2020-01-27 15:51 Using CUDA.
2020-01-27 15:51 Cuda version: 10.1.243
2020-01-27 15:51 mode: train
2020-01-27 15:51 output_directory: geca_run_1
2020-01-27 15:51 resume_from_file: 
2020-01-27 15:51 split: test
2020-01-27 15:51 data_directory: data/GECA
2020-01-27 15:51 input_vocab_path: training_input_vocab.txt
2020-01-27 15:51 target_vocab_path: training_target_vocab.txt
2020-01-27 15:51 generate_vocabularies: True
2020-01-27 15:51 training_batch_size: 200
2020-01-27 15:51 k: 0
2020-01-27 15:51 test_batch_size: 1
2020-01-27 15:51 max_training_examples: None
2020-01-27 15:51 learning_rate: 0.001
2020-01-27 15:51 lr_decay: 0.9
2020-01-27 15:51 lr_decay_steps: 20000
2020-01-27 15:51 adam_beta_1: 0.9
2020-01-27 15:51 adam_beta_2: 0.999
2020-01-27 15:51 print_every: 100
2020-01-27 15:51 evaluate_every: 1000
2020-01-27 15:51 max_training_iterations: 200000
2020-01-27 15:51 weight_target_loss: 0.3
2020-01-27 15:51 max_testing_examples: 2000
2020-01-27 15:51 splits: test
2020-01-27 15:51 max_decoding_steps: 120
2020-01-27 15:51 output_file_name: predict.json
2020-01-27 15:51 simple_situation_representation: True
2020-01-27 15:51 cnn_hidden_num_channels: 50
2020-01-27 15:51 cnn_kernel_size: 1
2020-01-27 15:51 cnn_dropout_p: 0.1
2020-01-27 15:51 auxiliary_task: False
2020-01-27 15:51 embedding_dimension: 25
2020-01-27 15:51 num_encoder_layers: 1
2020-01-27 15:51 encoder_hidden_size: 100
2020-01-27 15:51 encoder_dropout_p: 0.3
2020-01-27 15:51 encoder_bidirectional: True
2020-01-27 15:51 num_decoder_layers: 1
2020-01-27 15:51 attention_type: bahdanau
2020-01-27 15:51 decoder_dropout_p: 0.3
2020-01-27 15:51 decoder_hidden_size: 100
2020-01-27 15:51 conditional_attention: True
2020-01-27 15:51 seed: 77
2020-01-27 15:51 Loading Training set...
2020-01-27 15:53 Verb-adverb combinations in training set: 
2020-01-27 15:53 Verbs for adverb: hesitantly
2020-01-27 15:53    walk: 35228 occurrences.
2020-01-27 15:53    push: 32736 occurrences.
2020-01-27 15:53    pull: 35541 occurrences.
2020-01-27 15:53 Verbs for adverb: while spinning
2020-01-27 15:53    walk: 35577 occurrences.
2020-01-27 15:53    push: 32728 occurrences.
2020-01-27 15:53 Verbs for adverb: while zigzagging
2020-01-27 15:53    walk: 35086 occurrences.
2020-01-27 15:53    push: 32440 occurrences.
2020-01-27 15:53    pull: 35159 occurrences.
2020-01-27 15:53 Verbs for adverb: 
2020-01-27 15:53    walk: 35346 occurrences.
2020-01-27 15:53    push: 32681 occurrences.
2020-01-27 15:53    pull: 35410 occurrences.
2020-01-27 15:53 Verbs for adverb: cautiously
2020-01-27 15:53    push: 1 occurrences.
2020-01-27 15:53 Verb-adverb combinations in dev set: 
2020-01-27 15:53 Verbs for adverb: 
2020-01-27 15:53    walk: 357 occurrences.
2020-01-27 15:53    push: 358 occurrences.
2020-01-27 15:53    pull: 339 occurrences.
2020-01-27 15:53 Verbs for adverb: while zigzagging
2020-01-27 15:53    walk: 327 occurrences.
2020-01-27 15:53    pull: 351 occurrences.
2020-01-27 15:53    push: 292 occurrences.
2020-01-27 15:53 Verbs for adverb: hesitantly
2020-01-27 15:53    push: 332 occurrences.
2020-01-27 15:53    walk: 351 occurrences.
2020-01-27 15:53    pull: 336 occurrences.
2020-01-27 15:53 Verbs for adverb: while spinning
2020-01-27 15:53    push: 324 occurrences.
2020-01-27 15:53    walk: 349 occurrences.
2020-01-27 15:53 Generating vocabularies...
2020-01-27 15:53 Populating vocabulary...
2020-01-27 16:05 Done generating vocabularies.
2020-01-27 16:05 Converting dataset to tensors...
2020-01-27 17:04 Done Loading Training set.
2020-01-27 17:04   Loaded 377933 training examples.
2020-01-27 17:04   Input vocabulary size training set: 21
2020-01-27 17:04   Most common input words: [('a', 377933), ('walk', 141237), ('to', 141237), ('cylinder', 131579), ('push', 129625)]
2020-01-27 17:04   Output vocabulary size training set: 9
2020-01-27 17:04   Most common target words: [('turn left', 1854712), ('walk', 1769167), ('stay', 641373), ('pull', 371614), ('turn right', 279534)]
2020-01-27 17:04 Saved vocabularies to training_input_vocab.txt for input and training_target_vocab.txt for target.
2020-01-27 17:04 Loading Test set...
2020-01-27 17:06 Verb-adverb combinations in training set: 
2020-01-27 17:06 Verbs for adverb: hesitantly
2020-01-27 17:06    walk: 35228 occurrences.
2020-01-27 17:06    push: 32736 occurrences.
2020-01-27 17:06    pull: 35541 occurrences.
2020-01-27 17:06 Verbs for adverb: while spinning
2020-01-27 17:06    walk: 35577 occurrences.
2020-01-27 17:06    push: 32728 occurrences.
2020-01-27 17:06 Verbs for adverb: while zigzagging
2020-01-27 17:06    walk: 35086 occurrences.
2020-01-27 17:06    push: 32440 occurrences.
2020-01-27 17:06    pull: 35159 occurrences.
2020-01-27 17:06 Verbs for adverb: 
2020-01-27 17:06    walk: 35346 occurrences.
2020-01-27 17:06    push: 32681 occurrences.
2020-01-27 17:06    pull: 35410 occurrences.
2020-01-27 17:06 Verbs for adverb: cautiously
2020-01-27 17:06    push: 1 occurrences.
2020-01-27 17:06 Verb-adverb combinations in dev set: 
2020-01-27 17:06 Verbs for adverb: 
2020-01-27 17:06    walk: 357 occurrences.
2020-01-27 17:06    push: 358 occurrences.
2020-01-27 17:06    pull: 339 occurrences.
2020-01-27 17:06 Verbs for adverb: while zigzagging
2020-01-27 17:06    walk: 327 occurrences.
2020-01-27 17:06    pull: 351 occurrences.
2020-01-27 17:06    push: 292 occurrences.
2020-01-27 17:06 Verbs for adverb: hesitantly
2020-01-27 17:06    push: 332 occurrences.
2020-01-27 17:06    walk: 351 occurrences.
2020-01-27 17:06    pull: 336 occurrences.
2020-01-27 17:06 Verbs for adverb: while spinning
2020-01-27 17:06    push: 324 occurrences.
2020-01-27 17:06    walk: 349 occurrences.
2020-01-27 17:06 Loading vocabularies...
2020-01-27 17:06 Done loading vocabularies.
2020-01-27 17:06 Converting dataset to tensors...
2020-01-27 17:06 Done Loading Test set.
