n",
"279977 A group of people are gathered in a wooded are... \n",
"279978 A group of people are gathered in a wooded are... \n",
"279979 A group of people are gathered in a wooded are... \n",
"27998 A blond female in a striped shirt points at so... \n",
"279980 A group of people are gathered in a wooded are... \n",
"279981 A group of people are gathered in a wooded are... \n",
"279982 A group of people are gathered in a wooded are... \n",
"279983 A group of people are gathered in a wooded are... \n",
"279984 Two children bounce on a trampoline. \n",
"279985 Two children bounce on a trampoline. \n",
"279986 Two children bounce on a trampoline. \n",
"279987 Asian little boy with spiky hair and yellow sh... \n",
"279988 Asian little boy with spiky hair and yellow sh... \n",
"279989 Asian little boy with spiky hair and yellow sh... \n",
"27999 A beautiful view of the mountains on a snowy day. \n",
"279990 Boy in yellow tank top laughing on a beach. \n",
"279991 Boy in yellow tank top laughing on a beach. \n",
"279992 Boy in yellow tank top laughing on a beach. \n",
"279993 A group of backpackers take a break under a ne... \n",
"279994 A group of backpackers take a break under a ne... \n",
"279995 A group of backpackers take a break under a ne... \n",
"279996 A baseball player in gray is getting ready to ... \n",
"279997 A baseball player in gray is getting ready to ... \n",
"279998 A baseball player in gray is getting ready to ... \n",
"\n",
" sentence2 \n",
"0 A person is training his horse for a competition. \n",
"1 A person is at a diner, ordering an omelette. \n",
"10 A boy flips a burger. \n",
"100 the woman is a seductress \n",
"1000 Two men in sandles are on the beach. \n",
"10000 The baby has just learned to walk. \n",
"100000 No ships are visible. \n",
"100001 A human striking a great pose. \n",
"100002 The man dressed in blue danced on a pier. \n",
"100003 The man was seen from the boat. \n",
"100004 The man dressed in black performed music while... \n",
"100005 A man is dancing near the water. \n",
"100006 A man is performing at an outdoors concert. \n",
"100007 A man is buying a plane ticket. \n",
"100008 A man goes through his tai chi routine in the ... \n",
"100009 A lady in red is stretching her leg out in fro... \n",
"10001 The baby is not happy right now. \n",
"100010 A male wearing clothing is near a ship. \n",
"100011 Two males standing outside.. \n",
"100012 Two firemen together near the bush. \n",
"100013 Two males seated in a hotel lobby. \n",
"100014 The female is eating noodles in bed. \n",
"100015 The female guitar player pauses to look at the... \n",
"100016 The female guitar player's fingers hurt \n",
"100017 A man sitting on a bench watching a cruise ship. \n",
"100018 A man outside. \n",
"100019 A man break dancing in front of a docked cruis... \n",
"10002 An infant cries during a picnic \n",
"100020 They get some exercise \n",
"100021 One man prepares to pass the ball \n",
"... ... \n",
"279971 The family is on a camping trip. \n",
"279972 There is an outdoor class being held. \n",
"279973 The adults are sitting next to the children. \n",
"279974 The people are swimming in the bathtub. \n",
"279975 A bear is attacking children in the woods whil... \n",
"279976 Children are sitting. \n",
"279977 There are both children and adults in a group ... \n",
"279978 The children write stories in notebooks. \n",
"279979 Children are writing. \n",
"27998 The female is wearing a beanie. \n",
"279980 The children and adults wait inside near a woo... \n",
"279981 The wooded area was full of animals. \n",
"279982 There are people in the woods. \n",
"279983 A scout troop writes while the leaders watch. \n",
"279984 Children are playing hot potato. \n",
"279985 A man is jumping in the snow. \n",
"279986 Children are on the trampoline. \n",
"279987 The boy is playing in the sand. \n",
"279988 The male child is on a beach. \n",
"279989 The little hispanic girl sits on the beach. \n",
"27999 A beautiful view of the mountains on a sunny a... \n",
"279990 A boy laughing at the sounds on the beach. \n",
"279991 A boy on a beach. \n",
"279992 A boy in a yellow shirt. \n",
"279993 The backpackers take a break in a cottage. \n",
"279994 The hikers sit under a tree still wearing thei... \n",
"279995 A bunch of people rest under a tree. \n",
"279996 girl eats pineapple \n",
"279997 person plays baseball \n",
"279998 baseball playoff game \n",
"\n",
"[200000 rows x 4 columns]"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment