2020-01-28 11:53 Using CUDA.
2020-01-28 11:53 Cuda version: 10.1.243
2020-01-28 11:53 mode: train
2020-01-28 11:53 output_directory: adverb_k_5_run_3
2020-01-28 11:53 resume_from_file: 
2020-01-28 11:53 split: test
2020-01-28 11:53 data_directory: data/compositional_splits
2020-01-28 11:53 input_vocab_path: training_input_vocab.txt
2020-01-28 11:53 target_vocab_path: training_target_vocab.txt
2020-01-28 11:53 generate_vocabularies: True
2020-01-28 11:53 training_batch_size: 200
2020-01-28 11:53 k: 4
2020-01-28 11:53 test_batch_size: 1
2020-01-28 11:53 max_training_examples: None
2020-01-28 11:53 learning_rate: 0.001
2020-01-28 11:53 lr_decay: 0.9
2020-01-28 11:53 lr_decay_steps: 20000
2020-01-28 11:53 adam_beta_1: 0.9
2020-01-28 11:53 adam_beta_2: 0.999
2020-01-28 11:53 print_every: 100
2020-01-28 11:53 evaluate_every: 1000
2020-01-28 11:53 max_training_iterations: 200000
2020-01-28 11:53 weight_target_loss: 0.3
2020-01-28 11:53 max_testing_examples: 2000
2020-01-28 11:53 splits: test
2020-01-28 11:53 max_decoding_steps: 120
2020-01-28 11:53 output_file_name: predict.json
2020-01-28 11:53 simple_situation_representation: True
2020-01-28 11:53 cnn_hidden_num_channels: 50
2020-01-28 11:53 cnn_kernel_size: 1
2020-01-28 11:53 cnn_dropout_p: 0.1
2020-01-28 11:53 auxiliary_task: False
2020-01-28 11:53 embedding_dimension: 25
2020-01-28 11:53 num_encoder_layers: 1
2020-01-28 11:53 encoder_hidden_size: 100
2020-01-28 11:53 encoder_dropout_p: 0.3
2020-01-28 11:53 encoder_bidirectional: True
2020-01-28 11:53 num_decoder_layers: 1
2020-01-28 11:53 attention_type: bahdanau
2020-01-28 11:53 decoder_dropout_p: 0.3
2020-01-28 11:53 decoder_hidden_size: 100
2020-01-28 11:53 conditional_attention: True
2020-01-28 11:53 seed: 82
2020-01-28 11:53 Loading Training set...
2020-01-28 11:55 Verb-adverb combinations in training set: 
2020-01-28 11:55 Verbs for adverb: hesitantly
2020-01-28 11:55    walk: 34337 occurrences.
2020-01-28 11:55    push: 31925 occurrences.
2020-01-28 11:55    pull: 34386 occurrences.
2020-01-28 11:55 Verbs for adverb: while spinning
2020-01-28 11:55    walk: 34446 occurrences.
2020-01-28 11:55    push: 31783 occurrences.
2020-01-28 11:55 Verbs for adverb: while zigzagging
2020-01-28 11:55    walk: 34359 occurrences.
2020-01-28 11:55    push: 31877 occurrences.
2020-01-28 11:55    pull: 34314 occurrences.
2020-01-28 11:55 Verbs for adverb: 
2020-01-28 11:55    walk: 34343 occurrences.
2020-01-28 11:55    push: 31746 occurrences.
2020-01-28 11:55    pull: 34416 occurrences.
2020-01-28 11:55 Verbs for adverb: cautiously
2020-01-28 11:55    push: 2 occurrences.
2020-01-28 11:55    walk: 2 occurrences.
2020-01-28 11:55    pull: 1 occurrences.
2020-01-28 11:55 Verb-adverb combinations in dev set: 
2020-01-28 11:55 Verbs for adverb: cautiously
2020-01-28 11:55    push: 2 occurrences.
2020-01-28 11:55    walk: 2 occurrences.
2020-01-28 11:55    pull: 1 occurrences.
2020-01-28 11:55 Verbs for adverb: 
2020-01-28 11:55    walk: 357 occurrences.
2020-01-28 11:55    push: 358 occurrences.
2020-01-28 11:55    pull: 339 occurrences.
2020-01-28 11:55 Verbs for adverb: while zigzagging
2020-01-28 11:55    walk: 327 occurrences.
2020-01-28 11:55    pull: 351 occurrences.
2020-01-28 11:55    push: 292 occurrences.
2020-01-28 11:55 Verbs for adverb: hesitantly
2020-01-28 11:55    push: 332 occurrences.
2020-01-28 11:55    walk: 351 occurrences.
2020-01-28 11:55    pull: 336 occurrences.
2020-01-28 11:55 Verbs for adverb: while spinning
2020-01-28 11:55    push: 324 occurrences.
2020-01-28 11:55    walk: 349 occurrences.
2020-01-28 11:55 Generating vocabularies...
2020-01-28 11:55 Populating vocabulary...
2020-01-28 12:07 Done generating vocabularies.
2020-01-28 12:07 Converting dataset to tensors...
2020-01-28 13:08 Done Loading Training set.
2020-01-28 13:08   Loaded 367937 training examples.
2020-01-28 13:08   Input vocabulary size training set: 21
2020-01-28 13:08   Most common input words: [('a', 367937), ('cylinder', 149788), ('walk', 137487), ('to', 137487), ('circle', 134815)]
2020-01-28 13:08   Output vocabulary size training set: 9
2020-01-28 13:08   Most common target words: [('turn left', 1801048), ('walk', 1722375), ('stay', 624267), ('pull', 362529), ('turn right', 272665)]
2020-01-28 13:08 Saved vocabularies to training_input_vocab.txt for input and training_target_vocab.txt for target.
2020-01-28 13:08 Loading Test set...
2020-01-28 13:09 Verb-adverb combinations in training set: 
2020-01-28 13:09 Verbs for adverb: hesitantly
2020-01-28 13:09    walk: 34337 occurrences.
2020-01-28 13:09    push: 31925 occurrences.
2020-01-28 13:09    pull: 34386 occurrences.
2020-01-28 13:09 Verbs for adverb: while spinning
2020-01-28 13:09    walk: 34446 occurrences.
2020-01-28 13:09    push: 31783 occurrences.
2020-01-28 13:09 Verbs for adverb: while zigzagging
2020-01-28 13:09    walk: 34359 occurrences.
2020-01-28 13:09    push: 31877 occurrences.
2020-01-28 13:09    pull: 34314 occurrences.
2020-01-28 13:09 Verbs for adverb: 
2020-01-28 13:09    walk: 34343 occurrences.
2020-01-28 13:09    push: 31746 occurrences.
2020-01-28 13:09    pull: 34416 occurrences.
2020-01-28 13:09 Verbs for adverb: cautiously
2020-01-28 13:09    push: 1 occurrences.
2020-01-28 13:09 Verb-adverb combinations in dev set: 
2020-01-28 13:09 Verbs for adverb: cautiously
2020-01-28 13:09    push: 1 occurrences.
2020-01-28 13:09 Verbs for adverb: 
2020-01-28 13:09    walk: 357 occurrences.
2020-01-28 13:09    push: 358 occurrences.
2020-01-28 13:09    pull: 339 occurrences.
2020-01-28 13:09 Verbs for adverb: while zigzagging
2020-01-28 13:09    walk: 327 occurrences.
2020-01-28 13:09    pull: 351 occurrences.
2020-01-28 13:09    push: 292 occurrences.
2020-01-28 13:09 Verbs for adverb: hesitantly
2020-01-28 13:09    push: 332 occurrences.
2020-01-28 13:09    walk: 351 occurrences.
2020-01-28 13:09    pull: 336 occurrences.
2020-01-28 13:09 Verbs for adverb: while spinning
2020-01-28 13:09    push: 324 occurrences.
2020-01-28 13:09    walk: 349 occurrences.
2020-01-28 13:09 Loading vocabularies...
2020-01-28 13:09 Done loading vocabularies.
2020-01-28 13:09 Converting dataset to tensors...
2020-01-28 13:09 Done Loading Test set.
2020-01-28 13:09 Total parameters: 440275
2020-01-28 13:09 situation_encoder.conv_1.weight : [50, 16, 1, 1]
2020-01-28 13:09 situation_encoder.conv_1.bias : [50]
2020-01-28 13:09 situation_encoder.conv_2.weight : [50, 16, 5, 5]
2020-01-28 13:09 situation_encoder.conv_2.bias : [50]
2020-01-28 13:09 situation_encoder.conv_3.weight : [50, 16, 7, 7]
2020-01-28 13:09 situation_encoder.conv_3.bias : [50]
2020-01-28 13:09 visual_attention.key_layer.weight : [100, 150]
2020-01-28 13:09 visual_attention.query_layer.weight : [100, 100]
2020-01-28 13:09 visual_attention.energy_layer.weight : [1, 100]
2020-01-28 13:09 encoder.embedding.weight : [21, 25]
2020-01-28 13:09 encoder.lstm.weight_ih_l0 : [400, 25]
2020-01-28 13:09 encoder.lstm.weight_hh_l0 : [400, 100]
2020-01-28 13:09 encoder.lstm.bias_ih_l0 : [400]
2020-01-28 13:09 encoder.lstm.bias_hh_l0 : [400]
2020-01-28 13:09 encoder.lstm.weight_ih_l0_reverse : [400, 25]
2020-01-28 13:09 encoder.lstm.weight_hh_l0_reverse : [400, 100]
2020-01-28 13:09 encoder.lstm.bias_ih_l0_reverse : [400]
2020-01-28 13:09 encoder.lstm.bias_hh_l0_reverse : [400]
2020-01-28 13:09 enc_hidden_to_dec_hidden.weight : [100, 100]
2020-01-28 13:09 enc_hidden_to_dec_hidden.bias : [100]
2020-01-28 13:09 textual_attention.key_layer.weight : [100, 100]
2020-01-28 13:09 textual_attention.query_layer.weight : [100, 100]
2020-01-28 13:09 textual_attention.energy_layer.weight : [1, 100]
2020-01-28 13:09 attention_decoder.queries_to_keys.weight : [100, 200]
2020-01-28 13:09 attention_decoder.queries_to_keys.bias : [100]
2020-01-28 13:09 attention_decoder.embedding.weight : [9, 100]
2020-01-28 13:09 attention_decoder.lstm.weight_ih_l0 : [400, 300]
2020-01-28 13:09 attention_decoder.lstm.weight_hh_l0 : [400, 100]
2020-01-28 13:09 attention_decoder.lstm.bias_ih_l0 : [400]
2020-01-28 13:09 attention_decoder.lstm.bias_hh_l0 : [400]
2020-01-28 13:09 attention_decoder.output_to_hidden.weight : [100, 400]
2020-01-28 13:09 attention_decoder.hidden_to_output.weight : [9, 100]
2020-01-28 13:09 Training starts..
2020-01-28 13:10 Iteration 00000100, loss   0.5335, accuracy 77.95, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:11 Iteration 00000200, loss   0.4233, accuracy 83.30, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:11 Iteration 00000300, loss   0.3623, accuracy 84.86, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:12 Iteration 00000400, loss   0.3402, accuracy 85.01, exact match  3.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:13 Iteration 00000500, loss   0.3369, accuracy 85.63, exact match  1.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:13 Iteration 00000600, loss   0.3396, accuracy 86.03, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:14 Iteration 00000700, loss   0.3212, accuracy 87.00, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:15 Iteration 00000800, loss   0.3200, accuracy 86.56, exact match  4.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:15 Iteration 00000900, loss   0.3133, accuracy 86.73, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-28 13:16 Iteration 00001000, loss   0.3195, accuracy 87.09, exact match  5.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:16 Evaluating..
2020-01-28 13:19 Predicted for 2001 examples.
2020-01-28 13:19 Done predicting in 146.5943901538849 seconds.
2020-01-28 13:19   Evaluation Accuracy: 47.34 Exact Match:  6.50  Target Accuracy:  0.00
2020-01-28 13:19 Iteration 00001100, loss   0.3038, accuracy 87.54, exact match  5.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:20 Iteration 00001200, loss   0.2937, accuracy 88.01, exact match  7.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:21 Iteration 00001300, loss   0.2951, accuracy 87.47, exact match  4.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:21 Iteration 00001400, loss   0.3033, accuracy 87.18, exact match  5.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:22 Iteration 00001500, loss   0.2938, accuracy 88.68, exact match 10.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:23 Iteration 00001600, loss   0.2852, accuracy 87.96, exact match  7.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:23 Iteration 00001700, loss   0.2624, accuracy 89.12, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:24 Iteration 00001800, loss   0.2970, accuracy 88.30, exact match 10.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:25 Iteration 00001900, loss   0.2749, accuracy 89.00, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:25 Iteration 00002000, loss   0.2803, accuracy 87.76, exact match  8.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:25 Evaluating..
2020-01-28 13:28 Predicted for 2001 examples.
2020-01-28 13:28 Done predicting in 141.0314109325409 seconds.
2020-01-28 13:28   Evaluation Accuracy: 51.43 Exact Match: 10.80  Target Accuracy:  0.00
2020-01-28 13:28 Iteration 00002100, loss   0.2795, accuracy 88.81, exact match 10.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:29 Iteration 00002200, loss   0.2454, accuracy 89.88, exact match 11.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:30 Iteration 00002300, loss   0.2741, accuracy 89.34, exact match 16.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:30 Iteration 00002400, loss   0.2524, accuracy 90.01, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:31 Iteration 00002500, loss   0.2737, accuracy 89.08, exact match 14.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:32 Iteration 00002600, loss   0.2678, accuracy 88.96, exact match  9.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:32 Iteration 00002700, loss   0.2632, accuracy 89.24, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:33 Iteration 00002800, loss   0.2621, accuracy 89.68, exact match 15.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-28 13:34 Iteration 00002900, loss   0.3278, accuracy 88.93, exact match 10.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:34 Iteration 00003000, loss   0.2501, accuracy 90.02, exact match 13.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:34 Evaluating..
2020-01-28 13:37 Predicted for 2001 examples.
2020-01-28 13:37 Done predicting in 139.60661268234253 seconds.
2020-01-28 13:37   Evaluation Accuracy: 53.91 Exact Match: 15.30  Target Accuracy:  0.00
2020-01-28 13:37 Iteration 00003100, loss   0.2496, accuracy 90.55, exact match 13.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:38 Iteration 00003200, loss   0.2599, accuracy 88.91, exact match 13.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:39 Iteration 00003300, loss   0.2583, accuracy 89.17, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:39 Iteration 00003400, loss   0.2516, accuracy 89.56, exact match 13.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:40 Iteration 00003500, loss   0.2663, accuracy 89.36, exact match 17.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:41 Iteration 00003600, loss   0.2617, accuracy 89.51, exact match 12.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:41 Iteration 00003700, loss   0.2181, accuracy 91.44, exact match 15.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:42 Iteration 00003800, loss   0.2071, accuracy 91.64, exact match 18.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:43 Iteration 00003900, loss   0.2225, accuracy 91.19, exact match 23.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:43 Iteration 00004000, loss   0.2085, accuracy 91.66, exact match 21.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:43 Evaluating..
2020-01-28 13:46 Predicted for 2001 examples.
2020-01-28 13:46 Done predicting in 129.97765803337097 seconds.
2020-01-28 13:46   Evaluation Accuracy: 59.54 Exact Match: 21.80  Target Accuracy:  0.00
2020-01-28 13:46 Iteration 00004100, loss   0.2060, accuracy 91.96, exact match 26.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:47 Iteration 00004200, loss   0.2332, accuracy 90.28, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:48 Iteration 00004300, loss   0.1925, accuracy 92.52, exact match 26.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:48 Iteration 00004400, loss   0.2245, accuracy 91.09, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:49 Iteration 00004500, loss   0.2209, accuracy 91.30, exact match 26.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:50 Iteration 00004600, loss   0.2047, accuracy 92.20, exact match 22.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:50 Iteration 00004700, loss   0.1884, accuracy 93.23, exact match 28.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:51 Iteration 00004800, loss   0.2091, accuracy 91.55, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-28 13:52 Iteration 00004900, loss   0.1862, accuracy 92.84, exact match 28.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:52 Iteration 00005000, loss   0.2430, accuracy 91.33, exact match 25.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:52 Evaluating..
2020-01-28 13:54 Predicted for 2001 examples.
2020-01-28 13:54 Done predicting in 117.59890675544739 seconds.
2020-01-28 13:54   Evaluation Accuracy: 65.74 Exact Match: 31.25  Target Accuracy:  0.00
2020-01-28 13:55 Iteration 00005100, loss   0.1884, accuracy 93.47, exact match 36.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:56 Iteration 00005200, loss   0.1955, accuracy 91.85, exact match 26.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:56 Iteration 00005300, loss   0.1922, accuracy 92.15, exact match 29.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:57 Iteration 00005400, loss   0.1801, accuracy 92.76, exact match 33.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:58 Iteration 00005500, loss   0.1810, accuracy 92.60, exact match 31.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:58 Iteration 00005600, loss   0.1728, accuracy 93.31, exact match 35.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:59 Iteration 00005700, loss   0.1689, accuracy 93.03, exact match 34.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 13:59 Iteration 00005800, loss   0.1408, accuracy 93.91, exact match 35.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:00 Iteration 00005900, loss   0.1684, accuracy 93.49, exact match 34.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:01 Iteration 00006000, loss   0.1586, accuracy 93.84, exact match 42.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:01 Evaluating..
2020-01-28 14:03 Predicted for 2001 examples.
2020-01-28 14:03 Done predicting in 106.77326488494873 seconds.
2020-01-28 14:03   Evaluation Accuracy: 75.52 Exact Match: 45.05  Target Accuracy:  0.00
2020-01-28 14:03 Iteration 00006100, loss   0.1553, accuracy 93.98, exact match 42.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:04 Iteration 00006200, loss   0.1337, accuracy 94.60, exact match 42.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:05 Iteration 00006300, loss   0.1471, accuracy 94.43, exact match 41.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:05 Iteration 00006400, loss   0.1733, accuracy 94.44, exact match 48.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:06 Iteration 00006500, loss   0.1437, accuracy 93.89, exact match 42.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:07 Iteration 00006600, loss   0.1455, accuracy 93.90, exact match 48.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:07 Iteration 00006700, loss   0.1264, accuracy 95.03, exact match 49.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-28 14:08 Iteration 00006800, loss   0.1328, accuracy 94.96, exact match 48.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:08 Iteration 00006900, loss   0.1156, accuracy 95.46, exact match 53.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:09 Iteration 00007000, loss   0.1363, accuracy 94.32, exact match 44.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:09 Evaluating..
2020-01-28 14:11 Predicted for 2001 examples.
2020-01-28 14:11 Done predicting in 107.28317093849182 seconds.
2020-01-28 14:11   Evaluation Accuracy: 81.89 Exact Match: 53.90  Target Accuracy:  0.00
2020-01-28 14:12 Iteration 00007100, loss   0.1113, accuracy 95.85, exact match 51.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:12 Iteration 00007200, loss   0.1197, accuracy 95.40, exact match 53.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:13 Iteration 00007300, loss   0.1126, accuracy 95.33, exact match 50.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:14 Iteration 00007400, loss   0.1108, accuracy 95.61, exact match 52.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:14 Iteration 00007500, loss   0.1090, accuracy 95.64, exact match 52.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:15 Iteration 00007600, loss   0.0937, accuracy 96.19, exact match 57.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:15 Iteration 00007700, loss   0.0907, accuracy 96.09, exact match 56.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:16 Iteration 00007800, loss   0.0943, accuracy 96.09, exact match 53.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:17 Iteration 00007900, loss   0.0919, accuracy 96.45, exact match 55.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:17 Iteration 00008000, loss   0.1165, accuracy 95.15, exact match 53.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:17 Evaluating..
2020-01-28 14:19 Predicted for 2001 examples.
2020-01-28 14:19 Done predicting in 102.1085352897644 seconds.
2020-01-28 14:19   Evaluation Accuracy: 87.25 Exact Match: 62.95  Target Accuracy:  0.00
2020-01-28 14:20 Iteration 00008100, loss   0.1025, accuracy 95.71, exact match 51.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:20 Iteration 00008200, loss   0.0730, accuracy 96.93, exact match 63.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:21 Iteration 00008300, loss   0.0817, accuracy 96.61, exact match 61.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:22 Iteration 00008400, loss   0.0740, accuracy 97.17, exact match 64.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:22 Iteration 00008500, loss   0.0852, accuracy 96.66, exact match 62.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:23 Iteration 00008600, loss   0.0795, accuracy 96.58, exact match 61.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:24 Iteration 00008700, loss   0.0733, accuracy 97.19, exact match 69.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-28 14:24 Iteration 00008800, loss   0.0832, accuracy 96.59, exact match 65.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:25 Iteration 00008900, loss   0.0784, accuracy 96.74, exact match 63.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:26 Iteration 00009000, loss   0.0678, accuracy 97.54, exact match 68.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:26 Evaluating..
2020-01-28 14:27 Predicted for 2001 examples.
2020-01-28 14:27 Done predicting in 101.77336525917053 seconds.
2020-01-28 14:27   Evaluation Accuracy: 89.65 Exact Match: 68.10  Target Accuracy:  0.00
2020-01-28 14:28 Iteration 00009100, loss   0.0787, accuracy 96.83, exact match 60.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:29 Iteration 00009200, loss   0.0921, accuracy 95.94, exact match 59.12, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:29 Iteration 00009300, loss   0.0690, accuracy 97.29, exact match 66.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:30 Iteration 00009400, loss   0.0738, accuracy 97.31, exact match 65.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:31 Iteration 00009500, loss   0.0720, accuracy 97.15, exact match 67.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:31 Iteration 00009600, loss   0.0718, accuracy 96.99, exact match 63.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:32 Iteration 00009700, loss   0.0721, accuracy 97.27, exact match 66.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:32 Iteration 00009800, loss   0.0773, accuracy 96.62, exact match 63.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:33 Iteration 00009900, loss   0.0665, accuracy 97.10, exact match 64.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:34 Iteration 00010000, loss   0.0558, accuracy 97.90, exact match 73.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:34 Evaluating..
2020-01-28 14:35 Predicted for 2001 examples.
2020-01-28 14:35 Done predicting in 96.80246472358704 seconds.
2020-01-28 14:35   Evaluation Accuracy: 91.58 Exact Match: 72.95  Target Accuracy:  0.00
2020-01-28 14:36 Iteration 00010100, loss   0.0754, accuracy 96.85, exact match 62.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:37 Iteration 00010200, loss   0.0614, accuracy 97.40, exact match 68.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:37 Iteration 00010300, loss   0.0657, accuracy 97.42, exact match 67.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:38 Iteration 00010400, loss   0.0570, accuracy 97.61, exact match 71.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:39 Iteration 00010500, loss   0.0615, accuracy 97.18, exact match 63.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:39 Iteration 00010600, loss   0.0704, accuracy 97.14, exact match 64.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:40 Iteration 00010700, loss   0.0622, accuracy 97.78, exact match 73.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-28 14:40 Iteration 00010800, loss   0.0629, accuracy 97.51, exact match 69.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:41 Iteration 00010900, loss   0.0574, accuracy 97.55, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:42 Iteration 00011000, loss   0.0669, accuracy 97.37, exact match 67.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:42 Evaluating..
2020-01-28 14:43 Predicted for 2001 examples.
2020-01-28 14:43 Done predicting in 99.97763586044312 seconds.
2020-01-28 14:43   Evaluation Accuracy: 91.83 Exact Match: 74.40  Target Accuracy:  0.00
2020-01-28 14:44 Iteration 00011100, loss   0.0701, accuracy 97.52, exact match 69.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:45 Iteration 00011200, loss   0.0589, accuracy 97.78, exact match 72.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:45 Iteration 00011300, loss   0.0677, accuracy 97.25, exact match 64.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:46 Iteration 00011400, loss   0.0413, accuracy 98.26, exact match 79.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:46 Iteration 00011500, loss   0.0654, accuracy 97.58, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:47 Iteration 00011600, loss   0.0597, accuracy 97.59, exact match 69.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:48 Iteration 00011700, loss   0.0499, accuracy 98.00, exact match 75.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:48 Iteration 00011800, loss   0.0519, accuracy 97.96, exact match 75.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:49 Iteration 00011900, loss   0.0529, accuracy 97.82, exact match 71.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:50 Iteration 00012000, loss   0.0535, accuracy 97.74, exact match 71.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:50 Evaluating..
2020-01-28 14:51 Predicted for 2001 examples.
2020-01-28 14:51 Done predicting in 98.01910638809204 seconds.
2020-01-28 14:51   Evaluation Accuracy: 93.10 Exact Match: 78.20  Target Accuracy:  0.00
2020-01-28 14:52 Iteration 00012100, loss   0.0511, accuracy 97.95, exact match 77.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:53 Iteration 00012200, loss   0.0576, accuracy 97.89, exact match 71.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:53 Iteration 00012300, loss   0.0460, accuracy 97.98, exact match 76.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:54 Iteration 00012400, loss   0.0458, accuracy 98.23, exact match 78.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:54 Iteration 00012500, loss   0.0481, accuracy 98.16, exact match 76.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:55 Iteration 00012600, loss   0.0527, accuracy 98.08, exact match 76.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:56 Iteration 00012700, loss   0.0503, accuracy 97.90, exact match 78.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-28 14:56 Iteration 00012800, loss   0.0520, accuracy 97.94, exact match 73.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 14:57 Iteration 00012900, loss   0.0513, accuracy 97.51, exact match 72.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 14:58 Iteration 00013000, loss   0.0544, accuracy 97.72, exact match 71.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 14:58 Evaluating..
2020-01-28 14:59 Predicted for 2001 examples.
2020-01-28 14:59 Done predicting in 99.12152647972107 seconds.
2020-01-28 14:59   Evaluation Accuracy: 93.14 Exact Match: 78.05  Target Accuracy:  0.00
2020-01-28 15:00 Iteration 00013100, loss   0.0485, accuracy 98.43, exact match 81.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:01 Iteration 00013200, loss   0.0629, accuracy 97.64, exact match 74.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:01 Iteration 00013300, loss   0.0447, accuracy 97.98, exact match 76.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:02 Iteration 00013400, loss   0.0449, accuracy 98.30, exact match 77.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:02 Iteration 00013500, loss   0.0396, accuracy 98.44, exact match 79.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:03 Iteration 00013600, loss   0.0514, accuracy 98.00, exact match 77.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:04 Iteration 00013700, loss   0.0582, accuracy 97.92, exact match 74.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:04 Iteration 00013800, loss   0.0422, accuracy 98.22, exact match 79.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:05 Iteration 00013900, loss   0.0497, accuracy 98.07, exact match 78.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:06 Iteration 00014000, loss   0.0415, accuracy 98.47, exact match 79.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:06 Evaluating..
2020-01-28 15:07 Predicted for 2001 examples.
2020-01-28 15:07 Done predicting in 96.9941954612732 seconds.
2020-01-28 15:07   Evaluation Accuracy: 94.61 Exact Match: 81.70  Target Accuracy:  0.00
2020-01-28 15:08 Iteration 00014100, loss   0.0342, accuracy 98.60, exact match 82.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:08 Iteration 00014200, loss   0.0422, accuracy 98.25, exact match 77.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:09 Iteration 00014300, loss   0.0452, accuracy 98.23, exact match 77.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:10 Iteration 00014400, loss   0.0464, accuracy 98.11, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:10 Iteration 00014500, loss   0.0522, accuracy 97.60, exact match 70.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:11 Iteration 00014600, loss   0.0506, accuracy 98.26, exact match 77.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:12 Iteration 00014700, loss   0.0437, accuracy 98.17, exact match 79.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-28 15:12 Iteration 00014800, loss   0.0533, accuracy 97.80, exact match 75.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:13 Iteration 00014900, loss   0.0455, accuracy 98.15, exact match 79.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:14 Iteration 00015000, loss   0.0376, accuracy 98.53, exact match 83.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:14 Evaluating..
2020-01-28 15:15 Predicted for 2001 examples.
2020-01-28 15:15 Done predicting in 97.70000648498535 seconds.
2020-01-28 15:15   Evaluation Accuracy: 94.19 Exact Match: 80.90  Target Accuracy:  0.00
2020-01-28 15:16 Iteration 00015100, loss   0.0582, accuracy 97.88, exact match 73.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:16 Iteration 00015200, loss   0.0397, accuracy 98.41, exact match 83.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:17 Iteration 00015300, loss   0.0450, accuracy 98.12, exact match 76.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:18 Iteration 00015400, loss   0.0438, accuracy 98.06, exact match 78.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:18 Iteration 00015500, loss   0.0512, accuracy 98.28, exact match 80.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:19 Iteration 00015600, loss   0.0462, accuracy 98.01, exact match 73.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:20 Iteration 00015700, loss   0.0380, accuracy 98.75, exact match 85.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:20 Iteration 00015800, loss   0.0434, accuracy 98.48, exact match 80.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:21 Iteration 00015900, loss   0.0443, accuracy 98.40, exact match 84.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:21 Iteration 00016000, loss   0.0461, accuracy 97.96, exact match 75.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:21 Evaluating..
2020-01-28 15:23 Predicted for 2001 examples.
2020-01-28 15:23 Done predicting in 96.79483914375305 seconds.
2020-01-28 15:23   Evaluation Accuracy: 94.91 Exact Match: 83.10  Target Accuracy:  0.00
2020-01-28 15:24 Iteration 00016100, loss   0.0400, accuracy 98.60, exact match 84.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:24 Iteration 00016200, loss   0.0414, accuracy 98.13, exact match 77.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:25 Iteration 00016300, loss   0.0501, accuracy 97.80, exact match 74.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:26 Iteration 00016400, loss   0.0526, accuracy 97.75, exact match 77.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:26 Iteration 00016500, loss   0.0331, accuracy 98.80, exact match 82.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:27 Iteration 00016600, loss   0.0314, accuracy 98.87, exact match 84.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:28 Iteration 00016700, loss   0.0389, accuracy 98.43, exact match 80.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:28 Iteration 00016800, loss   0.0425, accuracy 98.24, exact match 79.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-28 15:29 Iteration 00016900, loss   0.0343, accuracy 98.54, exact match 81.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:29 Iteration 00017000, loss   0.0336, accuracy 98.73, exact match 84.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:29 Evaluating..
2020-01-28 15:31 Predicted for 2001 examples.
2020-01-28 15:31 Done predicting in 96.68392300605774 seconds.
2020-01-28 15:31   Evaluation Accuracy: 95.48 Exact Match: 84.50  Target Accuracy:  0.00
2020-01-28 15:32 Iteration 00017100, loss   0.0529, accuracy 97.81, exact match 76.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:32 Iteration 00017200, loss   0.0358, accuracy 98.53, exact match 81.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:33 Iteration 00017300, loss   0.0442, accuracy 98.31, exact match 79.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:34 Iteration 00017400, loss   0.0340, accuracy 98.64, exact match 83.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:34 Iteration 00017500, loss   0.0507, accuracy 98.11, exact match 77.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:35 Iteration 00017600, loss   0.0372, accuracy 98.54, exact match 80.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:35 Iteration 00017700, loss   0.0376, accuracy 98.21, exact match 75.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:36 Iteration 00017800, loss   0.0329, accuracy 98.72, exact match 83.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:37 Iteration 00017900, loss   0.0370, accuracy 98.47, exact match 80.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:37 Iteration 00018000, loss   0.0397, accuracy 98.26, exact match 80.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:37 Evaluating..
2020-01-28 15:39 Predicted for 2001 examples.
2020-01-28 15:39 Done predicting in 96.09596824645996 seconds.
2020-01-28 15:39   Evaluation Accuracy: 95.95 Exact Match: 85.90  Target Accuracy:  0.00
2020-01-28 15:40 Iteration 00018100, loss   0.0406, accuracy 98.39, exact match 78.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:40 Iteration 00018200, loss   0.0384, accuracy 98.27, exact match 78.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:41 Iteration 00018300, loss   0.0420, accuracy 98.18, exact match 77.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:41 Iteration 00018400, loss   0.0329, accuracy 98.80, exact match 81.75, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:42 Iteration 00018500, loss   0.0352, accuracy 98.49, exact match 83.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:43 Iteration 00018600, loss   0.0375, accuracy 98.37, exact match 80.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:43 Iteration 00018700, loss   0.0343, accuracy 98.55, exact match 81.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:44 Iteration 00018800, loss   0.0321, accuracy 98.74, exact match 85.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:45 Iteration 00018900, loss   0.0442, accuracy 98.16, exact match 81.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-28 15:45 Iteration 00019000, loss   0.0401, accuracy 98.65, exact match 82.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:45 Evaluating..
2020-01-28 15:47 Predicted for 2001 examples.
2020-01-28 15:47 Done predicting in 96.76789784431458 seconds.
2020-01-28 15:47   Evaluation Accuracy: 96.15 Exact Match: 86.05  Target Accuracy:  0.00
2020-01-28 15:48 Iteration 00019100, loss   0.0401, accuracy 98.20, exact match 75.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:48 Iteration 00019200, loss   0.0298, accuracy 98.85, exact match 86.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:49 Iteration 00019300, loss   0.0365, accuracy 98.47, exact match 79.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:49 Iteration 00019400, loss   0.0494, accuracy 98.14, exact match 80.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:50 Iteration 00019500, loss   0.0363, accuracy 98.38, exact match 78.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:51 Iteration 00019600, loss   0.0358, accuracy 98.62, exact match 82.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:51 Iteration 00019700, loss   0.0276, accuracy 98.81, exact match 85.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:52 Iteration 00019800, loss   0.0346, accuracy 98.39, exact match 81.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:53 Iteration 00019900, loss   0.0406, accuracy 98.18, exact match 79.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:53 Iteration 00020000, loss   0.0363, accuracy 98.51, exact match 83.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:53 Evaluating..
2020-01-28 15:55 Predicted for 2001 examples.
2020-01-28 15:55 Done predicting in 96.55337691307068 seconds.
2020-01-28 15:55   Evaluation Accuracy: 95.69 Exact Match: 85.40  Target Accuracy:  0.00
2020-01-28 15:55 Iteration 00020100, loss   0.0404, accuracy 98.49, exact match 81.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:56 Iteration 00020200, loss   0.0317, accuracy 98.81, exact match 84.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:57 Iteration 00020300, loss   0.0369, accuracy 98.46, exact match 80.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:57 Iteration 00020400, loss   0.0256, accuracy 99.01, exact match 86.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:58 Iteration 00020500, loss   0.0286, accuracy 98.69, exact match 83.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:59 Iteration 00020600, loss   0.0366, accuracy 98.63, exact match 80.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 15:59 Iteration 00020700, loss   0.0367, accuracy 98.29, exact match 79.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 16:00 Iteration 00020800, loss   0.0230, accuracy 98.98, exact match 88.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 16:01 Iteration 00020900, loss   0.0267, accuracy 99.00, exact match 86.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 16:01 Iteration 00021000, loss   0.0290, accuracy 98.97, exact match 87.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-28 16:01 Evaluating..
2020-01-28 16:03 Predicted for 2001 examples.
2020-01-28 16:03 Done predicting in 97.42888832092285 seconds.
2020-01-28 16:03   Evaluation Accuracy: 96.11 Exact Match: 85.95  Target Accuracy:  0.00
2020-01-28 16:03 Iteration 00021100, loss   0.0315, accuracy 98.78, exact match 84.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:04 Iteration 00021200, loss   0.0319, accuracy 98.89, exact match 87.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:05 Iteration 00021300, loss   0.0204, accuracy 99.22, exact match 88.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:05 Iteration 00021400, loss   0.0394, accuracy 98.49, exact match 82.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:06 Iteration 00021500, loss   0.0323, accuracy 98.81, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:07 Iteration 00021600, loss   0.0343, accuracy 98.63, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:07 Iteration 00021700, loss   0.0299, accuracy 98.73, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:08 Iteration 00021800, loss   0.0290, accuracy 98.86, exact match 83.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:09 Iteration 00021900, loss   0.0355, accuracy 98.58, exact match 81.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:09 Iteration 00022000, loss   0.0392, accuracy 98.34, exact match 80.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:09 Evaluating..
2020-01-28 16:11 Predicted for 2001 examples.
2020-01-28 16:11 Done predicting in 98.06131434440613 seconds.
2020-01-28 16:11   Evaluation Accuracy: 95.88 Exact Match: 85.85  Target Accuracy:  0.00
2020-01-28 16:11 Iteration 00022100, loss   0.0323, accuracy 98.70, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:12 Iteration 00022200, loss   0.0248, accuracy 99.10, exact match 88.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:13 Iteration 00022300, loss   0.0255, accuracy 98.87, exact match 87.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:13 Iteration 00022400, loss   0.0243, accuracy 99.29, exact match 90.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:14 Iteration 00022500, loss   0.0351, accuracy 98.63, exact match 84.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:15 Iteration 00022600, loss   0.0401, accuracy 98.38, exact match 81.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:15 Iteration 00022700, loss   0.0306, accuracy 98.83, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:16 Iteration 00022800, loss   0.0394, accuracy 98.24, exact match 81.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:17 Iteration 00022900, loss   0.0327, accuracy 98.82, exact match 86.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:17 Iteration 00023000, loss   0.0317, accuracy 98.77, exact match 83.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:17 Evaluating..
2020-01-28 16:19 Predicted for 2001 examples.
2020-01-28 16:19 Done predicting in 96.59686231613159 seconds.
2020-01-28 16:19   Evaluation Accuracy: 96.57 Exact Match: 87.55  Target Accuracy:  0.00
2020-01-28 16:19 Iteration 00023100, loss   0.0371, accuracy 98.31, exact match 79.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-28 16:20 Iteration 00023200, loss   0.0427, accuracy 98.67, exact match 84.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:21 Iteration 00023300, loss   0.0339, accuracy 98.77, exact match 84.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:21 Iteration 00023400, loss   0.0410, accuracy 98.39, exact match 78.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:22 Iteration 00023500, loss   0.0393, accuracy 98.32, exact match 79.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:23 Iteration 00023600, loss   0.0328, accuracy 98.68, exact match 85.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:23 Iteration 00023700, loss   0.0276, accuracy 98.94, exact match 85.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:24 Iteration 00023800, loss   0.0310, accuracy 98.79, exact match 84.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:25 Iteration 00023900, loss   0.0368, accuracy 98.85, exact match 86.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:25 Iteration 00024000, loss   0.0395, accuracy 98.40, exact match 81.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:25 Evaluating..
2020-01-28 16:27 Predicted for 2001 examples.
2020-01-28 16:27 Done predicting in 95.89420795440674 seconds.
2020-01-28 16:27   Evaluation Accuracy: 96.22 Exact Match: 86.65  Target Accuracy:  0.00
2020-01-28 16:27 Iteration 00024100, loss   0.0309, accuracy 98.84, exact match 85.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:28 Iteration 00024200, loss   0.0273, accuracy 98.98, exact match 87.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:29 Iteration 00024300, loss   0.0325, accuracy 98.56, exact match 81.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:29 Iteration 00024400, loss   0.0240, accuracy 99.03, exact match 87.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:30 Iteration 00024500, loss   0.0278, accuracy 98.80, exact match 85.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:31 Iteration 00024600, loss   0.0275, accuracy 98.99, exact match 86.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:31 Iteration 00024700, loss   0.0285, accuracy 98.86, exact match 83.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:32 Iteration 00024800, loss   0.0244, accuracy 98.99, exact match 87.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:32 Iteration 00024900, loss   0.0275, accuracy 99.05, exact match 87.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:33 Iteration 00025000, loss   0.0371, accuracy 98.67, exact match 82.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:33 Evaluating..
2020-01-28 16:35 Predicted for 2001 examples.
2020-01-28 16:35 Done predicting in 96.91570711135864 seconds.
2020-01-28 16:35   Evaluation Accuracy: 96.64 Exact Match: 87.80  Target Accuracy:  0.00
2020-01-28 16:35 Iteration 00025100, loss   0.0380, accuracy 98.51, exact match 83.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:36 Iteration 00025200, loss   0.0479, accuracy 98.23, exact match 82.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:37 Iteration 00025300, loss   0.0274, accuracy 99.13, exact match 88.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-28 16:37 Iteration 00025400, loss   0.0325, accuracy 98.86, exact match 86.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:38 Iteration 00025500, loss   0.0326, accuracy 98.84, exact match 85.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:39 Iteration 00025600, loss   0.0362, accuracy 98.50, exact match 82.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:39 Iteration 00025700, loss   0.0289, accuracy 98.91, exact match 85.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:40 Iteration 00025800, loss   0.0257, accuracy 99.09, exact match 89.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:40 Iteration 00025900, loss   0.0240, accuracy 99.06, exact match 87.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:41 Iteration 00026000, loss   0.0235, accuracy 99.02, exact match 88.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:41 Evaluating..
2020-01-28 16:43 Predicted for 2001 examples.
2020-01-28 16:43 Done predicting in 96.1864697933197 seconds.
2020-01-28 16:43   Evaluation Accuracy: 97.04 Exact Match: 88.85  Target Accuracy:  0.00
2020-01-28 16:43 Iteration 00026100, loss   0.0204, accuracy 99.07, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:44 Iteration 00026200, loss   0.0288, accuracy 98.72, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:45 Iteration 00026300, loss   0.0232, accuracy 98.96, exact match 86.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:45 Iteration 00026400, loss   0.0283, accuracy 98.94, exact match 87.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:46 Iteration 00026500, loss   0.0298, accuracy 98.72, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:46 Iteration 00026600, loss   0.0258, accuracy 99.01, exact match 86.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:47 Iteration 00026700, loss   0.0281, accuracy 98.94, exact match 84.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:48 Iteration 00026800, loss   0.0305, accuracy 98.59, exact match 83.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:48 Iteration 00026900, loss   0.0338, accuracy 98.82, exact match 87.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:49 Iteration 00027000, loss   0.0307, accuracy 98.78, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:49 Evaluating..
2020-01-28 16:51 Predicted for 2001 examples.
2020-01-28 16:51 Done predicting in 96.15111875534058 seconds.
2020-01-28 16:51   Evaluation Accuracy: 97.12 Exact Match: 89.55  Target Accuracy:  0.00
2020-01-28 16:51 Iteration 00027100, loss   0.0243, accuracy 99.18, exact match 88.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:52 Iteration 00027200, loss   0.0236, accuracy 99.08, exact match 90.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:52 Iteration 00027300, loss   0.0313, accuracy 98.70, exact match 84.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:53 Iteration 00027400, loss   0.0295, accuracy 98.97, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:54 Iteration 00027500, loss   0.0313, accuracy 99.05, exact match 89.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-28 16:54 Iteration 00027600, loss   0.0249, accuracy 98.97, exact match 87.59, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 16:55 Iteration 00027700, loss   0.0316, accuracy 98.82, exact match 83.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 16:56 Iteration 00027800, loss   0.0252, accuracy 99.15, exact match 90.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 16:56 Iteration 00027900, loss   0.0285, accuracy 98.71, exact match 84.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 16:57 Iteration 00028000, loss   0.0258, accuracy 98.98, exact match 86.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 16:57 Evaluating..
2020-01-28 16:58 Predicted for 2001 examples.
2020-01-28 16:58 Done predicting in 96.53973054885864 seconds.
2020-01-28 16:58   Evaluation Accuracy: 97.02 Exact Match: 88.90  Target Accuracy:  0.00
2020-01-28 16:59 Iteration 00028100, loss   0.0307, accuracy 98.76, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:00 Iteration 00028200, loss   0.0261, accuracy 99.16, exact match 90.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:00 Iteration 00028300, loss   0.0368, accuracy 98.74, exact match 83.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:01 Iteration 00028400, loss   0.0235, accuracy 99.02, exact match 86.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:02 Iteration 00028500, loss   0.0266, accuracy 98.83, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:02 Iteration 00028600, loss   0.0189, accuracy 99.19, exact match 88.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:03 Iteration 00028700, loss   0.0234, accuracy 98.84, exact match 86.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:04 Iteration 00028800, loss   0.0283, accuracy 99.02, exact match 88.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:04 Iteration 00028900, loss   0.0301, accuracy 98.84, exact match 84.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:05 Iteration 00029000, loss   0.0223, accuracy 99.15, exact match 89.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:05 Evaluating..
2020-01-28 17:06 Predicted for 2001 examples.
2020-01-28 17:06 Done predicting in 96.33129930496216 seconds.
2020-01-28 17:06   Evaluation Accuracy: 97.24 Exact Match: 89.90  Target Accuracy:  0.00
2020-01-28 17:07 Iteration 00029100, loss   0.0277, accuracy 98.84, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:08 Iteration 00029200, loss   0.0283, accuracy 98.98, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:08 Iteration 00029300, loss   0.0231, accuracy 99.27, exact match 90.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:09 Iteration 00029400, loss   0.0223, accuracy 99.21, exact match 89.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:10 Iteration 00029500, loss   0.0248, accuracy 98.98, exact match 87.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:10 Iteration 00029600, loss   0.0189, accuracy 99.42, exact match 92.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:11 Iteration 00029700, loss   0.0315, accuracy 98.76, exact match 84.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-28 17:11 Iteration 00029800, loss   0.0203, accuracy 99.24, exact match 90.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:12 Iteration 00029900, loss   0.0270, accuracy 98.82, exact match 86.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:13 Iteration 00030000, loss   0.0268, accuracy 98.99, exact match 86.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:13 Evaluating..
2020-01-28 17:14 Predicted for 2001 examples.
2020-01-28 17:14 Done predicting in 96.31753158569336 seconds.
2020-01-28 17:14   Evaluation Accuracy: 96.97 Exact Match: 89.60  Target Accuracy:  0.00
2020-01-28 17:15 Iteration 00030100, loss   0.0250, accuracy 99.12, exact match 87.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:16 Iteration 00030200, loss   0.0249, accuracy 99.11, exact match 88.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:16 Iteration 00030300, loss   0.0263, accuracy 99.11, exact match 89.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:17 Iteration 00030400, loss   0.0198, accuracy 99.35, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:17 Iteration 00030500, loss   0.0167, accuracy 99.38, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:18 Iteration 00030600, loss   0.0219, accuracy 98.98, exact match 85.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:19 Iteration 00030700, loss   0.0267, accuracy 98.97, exact match 86.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:19 Iteration 00030800, loss   0.0203, accuracy 99.12, exact match 90.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:20 Iteration 00030900, loss   0.0311, accuracy 98.77, exact match 86.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:21 Iteration 00031000, loss   0.0257, accuracy 98.86, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:21 Evaluating..
2020-01-28 17:22 Predicted for 2001 examples.
2020-01-28 17:22 Done predicting in 97.31695795059204 seconds.
2020-01-28 17:22   Evaluation Accuracy: 97.06 Exact Match: 89.50  Target Accuracy:  0.00
2020-01-28 17:23 Iteration 00031100, loss   0.0296, accuracy 98.59, exact match 82.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:23 Iteration 00031200, loss   0.0254, accuracy 99.05, exact match 87.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:24 Iteration 00031300, loss   0.0348, accuracy 98.80, exact match 84.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:25 Iteration 00031400, loss   0.0277, accuracy 99.14, exact match 88.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:25 Iteration 00031500, loss   0.0227, accuracy 99.11, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:26 Iteration 00031600, loss   0.0187, accuracy 99.39, exact match 92.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:27 Iteration 00031700, loss   0.0201, accuracy 99.24, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:27 Iteration 00031800, loss   0.0214, accuracy 99.25, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:28 Iteration 00031900, loss   0.0290, accuracy 99.09, exact match 88.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-28 17:28 Iteration 00032000, loss   0.0312, accuracy 98.96, exact match 87.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:28 Evaluating..
2020-01-28 17:30 Predicted for 2001 examples.
2020-01-28 17:30 Done predicting in 95.63480067253113 seconds.
2020-01-28 17:30   Evaluation Accuracy: 98.04 Exact Match: 92.30  Target Accuracy:  0.00
2020-01-28 17:31 Iteration 00032100, loss   0.0131, accuracy 99.55, exact match 94.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:31 Iteration 00032200, loss   0.0243, accuracy 99.19, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:32 Iteration 00032300, loss   0.0199, accuracy 99.21, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:33 Iteration 00032400, loss   0.0219, accuracy 99.10, exact match 89.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:33 Iteration 00032500, loss   0.0219, accuracy 99.17, exact match 89.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:34 Iteration 00032600, loss   0.0294, accuracy 98.74, exact match 85.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:34 Iteration 00032700, loss   0.0184, accuracy 99.53, exact match 94.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:35 Iteration 00032800, loss   0.0217, accuracy 99.12, exact match 88.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:36 Iteration 00032900, loss   0.0246, accuracy 99.13, exact match 88.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:36 Iteration 00033000, loss   0.0263, accuracy 99.02, exact match 86.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:36 Evaluating..
2020-01-28 17:38 Predicted for 2001 examples.
2020-01-28 17:38 Done predicting in 96.04783415794373 seconds.
2020-01-28 17:38   Evaluation Accuracy: 97.57 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 17:39 Iteration 00033100, loss   0.0373, accuracy 98.51, exact match 83.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:39 Iteration 00033200, loss   0.0201, accuracy 99.23, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:40 Iteration 00033300, loss   0.0177, accuracy 99.29, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:40 Iteration 00033400, loss   0.0303, accuracy 98.87, exact match 85.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:41 Iteration 00033500, loss   0.0174, accuracy 99.40, exact match 92.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:42 Iteration 00033600, loss   0.0202, accuracy 99.37, exact match 91.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:42 Iteration 00033700, loss   0.0190, accuracy 99.30, exact match 91.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:43 Iteration 00033800, loss   0.0213, accuracy 99.19, exact match 90.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:44 Iteration 00033900, loss   0.0287, accuracy 98.91, exact match 86.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:44 Iteration 00034000, loss   0.0215, accuracy 99.30, exact match 91.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:44 Evaluating..
2020-01-28 17:46 Predicted for 2001 examples.
2020-01-28 17:46 Done predicting in 95.7786910533905 seconds.
2020-01-28 17:46   Evaluation Accuracy: 97.85 Exact Match: 91.70  Target Accuracy:  0.00
2020-01-28 17:46 Iteration 00034100, loss   0.0276, accuracy 99.03, exact match 87.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:47 Iteration 00034200, loss   0.0181, accuracy 99.27, exact match 89.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-28 17:48 Iteration 00034300, loss   0.0260, accuracy 98.94, exact match 86.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:48 Iteration 00034400, loss   0.0196, accuracy 99.18, exact match 89.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:49 Iteration 00034500, loss   0.0214, accuracy 99.14, exact match 88.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:50 Iteration 00034600, loss   0.0172, accuracy 99.38, exact match 91.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:50 Iteration 00034700, loss   0.0241, accuracy 98.98, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:51 Iteration 00034800, loss   0.0191, accuracy 99.29, exact match 89.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:51 Iteration 00034900, loss   0.0303, accuracy 98.99, exact match 87.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:52 Iteration 00035000, loss   0.0200, accuracy 99.38, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:52 Evaluating..
2020-01-28 17:54 Predicted for 2001 examples.
2020-01-28 17:54 Done predicting in 98.01679396629333 seconds.
2020-01-28 17:54   Evaluation Accuracy: 97.57 Exact Match: 91.10  Target Accuracy:  0.00
2020-01-28 17:54 Iteration 00035100, loss   0.0257, accuracy 98.94, exact match 88.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:55 Iteration 00035200, loss   0.0182, accuracy 99.24, exact match 90.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:56 Iteration 00035300, loss   0.0196, accuracy 99.20, exact match 89.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:56 Iteration 00035400, loss   0.0147, accuracy 99.52, exact match 93.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:57 Iteration 00035500, loss   0.0251, accuracy 99.09, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:58 Iteration 00035600, loss   0.0204, accuracy 99.22, exact match 89.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:58 Iteration 00035700, loss   0.0176, accuracy 99.29, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:59 Iteration 00035800, loss   0.0205, accuracy 99.07, exact match 88.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 17:59 Iteration 00035900, loss   0.0207, accuracy 99.26, exact match 90.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:00 Iteration 00036000, loss   0.0204, accuracy 99.32, exact match 91.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:00 Evaluating..
2020-01-28 18:02 Predicted for 2001 examples.
2020-01-28 18:02 Done predicting in 95.74378061294556 seconds.