2020-01-27 17:06 Total parameters: 440275
2020-01-27 17:06 situation_encoder.conv_1.weight : [50, 16, 1, 1]
2020-01-27 17:06 situation_encoder.conv_1.bias : [50]
2020-01-27 17:06 situation_encoder.conv_2.weight : [50, 16, 5, 5]
2020-01-27 17:06 situation_encoder.conv_2.bias : [50]
2020-01-27 17:06 situation_encoder.conv_3.weight : [50, 16, 7, 7]
2020-01-27 17:06 situation_encoder.conv_3.bias : [50]
2020-01-27 17:06 visual_attention.key_layer.weight : [100, 150]
2020-01-27 17:06 visual_attention.query_layer.weight : [100, 100]
2020-01-27 17:06 visual_attention.energy_layer.weight : [1, 100]
2020-01-27 17:06 encoder.embedding.weight : [21, 25]
2020-01-27 17:06 encoder.lstm.weight_ih_l0 : [400, 25]
2020-01-27 17:06 encoder.lstm.weight_hh_l0 : [400, 100]
2020-01-27 17:06 encoder.lstm.bias_ih_l0 : [400]
2020-01-27 17:06 encoder.lstm.bias_hh_l0 : [400]
2020-01-27 17:06 encoder.lstm.weight_ih_l0_reverse : [400, 25]
2020-01-27 17:06 encoder.lstm.weight_hh_l0_reverse : [400, 100]
2020-01-27 17:06 encoder.lstm.bias_ih_l0_reverse : [400]
2020-01-27 17:06 encoder.lstm.bias_hh_l0_reverse : [400]
2020-01-27 17:06 enc_hidden_to_dec_hidden.weight : [100, 100]
2020-01-27 17:06 enc_hidden_to_dec_hidden.bias : [100]
2020-01-27 17:06 textual_attention.key_layer.weight : [100, 100]
2020-01-27 17:06 textual_attention.query_layer.weight : [100, 100]
2020-01-27 17:06 textual_attention.energy_layer.weight : [1, 100]
2020-01-27 17:06 attention_decoder.queries_to_keys.weight : [100, 200]
2020-01-27 17:06 attention_decoder.queries_to_keys.bias : [100]
2020-01-27 17:06 attention_decoder.embedding.weight : [9, 100]
2020-01-27 17:06 attention_decoder.lstm.weight_ih_l0 : [400, 300]
2020-01-27 17:06 attention_decoder.lstm.weight_hh_l0 : [400, 100]
2020-01-27 17:06 attention_decoder.lstm.bias_ih_l0 : [400]
2020-01-27 17:06 attention_decoder.lstm.bias_hh_l0 : [400]
2020-01-27 17:06 attention_decoder.output_to_hidden.weight : [100, 400]
2020-01-27 17:06 attention_decoder.hidden_to_output.weight : [9, 100]
2020-01-27 17:06 Training starts..
2020-01-27 17:07 Iteration 00000100, loss   0.5405, accuracy 79.24, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:07 Iteration 00000200, loss   0.4199, accuracy 83.18, exact match  2.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:08 Iteration 00000300, loss   0.3756, accuracy 84.36, exact match  2.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:09 Iteration 00000400, loss   0.3311, accuracy 86.40, exact match  3.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:09 Iteration 00000500, loss   0.3079, accuracy 87.02, exact match  1.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:10 Iteration 00000600, loss   0.3054, accuracy 86.55, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:11 Iteration 00000700, loss   0.3125, accuracy 87.35, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:11 Iteration 00000800, loss   0.3162, accuracy 87.00, exact match  4.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:12 Iteration 00000900, loss   0.2982, accuracy 87.67, exact match  8.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-27 17:13 Iteration 00001000, loss   0.3125, accuracy 87.49, exact match  6.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:13 Evaluating..
2020-01-27 17:15 Predicted for 2001 examples.
2020-01-27 17:15 Done predicting in 140.99844884872437 seconds.
2020-01-27 17:15   Evaluation Accuracy: 48.82 Exact Match:  7.65  Target Accuracy:  0.00
2020-01-27 17:16 Iteration 00001100, loss   0.2911, accuracy 87.59, exact match  8.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:16 Iteration 00001200, loss   0.3063, accuracy 87.26, exact match  7.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:17 Iteration 00001300, loss   0.2706, accuracy 89.09, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:17 Iteration 00001400, loss   0.2822, accuracy 88.09, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:18 Iteration 00001500, loss   0.2836, accuracy 88.71, exact match  8.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:19 Iteration 00001600, loss   0.2748, accuracy 89.30, exact match 10.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:19 Iteration 00001700, loss   0.2765, accuracy 89.16, exact match 10.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:20 Iteration 00001800, loss   0.2809, accuracy 88.61, exact match 10.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:21 Iteration 00001900, loss   0.2582, accuracy 89.01, exact match 11.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:21 Iteration 00002000, loss   0.2866, accuracy 87.65, exact match 11.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:21 Evaluating..
2020-01-27 17:24 Predicted for 2001 examples.
2020-01-27 17:24 Done predicting in 135.37722420692444 seconds.