2020-01-28 18:02   Evaluation Accuracy: 97.71 Exact Match: 91.55  Target Accuracy:  0.00
2020-01-28 18:02 Iteration 00036100, loss   0.0335, accuracy 98.74, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:03 Iteration 00036200, loss   0.0184, accuracy 99.30, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:04 Iteration 00036300, loss   0.0249, accuracy 99.34, exact match 91.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:04 Iteration 00036400, loss   0.0167, accuracy 99.44, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:05 Iteration 00036500, loss   0.0167, accuracy 99.44, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-28 18:05 Iteration 00036600, loss   0.0220, accuracy 99.07, exact match 88.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:06 Iteration 00036700, loss   0.0228, accuracy 99.07, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:07 Iteration 00036800, loss   0.0190, accuracy 99.15, exact match 91.97, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:07 Iteration 00036900, loss   0.0184, accuracy 99.27, exact match 91.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:08 Iteration 00037000, loss   0.0211, accuracy 99.07, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:08 Evaluating..
2020-01-28 18:10 Predicted for 2001 examples.
2020-01-28 18:10 Done predicting in 96.10156869888306 seconds.
2020-01-28 18:10   Evaluation Accuracy: 98.04 Exact Match: 92.15  Target Accuracy:  0.00
2020-01-28 18:10 Iteration 00037100, loss   0.0300, accuracy 98.88, exact match 86.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:11 Iteration 00037200, loss   0.0153, accuracy 99.46, exact match 92.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:11 Iteration 00037300, loss   0.0188, accuracy 99.52, exact match 94.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:12 Iteration 00037400, loss   0.0230, accuracy 99.12, exact match 88.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:13 Iteration 00037500, loss   0.0205, accuracy 99.19, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:13 Iteration 00037600, loss   0.0209, accuracy 99.31, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:14 Iteration 00037700, loss   0.0264, accuracy 99.21, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:15 Iteration 00037800, loss   0.0151, accuracy 99.43, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:15 Iteration 00037900, loss   0.0194, accuracy 99.31, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:16 Iteration 00038000, loss   0.0146, accuracy 99.49, exact match 92.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:16 Evaluating..
2020-01-28 18:17 Predicted for 2001 examples.
2020-01-28 18:17 Done predicting in 95.74443054199219 seconds.
2020-01-28 18:17   Evaluation Accuracy: 97.71 Exact Match: 91.90  Target Accuracy:  0.00
2020-01-28 18:18 Iteration 00038100, loss   0.0165, accuracy 99.34, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:19 Iteration 00038200, loss   0.0277, accuracy 98.96, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:19 Iteration 00038300, loss   0.0247, accuracy 98.94, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:20 Iteration 00038400, loss   0.0141, accuracy 99.38, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:21 Iteration 00038500, loss   0.0167, accuracy 99.49, exact match 92.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:21 Iteration 00038600, loss   0.0209, accuracy 99.35, exact match 90.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:22 Iteration 00038700, loss   0.0212, accuracy 99.24, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:22 Iteration 00038800, loss   0.0232, accuracy 99.00, exact match 86.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-28 18:23 Iteration 00038900, loss   0.0228, accuracy 98.97, exact match 86.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:24 Iteration 00039000, loss   0.0129, accuracy 99.52, exact match 93.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:24 Evaluating..
2020-01-28 18:25 Predicted for 2001 examples.
2020-01-28 18:25 Done predicting in 96.02368307113647 seconds.
2020-01-28 18:25   Evaluation Accuracy: 98.03 Exact Match: 92.45  Target Accuracy:  0.00
2020-01-28 18:26 Iteration 00039100, loss   0.0325, accuracy 98.81, exact match 84.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:27 Iteration 00039200, loss   0.0213, accuracy 99.19, exact match 90.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:27 Iteration 00039300, loss   0.0151, accuracy 99.47, exact match 93.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:28 Iteration 00039400, loss   0.0172, accuracy 99.29, exact match 91.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:28 Iteration 00039500, loss   0.0261, accuracy 99.09, exact match 88.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:29 Iteration 00039600, loss   0.0191, accuracy 99.33, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:30 Iteration 00039700, loss   0.0124, accuracy 99.55, exact match 94.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:30 Iteration 00039800, loss   0.0197, accuracy 99.15, exact match 89.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:31 Iteration 00039900, loss   0.0165, accuracy 99.40, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:32 Iteration 00040000, loss   0.0127, accuracy 99.47, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:32 Evaluating..
2020-01-28 18:33 Predicted for 2001 examples.
2020-01-28 18:33 Done predicting in 95.30102229118347 seconds.
2020-01-28 18:33   Evaluation Accuracy: 98.15 Exact Match: 93.10  Target Accuracy:  0.00
2020-01-28 18:34 Iteration 00040100, loss   0.0234, accuracy 99.29, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:34 Iteration 00040200, loss   0.0124, accuracy 99.61, exact match 94.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:35 Iteration 00040300, loss   0.0166, accuracy 99.54, exact match 94.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:36 Iteration 00040400, loss   0.0199, accuracy 99.21, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:36 Iteration 00040500, loss   0.0169, accuracy 99.30, exact match 91.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:37 Iteration 00040600, loss   0.0101, accuracy 99.66, exact match 95.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:38 Iteration 00040700, loss   0.0139, accuracy 99.31, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:38 Iteration 00040800, loss   0.0203, accuracy 99.29, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:39 Iteration 00040900, loss   0.0185, accuracy 99.32, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:39 Iteration 00041000, loss   0.0231, accuracy 99.25, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:39 Evaluating..
2020-01-28 18:41 Predicted for 2001 examples.
2020-01-28 18:41 Done predicting in 95.80680561065674 seconds.
2020-01-28 18:41   Evaluation Accuracy: 97.97 Exact Match: 92.60  Target Accuracy:  0.00
2020-01-28 18:42 Iteration 00041100, loss   0.0195, accuracy 99.31, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-28 18:42 Iteration 00041200, loss   0.0251, accuracy 99.03, exact match 87.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:43 Iteration 00041300, loss   0.0154, accuracy 99.49, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:44 Iteration 00041400, loss   0.0139, accuracy 99.42, exact match 92.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:44 Iteration 00041500, loss   0.0208, accuracy 99.10, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:45 Iteration 00041600, loss   0.0233, accuracy 98.93, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:45 Iteration 00041700, loss   0.0183, accuracy 99.29, exact match 91.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:46 Iteration 00041800, loss   0.0223, accuracy 99.34, exact match 92.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:47 Iteration 00041900, loss   0.0116, accuracy 99.58, exact match 94.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:47 Iteration 00042000, loss   0.0197, accuracy 99.17, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:47 Evaluating..
2020-01-28 18:49 Predicted for 2001 examples.
2020-01-28 18:49 Done predicting in 95.70711827278137 seconds.
2020-01-28 18:49   Evaluation Accuracy: 98.04 Exact Match: 92.60  Target Accuracy:  0.00
2020-01-28 18:50 Iteration 00042100, loss   0.0177, accuracy 99.38, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:50 Iteration 00042200, loss   0.0139, accuracy 99.50, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:51 Iteration 00042300, loss   0.0118, accuracy 99.51, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:51 Iteration 00042400, loss   0.0175, accuracy 99.23, exact match 91.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:52 Iteration 00042500, loss   0.0209, accuracy 99.17, exact match 90.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:53 Iteration 00042600, loss   0.0177, accuracy 99.26, exact match 90.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:53 Iteration 00042700, loss   0.0177, accuracy 99.52, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:54 Iteration 00042800, loss   0.0167, accuracy 99.40, exact match 92.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:55 Iteration 00042900, loss   0.0260, accuracy 99.03, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:55 Iteration 00043000, loss   0.0212, accuracy 99.18, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:55 Evaluating..
2020-01-28 18:57 Predicted for 2001 examples.
2020-01-28 18:57 Done predicting in 95.47411823272705 seconds.
2020-01-28 18:57   Evaluation Accuracy: 98.03 Exact Match: 92.20  Target Accuracy:  0.00
2020-01-28 18:57 Iteration 00043100, loss   0.0244, accuracy 98.84, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:58 Iteration 00043200, loss   0.0211, accuracy 99.26, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:59 Iteration 00043300, loss   0.0162, accuracy 99.35, exact match 91.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 18:59 Iteration 00043400, loss   0.0180, accuracy 99.27, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 19:00 Iteration 00043500, loss   0.0184, accuracy 99.46, exact match 93.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-28 19:01 Iteration 00043600, loss   0.0163, accuracy 99.40, exact match 91.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:01 Iteration 00043700, loss   0.0197, accuracy 99.38, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:02 Iteration 00043800, loss   0.0245, accuracy 99.18, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:02 Iteration 00043900, loss   0.0166, accuracy 99.37, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:03 Iteration 00044000, loss   0.0200, accuracy 99.08, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:03 Evaluating..
2020-01-28 19:05 Predicted for 2001 examples.
2020-01-28 19:05 Done predicting in 95.68820333480835 seconds.
2020-01-28 19:05   Evaluation Accuracy: 98.31 Exact Match: 93.55  Target Accuracy:  0.00
2020-01-28 19:05 Iteration 00044100, loss   0.0137, accuracy 99.50, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:06 Iteration 00044200, loss   0.0204, accuracy 99.40, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:07 Iteration 00044300, loss   0.0169, accuracy 99.32, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:07 Iteration 00044400, loss   0.0186, accuracy 99.40, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:08 Iteration 00044500, loss   0.0127, accuracy 99.48, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:08 Iteration 00044600, loss   0.0137, accuracy 99.41, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:09 Iteration 00044700, loss   0.0170, accuracy 99.50, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:10 Iteration 00044800, loss   0.0148, accuracy 99.53, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:10 Iteration 00044900, loss   0.0233, accuracy 99.45, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:11 Iteration 00045000, loss   0.0134, accuracy 99.48, exact match 92.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:11 Evaluating..
2020-01-28 19:13 Predicted for 2001 examples.
2020-01-28 19:13 Done predicting in 96.20106315612793 seconds.
2020-01-28 19:13   Evaluation Accuracy: 98.08 Exact Match: 93.00  Target Accuracy:  0.00
2020-01-28 19:13 Iteration 00045100, loss   0.0181, accuracy 99.26, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:14 Iteration 00045200, loss   0.0188, accuracy 99.40, exact match 91.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:14 Iteration 00045300, loss   0.0199, accuracy 99.17, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:15 Iteration 00045400, loss   0.0234, accuracy 99.08, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:16 Iteration 00045500, loss   0.0189, accuracy 99.33, exact match 92.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:16 Iteration 00045600, loss   0.0136, accuracy 99.43, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:17 Iteration 00045700, loss   0.0215, accuracy 99.17, exact match 90.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:18 Iteration 00045800, loss   0.0137, accuracy 99.53, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:18 Iteration 00045900, loss   0.0150, accuracy 99.43, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-28 19:19 Iteration 00046000, loss   0.0178, accuracy 99.37, exact match 90.51, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:19 Evaluating..
2020-01-28 19:20 Predicted for 2001 examples.
2020-01-28 19:20 Done predicting in 96.80885791778564 seconds.
2020-01-28 19:20   Evaluation Accuracy: 98.24 Exact Match: 93.45  Target Accuracy:  0.00
2020-01-28 19:21 Iteration 00046100, loss   0.0170, accuracy 99.45, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:22 Iteration 00046200, loss   0.0220, accuracy 99.06, exact match 87.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:22 Iteration 00046300, loss   0.0177, accuracy 99.41, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:23 Iteration 00046400, loss   0.0113, accuracy 99.58, exact match 94.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:24 Iteration 00046500, loss   0.0255, accuracy 99.22, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:24 Iteration 00046600, loss   0.0182, accuracy 99.24, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:25 Iteration 00046700, loss   0.0133, accuracy 99.54, exact match 94.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:26 Iteration 00046800, loss   0.0146, accuracy 99.50, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:26 Iteration 00046900, loss   0.0110, accuracy 99.63, exact match 95.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:27 Iteration 00047000, loss   0.0156, accuracy 99.45, exact match 94.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:27 Evaluating..
2020-01-28 19:28 Predicted for 2001 examples.
2020-01-28 19:28 Done predicting in 96.26135921478271 seconds.
2020-01-28 19:28   Evaluation Accuracy: 98.33 Exact Match: 93.50  Target Accuracy:  0.00
2020-01-28 19:29 Iteration 00047100, loss   0.0116, accuracy 99.59, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:30 Iteration 00047200, loss   0.0132, accuracy 99.38, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:30 Iteration 00047300, loss   0.0164, accuracy 99.18, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:31 Iteration 00047400, loss   0.0107, accuracy 99.54, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:32 Iteration 00047500, loss   0.0179, accuracy 99.30, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:32 Iteration 00047600, loss   0.0132, accuracy 99.63, exact match 94.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:33 Iteration 00047700, loss   0.0178, accuracy 99.40, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:34 Iteration 00047800, loss   0.0195, accuracy 99.23, exact match 88.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:34 Iteration 00047900, loss   0.0185, accuracy 99.43, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:35 Iteration 00048000, loss   0.0130, accuracy 99.64, exact match 95.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:35 Evaluating..
2020-01-28 19:36 Predicted for 2001 examples.
2020-01-28 19:36 Done predicting in 95.57582259178162 seconds.
2020-01-28 19:36   Evaluation Accuracy: 98.45 Exact Match: 93.95  Target Accuracy:  0.00
2020-01-28 19:37 Iteration 00048100, loss   0.0319, accuracy 98.77, exact match 84.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:38 Iteration 00048200, loss   0.0250, accuracy 99.14, exact match 89.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:38 Iteration 00048300, loss   0.0195, accuracy 99.34, exact match 92.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-28 19:39 Iteration 00048400, loss   0.0181, accuracy 99.37, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:40 Iteration 00048500, loss   0.0160, accuracy 99.38, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:40 Iteration 00048600, loss   0.0132, accuracy 99.58, exact match 94.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:41 Iteration 00048700, loss   0.0158, accuracy 99.47, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:41 Iteration 00048800, loss   0.0129, accuracy 99.52, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:42 Iteration 00048900, loss   0.0167, accuracy 99.42, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:43 Iteration 00049000, loss   0.0163, accuracy 99.39, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:43 Evaluating..
2020-01-28 19:44 Predicted for 2001 examples.
2020-01-28 19:44 Done predicting in 96.30874991416931 seconds.
2020-01-28 19:44   Evaluation Accuracy: 98.15 Exact Match: 93.15  Target Accuracy:  0.00
2020-01-28 19:45 Iteration 00049100, loss   0.0172, accuracy 99.41, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:46 Iteration 00049200, loss   0.0118, accuracy 99.51, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:46 Iteration 00049300, loss   0.0116, accuracy 99.57, exact match 94.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:47 Iteration 00049400, loss   0.0136, accuracy 99.43, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:47 Iteration 00049500, loss   0.0199, accuracy 99.11, exact match 87.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:48 Iteration 00049600, loss   0.0142, accuracy 99.41, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:49 Iteration 00049700, loss   0.0122, accuracy 99.50, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:49 Iteration 00049800, loss   0.0177, accuracy 99.31, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:50 Iteration 00049900, loss   0.0116, accuracy 99.63, exact match 96.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:51 Iteration 00050000, loss   0.0139, accuracy 99.48, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:51 Evaluating..
2020-01-28 19:52 Predicted for 2001 examples.
2020-01-28 19:52 Done predicting in 96.43484735488892 seconds.
2020-01-28 19:52   Evaluation Accuracy: 98.33 Exact Match: 93.65  Target Accuracy:  0.00
2020-01-28 19:53 Iteration 00050100, loss   0.0185, accuracy 99.32, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:53 Iteration 00050200, loss   0.0111, accuracy 99.58, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:54 Iteration 00050300, loss   0.0112, accuracy 99.67, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:55 Iteration 00050400, loss   0.0092, accuracy 99.61, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:55 Iteration 00050500, loss   0.0199, accuracy 99.16, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:56 Iteration 00050600, loss   0.0088, accuracy 99.70, exact match 95.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:57 Iteration 00050700, loss   0.0146, accuracy 99.46, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:57 Iteration 00050800, loss   0.0159, accuracy 99.42, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-28 19:58 Iteration 00050900, loss   0.0230, accuracy 99.30, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 19:59 Iteration 00051000, loss   0.0177, accuracy 99.38, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 19:59 Evaluating..
2020-01-28 20:00 Predicted for 2001 examples.
2020-01-28 20:00 Done predicting in 95.713942527771 seconds.
2020-01-28 20:00   Evaluation Accuracy: 98.37 Exact Match: 94.05  Target Accuracy:  0.00
2020-01-28 20:01 Iteration 00051100, loss   0.0186, accuracy 99.53, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:01 Iteration 00051200, loss   0.0145, accuracy 99.40, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:02 Iteration 00051300, loss   0.0149, accuracy 99.56, exact match 94.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:03 Iteration 00051400, loss   0.0168, accuracy 99.34, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:03 Iteration 00051500, loss   0.0155, accuracy 99.58, exact match 94.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:04 Iteration 00051600, loss   0.0102, accuracy 99.62, exact match 94.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:05 Iteration 00051700, loss   0.0169, accuracy 99.47, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:05 Iteration 00051800, loss   0.0165, accuracy 99.30, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:06 Iteration 00051900, loss   0.0182, accuracy 99.38, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:06 Iteration 00052000, loss   0.0155, accuracy 99.22, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:06 Evaluating..
2020-01-28 20:08 Predicted for 2001 examples.
2020-01-28 20:08 Done predicting in 97.09891366958618 seconds.
2020-01-28 20:08   Evaluation Accuracy: 98.63 Exact Match: 94.85  Target Accuracy:  0.00
2020-01-28 20:09 Iteration 00052100, loss   0.0156, accuracy 99.40, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:09 Iteration 00052200, loss   0.0123, accuracy 99.56, exact match 95.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:10 Iteration 00052300, loss   0.0163, accuracy 99.36, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:11 Iteration 00052400, loss   0.0156, accuracy 99.49, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:11 Iteration 00052500, loss   0.0199, accuracy 99.40, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:12 Iteration 00052600, loss   0.0132, accuracy 99.62, exact match 95.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:13 Iteration 00052700, loss   0.0181, accuracy 99.39, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:13 Iteration 00052800, loss   0.0187, accuracy 99.20, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:14 Iteration 00052900, loss   0.0119, accuracy 99.45, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:14 Iteration 00053000, loss   0.0133, accuracy 99.71, exact match 96.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:14 Evaluating..
2020-01-28 20:16 Predicted for 2001 examples.
2020-01-28 20:16 Done predicting in 96.93408441543579 seconds.
2020-01-28 20:16   Evaluation Accuracy: 98.74 Exact Match: 94.85  Target Accuracy:  0.00
2020-01-28 20:17 Iteration 00053100, loss   0.0220, accuracy 99.24, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:17 Iteration 00053200, loss   0.0187, accuracy 99.47, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:18 Iteration 00053300, loss   0.0216, accuracy 99.43, exact match 94.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 20:19 Iteration 00053400, loss   0.0132, accuracy 99.54, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:19 Iteration 00053500, loss   0.0155, accuracy 99.36, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:20 Iteration 00053600, loss   0.0096, accuracy 99.67, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:21 Iteration 00053700, loss   0.0162, accuracy 99.32, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:21 Iteration 00053800, loss   0.0153, accuracy 99.35, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:22 Iteration 00053900, loss   0.0161, accuracy 99.44, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:23 Iteration 00054000, loss   0.0191, accuracy 99.52, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:23 Evaluating..
2020-01-28 20:24 Predicted for 2001 examples.
2020-01-28 20:24 Done predicting in 97.22734999656677 seconds.
2020-01-28 20:24   Evaluation Accuracy: 98.58 Exact Match: 94.30  Target Accuracy:  0.00
2020-01-28 20:25 Iteration 00054100, loss   0.0173, accuracy 99.24, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:25 Iteration 00054200, loss   0.0142, accuracy 99.53, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:26 Iteration 00054300, loss   0.0105, accuracy 99.57, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:27 Iteration 00054400, loss   0.0124, accuracy 99.65, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:27 Iteration 00054500, loss   0.0167, accuracy 99.61, exact match 94.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:28 Iteration 00054600, loss   0.0121, accuracy 99.62, exact match 95.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:29 Iteration 00054700, loss   0.0118, accuracy 99.49, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:29 Iteration 00054800, loss   0.0145, accuracy 99.35, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:30 Iteration 00054900, loss   0.0129, accuracy 99.55, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:31 Iteration 00055000, loss   0.0127, accuracy 99.48, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:31 Evaluating..
2020-01-28 20:32 Predicted for 2001 examples.
2020-01-28 20:32 Done predicting in 97.41035079956055 seconds.
2020-01-28 20:32   Evaluation Accuracy: 98.47 Exact Match: 94.60  Target Accuracy:  0.00
2020-01-28 20:33 Iteration 00055100, loss   0.0185, accuracy 99.38, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:33 Iteration 00055200, loss   0.0121, accuracy 99.71, exact match 95.62, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:34 Iteration 00055300, loss   0.0110, accuracy 99.59, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:35 Iteration 00055400, loss   0.0147, accuracy 99.37, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:35 Iteration 00055500, loss   0.0158, accuracy 99.70, exact match 95.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:36 Iteration 00055600, loss   0.0169, accuracy 99.47, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:37 Iteration 00055700, loss   0.0142, accuracy 99.38, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:37 Iteration 00055800, loss   0.0100, accuracy 99.63, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 20:38 Iteration 00055900, loss   0.0151, accuracy 99.62, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:39 Iteration 00056000, loss   0.0139, accuracy 99.55, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:39 Evaluating..
2020-01-28 20:40 Predicted for 2001 examples.
2020-01-28 20:40 Done predicting in 97.22569823265076 seconds.
2020-01-28 20:40   Evaluation Accuracy: 98.55 Exact Match: 94.35  Target Accuracy:  0.00
2020-01-28 20:41 Iteration 00056100, loss   0.0200, accuracy 99.33, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:41 Iteration 00056200, loss   0.0143, accuracy 99.49, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:42 Iteration 00056300, loss   0.0154, accuracy 99.37, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:43 Iteration 00056400, loss   0.0100, accuracy 99.68, exact match 96.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:43 Iteration 00056500, loss   0.0126, accuracy 99.45, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:44 Iteration 00056600, loss   0.0177, accuracy 99.34, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:45 Iteration 00056700, loss   0.0135, accuracy 99.51, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:45 Iteration 00056800, loss   0.0125, accuracy 99.46, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:46 Iteration 00056900, loss   0.0168, accuracy 99.41, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:47 Iteration 00057000, loss   0.0135, accuracy 99.39, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:47 Evaluating..
2020-01-28 20:48 Predicted for 2001 examples.
2020-01-28 20:48 Done predicting in 97.1950466632843 seconds.
2020-01-28 20:48   Evaluation Accuracy: 98.58 Exact Match: 94.75  Target Accuracy:  0.00
2020-01-28 20:49 Iteration 00057100, loss   0.0150, accuracy 99.58, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:50 Iteration 00057200, loss   0.0187, accuracy 99.16, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:50 Iteration 00057300, loss   0.0168, accuracy 99.31, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:51 Iteration 00057400, loss   0.0148, accuracy 99.44, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:51 Iteration 00057500, loss   0.0171, accuracy 99.52, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:52 Iteration 00057600, loss   0.0181, accuracy 99.18, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:53 Iteration 00057700, loss   0.0175, accuracy 99.25, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:53 Iteration 00057800, loss   0.0167, accuracy 99.25, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:54 Iteration 00057900, loss   0.0141, accuracy 99.42, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:55 Iteration 00058000, loss   0.0129, accuracy 99.47, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:55 Evaluating..
2020-01-28 20:56 Predicted for 2001 examples.
2020-01-28 20:56 Done predicting in 97.3519835472107 seconds.
2020-01-28 20:56   Evaluation Accuracy: 98.48 Exact Match: 94.45  Target Accuracy:  0.00
2020-01-28 20:57 Iteration 00058100, loss   0.0112, accuracy 99.63, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:58 Iteration 00058200, loss   0.0138, accuracy 99.48, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:58 Iteration 00058300, loss   0.0197, accuracy 99.26, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:59 Iteration 00058400, loss   0.0181, accuracy 99.27, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 20:59 Iteration 00058500, loss   0.0153, accuracy 99.42, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:00 Iteration 00058600, loss   0.0158, accuracy 99.31, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:01 Iteration 00058700, loss   0.0148, accuracy 99.44, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:01 Iteration 00058800, loss   0.0178, accuracy 99.40, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:02 Iteration 00058900, loss   0.0178, accuracy 99.49, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:03 Iteration 00059000, loss   0.0226, accuracy 99.09, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:03 Evaluating..
2020-01-28 21:04 Predicted for 2001 examples.
2020-01-28 21:04 Done predicting in 97.03261399269104 seconds.
2020-01-28 21:04   Evaluation Accuracy: 98.63 Exact Match: 94.65  Target Accuracy:  0.00
2020-01-28 21:05 Iteration 00059100, loss   0.0135, accuracy 99.48, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:06 Iteration 00059200, loss   0.0160, accuracy 99.25, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:06 Iteration 00059300, loss   0.0159, accuracy 99.36, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:07 Iteration 00059400, loss   0.0144, accuracy 99.53, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:07 Iteration 00059500, loss   0.0097, accuracy 99.55, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:08 Iteration 00059600, loss   0.0136, accuracy 99.54, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:09 Iteration 00059700, loss   0.0125, accuracy 99.55, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:09 Iteration 00059800, loss   0.0172, accuracy 99.44, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:10 Iteration 00059900, loss   0.0181, accuracy 99.40, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:11 Iteration 00060000, loss   0.0217, accuracy 99.22, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:11 Evaluating..
2020-01-28 21:12 Predicted for 2001 examples.
2020-01-28 21:12 Done predicting in 97.42562818527222 seconds.
2020-01-28 21:12   Evaluation Accuracy: 98.44 Exact Match: 94.60  Target Accuracy:  0.00
2020-01-28 21:13 Iteration 00060100, loss   0.0135, accuracy 99.57, exact match 94.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:14 Iteration 00060200, loss   0.0168, accuracy 99.37, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:14 Iteration 00060300, loss   0.0168, accuracy 99.26, exact match 89.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:15 Iteration 00060400, loss   0.0178, accuracy 99.45, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:16 Iteration 00060500, loss   0.0110, accuracy 99.42, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:16 Iteration 00060600, loss   0.0109, accuracy 99.69, exact match 96.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:17 Iteration 00060700, loss   0.0161, accuracy 99.39, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:17 Iteration 00060800, loss   0.0082, accuracy 99.72, exact match 96.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:18 Iteration 00060900, loss   0.0172, accuracy 99.37, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:19 Iteration 00061000, loss   0.0122, accuracy 99.59, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 21:19 Evaluating..
2020-01-28 21:20 Predicted for 2001 examples.
2020-01-28 21:20 Done predicting in 97.70432543754578 seconds.
2020-01-28 21:20   Evaluation Accuracy: 98.72 Exact Match: 95.20  Target Accuracy:  0.00
2020-01-28 21:21 Iteration 00061100, loss   0.0090, accuracy 99.74, exact match 96.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:22 Iteration 00061200, loss   0.0170, accuracy 99.52, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:22 Iteration 00061300, loss   0.0126, accuracy 99.62, exact match 94.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:23 Iteration 00061400, loss   0.0119, accuracy 99.48, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:24 Iteration 00061500, loss   0.0101, accuracy 99.69, exact match 96.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:24 Iteration 00061600, loss   0.0089, accuracy 99.73, exact match 96.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:25 Iteration 00061700, loss   0.0115, accuracy 99.51, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:25 Iteration 00061800, loss   0.0103, accuracy 99.64, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:26 Iteration 00061900, loss   0.0089, accuracy 99.60, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:27 Iteration 00062000, loss   0.0163, accuracy 99.47, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:27 Evaluating..
2020-01-28 21:28 Predicted for 2001 examples.
2020-01-28 21:28 Done predicting in 97.36486315727234 seconds.
2020-01-28 21:28   Evaluation Accuracy: 98.52 Exact Match: 94.65  Target Accuracy:  0.00
2020-01-28 21:29 Iteration 00062100, loss   0.0108, accuracy 99.57, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:30 Iteration 00062200, loss   0.0166, accuracy 99.42, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:30 Iteration 00062300, loss   0.0097, accuracy 99.73, exact match 96.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:31 Iteration 00062400, loss   0.0183, accuracy 99.39, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:32 Iteration 00062500, loss   0.0144, accuracy 99.56, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:32 Iteration 00062600, loss   0.0101, accuracy 99.61, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:33 Iteration 00062700, loss   0.0116, accuracy 99.67, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:33 Iteration 00062800, loss   0.0181, accuracy 99.25, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:34 Iteration 00062900, loss   0.0134, accuracy 99.55, exact match 94.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:35 Iteration 00063000, loss   0.0113, accuracy 99.60, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:35 Evaluating..
2020-01-28 21:36 Predicted for 2001 examples.
2020-01-28 21:36 Done predicting in 95.64000105857849 seconds.
2020-01-28 21:36   Evaluation Accuracy: 98.50 Exact Match: 94.55  Target Accuracy:  0.00
2020-01-28 21:37 Iteration 00063100, loss   0.0083, accuracy 99.68, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:37 Iteration 00063200, loss   0.0141, accuracy 99.40, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:38 Iteration 00063300, loss   0.0141, accuracy 99.50, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:39 Iteration 00063400, loss   0.0161, accuracy 99.53, exact match 94.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:39 Iteration 00063500, loss   0.0088, accuracy 99.70, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:40 Iteration 00063600, loss   0.0202, accuracy 99.27, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 21:41 Iteration 00063700, loss   0.0130, accuracy 99.45, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:41 Iteration 00063800, loss   0.0093, accuracy 99.68, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:42 Iteration 00063900, loss   0.0122, accuracy 99.56, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:43 Iteration 00064000, loss   0.0105, accuracy 99.46, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:43 Evaluating..
2020-01-28 21:44 Predicted for 2001 examples.
2020-01-28 21:44 Done predicting in 95.52404928207397 seconds.
2020-01-28 21:44   Evaluation Accuracy: 98.64 Exact Match: 94.70  Target Accuracy:  0.00
2020-01-28 21:45 Iteration 00064100, loss   0.0136, accuracy 99.48, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:45 Iteration 00064200, loss   0.0097, accuracy 99.58, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:46 Iteration 00064300, loss   0.0112, accuracy 99.65, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:47 Iteration 00064400, loss   0.0166, accuracy 99.36, exact match 92.70, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:47 Iteration 00064500, loss   0.0150, accuracy 99.45, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:48 Iteration 00064600, loss   0.0093, accuracy 99.68, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:49 Iteration 00064700, loss   0.0120, accuracy 99.48, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:49 Iteration 00064800, loss   0.0109, accuracy 99.70, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:50 Iteration 00064900, loss   0.0094, accuracy 99.74, exact match 96.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:50 Iteration 00065000, loss   0.0132, accuracy 99.46, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:50 Evaluating..
2020-01-28 21:52 Predicted for 2001 examples.
2020-01-28 21:52 Done predicting in 95.35966229438782 seconds.
2020-01-28 21:52   Evaluation Accuracy: 98.13 Exact Match: 93.60  Target Accuracy:  0.00
2020-01-28 21:53 Iteration 00065100, loss   0.0132, accuracy 99.58, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:53 Iteration 00065200, loss   0.0135, accuracy 99.51, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:54 Iteration 00065300, loss   0.0149, accuracy 99.30, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:55 Iteration 00065400, loss   0.0099, accuracy 99.63, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:55 Iteration 00065500, loss   0.0142, accuracy 99.58, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:56 Iteration 00065600, loss   0.0103, accuracy 99.56, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:56 Iteration 00065700, loss   0.0116, accuracy 99.70, exact match 96.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:57 Iteration 00065800, loss   0.0125, accuracy 99.42, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:58 Iteration 00065900, loss   0.0157, accuracy 99.32, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:58 Iteration 00066000, loss   0.0098, accuracy 99.63, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 21:58 Evaluating..
2020-01-28 22:00 Predicted for 2001 examples.
2020-01-28 22:00 Done predicting in 95.60132265090942 seconds.
2020-01-28 22:00   Evaluation Accuracy: 98.68 Exact Match: 95.45  Target Accuracy:  0.00
2020-01-28 22:01 Iteration 00066100, loss   0.0097, accuracy 99.69, exact match 96.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 22:01 Iteration 00066200, loss   0.0145, accuracy 99.53, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 22:02 Iteration 00066300, loss   0.0116, accuracy 99.55, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 22:02 Iteration 00066400, loss   0.0093, accuracy 99.62, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:03 Iteration 00066500, loss   0.0134, accuracy 99.41, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:04 Iteration 00066600, loss   0.0156, accuracy 99.50, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:04 Iteration 00066700, loss   0.0088, accuracy 99.71, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:05 Iteration 00066800, loss   0.0165, accuracy 99.30, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:06 Iteration 00066900, loss   0.0124, accuracy 99.56, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:06 Iteration 00067000, loss   0.0093, accuracy 99.72, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:06 Evaluating..
2020-01-28 22:08 Predicted for 2001 examples.
2020-01-28 22:08 Done predicting in 94.9557614326477 seconds.
2020-01-28 22:08   Evaluation Accuracy: 98.98 Exact Match: 96.05  Target Accuracy:  0.00
2020-01-28 22:08 Iteration 00067100, loss   0.0172, accuracy 99.62, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:09 Iteration 00067200, loss   0.0073, accuracy 99.66, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:10 Iteration 00067300, loss   0.0104, accuracy 99.67, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:10 Iteration 00067400, loss   0.0112, accuracy 99.58, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:11 Iteration 00067500, loss   0.0107, accuracy 99.53, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:12 Iteration 00067600, loss   0.0129, accuracy 99.50, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:12 Iteration 00067700, loss   0.0097, accuracy 99.64, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:13 Iteration 00067800, loss   0.0148, accuracy 99.64, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:13 Iteration 00067900, loss   0.0166, accuracy 99.47, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:14 Iteration 00068000, loss   0.0104, accuracy 99.66, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:14 Evaluating..
2020-01-28 22:16 Predicted for 2001 examples.
2020-01-28 22:16 Done predicting in 95.47547626495361 seconds.
2020-01-28 22:16   Evaluation Accuracy: 98.63 Exact Match: 95.35  Target Accuracy:  0.00
2020-01-28 22:16 Iteration 00068100, loss   0.0116, accuracy 99.60, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:17 Iteration 00068200, loss   0.0109, accuracy 99.56, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:18 Iteration 00068300, loss   0.0110, accuracy 99.62, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:18 Iteration 00068400, loss   0.0130, accuracy 99.57, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:19 Iteration 00068500, loss   0.0129, accuracy 99.47, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:19 Iteration 00068600, loss   0.0173, accuracy 99.36, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:20 Iteration 00068700, loss   0.0093, accuracy 99.65, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:21 Iteration 00068800, loss   0.0100, accuracy 99.65, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:21 Iteration 00068900, loss   0.0160, accuracy 99.36, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:22 Iteration 00069000, loss   0.0118, accuracy 99.60, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 22:22 Evaluating..
2020-01-28 22:23 Predicted for 2001 examples.
2020-01-28 22:23 Done predicting in 95.40565943717957 seconds.
2020-01-28 22:23   Evaluation Accuracy: 98.66 Exact Match: 95.25  Target Accuracy:  0.00
2020-01-28 22:24 Iteration 00069100, loss   0.0120, accuracy 99.61, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:25 Iteration 00069200, loss   0.0212, accuracy 99.40, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:25 Iteration 00069300, loss   0.0156, accuracy 99.38, exact match 91.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:26 Iteration 00069400, loss   0.0136, accuracy 99.38, exact match 90.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:27 Iteration 00069500, loss   0.0138, accuracy 99.45, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:27 Iteration 00069600, loss   0.0142, accuracy 99.47, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:28 Iteration 00069700, loss   0.0099, accuracy 99.55, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:29 Iteration 00069800, loss   0.0131, accuracy 99.42, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:29 Iteration 00069900, loss   0.0175, accuracy 99.44, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:30 Iteration 00070000, loss   0.0091, accuracy 99.67, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:30 Evaluating..
2020-01-28 22:32 Predicted for 2001 examples.
2020-01-28 22:32 Done predicting in 97.57656669616699 seconds.
2020-01-28 22:32   Evaluation Accuracy: 98.73 Exact Match: 95.35  Target Accuracy:  0.00
2020-01-28 22:32 Iteration 00070100, loss   0.0132, accuracy 99.41, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:33 Iteration 00070200, loss   0.0088, accuracy 99.86, exact match 98.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:33 Iteration 00070300, loss   0.0140, accuracy 99.39, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:34 Iteration 00070400, loss   0.0076, accuracy 99.63, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:35 Iteration 00070500, loss   0.0187, accuracy 99.37, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:35 Iteration 00070600, loss   0.0075, accuracy 99.64, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:36 Iteration 00070700, loss   0.0082, accuracy 99.61, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:37 Iteration 00070800, loss   0.0157, accuracy 99.60, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:37 Iteration 00070900, loss   0.0120, accuracy 99.71, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:38 Iteration 00071000, loss   0.0097, accuracy 99.73, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:38 Evaluating..
2020-01-28 22:40 Predicted for 2001 examples.
2020-01-28 22:40 Done predicting in 97.01335072517395 seconds.
2020-01-28 22:40   Evaluation Accuracy: 98.86 Exact Match: 95.70  Target Accuracy:  0.00
2020-01-28 22:40 Iteration 00071100, loss   0.0146, accuracy 99.61, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:41 Iteration 00071200, loss   0.0137, accuracy 99.51, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:41 Iteration 00071300, loss   0.0105, accuracy 99.57, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:42 Iteration 00071400, loss   0.0190, accuracy 99.23, exact match 90.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:43 Iteration 00071500, loss   0.0106, accuracy 99.50, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:43 Iteration 00071600, loss   0.0090, accuracy 99.65, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:44 Iteration 00071700, loss   0.0096, accuracy 99.59, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:45 Iteration 00071800, loss   0.0108, accuracy 99.67, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 22:45 Iteration 00071900, loss   0.0108, accuracy 99.54, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:46 Iteration 00072000, loss   0.0088, accuracy 99.77, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:46 Evaluating..
2020-01-28 22:48 Predicted for 2001 examples.
2020-01-28 22:48 Done predicting in 97.51536870002747 seconds.
2020-01-28 22:48   Evaluation Accuracy: 98.85 Exact Match: 95.60  Target Accuracy:  0.00
2020-01-28 22:48 Iteration 00072100, loss   0.0117, accuracy 99.54, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:49 Iteration 00072200, loss   0.0111, accuracy 99.59, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:50 Iteration 00072300, loss   0.0101, accuracy 99.51, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:50 Iteration 00072400, loss   0.0160, accuracy 99.30, exact match 90.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:51 Iteration 00072500, loss   0.0125, accuracy 99.57, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:51 Iteration 00072600, loss   0.0067, accuracy 99.73, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:52 Iteration 00072700, loss   0.0134, accuracy 99.54, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:53 Iteration 00072800, loss   0.0068, accuracy 99.74, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:53 Iteration 00072900, loss   0.0134, accuracy 99.64, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:54 Iteration 00073000, loss   0.0120, accuracy 99.56, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:54 Evaluating..
2020-01-28 22:56 Predicted for 2001 examples.
2020-01-28 22:56 Done predicting in 97.28384160995483 seconds.
2020-01-28 22:56   Evaluation Accuracy: 98.66 Exact Match: 95.25  Target Accuracy:  0.00
2020-01-28 22:56 Iteration 00073100, loss   0.0124, accuracy 99.54, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:57 Iteration 00073200, loss   0.0083, accuracy 99.79, exact match 97.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:58 Iteration 00073300, loss   0.0098, accuracy 99.73, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:58 Iteration 00073400, loss   0.0098, accuracy 99.68, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:59 Iteration 00073500, loss   0.0126, accuracy 99.45, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 22:59 Iteration 00073600, loss   0.0104, accuracy 99.57, exact match 94.89, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:00 Iteration 00073700, loss   0.0131, accuracy 99.49, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:01 Iteration 00073800, loss   0.0084, accuracy 99.62, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:01 Iteration 00073900, loss   0.0098, accuracy 99.74, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:02 Iteration 00074000, loss   0.0120, accuracy 99.51, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:02 Evaluating..
2020-01-28 23:04 Predicted for 2001 examples.
2020-01-28 23:04 Done predicting in 97.50164651870728 seconds.
2020-01-28 23:04   Evaluation Accuracy: 98.65 Exact Match: 95.25  Target Accuracy:  0.00
2020-01-28 23:04 Iteration 00074100, loss   0.0086, accuracy 99.64, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:05 Iteration 00074200, loss   0.0141, accuracy 99.50, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:06 Iteration 00074300, loss   0.0115, accuracy 99.50, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:06 Iteration 00074400, loss   0.0115, accuracy 99.56, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:07 Iteration 00074500, loss   0.0080, accuracy 99.72, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:07 Iteration 00074600, loss   0.0130, accuracy 99.45, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 23:08 Iteration 00074700, loss   0.0199, accuracy 99.38, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:09 Iteration 00074800, loss   0.0068, accuracy 99.68, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:09 Iteration 00074900, loss   0.0111, accuracy 99.53, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:10 Iteration 00075000, loss   0.0124, accuracy 99.50, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:10 Evaluating..
2020-01-28 23:12 Predicted for 2001 examples.
2020-01-28 23:12 Done predicting in 94.90129113197327 seconds.
2020-01-28 23:12   Evaluation Accuracy: 98.68 Exact Match: 95.50  Target Accuracy:  0.00
2020-01-28 23:12 Iteration 00075100, loss   0.0061, accuracy 99.78, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:13 Iteration 00075200, loss   0.0111, accuracy 99.56, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:13 Iteration 00075300, loss   0.0111, accuracy 99.53, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:14 Iteration 00075400, loss   0.0107, accuracy 99.60, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:15 Iteration 00075500, loss   0.0090, accuracy 99.73, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:15 Iteration 00075600, loss   0.0095, accuracy 99.63, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:16 Iteration 00075700, loss   0.0076, accuracy 99.65, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:17 Iteration 00075800, loss   0.0105, accuracy 99.64, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:17 Iteration 00075900, loss   0.0068, accuracy 99.87, exact match 98.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:18 Iteration 00076000, loss   0.0113, accuracy 99.53, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:18 Evaluating..
2020-01-28 23:19 Predicted for 2001 examples.
2020-01-28 23:19 Done predicting in 95.05389714241028 seconds.
2020-01-28 23:19   Evaluation Accuracy: 98.96 Exact Match: 96.30  Target Accuracy:  0.00
2020-01-28 23:20 Iteration 00076100, loss   0.0119, accuracy 99.55, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:21 Iteration 00076200, loss   0.0068, accuracy 99.80, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:21 Iteration 00076300, loss   0.0079, accuracy 99.71, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:22 Iteration 00076400, loss   0.0109, accuracy 99.64, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:23 Iteration 00076500, loss   0.0120, accuracy 99.63, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:23 Iteration 00076600, loss   0.0104, accuracy 99.68, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:24 Iteration 00076700, loss   0.0150, accuracy 99.45, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:24 Iteration 00076800, loss   0.0109, accuracy 99.62, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:25 Iteration 00076900, loss   0.0091, accuracy 99.69, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:26 Iteration 00077000, loss   0.0186, accuracy 99.22, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:26 Evaluating..
2020-01-28 23:27 Predicted for 2001 examples.
2020-01-28 23:27 Done predicting in 95.1419005393982 seconds.
2020-01-28 23:27   Evaluation Accuracy: 98.78 Exact Match: 95.60  Target Accuracy:  0.00
2020-01-28 23:28 Iteration 00077100, loss   0.0127, accuracy 99.68, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:29 Iteration 00077200, loss   0.0103, accuracy 99.68, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:29 Iteration 00077300, loss   0.0097, accuracy 99.66, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:30 Iteration 00077400, loss   0.0076, accuracy 99.66, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 23:30 Iteration 00077500, loss   0.0137, accuracy 99.42, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:31 Iteration 00077600, loss   0.0097, accuracy 99.75, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:32 Iteration 00077700, loss   0.0101, accuracy 99.62, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:32 Iteration 00077800, loss   0.0161, accuracy 99.45, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:33 Iteration 00077900, loss   0.0102, accuracy 99.56, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:34 Iteration 00078000, loss   0.0150, accuracy 99.56, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:34 Evaluating..
2020-01-28 23:35 Predicted for 2001 examples.
2020-01-28 23:35 Done predicting in 95.59784388542175 seconds.
2020-01-28 23:35   Evaluation Accuracy: 98.65 Exact Match: 95.00  Target Accuracy:  0.00
2020-01-28 23:36 Iteration 00078100, loss   0.0154, accuracy 99.42, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:36 Iteration 00078200, loss   0.0116, accuracy 99.47, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:37 Iteration 00078300, loss   0.0167, accuracy 99.46, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:38 Iteration 00078400, loss   0.0132, accuracy 99.48, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:38 Iteration 00078500, loss   0.0122, accuracy 99.55, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:39 Iteration 00078600, loss   0.0090, accuracy 99.67, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:40 Iteration 00078700, loss   0.0141, accuracy 99.44, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:40 Iteration 00078800, loss   0.0091, accuracy 99.68, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:41 Iteration 00078900, loss   0.0094, accuracy 99.73, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:41 Iteration 00079000, loss   0.0117, accuracy 99.64, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:41 Evaluating..
2020-01-28 23:43 Predicted for 2001 examples.
2020-01-28 23:43 Done predicting in 95.19214105606079 seconds.
2020-01-28 23:43   Evaluation Accuracy: 98.92 Exact Match: 96.30  Target Accuracy:  0.00
2020-01-28 23:44 Iteration 00079100, loss   0.0122, accuracy 99.63, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:44 Iteration 00079200, loss   0.0127, accuracy 99.50, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:45 Iteration 00079300, loss   0.0088, accuracy 99.74, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:46 Iteration 00079400, loss   0.0102, accuracy 99.59, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:46 Iteration 00079500, loss   0.0066, accuracy 99.67, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:47 Iteration 00079600, loss   0.0105, accuracy 99.56, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:47 Iteration 00079700, loss   0.0126, accuracy 99.64, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:48 Iteration 00079800, loss   0.0149, accuracy 99.50, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:49 Iteration 00079900, loss   0.0189, accuracy 99.63, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:49 Iteration 00080000, loss   0.0149, accuracy 99.59, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:49 Evaluating..
2020-01-28 23:51 Predicted for 2001 examples.
2020-01-28 23:51 Done predicting in 95.20646977424622 seconds.
2020-01-28 23:51   Evaluation Accuracy: 98.76 Exact Match: 95.45  Target Accuracy:  0.00
2020-01-28 23:51 Iteration 00080100, loss   0.0081, accuracy 99.70, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:52 Iteration 00080200, loss   0.0077, accuracy 99.74, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:53 Iteration 00080300, loss   0.0087, accuracy 99.73, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 23:53 Iteration 00080400, loss   0.0193, accuracy 99.61, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:54 Iteration 00080500, loss   0.0165, accuracy 99.24, exact match 89.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:55 Iteration 00080600, loss   0.0064, accuracy 99.78, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:55 Iteration 00080700, loss   0.0119, accuracy 99.53, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:56 Iteration 00080800, loss   0.0120, accuracy 99.53, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:57 Iteration 00080900, loss   0.0230, accuracy 99.51, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:57 Iteration 00081000, loss   0.0070, accuracy 99.68, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 23:57 Evaluating..
2020-01-28 23:59 Predicted for 2001 examples.
2020-01-28 23:59 Done predicting in 95.4552493095398 seconds.
2020-01-28 23:59   Evaluation Accuracy: 98.75 Exact Match: 95.45  Target Accuracy:  0.00
2020-01-28 23:59 Iteration 00081100, loss   0.0056, accuracy 99.84, exact match 98.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:00 Iteration 00081200, loss   0.0113, accuracy 99.63, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:01 Iteration 00081300, loss   0.0105, accuracy 99.66, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:01 Iteration 00081400, loss   0.0101, accuracy 99.56, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:02 Iteration 00081500, loss   0.0090, accuracy 99.65, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:02 Iteration 00081600, loss   0.0121, accuracy 99.72, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:03 Iteration 00081700, loss   0.0117, accuracy 99.58, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:04 Iteration 00081800, loss   0.0143, accuracy 99.47, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:04 Iteration 00081900, loss   0.0092, accuracy 99.49, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:05 Iteration 00082000, loss   0.0133, accuracy 99.38, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:05 Evaluating..
2020-01-29 00:07 Predicted for 2001 examples.
2020-01-29 00:07 Done predicting in 95.0428409576416 seconds.
2020-01-29 00:07   Evaluation Accuracy: 98.95 Exact Match: 96.00  Target Accuracy:  0.00
2020-01-29 00:07 Iteration 00082100, loss   0.0125, accuracy 99.54, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:08 Iteration 00082200, loss   0.0133, accuracy 99.49, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:08 Iteration 00082300, loss   0.0239, accuracy 99.45, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:09 Iteration 00082400, loss   0.0125, accuracy 99.55, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:10 Iteration 00082500, loss   0.0129, accuracy 99.54, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:10 Iteration 00082600, loss   0.0205, accuracy 99.30, exact match 91.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:11 Iteration 00082700, loss   0.0102, accuracy 99.53, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:12 Iteration 00082800, loss   0.0152, accuracy 99.65, exact match 95.62, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:12 Iteration 00082900, loss   0.0101, accuracy 99.54, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:13 Iteration 00083000, loss   0.0109, accuracy 99.66, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:13 Evaluating..
2020-01-29 00:14 Predicted for 2001 examples.
2020-01-29 00:14 Done predicting in 95.45815753936768 seconds.
2020-01-29 00:14   Evaluation Accuracy: 98.95 Exact Match: 95.95  Target Accuracy:  0.00
2020-01-29 00:15 Iteration 00083100, loss   0.0082, accuracy 99.68, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:16 Iteration 00083200, loss   0.0110, accuracy 99.53, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 00:16 Iteration 00083300, loss   0.0088, accuracy 99.60, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:17 Iteration 00083400, loss   0.0096, accuracy 99.61, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:18 Iteration 00083500, loss   0.0082, accuracy 99.79, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:18 Iteration 00083600, loss   0.0076, accuracy 99.67, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:19 Iteration 00083700, loss   0.0107, accuracy 99.68, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:19 Iteration 00083800, loss   0.0088, accuracy 99.68, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:20 Iteration 00083900, loss   0.0062, accuracy 99.89, exact match 98.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:21 Iteration 00084000, loss   0.0106, accuracy 99.62, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:21 Evaluating..
2020-01-29 00:22 Predicted for 2001 examples.
2020-01-29 00:22 Done predicting in 95.15174341201782 seconds.
2020-01-29 00:22   Evaluation Accuracy: 99.16 Exact Match: 96.35  Target Accuracy:  0.00
2020-01-29 00:23 Iteration 00084100, loss   0.0154, accuracy 99.43, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:24 Iteration 00084200, loss   0.0103, accuracy 99.59, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:24 Iteration 00084300, loss   0.0168, accuracy 99.63, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:25 Iteration 00084400, loss   0.0108, accuracy 99.65, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:25 Iteration 00084500, loss   0.0088, accuracy 99.68, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:26 Iteration 00084600, loss   0.0095, accuracy 99.56, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:27 Iteration 00084700, loss   0.0213, accuracy 99.38, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:27 Iteration 00084800, loss   0.0088, accuracy 99.62, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:28 Iteration 00084900, loss   0.0118, accuracy 99.57, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:29 Iteration 00085000, loss   0.0062, accuracy 99.76, exact match 96.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:29 Evaluating..
2020-01-29 00:30 Predicted for 2001 examples.
2020-01-29 00:30 Done predicting in 96.65285229682922 seconds.
2020-01-29 00:30   Evaluation Accuracy: 99.01 Exact Match: 96.35  Target Accuracy:  0.00
2020-01-29 00:31 Iteration 00085100, loss   0.0129, accuracy 99.55, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:31 Iteration 00085200, loss   0.0061, accuracy 99.79, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:32 Iteration 00085300, loss   0.0131, accuracy 99.67, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:33 Iteration 00085400, loss   0.0054, accuracy 99.83, exact match 98.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:33 Iteration 00085500, loss   0.0117, accuracy 99.57, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:34 Iteration 00085600, loss   0.0048, accuracy 99.90, exact match 98.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:35 Iteration 00085700, loss   0.0101, accuracy 99.65, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:35 Iteration 00085800, loss   0.0081, accuracy 99.64, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:36 Iteration 00085900, loss   0.0097, accuracy 99.73, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:37 Iteration 00086000, loss   0.0131, accuracy 99.44, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:37 Evaluating..