2020-01-27 17:24   Evaluation Accuracy: 51.62 Exact Match: 11.45  Target Accuracy:  0.00
2020-01-27 17:24 Iteration 00002100, loss   0.2731, accuracy 88.91, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:25 Iteration 00002200, loss   0.2619, accuracy 89.17, exact match 12.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:26 Iteration 00002300, loss   0.2971, accuracy 88.04, exact match 13.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:26 Iteration 00002400, loss   0.2831, accuracy 88.16, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:27 Iteration 00002500, loss   0.2515, accuracy 89.58, exact match 14.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:28 Iteration 00002600, loss   0.2562, accuracy 89.38, exact match 13.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:28 Iteration 00002700, loss   0.2443, accuracy 89.85, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:29 Iteration 00002800, loss   0.2313, accuracy 90.55, exact match 19.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-27 17:30 Iteration 00002900, loss   0.2662, accuracy 88.97, exact match 12.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:30 Iteration 00003000, loss   0.2482, accuracy 89.51, exact match 15.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:30 Evaluating..
2020-01-27 17:32 Predicted for 2001 examples.
2020-01-27 17:32 Done predicting in 128.94076657295227 seconds.
2020-01-27 17:32   Evaluation Accuracy: 54.38 Exact Match: 15.30  Target Accuracy:  0.00
2020-01-27 17:33 Iteration 00003100, loss   0.2398, accuracy 90.78, exact match 15.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:34 Iteration 00003200, loss   0.2595, accuracy 89.30, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:34 Iteration 00003300, loss   0.2303, accuracy 90.75, exact match 18.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:35 Iteration 00003400, loss   0.2462, accuracy 89.96, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:36 Iteration 00003500, loss   0.2368, accuracy 91.81, exact match 22.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:36 Iteration 00003600, loss   0.2422, accuracy 89.94, exact match 21.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:37 Iteration 00003700, loss   0.2333, accuracy 90.44, exact match 14.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:38 Iteration 00003800, loss   0.2554, accuracy 89.68, exact match 17.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:38 Iteration 00003900, loss   0.2295, accuracy 90.06, exact match 17.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:39 Iteration 00004000, loss   0.2428, accuracy 90.39, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:39 Evaluating..
2020-01-27 17:41 Predicted for 2001 examples.
2020-01-27 17:41 Done predicting in 127.80480599403381 seconds.
2020-01-27 17:41   Evaluation Accuracy: 56.75 Exact Match: 18.90  Target Accuracy:  0.00
2020-01-27 17:42 Iteration 00004100, loss   0.2066, accuracy 91.90, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:42 Iteration 00004200, loss   0.2133, accuracy 90.93, exact match 20.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:43 Iteration 00004300, loss   0.2118, accuracy 91.27, exact match 27.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:44 Iteration 00004400, loss   0.1808, accuracy 92.59, exact match 22.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:44 Iteration 00004500, loss   0.2118, accuracy 91.56, exact match 19.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:45 Iteration 00004600, loss   0.2033, accuracy 92.39, exact match 25.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:46 Iteration 00004700, loss   0.2027, accuracy 92.60, exact match 33.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:46 Iteration 00004800, loss   0.1801, accuracy 92.76, exact match 24.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-27 17:47 Iteration 00004900, loss   0.1958, accuracy 92.81, exact match 33.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:48 Iteration 00005000, loss   0.1939, accuracy 92.13, exact match 29.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:48 Evaluating..
2020-01-27 17:50 Predicted for 2001 examples.
2020-01-27 17:50 Done predicting in 116.68210983276367 seconds.
2020-01-27 17:50   Evaluation Accuracy: 63.99 Exact Match: 28.95  Target Accuracy:  0.00
2020-01-27 17:50 Iteration 00005100, loss   0.1848, accuracy 92.43, exact match 25.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:51 Iteration 00005200, loss   0.1739, accuracy 93.22, exact match 33.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:51 Iteration 00005300, loss   0.1586, accuracy 93.49, exact match 37.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:52 Iteration 00005400, loss   0.1670, accuracy 93.52, exact match 33.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:53 Iteration 00005500, loss   0.1588, accuracy 93.48, exact match 33.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:53 Iteration 00005600, loss   0.1798, accuracy 93.01, exact match 32.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:54 Iteration 00005700, loss   0.1552, accuracy 93.67, exact match 37.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:55 Iteration 00005800, loss   0.1739, accuracy 93.23, exact match 37.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:55 Iteration 00005900, loss   0.1577, accuracy 93.45, exact match 39.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:56 Iteration 00006000, loss   0.1521, accuracy 94.32, exact match 41.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:56 Evaluating..
2020-01-27 17:58 Predicted for 2001 examples.