2020-01-29 00:38 Predicted for 2001 examples.
2020-01-29 00:38 Done predicting in 97.32665586471558 seconds.
2020-01-29 00:38   Evaluation Accuracy: 99.09 Exact Match: 96.40  Target Accuracy:  0.00
2020-01-29 00:39 Iteration 00086100, loss   0.0116, accuracy 99.57, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:40 Iteration 00086200, loss   0.0077, accuracy 99.78, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 00:40 Iteration 00086300, loss   0.0088, accuracy 99.66, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:41 Iteration 00086400, loss   0.0141, accuracy 99.52, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:41 Iteration 00086500, loss   0.0065, accuracy 99.86, exact match 98.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:42 Iteration 00086600, loss   0.0107, accuracy 99.63, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:43 Iteration 00086700, loss   0.0063, accuracy 99.67, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:43 Iteration 00086800, loss   0.0064, accuracy 99.68, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:44 Iteration 00086900, loss   0.0114, accuracy 99.53, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:45 Iteration 00087000, loss   0.0104, accuracy 99.66, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:45 Evaluating..
2020-01-29 00:46 Predicted for 2001 examples.
2020-01-29 00:46 Done predicting in 97.0338933467865 seconds.
2020-01-29 00:46   Evaluation Accuracy: 99.21 Exact Match: 96.75  Target Accuracy:  0.00
2020-01-29 00:47 Iteration 00087100, loss   0.0082, accuracy 99.56, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:48 Iteration 00087200, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:48 Iteration 00087300, loss   0.0102, accuracy 99.71, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:49 Iteration 00087400, loss   0.0104, accuracy 99.67, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:50 Iteration 00087500, loss   0.0142, accuracy 99.64, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:50 Iteration 00087600, loss   0.0158, accuracy 99.41, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:51 Iteration 00087700, loss   0.0100, accuracy 99.64, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:51 Iteration 00087800, loss   0.0081, accuracy 99.53, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:52 Iteration 00087900, loss   0.0126, accuracy 99.67, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:53 Iteration 00088000, loss   0.0053, accuracy 99.82, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:53 Evaluating..
2020-01-29 00:54 Predicted for 2001 examples.
2020-01-29 00:54 Done predicting in 97.32385230064392 seconds.
2020-01-29 00:54   Evaluation Accuracy: 99.25 Exact Match: 96.95  Target Accuracy:  0.00
2020-01-29 00:55 Iteration 00088100, loss   0.0108, accuracy 99.59, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:56 Iteration 00088200, loss   0.0051, accuracy 99.81, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:56 Iteration 00088300, loss   0.0117, accuracy 99.50, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:57 Iteration 00088400, loss   0.0112, accuracy 99.70, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:58 Iteration 00088500, loss   0.0074, accuracy 99.71, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:58 Iteration 00088600, loss   0.0132, accuracy 99.58, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:59 Iteration 00088700, loss   0.0082, accuracy 99.66, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 00:59 Iteration 00088800, loss   0.0081, accuracy 99.57, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 01:00 Iteration 00088900, loss   0.0115, accuracy 99.50, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 01:01 Iteration 00089000, loss   0.0062, accuracy 99.80, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 01:01 Evaluating..
2020-01-29 01:02 Predicted for 2001 examples.
2020-01-29 01:02 Done predicting in 97.36210346221924 seconds.
2020-01-29 01:02   Evaluation Accuracy: 99.18 Exact Match: 96.70  Target Accuracy:  0.00
2020-01-29 01:03 Iteration 00089100, loss   0.0110, accuracy 99.70, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 01:04 Iteration 00089200, loss   0.0121, accuracy 99.58, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 01:04 Iteration 00089300, loss   0.0152, accuracy 99.61, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:05 Iteration 00089400, loss   0.0139, accuracy 99.56, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:06 Iteration 00089500, loss   0.0068, accuracy 99.82, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:06 Iteration 00089600, loss   0.0100, accuracy 99.61, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:07 Iteration 00089700, loss   0.0179, accuracy 99.33, exact match 92.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:07 Iteration 00089800, loss   0.0085, accuracy 99.72, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:08 Iteration 00089900, loss   0.0073, accuracy 99.72, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:09 Iteration 00090000, loss   0.0091, accuracy 99.53, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:09 Evaluating..
2020-01-29 01:10 Predicted for 2001 examples.
2020-01-29 01:10 Done predicting in 97.63778829574585 seconds.
2020-01-29 01:10   Evaluation Accuracy: 99.01 Exact Match: 96.40  Target Accuracy:  0.00
2020-01-29 01:11 Iteration 00090100, loss   0.0106, accuracy 99.64, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:12 Iteration 00090200, loss   0.0175, accuracy 99.52, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:12 Iteration 00090300, loss   0.0080, accuracy 99.59, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:13 Iteration 00090400, loss   0.0085, accuracy 99.69, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:14 Iteration 00090500, loss   0.0066, accuracy 99.81, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:14 Iteration 00090600, loss   0.0072, accuracy 99.77, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:15 Iteration 00090700, loss   0.0079, accuracy 99.71, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:15 Iteration 00090800, loss   0.0068, accuracy 99.74, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:16 Iteration 00090900, loss   0.0075, accuracy 99.67, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:17 Iteration 00091000, loss   0.0062, accuracy 99.82, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:17 Evaluating..
2020-01-29 01:18 Predicted for 2001 examples.
2020-01-29 01:18 Done predicting in 95.29997873306274 seconds.
2020-01-29 01:18   Evaluation Accuracy: 99.16 Exact Match: 96.80  Target Accuracy:  0.00
2020-01-29 01:19 Iteration 00091100, loss   0.0065, accuracy 99.79, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:20 Iteration 00091200, loss   0.0134, accuracy 99.56, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:20 Iteration 00091300, loss   0.0057, accuracy 99.82, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:21 Iteration 00091400, loss   0.0044, accuracy 99.83, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:21 Iteration 00091500, loss   0.0095, accuracy 99.62, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:22 Iteration 00091600, loss   0.0109, accuracy 99.61, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:23 Iteration 00091700, loss   0.0053, accuracy 99.82, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:23 Iteration 00091800, loss   0.0056, accuracy 99.78, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:24 Iteration 00091900, loss   0.0068, accuracy 99.86, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:25 Iteration 00092000, loss   0.0034, accuracy 99.87, exact match 97.81, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:25 Evaluating..
2020-01-29 01:26 Predicted for 2001 examples.
2020-01-29 01:26 Done predicting in 95.41855144500732 seconds.
2020-01-29 01:26   Evaluation Accuracy: 99.31 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 01:27 Iteration 00092100, loss   0.0081, accuracy 99.72, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:27 Iteration 00092200, loss   0.0109, accuracy 99.64, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 01:28 Iteration 00092300, loss   0.0220, accuracy 99.70, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:29 Iteration 00092400, loss   0.0071, accuracy 99.73, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:29 Iteration 00092500, loss   0.0113, accuracy 99.54, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:30 Iteration 00092600, loss   0.0156, accuracy 99.61, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:31 Iteration 00092700, loss   0.0133, accuracy 99.61, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:31 Iteration 00092800, loss   0.0104, accuracy 99.57, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:32 Iteration 00092900, loss   0.0086, accuracy 99.69, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:32 Iteration 00093000, loss   0.0103, accuracy 99.65, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:32 Evaluating..
2020-01-29 01:34 Predicted for 2001 examples.
2020-01-29 01:34 Done predicting in 95.15706729888916 seconds.
2020-01-29 01:34   Evaluation Accuracy: 99.10 Exact Match: 96.40  Target Accuracy:  0.00
2020-01-29 01:35 Iteration 00093100, loss   0.0096, accuracy 99.52, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:35 Iteration 00093200, loss   0.0183, accuracy 99.46, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:36 Iteration 00093300, loss   0.0148, accuracy 99.60, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:36 Iteration 00093400, loss   0.0142, accuracy 99.35, exact match 92.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:37 Iteration 00093500, loss   0.0105, accuracy 99.59, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:38 Iteration 00093600, loss   0.0097, accuracy 99.63, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:38 Iteration 00093700, loss   0.0047, accuracy 99.80, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:39 Iteration 00093800, loss   0.0137, accuracy 99.48, exact match 93.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:40 Iteration 00093900, loss   0.0057, accuracy 99.77, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:40 Iteration 00094000, loss   0.0100, accuracy 99.67, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:40 Evaluating..
2020-01-29 01:42 Predicted for 2001 examples.
2020-01-29 01:42 Done predicting in 95.05665707588196 seconds.
2020-01-29 01:42   Evaluation Accuracy: 99.14 Exact Match: 96.25  Target Accuracy:  0.00
2020-01-29 01:42 Iteration 00094100, loss   0.0096, accuracy 99.57, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:43 Iteration 00094200, loss   0.0083, accuracy 99.67, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:44 Iteration 00094300, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:44 Iteration 00094400, loss   0.0093, accuracy 99.62, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:45 Iteration 00094500, loss   0.0167, accuracy 99.68, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:46 Iteration 00094600, loss   0.0103, accuracy 99.54, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:46 Iteration 00094700, loss   0.0083, accuracy 99.76, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:47 Iteration 00094800, loss   0.0083, accuracy 99.76, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:47 Iteration 00094900, loss   0.0069, accuracy 99.73, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:48 Iteration 00095000, loss   0.0096, accuracy 99.59, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:48 Evaluating..
2020-01-29 01:50 Predicted for 2001 examples.
2020-01-29 01:50 Done predicting in 94.99448752403259 seconds.
2020-01-29 01:50   Evaluation Accuracy: 99.08 Exact Match: 96.35  Target Accuracy:  0.00
2020-01-29 01:50 Iteration 00095100, loss   0.0144, accuracy 99.54, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:51 Iteration 00095200, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:52 Iteration 00095300, loss   0.0116, accuracy 99.53, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 01:52 Iteration 00095400, loss   0.0048, accuracy 99.86, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:53 Iteration 00095500, loss   0.0069, accuracy 99.79, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:53 Iteration 00095600, loss   0.0136, accuracy 99.73, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:54 Iteration 00095700, loss   0.0059, accuracy 99.73, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:55 Iteration 00095800, loss   0.0067, accuracy 99.68, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:55 Iteration 00095900, loss   0.0084, accuracy 99.67, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:56 Iteration 00096000, loss   0.0096, accuracy 99.71, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:56 Evaluating..
2020-01-29 01:58 Predicted for 2001 examples.
2020-01-29 01:58 Done predicting in 94.9674346446991 seconds.
2020-01-29 01:58   Evaluation Accuracy: 99.03 Exact Match: 96.60  Target Accuracy:  0.00
2020-01-29 01:58 Iteration 00096100, loss   0.0149, accuracy 99.57, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:59 Iteration 00096200, loss   0.0092, accuracy 99.65, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 01:59 Iteration 00096300, loss   0.0073, accuracy 99.70, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:00 Iteration 00096400, loss   0.0044, accuracy 99.89, exact match 98.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:01 Iteration 00096500, loss   0.0091, accuracy 99.63, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:01 Iteration 00096600, loss   0.0069, accuracy 99.68, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:02 Iteration 00096700, loss   0.0179, accuracy 99.54, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:03 Iteration 00096800, loss   0.0147, accuracy 99.57, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:03 Iteration 00096900, loss   0.0056, accuracy 99.74, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:04 Iteration 00097000, loss   0.0069, accuracy 99.82, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:04 Evaluating..
2020-01-29 02:05 Predicted for 2001 examples.
2020-01-29 02:05 Done predicting in 95.05599403381348 seconds.
2020-01-29 02:05   Evaluation Accuracy: 99.02 Exact Match: 96.55  Target Accuracy:  0.00
2020-01-29 02:06 Iteration 00097100, loss   0.0106, accuracy 99.55, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:07 Iteration 00097200, loss   0.0089, accuracy 99.55, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:07 Iteration 00097300, loss   0.0062, accuracy 99.76, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:08 Iteration 00097400, loss   0.0098, accuracy 99.70, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:09 Iteration 00097500, loss   0.0143, accuracy 99.54, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:09 Iteration 00097600, loss   0.0110, accuracy 99.70, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:10 Iteration 00097700, loss   0.0127, accuracy 99.51, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:10 Iteration 00097800, loss   0.0077, accuracy 99.76, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:11 Iteration 00097900, loss   0.0089, accuracy 99.64, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:12 Iteration 00098000, loss   0.0075, accuracy 99.68, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:12 Evaluating..
2020-01-29 02:13 Predicted for 2001 examples.
2020-01-29 02:13 Done predicting in 94.78143501281738 seconds.
2020-01-29 02:13   Evaluation Accuracy: 99.18 Exact Match: 96.75  Target Accuracy:  0.00
2020-01-29 02:14 Iteration 00098100, loss   0.0078, accuracy 99.69, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:14 Iteration 00098200, loss   0.0059, accuracy 99.80, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:15 Iteration 00098300, loss   0.0140, accuracy 99.48, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:16 Iteration 00098400, loss   0.0099, accuracy 99.65, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:16 Iteration 00098500, loss   0.0097, accuracy 99.63, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 02:17 Iteration 00098600, loss   0.0068, accuracy 99.75, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:18 Iteration 00098700, loss   0.0112, accuracy 99.46, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:18 Iteration 00098800, loss   0.0098, accuracy 99.71, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:19 Iteration 00098900, loss   0.0126, accuracy 99.70, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:19 Iteration 00099000, loss   0.0047, accuracy 99.76, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:19 Evaluating..
2020-01-29 02:21 Predicted for 2001 examples.
2020-01-29 02:21 Done predicting in 95.04474949836731 seconds.
2020-01-29 02:21   Evaluation Accuracy: 99.16 Exact Match: 96.55  Target Accuracy:  0.00
2020-01-29 02:22 Iteration 00099100, loss   0.0074, accuracy 99.66, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:22 Iteration 00099200, loss   0.0067, accuracy 99.72, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:23 Iteration 00099300, loss   0.0084, accuracy 99.73, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:24 Iteration 00099400, loss   0.0070, accuracy 99.81, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:24 Iteration 00099500, loss   0.0095, accuracy 99.58, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:25 Iteration 00099600, loss   0.0100, accuracy 99.71, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:25 Iteration 00099700, loss   0.0071, accuracy 99.77, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:26 Iteration 00099800, loss   0.0048, accuracy 99.90, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:27 Iteration 00099900, loss   0.0096, accuracy 99.63, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:27 Iteration 00100000, loss   0.0057, accuracy 99.79, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:27 Evaluating..
2020-01-29 02:29 Predicted for 2001 examples.
2020-01-29 02:29 Done predicting in 96.25484156608582 seconds.
2020-01-29 02:29   Evaluation Accuracy: 99.16 Exact Match: 96.75  Target Accuracy:  0.00
2020-01-29 02:30 Iteration 00100100, loss   0.0098, accuracy 99.66, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:30 Iteration 00100200, loss   0.0112, accuracy 99.64, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:31 Iteration 00100300, loss   0.0059, accuracy 99.80, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:32 Iteration 00100400, loss   0.0105, accuracy 99.70, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:32 Iteration 00100500, loss   0.0093, accuracy 99.71, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:33 Iteration 00100600, loss   0.0064, accuracy 99.89, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:33 Iteration 00100700, loss   0.0125, accuracy 99.63, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:34 Iteration 00100800, loss   0.0097, accuracy 99.59, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:35 Iteration 00100900, loss   0.0119, accuracy 99.54, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:35 Iteration 00101000, loss   0.0088, accuracy 99.66, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:35 Evaluating..
2020-01-29 02:37 Predicted for 2001 examples.
2020-01-29 02:37 Done predicting in 96.72859501838684 seconds.
2020-01-29 02:37   Evaluation Accuracy: 99.08 Exact Match: 96.65  Target Accuracy:  0.00
2020-01-29 02:38 Iteration 00101100, loss   0.0064, accuracy 99.71, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:38 Iteration 00101200, loss   0.0073, accuracy 99.66, exact match 94.89, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:39 Iteration 00101300, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:40 Iteration 00101400, loss   0.0107, accuracy 99.65, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:40 Iteration 00101500, loss   0.0053, accuracy 99.80, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:41 Iteration 00101600, loss   0.0064, accuracy 99.72, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:41 Iteration 00101700, loss   0.0056, accuracy 99.76, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 02:42 Iteration 00101800, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:43 Iteration 00101900, loss   0.0096, accuracy 99.73, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:43 Iteration 00102000, loss   0.0086, accuracy 99.65, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:43 Evaluating..
2020-01-29 02:45 Predicted for 2001 examples.
2020-01-29 02:45 Done predicting in 96.78585577011108 seconds.
2020-01-29 02:45   Evaluation Accuracy: 99.16 Exact Match: 96.85  Target Accuracy:  0.00
2020-01-29 02:46 Iteration 00102100, loss   0.0065, accuracy 99.81, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:46 Iteration 00102200, loss   0.0075, accuracy 99.83, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:47 Iteration 00102300, loss   0.0100, accuracy 99.64, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:48 Iteration 00102400, loss   0.0130, accuracy 99.39, exact match 92.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:48 Iteration 00102500, loss   0.0059, accuracy 99.77, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:49 Iteration 00102600, loss   0.0070, accuracy 99.66, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:49 Iteration 00102700, loss   0.0095, accuracy 99.59, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:50 Iteration 00102800, loss   0.0053, accuracy 99.87, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:51 Iteration 00102900, loss   0.0131, accuracy 99.43, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:51 Iteration 00103000, loss   0.0064, accuracy 99.78, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:51 Evaluating..
2020-01-29 02:53 Predicted for 2001 examples.
2020-01-29 02:53 Done predicting in 97.01953721046448 seconds.
2020-01-29 02:53   Evaluation Accuracy: 99.35 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 02:54 Iteration 00103100, loss   0.0133, accuracy 99.63, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:54 Iteration 00103200, loss   0.0045, accuracy 99.84, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:55 Iteration 00103300, loss   0.0073, accuracy 99.71, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:56 Iteration 00103400, loss   0.0089, accuracy 99.59, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:56 Iteration 00103500, loss   0.0082, accuracy 99.72, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:57 Iteration 00103600, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:57 Iteration 00103700, loss   0.0052, accuracy 99.86, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:58 Iteration 00103800, loss   0.0071, accuracy 99.65, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:59 Iteration 00103900, loss   0.0074, accuracy 99.71, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:59 Iteration 00104000, loss   0.0061, accuracy 99.72, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 02:59 Evaluating..
2020-01-29 03:01 Predicted for 2001 examples.
2020-01-29 03:01 Done predicting in 97.51853227615356 seconds.
2020-01-29 03:01   Evaluation Accuracy: 99.26 Exact Match: 97.25  Target Accuracy:  0.00
2020-01-29 03:02 Iteration 00104100, loss   0.0089, accuracy 99.71, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:02 Iteration 00104200, loss   0.0078, accuracy 99.65, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:03 Iteration 00104300, loss   0.0068, accuracy 99.83, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:04 Iteration 00104400, loss   0.0107, accuracy 99.59, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:04 Iteration 00104500, loss   0.0076, accuracy 99.66, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:05 Iteration 00104600, loss   0.0080, accuracy 99.63, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:06 Iteration 00104700, loss   0.0081, accuracy 99.69, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:06 Iteration 00104800, loss   0.0038, accuracy 99.85, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:07 Iteration 00104900, loss   0.0086, accuracy 99.65, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:07 Iteration 00105000, loss   0.0064, accuracy 99.83, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 03:07 Evaluating..
2020-01-29 03:09 Predicted for 2001 examples.
2020-01-29 03:09 Done predicting in 100.22873711585999 seconds.
2020-01-29 03:09   Evaluation Accuracy: 98.83 Exact Match: 96.40  Target Accuracy:  0.00
2020-01-29 03:10 Iteration 00105100, loss   0.0069, accuracy 99.80, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:10 Iteration 00105200, loss   0.0157, accuracy 99.62, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:11 Iteration 00105300, loss   0.0083, accuracy 99.64, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:12 Iteration 00105400, loss   0.0069, accuracy 99.70, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:12 Iteration 00105500, loss   0.0078, accuracy 99.74, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:13 Iteration 00105600, loss   0.0087, accuracy 99.67, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:14 Iteration 00105700, loss   0.0082, accuracy 99.74, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:14 Iteration 00105800, loss   0.0067, accuracy 99.76, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:15 Iteration 00105900, loss   0.0099, accuracy 99.62, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:16 Iteration 00106000, loss   0.0084, accuracy 99.68, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:16 Evaluating..
2020-01-29 03:17 Predicted for 2001 examples.
2020-01-29 03:17 Done predicting in 100.76606869697571 seconds.
2020-01-29 03:17   Evaluation Accuracy: 99.27 Exact Match: 96.85  Target Accuracy:  0.00
2020-01-29 03:18 Iteration 00106100, loss   0.0104, accuracy 99.64, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:19 Iteration 00106200, loss   0.0081, accuracy 99.78, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:19 Iteration 00106300, loss   0.0103, accuracy 99.67, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:20 Iteration 00106400, loss   0.0126, accuracy 99.44, exact match 93.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:21 Iteration 00106500, loss   0.0131, accuracy 99.73, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:21 Iteration 00106600, loss   0.0081, accuracy 99.74, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:22 Iteration 00106700, loss   0.0081, accuracy 99.68, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:23 Iteration 00106800, loss   0.0107, accuracy 99.74, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:23 Iteration 00106900, loss   0.0092, accuracy 99.75, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:24 Iteration 00107000, loss   0.0043, accuracy 99.85, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:24 Evaluating..
2020-01-29 03:25 Predicted for 2001 examples.
2020-01-29 03:25 Done predicting in 96.96096277236938 seconds.
2020-01-29 03:25   Evaluation Accuracy: 99.35 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 03:26 Iteration 00107100, loss   0.0042, accuracy 99.93, exact match 99.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:27 Iteration 00107200, loss   0.0154, accuracy 99.61, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:27 Iteration 00107300, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:28 Iteration 00107400, loss   0.0043, accuracy 99.89, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:29 Iteration 00107500, loss   0.0057, accuracy 99.75, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:29 Iteration 00107600, loss   0.0093, accuracy 99.66, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:30 Iteration 00107700, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:30 Iteration 00107800, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:31 Iteration 00107900, loss   0.0107, accuracy 99.65, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:32 Iteration 00108000, loss   0.0065, accuracy 99.77, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:32 Evaluating..
2020-01-29 03:33 Predicted for 2001 examples.
2020-01-29 03:33 Done predicting in 94.91008687019348 seconds.
2020-01-29 03:33   Evaluation Accuracy: 99.39 Exact Match: 97.30  Target Accuracy:  0.00
2020-01-29 03:34 Iteration 00108100, loss   0.0033, accuracy 99.96, exact match 99.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:35 Iteration 00108200, loss   0.0074, accuracy 99.71, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:35 Iteration 00108300, loss   0.0068, accuracy 99.76, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 03:36 Iteration 00108400, loss   0.0073, accuracy 99.79, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:36 Iteration 00108500, loss   0.0066, accuracy 99.74, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:37 Iteration 00108600, loss   0.0076, accuracy 99.79, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:38 Iteration 00108700, loss   0.0052, accuracy 99.80, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:38 Iteration 00108800, loss   0.0050, accuracy 99.79, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:39 Iteration 00108900, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:40 Iteration 00109000, loss   0.0035, accuracy 99.87, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:40 Evaluating..
2020-01-29 03:41 Predicted for 2001 examples.
2020-01-29 03:41 Done predicting in 95.26073122024536 seconds.
2020-01-29 03:41   Evaluation Accuracy: 99.31 Exact Match: 97.15  Target Accuracy:  0.00
2020-01-29 03:42 Iteration 00109100, loss   0.0095, accuracy 99.68, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:42 Iteration 00109200, loss   0.0070, accuracy 99.72, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:43 Iteration 00109300, loss   0.0084, accuracy 99.75, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:44 Iteration 00109400, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:44 Iteration 00109500, loss   0.0092, accuracy 99.74, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:45 Iteration 00109600, loss   0.0130, accuracy 99.56, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:46 Iteration 00109700, loss   0.0052, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:46 Iteration 00109800, loss   0.0067, accuracy 99.78, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:47 Iteration 00109900, loss   0.0118, accuracy 99.49, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:47 Iteration 00110000, loss   0.0073, accuracy 99.70, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:47 Evaluating..
2020-01-29 03:49 Predicted for 2001 examples.
2020-01-29 03:49 Done predicting in 95.18162083625793 seconds.
2020-01-29 03:49   Evaluation Accuracy: 99.19 Exact Match: 96.80  Target Accuracy:  0.00
2020-01-29 03:50 Iteration 00110100, loss   0.0107, accuracy 99.59, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:50 Iteration 00110200, loss   0.0051, accuracy 99.76, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:51 Iteration 00110300, loss   0.0087, accuracy 99.66, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:52 Iteration 00110400, loss   0.0128, accuracy 99.51, exact match 93.43, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:52 Iteration 00110500, loss   0.0103, accuracy 99.55, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:53 Iteration 00110600, loss   0.0064, accuracy 99.72, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:53 Iteration 00110700, loss   0.0081, accuracy 99.69, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:54 Iteration 00110800, loss   0.0140, accuracy 99.45, exact match 92.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:55 Iteration 00110900, loss   0.0093, accuracy 99.69, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:55 Iteration 00111000, loss   0.0049, accuracy 99.87, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:55 Evaluating..
2020-01-29 03:57 Predicted for 2001 examples.
2020-01-29 03:57 Done predicting in 95.42361807823181 seconds.
2020-01-29 03:57   Evaluation Accuracy: 99.17 Exact Match: 96.75  Target Accuracy:  0.00
2020-01-29 03:58 Iteration 00111100, loss   0.0061, accuracy 99.73, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:58 Iteration 00111200, loss   0.0091, accuracy 99.65, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:59 Iteration 00111300, loss   0.0042, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 03:59 Iteration 00111400, loss   0.0056, accuracy 99.70, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 04:00 Iteration 00111500, loss   0.0113, accuracy 99.64, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 04:01 Iteration 00111600, loss   0.0078, accuracy 99.72, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 04:01 Iteration 00111700, loss   0.0111, accuracy 99.59, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 04:02 Iteration 00111800, loss   0.0058, accuracy 99.82, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:03 Iteration 00111900, loss   0.0073, accuracy 99.74, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:03 Iteration 00112000, loss   0.0078, accuracy 99.75, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:03 Evaluating..
2020-01-29 04:05 Predicted for 2001 examples.
2020-01-29 04:05 Done predicting in 96.86028838157654 seconds.
2020-01-29 04:05   Evaluation Accuracy: 99.18 Exact Match: 96.75  Target Accuracy:  0.00
2020-01-29 04:06 Iteration 00112100, loss   0.0082, accuracy 99.63, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:06 Iteration 00112200, loss   0.0117, accuracy 99.49, exact match 93.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:07 Iteration 00112300, loss   0.0052, accuracy 99.83, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:07 Iteration 00112400, loss   0.0077, accuracy 99.67, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:08 Iteration 00112500, loss   0.0124, accuracy 99.49, exact match 93.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:09 Iteration 00112600, loss   0.0041, accuracy 99.80, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:09 Iteration 00112700, loss   0.0124, accuracy 99.57, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:10 Iteration 00112800, loss   0.0115, accuracy 99.65, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:11 Iteration 00112900, loss   0.0084, accuracy 99.73, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:11 Iteration 00113000, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:11 Evaluating..
2020-01-29 04:13 Predicted for 2001 examples.
2020-01-29 04:13 Done predicting in 96.95872902870178 seconds.
2020-01-29 04:13   Evaluation Accuracy: 99.22 Exact Match: 97.15  Target Accuracy:  0.00
2020-01-29 04:14 Iteration 00113100, loss   0.0073, accuracy 99.72, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:14 Iteration 00113200, loss   0.0060, accuracy 99.85, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:15 Iteration 00113300, loss   0.0090, accuracy 99.69, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:15 Iteration 00113400, loss   0.0084, accuracy 99.69, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:16 Iteration 00113500, loss   0.0080, accuracy 99.77, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:17 Iteration 00113600, loss   0.0076, accuracy 99.64, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:17 Iteration 00113700, loss   0.0074, accuracy 99.80, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:18 Iteration 00113800, loss   0.0404, accuracy 98.97, exact match 89.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:19 Iteration 00113900, loss   0.0210, accuracy 99.60, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:19 Iteration 00114000, loss   0.0073, accuracy 99.76, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:19 Evaluating..
2020-01-29 04:21 Predicted for 2001 examples.
2020-01-29 04:21 Done predicting in 96.54400300979614 seconds.
2020-01-29 04:21   Evaluation Accuracy: 99.23 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 04:22 Iteration 00114100, loss   0.0075, accuracy 99.63, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:22 Iteration 00114200, loss   0.0093, accuracy 99.69, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:23 Iteration 00114300, loss   0.0102, accuracy 99.54, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:24 Iteration 00114400, loss   0.0025, accuracy 99.94, exact match 99.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:24 Iteration 00114500, loss   0.0119, accuracy 99.64, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:25 Iteration 00114600, loss   0.0077, accuracy 99.70, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:25 Iteration 00114700, loss   0.0042, accuracy 99.82, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:26 Iteration 00114800, loss   0.0066, accuracy 99.79, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:27 Iteration 00114900, loss   0.0084, accuracy 99.62, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:27 Iteration 00115000, loss   0.0067, accuracy 99.76, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:27 Evaluating..
2020-01-29 04:29 Predicted for 2001 examples.
2020-01-29 04:29 Done predicting in 97.23475575447083 seconds.
2020-01-29 04:29   Evaluation Accuracy: 99.10 Exact Match: 96.40  Target Accuracy:  0.00
2020-01-29 04:30 Iteration 00115100, loss   0.0055, accuracy 99.84, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:30 Iteration 00115200, loss   0.0075, accuracy 99.68, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 04:31 Iteration 00115300, loss   0.0088, accuracy 99.71, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:32 Iteration 00115400, loss   0.0058, accuracy 99.67, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:32 Iteration 00115500, loss   0.0070, accuracy 99.73, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:33 Iteration 00115600, loss   0.0085, accuracy 99.60, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:33 Iteration 00115700, loss   0.0080, accuracy 99.66, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:34 Iteration 00115800, loss   0.0049, accuracy 99.78, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:35 Iteration 00115900, loss   0.0089, accuracy 99.65, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:35 Iteration 00116000, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:35 Evaluating..
2020-01-29 04:37 Predicted for 2001 examples.
2020-01-29 04:37 Done predicting in 97.1901490688324 seconds.
2020-01-29 04:37   Evaluation Accuracy: 99.19 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 04:38 Iteration 00116100, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:38 Iteration 00116200, loss   0.0042, accuracy 99.79, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:39 Iteration 00116300, loss   0.0142, accuracy 99.55, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:40 Iteration 00116400, loss   0.0077, accuracy 99.74, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:40 Iteration 00116500, loss   0.0098, accuracy 99.65, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:41 Iteration 00116600, loss   0.0113, accuracy 99.70, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:41 Iteration 00116700, loss   0.0058, accuracy 99.73, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:42 Iteration 00116800, loss   0.0110, accuracy 99.51, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:43 Iteration 00116900, loss   0.0036, accuracy 99.90, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:43 Iteration 00117000, loss   0.0065, accuracy 99.76, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:43 Evaluating..
2020-01-29 04:45 Predicted for 2001 examples.
2020-01-29 04:45 Done predicting in 96.93601489067078 seconds.
2020-01-29 04:45   Evaluation Accuracy: 99.24 Exact Match: 97.45  Target Accuracy:  0.00
2020-01-29 04:46 Iteration 00117100, loss   0.0077, accuracy 99.65, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:46 Iteration 00117200, loss   0.0095, accuracy 99.61, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:47 Iteration 00117300, loss   0.0095, accuracy 99.50, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:48 Iteration 00117400, loss   0.0080, accuracy 99.82, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:48 Iteration 00117500, loss   0.0131, accuracy 99.52, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:49 Iteration 00117600, loss   0.0071, accuracy 99.80, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:49 Iteration 00117700, loss   0.0068, accuracy 99.78, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:50 Iteration 00117800, loss   0.0034, accuracy 99.90, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:51 Iteration 00117900, loss   0.0054, accuracy 99.84, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:51 Iteration 00118000, loss   0.0121, accuracy 99.64, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:51 Evaluating..
2020-01-29 04:53 Predicted for 2001 examples.
2020-01-29 04:53 Done predicting in 95.21359419822693 seconds.
2020-01-29 04:53   Evaluation Accuracy: 99.15 Exact Match: 96.70  Target Accuracy:  0.00
2020-01-29 04:54 Iteration 00118100, loss   0.0078, accuracy 99.67, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:54 Iteration 00118200, loss   0.0094, accuracy 99.83, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:55 Iteration 00118300, loss   0.0091, accuracy 99.72, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:55 Iteration 00118400, loss   0.0073, accuracy 99.68, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:56 Iteration 00118500, loss   0.0076, accuracy 99.74, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:57 Iteration 00118600, loss   0.0062, accuracy 99.77, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:57 Iteration 00118700, loss   0.0072, accuracy 99.74, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 04:58 Iteration 00118800, loss   0.0081, accuracy 99.67, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 04:59 Iteration 00118900, loss   0.0054, accuracy 99.87, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 04:59 Iteration 00119000, loss   0.0057, accuracy 99.87, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 04:59 Evaluating..
2020-01-29 05:01 Predicted for 2001 examples.
2020-01-29 05:01 Done predicting in 95.25704646110535 seconds.
2020-01-29 05:01   Evaluation Accuracy: 99.40 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 05:01 Iteration 00119100, loss   0.0066, accuracy 99.71, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:02 Iteration 00119200, loss   0.0041, accuracy 99.85, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:03 Iteration 00119300, loss   0.0055, accuracy 99.79, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:03 Iteration 00119400, loss   0.0077, accuracy 99.76, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:04 Iteration 00119500, loss   0.0069, accuracy 99.59, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:05 Iteration 00119600, loss   0.0073, accuracy 99.85, exact match 97.81, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:05 Iteration 00119700, loss   0.0059, accuracy 99.73, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:06 Iteration 00119800, loss   0.0038, accuracy 99.89, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:06 Iteration 00119900, loss   0.0120, accuracy 99.56, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:07 Iteration 00120000, loss   0.0111, accuracy 99.62, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:07 Evaluating..
2020-01-29 05:09 Predicted for 2001 examples.
2020-01-29 05:09 Done predicting in 95.32714748382568 seconds.
2020-01-29 05:09   Evaluation Accuracy: 98.99 Exact Match: 96.60  Target Accuracy:  0.00
2020-01-29 05:09 Iteration 00120100, loss   0.0069, accuracy 99.72, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:10 Iteration 00120200, loss   0.0104, accuracy 99.56, exact match 93.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:10 Iteration 00120300, loss   0.0061, accuracy 99.72, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:11 Iteration 00120400, loss   0.0065, accuracy 99.82, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:12 Iteration 00120500, loss   0.0081, accuracy 99.58, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:12 Iteration 00120600, loss   0.0052, accuracy 99.89, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:13 Iteration 00120700, loss   0.0079, accuracy 99.73, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:14 Iteration 00120800, loss   0.0177, accuracy 99.44, exact match 92.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:14 Iteration 00120900, loss   0.0134, accuracy 99.46, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:15 Iteration 00121000, loss   0.0100, accuracy 99.66, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:15 Evaluating..
2020-01-29 05:16 Predicted for 2001 examples.
2020-01-29 05:16 Done predicting in 95.11422753334045 seconds.
2020-01-29 05:16   Evaluation Accuracy: 99.29 Exact Match: 97.15  Target Accuracy:  0.00
2020-01-29 05:17 Iteration 00121100, loss   0.0069, accuracy 99.75, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:18 Iteration 00121200, loss   0.0048, accuracy 99.78, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:18 Iteration 00121300, loss   0.0065, accuracy 99.68, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:19 Iteration 00121400, loss   0.0054, accuracy 99.80, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:20 Iteration 00121500, loss   0.0058, accuracy 99.77, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:20 Iteration 00121600, loss   0.0064, accuracy 99.77, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:21 Iteration 00121700, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:21 Iteration 00121800, loss   0.0088, accuracy 99.72, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:22 Iteration 00121900, loss   0.0095, accuracy 99.75, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:23 Iteration 00122000, loss   0.0055, accuracy 99.73, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:23 Evaluating..
2020-01-29 05:24 Predicted for 2001 examples.
2020-01-29 05:24 Done predicting in 95.1702024936676 seconds.
2020-01-29 05:24   Evaluation Accuracy: 99.33 Exact Match: 97.55  Target Accuracy:  0.00
2020-01-29 05:25 Iteration 00122100, loss   0.0066, accuracy 99.73, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:26 Iteration 00122200, loss   0.0064, accuracy 99.74, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:26 Iteration 00122300, loss   0.0064, accuracy 99.72, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 05:27 Iteration 00122400, loss   0.0059, accuracy 99.81, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:27 Iteration 00122500, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:28 Iteration 00122600, loss   0.0085, accuracy 99.70, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:29 Iteration 00122700, loss   0.0082, accuracy 99.72, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:29 Iteration 00122800, loss   0.0044, accuracy 99.79, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:30 Iteration 00122900, loss   0.0142, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:31 Iteration 00123000, loss   0.0197, accuracy 99.72, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:31 Evaluating..
2020-01-29 05:32 Predicted for 2001 examples.
2020-01-29 05:32 Done predicting in 94.85948157310486 seconds.
2020-01-29 05:32   Evaluation Accuracy: 99.45 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 05:33 Iteration 00123100, loss   0.0047, accuracy 99.79, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:33 Iteration 00123200, loss   0.0060, accuracy 99.72, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:34 Iteration 00123300, loss   0.0067, accuracy 99.72, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:35 Iteration 00123400, loss   0.0064, accuracy 99.77, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:35 Iteration 00123500, loss   0.0075, accuracy 99.70, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:36 Iteration 00123600, loss   0.0108, accuracy 99.72, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:37 Iteration 00123700, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:37 Iteration 00123800, loss   0.0081, accuracy 99.68, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:38 Iteration 00123900, loss   0.0043, accuracy 99.81, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:38 Iteration 00124000, loss   0.0077, accuracy 99.71, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:38 Evaluating..
2020-01-29 05:40 Predicted for 2001 examples.
2020-01-29 05:40 Done predicting in 94.96452450752258 seconds.
2020-01-29 05:40   Evaluation Accuracy: 99.40 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 05:41 Iteration 00124100, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:41 Iteration 00124200, loss   0.0074, accuracy 99.73, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:42 Iteration 00124300, loss   0.0057, accuracy 99.77, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:43 Iteration 00124400, loss   0.0095, accuracy 99.52, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:43 Iteration 00124500, loss   0.0050, accuracy 99.76, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:44 Iteration 00124600, loss   0.0065, accuracy 99.68, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:44 Iteration 00124700, loss   0.0084, accuracy 99.69, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:45 Iteration 00124800, loss   0.0075, accuracy 99.62, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:46 Iteration 00124900, loss   0.0069, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:46 Iteration 00125000, loss   0.0083, accuracy 99.75, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:46 Evaluating..
2020-01-29 05:48 Predicted for 2001 examples.
2020-01-29 05:48 Done predicting in 95.05544233322144 seconds.
2020-01-29 05:48   Evaluation Accuracy: 99.39 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 05:49 Iteration 00125100, loss   0.0054, accuracy 99.73, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:49 Iteration 00125200, loss   0.0083, accuracy 99.60, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:50 Iteration 00125300, loss   0.0058, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:50 Iteration 00125400, loss   0.0064, accuracy 99.84, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:51 Iteration 00125500, loss   0.0078, accuracy 99.73, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:52 Iteration 00125600, loss   0.0091, accuracy 99.79, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:52 Iteration 00125700, loss   0.0078, accuracy 99.82, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:53 Iteration 00125800, loss   0.0074, accuracy 99.70, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:54 Iteration 00125900, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 05:54 Iteration 00126000, loss   0.0079, accuracy 99.75, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 05:54 Evaluating..
2020-01-29 05:56 Predicted for 2001 examples.
2020-01-29 05:56 Done predicting in 95.10847449302673 seconds.
2020-01-29 05:56   Evaluation Accuracy: 99.18 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 05:56 Iteration 00126100, loss   0.0068, accuracy 99.74, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 05:57 Iteration 00126200, loss   0.0097, accuracy 99.79, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 05:58 Iteration 00126300, loss   0.0069, accuracy 99.70, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 05:58 Iteration 00126400, loss   0.0130, accuracy 99.62, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 05:59 Iteration 00126500, loss   0.0037, accuracy 99.89, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:00 Iteration 00126600, loss   0.0042, accuracy 99.86, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:00 Iteration 00126700, loss   0.0087, accuracy 99.63, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:01 Iteration 00126800, loss   0.0056, accuracy 99.85, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:01 Iteration 00126900, loss   0.0069, accuracy 99.73, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:02 Iteration 00127000, loss   0.0069, accuracy 99.66, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:02 Evaluating..
2020-01-29 06:04 Predicted for 2001 examples.
2020-01-29 06:04 Done predicting in 94.8805456161499 seconds.
2020-01-29 06:04   Evaluation Accuracy: 99.34 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 06:04 Iteration 00127100, loss   0.0050, accuracy 99.80, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:05 Iteration 00127200, loss   0.0052, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:05 Iteration 00127300, loss   0.0045, accuracy 99.84, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:06 Iteration 00127400, loss   0.0058, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:07 Iteration 00127500, loss   0.0131, accuracy 99.54, exact match 94.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:07 Iteration 00127600, loss   0.0127, accuracy 99.60, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:08 Iteration 00127700, loss   0.0056, accuracy 99.75, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:09 Iteration 00127800, loss   0.0049, accuracy 99.78, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:09 Iteration 00127900, loss   0.0064, accuracy 99.80, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:10 Iteration 00128000, loss   0.0062, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:10 Evaluating..
2020-01-29 06:11 Predicted for 2001 examples.
2020-01-29 06:11 Done predicting in 95.09796476364136 seconds.
2020-01-29 06:11   Evaluation Accuracy: 99.27 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 06:12 Iteration 00128100, loss   0.0047, accuracy 99.85, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:13 Iteration 00128200, loss   0.0093, accuracy 99.76, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:13 Iteration 00128300, loss   0.0067, accuracy 99.82, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:14 Iteration 00128400, loss   0.0060, accuracy 99.83, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:15 Iteration 00128500, loss   0.0130, accuracy 99.62, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:15 Iteration 00128600, loss   0.0056, accuracy 99.78, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:16 Iteration 00128700, loss   0.0107, accuracy 99.64, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:17 Iteration 00128800, loss   0.0147, accuracy 99.38, exact match 90.51, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:17 Iteration 00128900, loss   0.0051, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:18 Iteration 00129000, loss   0.0084, accuracy 99.70, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:18 Evaluating..
2020-01-29 06:19 Predicted for 2001 examples.
2020-01-29 06:19 Done predicting in 96.84838390350342 seconds.
2020-01-29 06:19   Evaluation Accuracy: 99.37 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 06:20 Iteration 00129100, loss   0.0078, accuracy 99.65, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:21 Iteration 00129200, loss   0.0070, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:21 Iteration 00129300, loss   0.0110, accuracy 99.66, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:22 Iteration 00129400, loss   0.0047, accuracy 99.90, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:23 Iteration 00129500, loss   0.0094, accuracy 99.76, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:23 Iteration 00129600, loss   0.0082, accuracy 99.69, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 06:24 Iteration 00129700, loss   0.0065, accuracy 99.78, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:25 Iteration 00129800, loss   0.0045, accuracy 99.85, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:25 Iteration 00129900, loss   0.0045, accuracy 99.85, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:26 Iteration 00130000, loss   0.0047, accuracy 99.77, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:26 Evaluating..
2020-01-29 06:27 Predicted for 2001 examples.
2020-01-29 06:27 Done predicting in 96.79267311096191 seconds.
2020-01-29 06:27   Evaluation Accuracy: 99.37 Exact Match: 97.45  Target Accuracy:  0.00
2020-01-29 06:28 Iteration 00130100, loss   0.0083, accuracy 99.70, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:29 Iteration 00130200, loss   0.0076, accuracy 99.72, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:29 Iteration 00130300, loss   0.0049, accuracy 99.81, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:30 Iteration 00130400, loss   0.0070, accuracy 99.71, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:31 Iteration 00130500, loss   0.0064, accuracy 99.68, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:31 Iteration 00130600, loss   0.0111, accuracy 99.58, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:32 Iteration 00130700, loss   0.0082, accuracy 99.78, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:33 Iteration 00130800, loss   0.0050, accuracy 99.88, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:33 Iteration 00130900, loss   0.0057, accuracy 99.78, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:34 Iteration 00131000, loss   0.0045, accuracy 99.83, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:34 Evaluating..
2020-01-29 06:35 Predicted for 2001 examples.
2020-01-29 06:35 Done predicting in 96.8513331413269 seconds.
2020-01-29 06:35   Evaluation Accuracy: 99.40 Exact Match: 97.55  Target Accuracy:  0.00
2020-01-29 06:36 Iteration 00131100, loss   0.0043, accuracy 99.84, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:37 Iteration 00131200, loss   0.0081, accuracy 99.70, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:37 Iteration 00131300, loss   0.0112, accuracy 99.57, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:38 Iteration 00131400, loss   0.0101, accuracy 99.71, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:39 Iteration 00131500, loss   0.0069, accuracy 99.73, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:39 Iteration 00131600, loss   0.0078, accuracy 99.84, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:40 Iteration 00131700, loss   0.0048, accuracy 99.84, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:41 Iteration 00131800, loss   0.0065, accuracy 99.86, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:41 Iteration 00131900, loss   0.0081, accuracy 99.66, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:42 Iteration 00132000, loss   0.0087, accuracy 99.74, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:42 Evaluating..
2020-01-29 06:43 Predicted for 2001 examples.
2020-01-29 06:43 Done predicting in 97.00907325744629 seconds.
2020-01-29 06:43   Evaluation Accuracy: 99.38 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 06:44 Iteration 00132100, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:45 Iteration 00132200, loss   0.0046, accuracy 99.78, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:45 Iteration 00132300, loss   0.0070, accuracy 99.81, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:46 Iteration 00132400, loss   0.0042, accuracy 99.84, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:47 Iteration 00132500, loss   0.0038, accuracy 99.79, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:47 Iteration 00132600, loss   0.0069, accuracy 99.76, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:48 Iteration 00132700, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:49 Iteration 00132800, loss   0.0054, accuracy 99.87, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:49 Iteration 00132900, loss   0.0044, accuracy 99.85, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:50 Iteration 00133000, loss   0.0055, accuracy 99.94, exact match 99.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:50 Evaluating..
2020-01-29 06:51 Predicted for 2001 examples.
2020-01-29 06:51 Done predicting in 96.8109540939331 seconds.
2020-01-29 06:51   Evaluation Accuracy: 99.43 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 06:52 Iteration 00133100, loss   0.0052, accuracy 99.86, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:53 Iteration 00133200, loss   0.0064, accuracy 99.82, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:53 Iteration 00133300, loss   0.0068, accuracy 99.79, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:54 Iteration 00133400, loss   0.0156, accuracy 99.54, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 06:55 Iteration 00133500, loss   0.0069, accuracy 99.75, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:55 Iteration 00133600, loss   0.0097, accuracy 99.69, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:56 Iteration 00133700, loss   0.0088, accuracy 99.68, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:57 Iteration 00133800, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:57 Iteration 00133900, loss   0.0041, accuracy 99.93, exact match 99.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:58 Iteration 00134000, loss   0.0078, accuracy 99.78, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 06:58 Evaluating..
2020-01-29 06:59 Predicted for 2001 examples.
2020-01-29 06:59 Done predicting in 96.60685586929321 seconds.
2020-01-29 06:59   Evaluation Accuracy: 99.50 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 07:00 Iteration 00134100, loss   0.0043, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:01 Iteration 00134200, loss   0.0067, accuracy 99.74, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:01 Iteration 00134300, loss   0.0109, accuracy 99.66, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:02 Iteration 00134400, loss   0.0070, accuracy 99.74, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:03 Iteration 00134500, loss   0.0056, accuracy 99.84, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:03 Iteration 00134600, loss   0.0077, accuracy 99.79, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:04 Iteration 00134700, loss   0.0020, accuracy 99.97, exact match 99.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:05 Iteration 00134800, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:05 Iteration 00134900, loss   0.0068, accuracy 99.77, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:06 Iteration 00135000, loss   0.0060, accuracy 99.72, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:06 Evaluating..
2020-01-29 07:07 Predicted for 2001 examples.
2020-01-29 07:07 Done predicting in 95.22081804275513 seconds.
2020-01-29 07:07   Evaluation Accuracy: 99.39 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 07:08 Iteration 00135100, loss   0.0096, accuracy 99.67, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:09 Iteration 00135200, loss   0.0118, accuracy 99.50, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:09 Iteration 00135300, loss   0.0065, accuracy 99.75, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:10 Iteration 00135400, loss   0.0069, accuracy 99.63, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:11 Iteration 00135500, loss   0.0071, accuracy 99.72, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:11 Iteration 00135600, loss   0.0093, accuracy 99.74, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:12 Iteration 00135700, loss   0.0041, accuracy 99.93, exact match 99.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:12 Iteration 00135800, loss   0.0059, accuracy 99.80, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:13 Iteration 00135900, loss   0.0102, accuracy 99.61, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:14 Iteration 00136000, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:14 Evaluating..
2020-01-29 07:15 Predicted for 2001 examples.
2020-01-29 07:15 Done predicting in 94.9545419216156 seconds.
2020-01-29 07:15   Evaluation Accuracy: 99.35 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 07:16 Iteration 00136100, loss   0.0051, accuracy 99.76, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:16 Iteration 00136200, loss   0.0054, accuracy 99.75, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:17 Iteration 00136300, loss   0.0064, accuracy 99.76, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:18 Iteration 00136400, loss   0.0049, accuracy 99.84, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:18 Iteration 00136500, loss   0.0032, accuracy 99.90, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:19 Iteration 00136600, loss   0.0064, accuracy 99.77, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:20 Iteration 00136700, loss   0.0061, accuracy 99.74, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:20 Iteration 00136800, loss   0.0046, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:21 Iteration 00136900, loss   0.0061, accuracy 99.87, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:21 Iteration 00137000, loss   0.0066, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:21 Evaluating..
2020-01-29 07:23 Predicted for 2001 examples.
2020-01-29 07:23 Done predicting in 95.08456373214722 seconds.
2020-01-29 07:23   Evaluation Accuracy: 99.39 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 07:24 Iteration 00137100, loss   0.0082, accuracy 99.68, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:24 Iteration 00137200, loss   0.0074, accuracy 99.62, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:25 Iteration 00137300, loss   0.0104, accuracy 99.60, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 07:26 Iteration 00137400, loss   0.0068, accuracy 99.80, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:26 Iteration 00137500, loss   0.0118, accuracy 99.63, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:27 Iteration 00137600, loss   0.0048, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:27 Iteration 00137700, loss   0.0033, accuracy 99.83, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:28 Iteration 00137800, loss   0.0063, accuracy 99.75, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:29 Iteration 00137900, loss   0.0073, accuracy 99.76, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:29 Iteration 00138000, loss   0.0117, accuracy 99.72, exact match 95.62, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:29 Evaluating..
2020-01-29 07:31 Predicted for 2001 examples.
2020-01-29 07:31 Done predicting in 95.19241189956665 seconds.