2020-01-27 17:58 Done predicting in 114.65397953987122 seconds.
2020-01-27 17:58   Evaluation Accuracy: 70.80 Exact Match: 40.20  Target Accuracy:  0.00
2020-01-27 17:59 Iteration 00006100, loss   0.1441, accuracy 94.33, exact match 43.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 17:59 Iteration 00006200, loss   0.1573, accuracy 94.27, exact match 39.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:00 Iteration 00006300, loss   0.1449, accuracy 94.54, exact match 45.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:01 Iteration 00006400, loss   0.1404, accuracy 94.36, exact match 42.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:01 Iteration 00006500, loss   0.1343, accuracy 94.54, exact match 43.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:02 Iteration 00006600, loss   0.1326, accuracy 94.69, exact match 45.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:03 Iteration 00006700, loss   0.1373, accuracy 94.64, exact match 45.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-27 18:03 Iteration 00006800, loss   0.1360, accuracy 94.62, exact match 47.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:04 Iteration 00006900, loss   0.1364, accuracy 94.80, exact match 47.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:04 Iteration 00007000, loss   0.1108, accuracy 95.43, exact match 47.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:04 Evaluating..
2020-01-27 18:06 Predicted for 2001 examples.
2020-01-27 18:06 Done predicting in 105.94224977493286 seconds.
2020-01-27 18:06   Evaluation Accuracy: 76.71 Exact Match: 48.15  Target Accuracy:  0.00
2020-01-27 18:07 Iteration 00007100, loss   0.1268, accuracy 94.95, exact match 41.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:08 Iteration 00007200, loss   0.1303, accuracy 94.53, exact match 46.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:08 Iteration 00007300, loss   0.1119, accuracy 95.28, exact match 50.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:09 Iteration 00007400, loss   0.1165, accuracy 95.52, exact match 53.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:10 Iteration 00007500, loss   0.1143, accuracy 95.44, exact match 51.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:10 Iteration 00007600, loss   0.1245, accuracy 94.88, exact match 47.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:11 Iteration 00007700, loss   0.1031, accuracy 95.77, exact match 55.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:12 Iteration 00007800, loss   0.0991, accuracy 96.25, exact match 55.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:12 Iteration 00007900, loss   0.0992, accuracy 96.37, exact match 55.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:13 Iteration 00008000, loss   0.0957, accuracy 96.44, exact match 57.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:13 Evaluating..
2020-01-27 18:15 Predicted for 2001 examples.
2020-01-27 18:15 Done predicting in 103.53699159622192 seconds.
2020-01-27 18:15   Evaluation Accuracy: 81.98 Exact Match: 56.55  Target Accuracy:  0.00
2020-01-27 18:15 Iteration 00008100, loss   0.1109, accuracy 95.39, exact match 53.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:16 Iteration 00008200, loss   0.1144, accuracy 95.43, exact match 51.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:16 Iteration 00008300, loss   0.1030, accuracy 95.83, exact match 54.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:17 Iteration 00008400, loss   0.0931, accuracy 96.39, exact match 58.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:18 Iteration 00008500, loss   0.1173, accuracy 95.22, exact match 48.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:18 Iteration 00008600, loss   0.0930, accuracy 96.25, exact match 59.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:19 Iteration 00008700, loss   0.1004, accuracy 96.64, exact match 61.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-27 18:20 Iteration 00008800, loss   0.0892, accuracy 96.78, exact match 64.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:20 Iteration 00008900, loss   0.0946, accuracy 96.34, exact match 60.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:21 Iteration 00009000, loss   0.1081, accuracy 95.38, exact match 55.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:21 Evaluating..
2020-01-27 18:23 Predicted for 2001 examples.
2020-01-27 18:23 Done predicting in 100.20531558990479 seconds.
2020-01-27 18:23   Evaluation Accuracy: 85.78 Exact Match: 63.00  Target Accuracy:  0.00
2020-01-27 18:23 Iteration 00009100, loss   0.0892, accuracy 96.55, exact match 59.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:24 Iteration 00009200, loss   0.0952, accuracy 96.30, exact match 61.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:25 Iteration 00009300, loss   0.0860, accuracy 96.59, exact match 58.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:25 Iteration 00009400, loss   0.0922, accuracy 96.26, exact match 58.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:26 Iteration 00009500, loss   0.0687, accuracy 97.32, exact match 68.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:27 Iteration 00009600, loss   0.0838, accuracy 96.19, exact match 59.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:27 Iteration 00009700, loss   0.0680, accuracy 97.29, exact match 65.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:28 Iteration 00009800, loss   0.0791, accuracy 96.61, exact match 63.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:29 Iteration 00009900, loss   0.0822, accuracy 96.53, exact match 64.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:29 Iteration 00010000, loss   0.0878, accuracy 96.10, exact match 57.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:29 Evaluating..