2020-01-29 07:31   Evaluation Accuracy: 99.45 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 07:32 Iteration 00138100, loss   0.0030, accuracy 99.92, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:32 Iteration 00138200, loss   0.0027, accuracy 99.96, exact match 99.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:33 Iteration 00138300, loss   0.0053, accuracy 99.83, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:33 Iteration 00138400, loss   0.0080, accuracy 99.73, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:34 Iteration 00138500, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:35 Iteration 00138600, loss   0.0044, accuracy 99.77, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:35 Iteration 00138700, loss   0.0094, accuracy 99.78, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:36 Iteration 00138800, loss   0.0462, accuracy 99.29, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:37 Iteration 00138900, loss   0.0185, accuracy 99.55, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:37 Iteration 00139000, loss   0.0055, accuracy 99.75, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:37 Evaluating..
2020-01-29 07:39 Predicted for 2001 examples.
2020-01-29 07:39 Done predicting in 95.08926963806152 seconds.
2020-01-29 07:39   Evaluation Accuracy: 99.27 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 07:39 Iteration 00139100, loss   0.0045, accuracy 99.87, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:40 Iteration 00139200, loss   0.0052, accuracy 99.84, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:41 Iteration 00139300, loss   0.0051, accuracy 99.73, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:41 Iteration 00139400, loss   0.0064, accuracy 99.74, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:42 Iteration 00139500, loss   0.0124, accuracy 99.48, exact match 93.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:43 Iteration 00139600, loss   0.0105, accuracy 99.52, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:43 Iteration 00139700, loss   0.0052, accuracy 99.77, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:44 Iteration 00139800, loss   0.0074, accuracy 99.76, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:44 Iteration 00139900, loss   0.0060, accuracy 99.83, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:45 Iteration 00140000, loss   0.0064, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:45 Evaluating..
2020-01-29 07:47 Predicted for 2001 examples.
2020-01-29 07:47 Done predicting in 95.12826132774353 seconds.
2020-01-29 07:47   Evaluation Accuracy: 99.39 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 07:47 Iteration 00140100, loss   0.0123, accuracy 99.67, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:48 Iteration 00140200, loss   0.0184, accuracy 99.60, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:49 Iteration 00140300, loss   0.0013, accuracy 100.00, exact match 100.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:49 Iteration 00140400, loss   0.0034, accuracy 99.87, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:50 Iteration 00140500, loss   0.0051, accuracy 99.76, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:50 Iteration 00140600, loss   0.0037, accuracy 99.93, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:51 Iteration 00140700, loss   0.0075, accuracy 99.72, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:52 Iteration 00140800, loss   0.0072, accuracy 99.73, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:52 Iteration 00140900, loss   0.0078, accuracy 99.69, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:53 Iteration 00141000, loss   0.0066, accuracy 99.70, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:53 Evaluating..
2020-01-29 07:54 Predicted for 2001 examples.
2020-01-29 07:54 Done predicting in 95.07561254501343 seconds.
2020-01-29 07:54   Evaluation Accuracy: 99.42 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 07:55 Iteration 00141100, loss   0.0057, accuracy 99.67, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:56 Iteration 00141200, loss   0.0088, accuracy 99.69, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:56 Iteration 00141300, loss   0.0023, accuracy 99.92, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 07:57 Iteration 00141400, loss   0.0091, accuracy 99.74, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 07:58 Iteration 00141500, loss   0.0015, accuracy 100.00, exact match 100.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 07:58 Iteration 00141600, loss   0.0050, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 07:59 Iteration 00141700, loss   0.0047, accuracy 99.72, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 07:59 Iteration 00141800, loss   0.0071, accuracy 99.75, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:00 Iteration 00141900, loss   0.0048, accuracy 99.82, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:01 Iteration 00142000, loss   0.0024, accuracy 99.96, exact match 99.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:01 Evaluating..
2020-01-29 08:02 Predicted for 2001 examples.
2020-01-29 08:02 Done predicting in 95.17133116722107 seconds.
2020-01-29 08:02   Evaluation Accuracy: 99.31 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 08:03 Iteration 00142100, loss   0.0090, accuracy 99.72, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:04 Iteration 00142200, loss   0.0076, accuracy 99.69, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:04 Iteration 00142300, loss   0.0020, accuracy 99.97, exact match 99.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:05 Iteration 00142400, loss   0.0045, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:05 Iteration 00142500, loss   0.0048, accuracy 99.84, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:06 Iteration 00142600, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:07 Iteration 00142700, loss   0.0152, accuracy 99.40, exact match 92.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:07 Iteration 00142800, loss   0.0067, accuracy 99.77, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:08 Iteration 00142900, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:09 Iteration 00143000, loss   0.0039, accuracy 99.93, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:09 Evaluating..
2020-01-29 08:10 Predicted for 2001 examples.
2020-01-29 08:10 Done predicting in 95.05648946762085 seconds.
2020-01-29 08:10   Evaluation Accuracy: 99.35 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 08:11 Iteration 00143100, loss   0.0076, accuracy 99.62, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:11 Iteration 00143200, loss   0.0058, accuracy 99.82, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:12 Iteration 00143300, loss   0.0062, accuracy 99.79, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:13 Iteration 00143400, loss   0.0038, accuracy 99.85, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:13 Iteration 00143500, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:14 Iteration 00143600, loss   0.0078, accuracy 99.82, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:15 Iteration 00143700, loss   0.0034, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:15 Iteration 00143800, loss   0.0056, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:16 Iteration 00143900, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:16 Iteration 00144000, loss   0.0025, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:16 Evaluating..
2020-01-29 08:18 Predicted for 2001 examples.
2020-01-29 08:18 Done predicting in 94.96414828300476 seconds.
2020-01-29 08:18   Evaluation Accuracy: 99.36 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 08:19 Iteration 00144100, loss   0.0048, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:19 Iteration 00144200, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:20 Iteration 00144300, loss   0.0084, accuracy 99.74, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:21 Iteration 00144400, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:21 Iteration 00144500, loss   0.0053, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:22 Iteration 00144600, loss   0.0067, accuracy 99.74, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:22 Iteration 00144700, loss   0.0079, accuracy 99.66, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:23 Iteration 00144800, loss   0.0046, accuracy 99.77, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:24 Iteration 00144900, loss   0.0056, accuracy 99.79, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:24 Iteration 00145000, loss   0.0063, accuracy 99.78, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:24 Evaluating..
2020-01-29 08:26 Predicted for 2001 examples.
2020-01-29 08:26 Done predicting in 96.95655488967896 seconds.
2020-01-29 08:26   Evaluation Accuracy: 99.36 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 08:27 Iteration 00145100, loss   0.0066, accuracy 99.81, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:27 Iteration 00145200, loss   0.0054, accuracy 99.78, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:28 Iteration 00145300, loss   0.0035, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 08:29 Iteration 00145400, loss   0.0055, accuracy 99.81, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:29 Iteration 00145500, loss   0.0065, accuracy 99.79, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:30 Iteration 00145600, loss   0.0063, accuracy 99.72, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:30 Iteration 00145700, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:31 Iteration 00145800, loss   0.0035, accuracy 99.87, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:32 Iteration 00145900, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:32 Iteration 00146000, loss   0.0063, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:32 Evaluating..
2020-01-29 08:34 Predicted for 2001 examples.
2020-01-29 08:34 Done predicting in 96.90577006340027 seconds.
2020-01-29 08:34   Evaluation Accuracy: 99.35 Exact Match: 97.45  Target Accuracy:  0.00
2020-01-29 08:35 Iteration 00146100, loss   0.0072, accuracy 99.72, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:35 Iteration 00146200, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:36 Iteration 00146300, loss   0.0038, accuracy 99.82, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:37 Iteration 00146400, loss   0.0098, accuracy 99.70, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:37 Iteration 00146500, loss   0.0168, accuracy 99.34, exact match 92.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:38 Iteration 00146600, loss   0.0091, accuracy 99.69, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:38 Iteration 00146700, loss   0.0058, accuracy 99.87, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:39 Iteration 00146800, loss   0.0049, accuracy 99.82, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:40 Iteration 00146900, loss   0.0033, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:40 Iteration 00147000, loss   0.0036, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:40 Evaluating..
2020-01-29 08:42 Predicted for 2001 examples.
2020-01-29 08:42 Done predicting in 97.07636380195618 seconds.
2020-01-29 08:42   Evaluation Accuracy: 99.46 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 08:43 Iteration 00147100, loss   0.0104, accuracy 99.67, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:43 Iteration 00147200, loss   0.0044, accuracy 99.79, exact match 97.08, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:44 Iteration 00147300, loss   0.0043, accuracy 99.86, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:45 Iteration 00147400, loss   0.0085, accuracy 99.59, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:45 Iteration 00147500, loss   0.0085, accuracy 99.74, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:46 Iteration 00147600, loss   0.0048, accuracy 99.89, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:47 Iteration 00147700, loss   0.0199, accuracy 99.59, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:47 Iteration 00147800, loss   0.0043, accuracy 99.79, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:48 Iteration 00147900, loss   0.0028, accuracy 99.86, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:48 Iteration 00148000, loss   0.0057, accuracy 99.73, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:48 Evaluating..
2020-01-29 08:50 Predicted for 2001 examples.
2020-01-29 08:50 Done predicting in 96.84297752380371 seconds.
2020-01-29 08:50   Evaluation Accuracy: 99.29 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 08:51 Iteration 00148100, loss   0.0084, accuracy 99.62, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:51 Iteration 00148200, loss   0.0066, accuracy 99.80, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:52 Iteration 00148300, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:53 Iteration 00148400, loss   0.0049, accuracy 99.84, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:53 Iteration 00148500, loss   0.0059, accuracy 99.73, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:54 Iteration 00148600, loss   0.0106, accuracy 99.76, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:55 Iteration 00148700, loss   0.0064, accuracy 99.73, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:55 Iteration 00148800, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:56 Iteration 00148900, loss   0.0059, accuracy 99.79, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:56 Iteration 00149000, loss   0.0106, accuracy 99.65, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:56 Evaluating..
2020-01-29 08:58 Predicted for 2001 examples.
2020-01-29 08:58 Done predicting in 96.8341805934906 seconds.
2020-01-29 08:58   Evaluation Accuracy: 99.36 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 08:59 Iteration 00149100, loss   0.0041, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 08:59 Iteration 00149200, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 09:00 Iteration 00149300, loss   0.0057, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 09:01 Iteration 00149400, loss   0.0092, accuracy 99.75, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-29 09:01 Iteration 00149500, loss   0.0047, accuracy 99.86, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:02 Iteration 00149600, loss   0.0042, accuracy 99.81, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:03 Iteration 00149700, loss   0.0038, accuracy 99.85, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:03 Iteration 00149800, loss   0.0028, accuracy 99.87, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:04 Iteration 00149900, loss   0.0060, accuracy 99.72, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:04 Iteration 00150000, loss   0.0046, accuracy 99.83, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:04 Evaluating..
2020-01-29 09:06 Predicted for 2001 examples.
2020-01-29 09:06 Done predicting in 97.03321266174316 seconds.
2020-01-29 09:06   Evaluation Accuracy: 99.37 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 09:07 Iteration 00150100, loss   0.0048, accuracy 99.85, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:07 Iteration 00150200, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:08 Iteration 00150300, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:09 Iteration 00150400, loss   0.0099, accuracy 99.67, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:09 Iteration 00150500, loss   0.0074, accuracy 99.74, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:10 Iteration 00150600, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:11 Iteration 00150700, loss   0.0028, accuracy 99.87, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:11 Iteration 00150800, loss   0.0068, accuracy 99.82, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:12 Iteration 00150900, loss   0.0062, accuracy 99.82, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:12 Iteration 00151000, loss   0.0041, accuracy 99.81, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:12 Evaluating..
2020-01-29 09:14 Predicted for 2001 examples.
2020-01-29 09:14 Done predicting in 95.10381007194519 seconds.
2020-01-29 09:14   Evaluation Accuracy: 99.44 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 09:15 Iteration 00151100, loss   0.0070, accuracy 99.73, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:15 Iteration 00151200, loss   0.0042, accuracy 99.82, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:16 Iteration 00151300, loss   0.0056, accuracy 99.85, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:17 Iteration 00151400, loss   0.0061, accuracy 99.75, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:17 Iteration 00151500, loss   0.0084, accuracy 99.67, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:18 Iteration 00151600, loss   0.0118, accuracy 99.51, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:18 Iteration 00151700, loss   0.0075, accuracy 99.76, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:19 Iteration 00151800, loss   0.0054, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:20 Iteration 00151900, loss   0.0067, accuracy 99.75, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:20 Iteration 00152000, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:20 Evaluating..
2020-01-29 09:22 Predicted for 2001 examples.
2020-01-29 09:22 Done predicting in 94.98572611808777 seconds.
2020-01-29 09:22   Evaluation Accuracy: 99.51 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 09:23 Iteration 00152100, loss   0.0040, accuracy 99.89, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:23 Iteration 00152200, loss   0.0062, accuracy 99.69, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:24 Iteration 00152300, loss   0.0059, accuracy 99.74, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:24 Iteration 00152400, loss   0.0086, accuracy 99.64, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:25 Iteration 00152500, loss   0.0040, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:26 Iteration 00152600, loss   0.0049, accuracy 99.82, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:26 Iteration 00152700, loss   0.0080, accuracy 99.74, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:27 Iteration 00152800, loss   0.0084, accuracy 99.74, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:28 Iteration 00152900, loss   0.0043, accuracy 99.83, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:28 Iteration 00153000, loss   0.0101, accuracy 99.78, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:28 Evaluating..
2020-01-29 09:30 Predicted for 2001 examples.
2020-01-29 09:30 Done predicting in 94.99853515625 seconds.
2020-01-29 09:30   Evaluation Accuracy: 99.36 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 09:30 Iteration 00153100, loss   0.0069, accuracy 99.76, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:31 Iteration 00153200, loss   0.0094, accuracy 99.67, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:32 Iteration 00153300, loss   0.0066, accuracy 99.78, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:32 Iteration 00153400, loss   0.0057, accuracy 99.76, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:33 Iteration 00153500, loss   0.0089, accuracy 99.66, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:34 Iteration 00153600, loss   0.0032, accuracy 99.91, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-29 09:34 Iteration 00153700, loss   0.0043, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:35 Iteration 00153800, loss   0.0090, accuracy 99.80, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:35 Iteration 00153900, loss   0.0029, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:36 Iteration 00154000, loss   0.0088, accuracy 99.73, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:36 Evaluating..
2020-01-29 09:38 Predicted for 2001 examples.
2020-01-29 09:38 Done predicting in 95.16058778762817 seconds.
2020-01-29 09:38   Evaluation Accuracy: 99.35 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 09:38 Iteration 00154100, loss   0.0090, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:39 Iteration 00154200, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:40 Iteration 00154300, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:40 Iteration 00154400, loss   0.0038, accuracy 99.89, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:41 Iteration 00154500, loss   0.0028, accuracy 99.97, exact match 99.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:41 Iteration 00154600, loss   0.0087, accuracy 99.62, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:42 Iteration 00154700, loss   0.0049, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:43 Iteration 00154800, loss   0.0072, accuracy 99.71, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:43 Iteration 00154900, loss   0.0059, accuracy 99.72, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:44 Iteration 00155000, loss   0.0043, accuracy 99.81, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:44 Evaluating..
2020-01-29 09:45 Predicted for 2001 examples.
2020-01-29 09:45 Done predicting in 95.06934976577759 seconds.
2020-01-29 09:45   Evaluation Accuracy: 99.33 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 09:46 Iteration 00155100, loss   0.0048, accuracy 99.84, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:47 Iteration 00155200, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:47 Iteration 00155300, loss   0.0059, accuracy 99.73, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:48 Iteration 00155400, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:49 Iteration 00155500, loss   0.0097, accuracy 99.72, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:49 Iteration 00155600, loss   0.0035, accuracy 99.87, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:50 Iteration 00155700, loss   0.0056, accuracy 99.78, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:51 Iteration 00155800, loss   0.0101, accuracy 99.53, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:51 Iteration 00155900, loss   0.0052, accuracy 99.75, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:52 Iteration 00156000, loss   0.0061, accuracy 99.82, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:52 Evaluating..
2020-01-29 09:53 Predicted for 2001 examples.
2020-01-29 09:53 Done predicting in 95.08431005477905 seconds.
2020-01-29 09:53   Evaluation Accuracy: 99.42 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 09:54 Iteration 00156100, loss   0.0054, accuracy 99.79, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:55 Iteration 00156200, loss   0.0066, accuracy 99.87, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:55 Iteration 00156300, loss   0.0064, accuracy 99.63, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:56 Iteration 00156400, loss   0.0063, accuracy 99.75, exact match 96.35, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:56 Iteration 00156500, loss   0.0073, accuracy 99.75, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:57 Iteration 00156600, loss   0.0042, accuracy 99.87, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:58 Iteration 00156700, loss   0.0044, accuracy 99.89, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:58 Iteration 00156800, loss   0.0028, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 09:59 Iteration 00156900, loss   0.0018, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:00 Iteration 00157000, loss   0.0050, accuracy 99.84, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:00 Evaluating..
2020-01-29 10:01 Predicted for 2001 examples.
2020-01-29 10:01 Done predicting in 94.9369969367981 seconds.
2020-01-29 10:01   Evaluation Accuracy: 99.38 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 10:02 Iteration 00157100, loss   0.0050, accuracy 99.84, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:02 Iteration 00157200, loss   0.0057, accuracy 99.78, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:03 Iteration 00157300, loss   0.0097, accuracy 99.64, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:04 Iteration 00157400, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:04 Iteration 00157500, loss   0.0033, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:05 Iteration 00157600, loss   0.0069, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:06 Iteration 00157700, loss   0.0054, accuracy 99.83, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:06 Iteration 00157800, loss   0.0058, accuracy 99.80, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:07 Iteration 00157900, loss   0.0067, accuracy 99.71, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:07 Iteration 00158000, loss   0.0042, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-29 10:07 Evaluating..
2020-01-29 10:09 Predicted for 2001 examples.
2020-01-29 10:09 Done predicting in 95.10111927986145 seconds.
2020-01-29 10:09   Evaluation Accuracy: 99.38 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 10:10 Iteration 00158100, loss   0.0076, accuracy 99.73, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:10 Iteration 00158200, loss   0.0032, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:11 Iteration 00158300, loss   0.0072, accuracy 99.75, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:12 Iteration 00158400, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:12 Iteration 00158500, loss   0.0052, accuracy 99.80, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:13 Iteration 00158600, loss   0.0078, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:13 Iteration 00158700, loss   0.0063, accuracy 99.82, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:14 Iteration 00158800, loss   0.0073, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:15 Iteration 00158900, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:15 Iteration 00159000, loss   0.0052, accuracy 99.84, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:15 Evaluating..
2020-01-29 10:17 Predicted for 2001 examples.
2020-01-29 10:17 Done predicting in 96.81934261322021 seconds.
2020-01-29 10:17   Evaluation Accuracy: 99.43 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 10:18 Iteration 00159100, loss   0.0055, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:18 Iteration 00159200, loss   0.0049, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:19 Iteration 00159300, loss   0.0168, accuracy 99.71, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:20 Iteration 00159400, loss   0.0041, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:20 Iteration 00159500, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:21 Iteration 00159600, loss   0.0080, accuracy 99.71, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:21 Iteration 00159700, loss   0.0037, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:22 Iteration 00159800, loss   0.0075, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:23 Iteration 00159900, loss   0.0078, accuracy 99.85, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:23 Iteration 00160000, loss   0.0121, accuracy 99.75, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:23 Evaluating..
2020-01-29 10:25 Predicted for 2001 examples.
2020-01-29 10:25 Done predicting in 97.05489945411682 seconds.
2020-01-29 10:25   Evaluation Accuracy: 99.47 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 10:26 Iteration 00160100, loss   0.0025, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:26 Iteration 00160200, loss   0.0053, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:27 Iteration 00160300, loss   0.0056, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:28 Iteration 00160400, loss   0.0087, accuracy 99.60, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:28 Iteration 00160500, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:29 Iteration 00160600, loss   0.0028, accuracy 99.96, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:29 Iteration 00160700, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:30 Iteration 00160800, loss   0.0068, accuracy 99.75, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:31 Iteration 00160900, loss   0.0055, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:31 Iteration 00161000, loss   0.0061, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:31 Evaluating..
2020-01-29 10:33 Predicted for 2001 examples.
2020-01-29 10:33 Done predicting in 98.60942220687866 seconds.
2020-01-29 10:33   Evaluation Accuracy: 99.48 Exact Match: 98.05  Target Accuracy:  0.00
2020-01-29 10:34 Iteration 00161100, loss   0.0035, accuracy 99.84, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:34 Iteration 00161200, loss   0.0030, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:35 Iteration 00161300, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:36 Iteration 00161400, loss   0.0046, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:36 Iteration 00161500, loss   0.0025, accuracy 99.90, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:37 Iteration 00161600, loss   0.0052, accuracy 99.84, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:38 Iteration 00161700, loss   0.0054, accuracy 99.82, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:38 Iteration 00161800, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:39 Iteration 00161900, loss   0.0036, accuracy 99.86, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:39 Iteration 00162000, loss   0.0066, accuracy 99.79, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:39 Evaluating..
2020-01-29 10:41 Predicted for 2001 examples.
2020-01-29 10:41 Done predicting in 97.19439029693604 seconds.
2020-01-29 10:41   Evaluation Accuracy: 99.50 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 10:42 Iteration 00162100, loss   0.0039, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:42 Iteration 00162200, loss   0.0059, accuracy 99.78, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:43 Iteration 00162300, loss   0.0028, accuracy 99.86, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:44 Iteration 00162400, loss   0.0053, accuracy 99.90, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-29 10:44 Iteration 00162500, loss   0.0044, accuracy 99.85, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:45 Iteration 00162600, loss   0.0043, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:46 Iteration 00162700, loss   0.0059, accuracy 99.76, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:46 Iteration 00162800, loss   0.0064, accuracy 99.74, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:47 Iteration 00162900, loss   0.0138, accuracy 99.56, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:48 Iteration 00163000, loss   0.0148, accuracy 99.66, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:48 Evaluating..
2020-01-29 10:49 Predicted for 2001 examples.
2020-01-29 10:49 Done predicting in 97.081955909729 seconds.
2020-01-29 10:49   Evaluation Accuracy: 99.45 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 10:50 Iteration 00163100, loss   0.0101, accuracy 99.64, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:50 Iteration 00163200, loss   0.0051, accuracy 99.80, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:51 Iteration 00163300, loss   0.0079, accuracy 99.79, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:52 Iteration 00163400, loss   0.0116, accuracy 99.76, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:52 Iteration 00163500, loss   0.0045, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:53 Iteration 00163600, loss   0.0027, accuracy 99.89, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:54 Iteration 00163700, loss   0.0066, accuracy 99.73, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:54 Iteration 00163800, loss   0.0027, accuracy 99.89, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:55 Iteration 00163900, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:56 Iteration 00164000, loss   0.0035, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:56 Evaluating..
2020-01-29 10:57 Predicted for 2001 examples.
2020-01-29 10:57 Done predicting in 97.16499829292297 seconds.
2020-01-29 10:57   Evaluation Accuracy: 99.42 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 10:58 Iteration 00164100, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:58 Iteration 00164200, loss   0.0046, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 10:59 Iteration 00164300, loss   0.0036, accuracy 99.87, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:00 Iteration 00164400, loss   0.0066, accuracy 99.73, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:00 Iteration 00164500, loss   0.0044, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:01 Iteration 00164600, loss   0.0048, accuracy 99.77, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:02 Iteration 00164700, loss   0.0138, accuracy 99.56, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:02 Iteration 00164800, loss   0.0053, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:03 Iteration 00164900, loss   0.0036, accuracy 99.82, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:03 Iteration 00165000, loss   0.0031, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:03 Evaluating..
2020-01-29 11:05 Predicted for 2001 examples.
2020-01-29 11:05 Done predicting in 94.97715473175049 seconds.
2020-01-29 11:05   Evaluation Accuracy: 99.42 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 11:06 Iteration 00165100, loss   0.0054, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:06 Iteration 00165200, loss   0.0086, accuracy 99.75, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:07 Iteration 00165300, loss   0.0083, accuracy 99.73, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:08 Iteration 00165400, loss   0.0046, accuracy 99.85, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:08 Iteration 00165500, loss   0.0068, accuracy 99.63, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:09 Iteration 00165600, loss   0.0046, accuracy 99.80, exact match 97.81, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:09 Iteration 00165700, loss   0.0061, accuracy 99.68, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:10 Iteration 00165800, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:11 Iteration 00165900, loss   0.0079, accuracy 99.78, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:11 Iteration 00166000, loss   0.0037, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:11 Evaluating..
2020-01-29 11:13 Predicted for 2001 examples.
2020-01-29 11:13 Done predicting in 95.00472021102905 seconds.
2020-01-29 11:13   Evaluation Accuracy: 99.36 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 11:13 Iteration 00166100, loss   0.0091, accuracy 99.62, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:14 Iteration 00166200, loss   0.0034, accuracy 99.87, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:15 Iteration 00166300, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:15 Iteration 00166400, loss   0.0025, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:16 Iteration 00166500, loss   0.0077, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:17 Iteration 00166600, loss   0.0071, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:17 Iteration 00166700, loss   0.0036, accuracy 99.79, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:18 Iteration 00166800, loss   0.0048, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:19 Iteration 00166900, loss   0.0080, accuracy 99.71, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-29 11:19 Iteration 00167000, loss   0.0061, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:19 Evaluating..
2020-01-29 11:21 Predicted for 2001 examples.
2020-01-29 11:21 Done predicting in 95.19224143028259 seconds.
2020-01-29 11:21   Evaluation Accuracy: 99.41 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 11:21 Iteration 00167100, loss   0.0045, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:22 Iteration 00167200, loss   0.0071, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:23 Iteration 00167300, loss   0.0059, accuracy 99.70, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:23 Iteration 00167400, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:24 Iteration 00167500, loss   0.0072, accuracy 99.76, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:24 Iteration 00167600, loss   0.0024, accuracy 99.92, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:25 Iteration 00167700, loss   0.0034, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:26 Iteration 00167800, loss   0.0095, accuracy 99.60, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:26 Iteration 00167900, loss   0.0068, accuracy 99.65, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:27 Iteration 00168000, loss   0.0116, accuracy 99.77, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:27 Evaluating..
2020-01-29 11:29 Predicted for 2001 examples.
2020-01-29 11:29 Done predicting in 95.03068447113037 seconds.