2020-01-27 18:31 Predicted for 2001 examples.
2020-01-27 18:31 Done predicting in 101.84394264221191 seconds.
2020-01-27 18:31   Evaluation Accuracy: 87.07 Exact Match: 65.20  Target Accuracy:  0.00
2020-01-27 18:32 Iteration 00010100, loss   0.0790, accuracy 96.85, exact match 61.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:32 Iteration 00010200, loss   0.0763, accuracy 96.99, exact match 62.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:33 Iteration 00010300, loss   0.0714, accuracy 97.04, exact match 67.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:33 Iteration 00010400, loss   0.0811, accuracy 96.45, exact match 58.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:34 Iteration 00010500, loss   0.0834, accuracy 96.81, exact match 62.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:35 Iteration 00010600, loss   0.0885, accuracy 96.29, exact match 62.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:35 Iteration 00010700, loss   0.0658, accuracy 97.44, exact match 68.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-27 18:36 Iteration 00010800, loss   0.0674, accuracy 97.34, exact match 67.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:37 Iteration 00010900, loss   0.0758, accuracy 96.77, exact match 62.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:37 Iteration 00011000, loss   0.0707, accuracy 96.91, exact match 66.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:37 Evaluating..
2020-01-27 18:39 Predicted for 2001 examples.
2020-01-27 18:39 Done predicting in 97.91627979278564 seconds.
2020-01-27 18:39   Evaluation Accuracy: 88.51 Exact Match: 69.70  Target Accuracy:  0.00
2020-01-27 18:40 Iteration 00011100, loss   0.0710, accuracy 97.60, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:40 Iteration 00011200, loss   0.0676, accuracy 97.66, exact match 69.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:41 Iteration 00011300, loss   0.0869, accuracy 95.99, exact match 59.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:41 Iteration 00011400, loss   0.0787, accuracy 96.65, exact match 64.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:42 Iteration 00011500, loss   0.0619, accuracy 97.42, exact match 69.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:43 Iteration 00011600, loss   0.0603, accuracy 97.44, exact match 72.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:43 Iteration 00011700, loss   0.0723, accuracy 96.87, exact match 68.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:44 Iteration 00011800, loss   0.0722, accuracy 97.06, exact match 65.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:45 Iteration 00011900, loss   0.0685, accuracy 97.12, exact match 70.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:45 Iteration 00012000, loss   0.0646, accuracy 97.31, exact match 70.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:45 Evaluating..
2020-01-27 18:47 Predicted for 2001 examples.
2020-01-27 18:47 Done predicting in 96.36229920387268 seconds.
2020-01-27 18:47   Evaluation Accuracy: 89.60 Exact Match: 72.20  Target Accuracy:  0.00
2020-01-27 18:47 Iteration 00012100, loss   0.0700, accuracy 96.56, exact match 58.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:48 Iteration 00012200, loss   0.0691, accuracy 97.08, exact match 66.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:49 Iteration 00012300, loss   0.0726, accuracy 97.08, exact match 64.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:49 Iteration 00012400, loss   0.0651, accuracy 97.25, exact match 68.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:50 Iteration 00012500, loss   0.0793, accuracy 97.06, exact match 66.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:51 Iteration 00012600, loss   0.0721, accuracy 97.20, exact match 67.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:51 Iteration 00012700, loss   0.0662, accuracy 97.27, exact match 68.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-27 18:52 Iteration 00012800, loss   0.0602, accuracy 97.40, exact match 70.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:53 Iteration 00012900, loss   0.0720, accuracy 97.32, exact match 65.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:53 Iteration 00013000, loss   0.0657, accuracy 97.40, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:53 Evaluating..
2020-01-27 18:55 Predicted for 2001 examples.
2020-01-27 18:55 Done predicting in 97.45232462882996 seconds.
2020-01-27 18:55   Evaluation Accuracy: 89.36 Exact Match: 72.45  Target Accuracy:  0.00
2020-01-27 18:55 Iteration 00013100, loss   0.0596, accuracy 97.88, exact match 71.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:56 Iteration 00013200, loss   0.0676, accuracy 97.53, exact match 70.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:57 Iteration 00013300, loss   0.0655, accuracy 97.68, exact match 72.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:57 Iteration 00013400, loss   0.0548, accuracy 97.96, exact match 74.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:58 Iteration 00013500, loss   0.0607, accuracy 97.96, exact match 76.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:59 Iteration 00013600, loss   0.0673, accuracy 97.50, exact match 73.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 18:59 Iteration 00013700, loss   0.0667, accuracy 97.56, exact match 70.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:00 Iteration 00013800, loss   0.0577, accuracy 97.54, exact match 70.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:01 Iteration 00013900, loss   0.0626, accuracy 97.48, exact match 71.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:01 Iteration 00014000, loss   0.0538, accuracy 98.04, exact match 80.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:01 Evaluating..
2020-01-27 19:03 Predicted for 2001 examples.
2020-01-27 19:03 Done predicting in 97.40793323516846 seconds.
2020-01-27 19:03   Evaluation Accuracy: 90.63 Exact Match: 75.30  Target Accuracy:  0.00
2020-01-27 19:03 Iteration 00014100, loss   0.0630, accuracy 97.71, exact match 71.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:04 Iteration 00014200, loss   0.0543, accuracy 98.05, exact match 77.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:05 Iteration 00014300, loss   0.0603, accuracy 97.79, exact match 76.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:05 Iteration 00014400, loss   0.0645, accuracy 97.89, exact match 75.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:06 Iteration 00014500, loss   0.0589, accuracy 97.54, exact match 71.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:07 Iteration 00014600, loss   0.0524, accuracy 98.03, exact match 73.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:07 Iteration 00014700, loss   0.0675, accuracy 97.45, exact match 70.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-27 19:08 Iteration 00014800, loss   0.0607, accuracy 97.66, exact match 72.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:09 Iteration 00014900, loss   0.0588, accuracy 97.80, exact match 74.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:09 Iteration 00015000, loss   0.0525, accuracy 97.93, exact match 73.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:09 Evaluating..
2020-01-27 19:11 Predicted for 2001 examples.
2020-01-27 19:11 Done predicting in 97.33209419250488 seconds.
2020-01-27 19:11   Evaluation Accuracy: 91.20 Exact Match: 76.60  Target Accuracy:  0.00
2020-01-27 19:11 Iteration 00015100, loss   0.0515, accuracy 98.11, exact match 77.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:12 Iteration 00015200, loss   0.0482, accuracy 98.36, exact match 80.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:13 Iteration 00015300, loss   0.0625, accuracy 97.51, exact match 72.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:13 Iteration 00015400, loss   0.0479, accuracy 98.20, exact match 77.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:14 Iteration 00015500, loss   0.0496, accuracy 98.11, exact match 78.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:15 Iteration 00015600, loss   0.0511, accuracy 97.83, exact match 71.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:15 Iteration 00015700, loss   0.0488, accuracy 98.02, exact match 79.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:16 Iteration 00015800, loss   0.0519, accuracy 98.18, exact match 78.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:16 Iteration 00015900, loss   0.0733, accuracy 97.02, exact match 64.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:17 Iteration 00016000, loss   0.0505, accuracy 97.98, exact match 77.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:17 Evaluating..
2020-01-27 19:19 Predicted for 2001 examples.
2020-01-27 19:19 Done predicting in 97.10957837104797 seconds.
2020-01-27 19:19   Evaluation Accuracy: 91.74 Exact Match: 78.35  Target Accuracy:  0.00
2020-01-27 19:19 Iteration 00016100, loss   0.0590, accuracy 97.48, exact match 71.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:20 Iteration 00016200, loss   0.0473, accuracy 98.26, exact match 79.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:21 Iteration 00016300, loss   0.0519, accuracy 98.04, exact match 78.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:21 Iteration 00016400, loss   0.0585, accuracy 98.03, exact match 75.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:22 Iteration 00016500, loss   0.0504, accuracy 98.01, exact match 76.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:23 Iteration 00016600, loss   0.0464, accuracy 98.22, exact match 78.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:23 Iteration 00016700, loss   0.0434, accuracy 98.69, exact match 83.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:24 Iteration 00016800, loss   0.0497, accuracy 98.05, exact match 78.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-27 19:24 Iteration 00016900, loss   0.0582, accuracy 97.71, exact match 72.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:25 Iteration 00017000, loss   0.0508, accuracy 98.17, exact match 77.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:25 Evaluating..