2020-01-29 11:29   Evaluation Accuracy: 99.43 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 11:29 Iteration 00168100, loss   0.0083, accuracy 99.69, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:30 Iteration 00168200, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:30 Iteration 00168300, loss   0.0053, accuracy 99.81, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:31 Iteration 00168400, loss   0.0033, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:32 Iteration 00168500, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:32 Iteration 00168600, loss   0.0076, accuracy 99.78, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:33 Iteration 00168700, loss   0.0075, accuracy 99.68, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:34 Iteration 00168800, loss   0.0076, accuracy 99.80, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:34 Iteration 00168900, loss   0.0042, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:35 Iteration 00169000, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:35 Evaluating..
2020-01-29 11:36 Predicted for 2001 examples.
2020-01-29 11:36 Done predicting in 94.94474363327026 seconds.
2020-01-29 11:36   Evaluation Accuracy: 99.50 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 11:37 Iteration 00169100, loss   0.0045, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:38 Iteration 00169200, loss   0.0064, accuracy 99.71, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:38 Iteration 00169300, loss   0.0034, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:39 Iteration 00169400, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:40 Iteration 00169500, loss   0.0041, accuracy 99.81, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:40 Iteration 00169600, loss   0.0085, accuracy 99.75, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:41 Iteration 00169700, loss   0.0051, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:41 Iteration 00169800, loss   0.0028, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:42 Iteration 00169900, loss   0.0039, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:43 Iteration 00170000, loss   0.0035, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:43 Evaluating..
2020-01-29 11:44 Predicted for 2001 examples.
2020-01-29 11:44 Done predicting in 94.95892763137817 seconds.
2020-01-29 11:44   Evaluation Accuracy: 99.56 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 11:45 Iteration 00170100, loss   0.0019, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:46 Iteration 00170200, loss   0.0049, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:46 Iteration 00170300, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:47 Iteration 00170400, loss   0.0042, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:47 Iteration 00170500, loss   0.0051, accuracy 99.83, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:48 Iteration 00170600, loss   0.0055, accuracy 99.82, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:49 Iteration 00170700, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:49 Iteration 00170800, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:50 Iteration 00170900, loss   0.0039, accuracy 99.79, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:51 Iteration 00171000, loss   0.0092, accuracy 99.77, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:51 Evaluating..
2020-01-29 11:52 Predicted for 2001 examples.
2020-01-29 11:52 Done predicting in 95.07535099983215 seconds.
2020-01-29 11:52   Evaluation Accuracy: 99.44 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 11:53 Iteration 00171100, loss   0.0038, accuracy 99.84, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:53 Iteration 00171200, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:54 Iteration 00171300, loss   0.0085, accuracy 99.63, exact match 95.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:55 Iteration 00171400, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:55 Iteration 00171500, loss   0.0040, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-29 11:56 Iteration 00171600, loss   0.0055, accuracy 99.78, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 11:56 Iteration 00171700, loss   0.0061, accuracy 99.80, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 11:57 Iteration 00171800, loss   0.0075, accuracy 99.69, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 11:58 Iteration 00171900, loss   0.0056, accuracy 99.69, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 11:58 Iteration 00172000, loss   0.0054, accuracy 99.80, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 11:58 Evaluating..
2020-01-29 12:00 Predicted for 2001 examples.
2020-01-29 12:00 Done predicting in 95.22146558761597 seconds.
2020-01-29 12:00   Evaluation Accuracy: 99.47 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 12:01 Iteration 00172100, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:01 Iteration 00172200, loss   0.0046, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:02 Iteration 00172300, loss   0.0049, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:02 Iteration 00172400, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:03 Iteration 00172500, loss   0.0026, accuracy 99.94, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:04 Iteration 00172600, loss   0.0034, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:04 Iteration 00172700, loss   0.0056, accuracy 99.71, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:05 Iteration 00172800, loss   0.0054, accuracy 99.77, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:06 Iteration 00172900, loss   0.0053, accuracy 99.81, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:06 Iteration 00173000, loss   0.0055, accuracy 99.79, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:06 Evaluating..
2020-01-29 12:08 Predicted for 2001 examples.
2020-01-29 12:08 Done predicting in 95.0728611946106 seconds.
2020-01-29 12:08   Evaluation Accuracy: 99.44 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 12:08 Iteration 00173100, loss   0.0079, accuracy 99.78, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:09 Iteration 00173200, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:10 Iteration 00173300, loss   0.0054, accuracy 99.81, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:10 Iteration 00173400, loss   0.0099, accuracy 99.74, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:11 Iteration 00173500, loss   0.0037, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:12 Iteration 00173600, loss   0.0082, accuracy 99.74, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:12 Iteration 00173700, loss   0.0056, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:13 Iteration 00173800, loss   0.0039, accuracy 99.84, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:13 Iteration 00173900, loss   0.0040, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:14 Iteration 00174000, loss   0.0049, accuracy 99.82, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:14 Evaluating..
2020-01-29 12:16 Predicted for 2001 examples.
2020-01-29 12:16 Done predicting in 94.90142178535461 seconds.
2020-01-29 12:16   Evaluation Accuracy: 99.51 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 12:16 Iteration 00174100, loss   0.0076, accuracy 99.66, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:17 Iteration 00174200, loss   0.0055, accuracy 99.79, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:18 Iteration 00174300, loss   0.0053, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:18 Iteration 00174400, loss   0.0045, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:19 Iteration 00174500, loss   0.0093, accuracy 99.75, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:19 Iteration 00174600, loss   0.0045, accuracy 99.85, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:20 Iteration 00174700, loss   0.0048, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:21 Iteration 00174800, loss   0.0046, accuracy 99.90, exact match 98.54, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:21 Iteration 00174900, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:22 Iteration 00175000, loss   0.0049, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:22 Evaluating..
2020-01-29 12:24 Predicted for 2001 examples.
2020-01-29 12:24 Done predicting in 94.81458854675293 seconds.
2020-01-29 12:24   Evaluation Accuracy: 99.60 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 12:24 Iteration 00175100, loss   0.0082, accuracy 99.71, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:25 Iteration 00175200, loss   0.0029, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:25 Iteration 00175300, loss   0.0081, accuracy 99.84, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:26 Iteration 00175400, loss   0.0062, accuracy 99.73, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:27 Iteration 00175500, loss   0.0046, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:27 Iteration 00175600, loss   0.0054, accuracy 99.71, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:28 Iteration 00175700, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:29 Iteration 00175800, loss   0.0031, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:29 Iteration 00175900, loss   0.0050, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:30 Iteration 00176000, loss   0.0051, accuracy 99.67, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:30 Evaluating..
2020-01-29 12:32 Predicted for 2001 examples.
2020-01-29 12:32 Done predicting in 97.27246570587158 seconds.
2020-01-29 12:32   Evaluation Accuracy: 99.38 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 12:32 Iteration 00176100, loss   0.0048, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:33 Iteration 00176200, loss   0.0074, accuracy 99.67, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:33 Iteration 00176300, loss   0.0049, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-29 12:34 Iteration 00176400, loss   0.0048, accuracy 99.82, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:35 Iteration 00176500, loss   0.0070, accuracy 99.68, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:35 Iteration 00176600, loss   0.0035, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:36 Iteration 00176700, loss   0.0026, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:37 Iteration 00176800, loss   0.0065, accuracy 99.82, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:37 Iteration 00176900, loss   0.0090, accuracy 99.84, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:38 Iteration 00177000, loss   0.0034, accuracy 99.80, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:38 Evaluating..
2020-01-29 12:40 Predicted for 2001 examples.
2020-01-29 12:40 Done predicting in 96.91301655769348 seconds.
2020-01-29 12:40   Evaluation Accuracy: 99.49 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-29 12:40 Iteration 00177100, loss   0.0032, accuracy 99.91, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:41 Iteration 00177200, loss   0.0066, accuracy 99.84, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:41 Iteration 00177300, loss   0.0036, accuracy 99.81, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:42 Iteration 00177400, loss   0.0038, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:43 Iteration 00177500, loss   0.0045, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:43 Iteration 00177600, loss   0.0077, accuracy 99.73, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:44 Iteration 00177700, loss   0.0029, accuracy 99.87, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:45 Iteration 00177800, loss   0.0104, accuracy 99.79, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:45 Iteration 00177900, loss   0.0064, accuracy 99.78, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:46 Iteration 00178000, loss   0.0223, accuracy 99.76, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:46 Evaluating..
2020-01-29 12:48 Predicted for 2001 examples.
2020-01-29 12:48 Done predicting in 96.60108494758606 seconds.
2020-01-29 12:48   Evaluation Accuracy: 99.48 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 12:48 Iteration 00178100, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:49 Iteration 00178200, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:50 Iteration 00178300, loss   0.0029, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:50 Iteration 00178400, loss   0.0049, accuracy 99.87, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:51 Iteration 00178500, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:51 Iteration 00178600, loss   0.0058, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:52 Iteration 00178700, loss   0.0061, accuracy 99.78, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:53 Iteration 00178800, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:53 Iteration 00178900, loss   0.0047, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:54 Iteration 00179000, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:54 Evaluating..
2020-01-29 12:56 Predicted for 2001 examples.
2020-01-29 12:56 Done predicting in 97.09331464767456 seconds.
2020-01-29 12:56   Evaluation Accuracy: 99.53 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 12:56 Iteration 00179100, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:57 Iteration 00179200, loss   0.0083, accuracy 99.81, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:58 Iteration 00179300, loss   0.0045, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:58 Iteration 00179400, loss   0.0038, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:59 Iteration 00179500, loss   0.0013, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 12:59 Iteration 00179600, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:00 Iteration 00179700, loss   0.0040, accuracy 99.84, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:01 Iteration 00179800, loss   0.0054, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:01 Iteration 00179900, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:02 Iteration 00180000, loss   0.0123, accuracy 99.74, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:02 Evaluating..
2020-01-29 13:04 Predicted for 2001 examples.
2020-01-29 13:04 Done predicting in 96.86773252487183 seconds.
2020-01-29 13:04   Evaluation Accuracy: 99.47 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 13:04 Iteration 00180100, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:05 Iteration 00180200, loss   0.0039, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:06 Iteration 00180300, loss   0.0045, accuracy 99.72, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:06 Iteration 00180400, loss   0.0061, accuracy 99.72, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:07 Iteration 00180500, loss   0.0044, accuracy 99.87, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:07 Iteration 00180600, loss   0.0019, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:08 Iteration 00180700, loss   0.0064, accuracy 99.73, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:09 Iteration 00180800, loss   0.0042, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:09 Iteration 00180900, loss   0.0060, accuracy 99.84, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:10 Iteration 00181000, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:10 Evaluating..
2020-01-29 13:12 Predicted for 2001 examples.
2020-01-29 13:12 Done predicting in 97.58595585823059 seconds.
2020-01-29 13:12   Evaluation Accuracy: 99.48 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 13:12 Iteration 00181100, loss   0.0045, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-29 13:13 Iteration 00181200, loss   0.0036, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:14 Iteration 00181300, loss   0.0025, accuracy 99.94, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:14 Iteration 00181400, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:15 Iteration 00181500, loss   0.0045, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:15 Iteration 00181600, loss   0.0045, accuracy 99.78, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:16 Iteration 00181700, loss   0.0076, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:17 Iteration 00181800, loss   0.0048, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:17 Iteration 00181900, loss   0.0037, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:18 Iteration 00182000, loss   0.0069, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:18 Evaluating..
2020-01-29 13:20 Predicted for 2001 examples.
2020-01-29 13:20 Done predicting in 95.56761240959167 seconds.
2020-01-29 13:20   Evaluation Accuracy: 99.62 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-29 13:20 Iteration 00182100, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:21 Iteration 00182200, loss   0.0038, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:22 Iteration 00182300, loss   0.0027, accuracy 99.97, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:22 Iteration 00182400, loss   0.0015, accuracy 100.00, exact match 100.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:23 Iteration 00182500, loss   0.0036, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:23 Iteration 00182600, loss   0.0053, accuracy 99.82, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:24 Iteration 00182700, loss   0.0056, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:25 Iteration 00182800, loss   0.0053, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:25 Iteration 00182900, loss   0.0077, accuracy 99.81, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:26 Iteration 00183000, loss   0.0064, accuracy 99.74, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:26 Evaluating..
2020-01-29 13:28 Predicted for 2001 examples.
2020-01-29 13:28 Done predicting in 95.00468683242798 seconds.
2020-01-29 13:28   Evaluation Accuracy: 99.44 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 13:28 Iteration 00183100, loss   0.0045, accuracy 99.74, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:29 Iteration 00183200, loss   0.0051, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:29 Iteration 00183300, loss   0.0035, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:30 Iteration 00183400, loss   0.0070, accuracy 99.87, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:31 Iteration 00183500, loss   0.0059, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:31 Iteration 00183600, loss   0.0054, accuracy 99.80, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:32 Iteration 00183700, loss   0.0029, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:33 Iteration 00183800, loss   0.0047, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:33 Iteration 00183900, loss   0.0070, accuracy 99.72, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:34 Iteration 00184000, loss   0.0030, accuracy 99.94, exact match 99.27, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:34 Evaluating..
2020-01-29 13:35 Predicted for 2001 examples.
2020-01-29 13:35 Done predicting in 95.05367302894592 seconds.
2020-01-29 13:35   Evaluation Accuracy: 99.56 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 13:36 Iteration 00184100, loss   0.0042, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:37 Iteration 00184200, loss   0.0050, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:37 Iteration 00184300, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:38 Iteration 00184400, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:38 Iteration 00184500, loss   0.0022, accuracy 99.96, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:39 Iteration 00184600, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:40 Iteration 00184700, loss   0.0025, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:40 Iteration 00184800, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:41 Iteration 00184900, loss   0.0033, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:42 Iteration 00185000, loss   0.0059, accuracy 99.74, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:42 Evaluating..
2020-01-29 13:43 Predicted for 2001 examples.
2020-01-29 13:43 Done predicting in 95.08381581306458 seconds.
2020-01-29 13:43   Evaluation Accuracy: 99.46 Exact Match: 98.10  Target Accuracy:  0.00
2020-01-29 13:44 Iteration 00185100, loss   0.0034, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:44 Iteration 00185200, loss   0.0053, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:45 Iteration 00185300, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:46 Iteration 00185400, loss   0.0055, accuracy 99.75, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:46 Iteration 00185500, loss   0.0033, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:47 Iteration 00185600, loss   0.0027, accuracy 99.85, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:48 Iteration 00185700, loss   0.0026, accuracy 99.92, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:48 Iteration 00185800, loss   0.0043, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:49 Iteration 00185900, loss   0.0052, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:49 Iteration 00186000, loss   0.0050, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:49 Evaluating..
2020-01-29 13:51 Predicted for 2001 examples.
2020-01-29 13:51 Done predicting in 95.0228807926178 seconds.
2020-01-29 13:51   Evaluation Accuracy: 99.54 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 13:52 Iteration 00186100, loss   0.0031, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-29 13:52 Iteration 00186200, loss   0.0044, accuracy 99.77, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:53 Iteration 00186300, loss   0.0070, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:54 Iteration 00186400, loss   0.0069, accuracy 99.71, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:54 Iteration 00186500, loss   0.0043, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:55 Iteration 00186600, loss   0.0034, accuracy 99.84, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:56 Iteration 00186700, loss   0.0042, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:56 Iteration 00186800, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:57 Iteration 00186900, loss   0.0057, accuracy 99.78, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:57 Iteration 00187000, loss   0.0030, accuracy 99.92, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 13:57 Evaluating..
2020-01-29 13:59 Predicted for 2001 examples.
2020-01-29 13:59 Done predicting in 97.0577244758606 seconds.
2020-01-29 13:59   Evaluation Accuracy: 99.40 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-29 14:00 Iteration 00187100, loss   0.0052, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:00 Iteration 00187200, loss   0.0029, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:01 Iteration 00187300, loss   0.0044, accuracy 99.82, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:02 Iteration 00187400, loss   0.0039, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:02 Iteration 00187500, loss   0.0023, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:03 Iteration 00187600, loss   0.0047, accuracy 99.82, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:04 Iteration 00187700, loss   0.0036, accuracy 99.78, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:04 Iteration 00187800, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:05 Iteration 00187900, loss   0.0017, accuracy 99.97, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:06 Iteration 00188000, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:06 Evaluating..
2020-01-29 14:07 Predicted for 2001 examples.
2020-01-29 14:07 Done predicting in 96.94863390922546 seconds.
2020-01-29 14:07   Evaluation Accuracy: 99.51 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 14:08 Iteration 00188100, loss   0.0038, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:08 Iteration 00188200, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:09 Iteration 00188300, loss   0.0044, accuracy 99.71, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:10 Iteration 00188400, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:10 Iteration 00188500, loss   0.0054, accuracy 99.76, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:11 Iteration 00188600, loss   0.0093, accuracy 99.58, exact match 94.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:12 Iteration 00188700, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:12 Iteration 00188800, loss   0.0026, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:13 Iteration 00188900, loss   0.0041, accuracy 99.84, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:14 Iteration 00189000, loss   0.0068, accuracy 99.78, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:14 Evaluating..
2020-01-29 14:15 Predicted for 2001 examples.
2020-01-29 14:15 Done predicting in 97.0580186843872 seconds.
2020-01-29 14:15   Evaluation Accuracy: 99.57 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-29 14:16 Iteration 00189100, loss   0.0038, accuracy 99.85, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:16 Iteration 00189200, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:17 Iteration 00189300, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:18 Iteration 00189400, loss   0.0054, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:18 Iteration 00189500, loss   0.0042, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:19 Iteration 00189600, loss   0.0043, accuracy 99.82, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:20 Iteration 00189700, loss   0.0034, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:20 Iteration 00189800, loss   0.0036, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:21 Iteration 00189900, loss   0.0034, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:22 Iteration 00190000, loss   0.0042, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:22 Evaluating..
2020-01-29 14:23 Predicted for 2001 examples.
2020-01-29 14:23 Done predicting in 97.24107432365417 seconds.
2020-01-29 14:23   Evaluation Accuracy: 99.50 Exact Match: 98.10  Target Accuracy:  0.00
2020-01-29 14:24 Iteration 00190100, loss   0.0013, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:24 Iteration 00190200, loss   0.0016, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:25 Iteration 00190300, loss   0.0116, accuracy 99.69, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:26 Iteration 00190400, loss   0.0020, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:26 Iteration 00190500, loss   0.0039, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:27 Iteration 00190600, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:28 Iteration 00190700, loss   0.0065, accuracy 99.67, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:28 Iteration 00190800, loss   0.0047, accuracy 99.74, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:29 Iteration 00190900, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:30 Iteration 00191000, loss   0.0010, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:30 Evaluating..
2020-01-29 14:31 Predicted for 2001 examples.
2020-01-29 14:31 Done predicting in 97.31627798080444 seconds.
2020-01-29 14:31   Evaluation Accuracy: 99.44 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 14:32 Iteration 00191100, loss   0.0055, accuracy 99.84, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:32 Iteration 00191200, loss   0.0043, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:33 Iteration 00191300, loss   0.0039, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-29 14:34 Iteration 00191400, loss   0.0041, accuracy 99.82, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:34 Iteration 00191500, loss   0.0036, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:35 Iteration 00191600, loss   0.0069, accuracy 99.76, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:36 Iteration 00191700, loss   0.0079, accuracy 99.87, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:36 Iteration 00191800, loss   0.0017, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:37 Iteration 00191900, loss   0.0062, accuracy 99.81, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:38 Iteration 00192000, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:38 Evaluating..
2020-01-29 14:39 Predicted for 2001 examples.
2020-01-29 14:39 Done predicting in 97.01582026481628 seconds.
2020-01-29 14:39   Evaluation Accuracy: 99.55 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-29 14:40 Iteration 00192100, loss   0.0018, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:40 Iteration 00192200, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:41 Iteration 00192300, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:42 Iteration 00192400, loss   0.0063, accuracy 99.73, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:42 Iteration 00192500, loss   0.0030, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:43 Iteration 00192600, loss   0.0027, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:44 Iteration 00192700, loss   0.0046, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:44 Iteration 00192800, loss   0.0044, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:45 Iteration 00192900, loss   0.0046, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:46 Iteration 00193000, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:46 Evaluating..
2020-01-29 14:47 Predicted for 2001 examples.
2020-01-29 14:47 Done predicting in 96.83673429489136 seconds.
2020-01-29 14:47   Evaluation Accuracy: 99.58 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 14:48 Iteration 00193100, loss   0.0033, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:49 Iteration 00193200, loss   0.0020, accuracy 99.94, exact match 99.27, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:49 Iteration 00193300, loss   0.0051, accuracy 99.75, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:50 Iteration 00193400, loss   0.0028, accuracy 99.94, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:50 Iteration 00193500, loss   0.0029, accuracy 99.92, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:51 Iteration 00193600, loss   0.0071, accuracy 99.78, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:52 Iteration 00193700, loss   0.0036, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:52 Iteration 00193800, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:53 Iteration 00193900, loss   0.0056, accuracy 99.78, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:54 Iteration 00194000, loss   0.0056, accuracy 99.78, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:54 Evaluating..
2020-01-29 14:55 Predicted for 2001 examples.
2020-01-29 14:55 Done predicting in 97.17730259895325 seconds.
2020-01-29 14:55   Evaluation Accuracy: 99.51 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 14:56 Iteration 00194100, loss   0.0046, accuracy 99.76, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:57 Iteration 00194200, loss   0.0053, accuracy 99.77, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:57 Iteration 00194300, loss   0.0093, accuracy 99.76, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:58 Iteration 00194400, loss   0.0087, accuracy 99.78, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:58 Iteration 00194500, loss   0.0063, accuracy 99.80, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 14:59 Iteration 00194600, loss   0.0041, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:00 Iteration 00194700, loss   0.0030, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:00 Iteration 00194800, loss   0.0019, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:01 Iteration 00194900, loss   0.0019, accuracy 99.97, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:02 Iteration 00195000, loss   0.0066, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:02 Evaluating..
2020-01-29 15:03 Predicted for 2001 examples.
2020-01-29 15:03 Done predicting in 97.23011064529419 seconds.
2020-01-29 15:03   Evaluation Accuracy: 99.65 Exact Match: 98.60  Target Accuracy:  0.00
2020-01-29 15:04 Iteration 00195100, loss   0.0041, accuracy 99.82, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:05 Iteration 00195200, loss   0.0027, accuracy 99.97, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:05 Iteration 00195300, loss   0.0064, accuracy 99.81, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:06 Iteration 00195400, loss   0.0057, accuracy 99.81, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:06 Iteration 00195500, loss   0.0019, accuracy 99.96, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:07 Iteration 00195600, loss   0.0030, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:08 Iteration 00195700, loss   0.0030, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:08 Iteration 00195800, loss   0.0031, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:09 Iteration 00195900, loss   0.0019, accuracy 99.97, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:10 Iteration 00196000, loss   0.0012, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:10 Evaluating..
2020-01-29 15:11 Predicted for 2001 examples.
2020-01-29 15:11 Done predicting in 96.88118147850037 seconds.
2020-01-29 15:11   Evaluation Accuracy: 99.53 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 15:12 Iteration 00196100, loss   0.0067, accuracy 99.81, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:13 Iteration 00196200, loss   0.0106, accuracy 99.68, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:13 Iteration 00196300, loss   0.0045, accuracy 99.78, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:14 Iteration 00196400, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:15 Iteration 00196500, loss   0.0034, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-29 15:15 Iteration 00196600, loss   0.0058, accuracy 99.73, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:16 Iteration 00196700, loss   0.0012, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:16 Iteration 00196800, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:17 Iteration 00196900, loss   0.0030, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:18 Iteration 00197000, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:18 Evaluating..
2020-01-29 15:19 Predicted for 2001 examples.
2020-01-29 15:19 Done predicting in 95.0839672088623 seconds.
2020-01-29 15:19   Evaluation Accuracy: 99.55 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 15:20 Iteration 00197100, loss   0.0029, accuracy 99.94, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:20 Iteration 00197200, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:21 Iteration 00197300, loss   0.0047, accuracy 99.96, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:22 Iteration 00197400, loss   0.0025, accuracy 99.97, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:22 Iteration 00197500, loss   0.0017, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:23 Iteration 00197600, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:24 Iteration 00197700, loss   0.0039, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:24 Iteration 00197800, loss   0.0089, accuracy 99.79, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:25 Iteration 00197900, loss   0.0029, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:25 Iteration 00198000, loss   0.0040, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:25 Evaluating..
2020-01-29 15:27 Predicted for 2001 examples.
2020-01-29 15:27 Done predicting in 95.18123745918274 seconds.
2020-01-29 15:27   Evaluation Accuracy: 99.52 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-29 15:28 Iteration 00198100, loss   0.0020, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:28 Iteration 00198200, loss   0.0050, accuracy 99.75, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:29 Iteration 00198300, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:30 Iteration 00198400, loss   0.0036, accuracy 99.88, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:30 Iteration 00198500, loss   0.0057, accuracy 99.76, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:31 Iteration 00198600, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:31 Iteration 00198700, loss   0.0041, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:32 Iteration 00198800, loss   0.0044, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:33 Iteration 00198900, loss   0.0064, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:33 Iteration 00199000, loss   0.0044, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:33 Evaluating..
2020-01-29 15:35 Predicted for 2001 examples.
2020-01-29 15:35 Done predicting in 94.88662505149841 seconds.
2020-01-29 15:35   Evaluation Accuracy: 99.52 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 15:35 Iteration 00199100, loss   0.0043, accuracy 99.79, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:36 Iteration 00199200, loss   0.0024, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:37 Iteration 00199300, loss   0.0054, accuracy 99.80, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:37 Iteration 00199400, loss   0.0091, accuracy 99.76, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:38 Iteration 00199500, loss   0.0045, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:39 Iteration 00199600, loss   0.0032, accuracy 99.90, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:39 Iteration 00199700, loss   0.0071, accuracy 99.76, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:40 Iteration 00199800, loss   0.0041, accuracy 99.79, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:40 Iteration 00199900, loss   0.0039, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:41 Iteration 00200000, loss   0.0051, accuracy 99.86, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-29 15:41 Evaluating..
2020-01-29 15:43 Predicted for 2001 examples.
2020-01-29 15:43 Done predicting in 95.02305483818054 seconds.
2020-01-29 15:43   Evaluation Accuracy: 99.60 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-29 15:43 Finished training.