2020-01-27 19:27 Predicted for 2001 examples.
2020-01-27 19:27 Done predicting in 97.69818449020386 seconds.
2020-01-27 19:27   Evaluation Accuracy: 92.11 Exact Match: 79.00  Target Accuracy:  0.00
2020-01-27 19:27 Iteration 00017100, loss   0.0479, accuracy 98.26, exact match 75.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:28 Iteration 00017200, loss   0.0526, accuracy 98.04, exact match 75.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:29 Iteration 00017300, loss   0.0608, accuracy 97.76, exact match 75.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:29 Iteration 00017400, loss   0.0501, accuracy 97.90, exact match 73.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:30 Iteration 00017500, loss   0.0461, accuracy 98.23, exact match 79.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:31 Iteration 00017600, loss   0.0604, accuracy 97.54, exact match 74.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:31 Iteration 00017700, loss   0.0458, accuracy 98.11, exact match 77.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:32 Iteration 00017800, loss   0.0526, accuracy 97.85, exact match 74.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:32 Iteration 00017900, loss   0.0432, accuracy 98.42, exact match 79.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:33 Iteration 00018000, loss   0.0564, accuracy 97.76, exact match 72.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:33 Evaluating..
2020-01-27 19:35 Predicted for 2001 examples.
2020-01-27 19:35 Done predicting in 97.23143148422241 seconds.
2020-01-27 19:35   Evaluation Accuracy: 92.13 Exact Match: 78.90  Target Accuracy:  0.00
2020-01-27 19:35 Iteration 00018100, loss   0.0506, accuracy 97.98, exact match 75.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:36 Iteration 00018200, loss   0.0513, accuracy 98.06, exact match 77.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:37 Iteration 00018300, loss   0.0395, accuracy 98.44, exact match 81.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:37 Iteration 00018400, loss   0.0504, accuracy 97.96, exact match 74.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:38 Iteration 00018500, loss   0.0546, accuracy 98.11, exact match 77.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:38 Iteration 00018600, loss   0.0581, accuracy 97.46, exact match 73.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:39 Iteration 00018700, loss   0.0521, accuracy 97.84, exact match 74.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:40 Iteration 00018800, loss   0.0489, accuracy 98.27, exact match 80.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:40 Iteration 00018900, loss   0.0443, accuracy 98.57, exact match 81.95, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-27 19:41 Iteration 00019000, loss   0.0445, accuracy 98.30, exact match 79.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:41 Evaluating..
2020-01-27 19:43 Predicted for 2001 examples.
2020-01-27 19:43 Done predicting in 96.33353066444397 seconds.
2020-01-27 19:43   Evaluation Accuracy: 92.44 Exact Match: 79.95  Target Accuracy:  0.00
2020-01-27 19:43 Iteration 00019100, loss   0.0415, accuracy 98.34, exact match 78.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:44 Iteration 00019200, loss   0.0448, accuracy 98.31, exact match 80.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:45 Iteration 00019300, loss   0.0471, accuracy 98.08, exact match 78.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:45 Iteration 00019400, loss   0.0485, accuracy 97.99, exact match 74.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:46 Iteration 00019500, loss   0.0420, accuracy 98.22, exact match 78.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:46 Iteration 00019600, loss   0.0368, accuracy 98.46, exact match 81.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:47 Iteration 00019700, loss   0.0411, accuracy 98.17, exact match 77.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:48 Iteration 00019800, loss   0.0528, accuracy 97.92, exact match 77.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:48 Iteration 00019900, loss   0.0384, accuracy 98.31, exact match 76.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:49 Iteration 00020000, loss   0.0576, accuracy 97.93, exact match 78.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:49 Evaluating..
2020-01-27 19:51 Predicted for 2001 examples.
2020-01-27 19:51 Done predicting in 95.49058032035828 seconds.
2020-01-27 19:51   Evaluation Accuracy: 92.45 Exact Match: 80.15  Target Accuracy:  0.00
2020-01-27 19:51 Iteration 00020100, loss   0.0473, accuracy 98.29, exact match 79.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:52 Iteration 00020200, loss   0.0423, accuracy 98.41, exact match 78.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:52 Iteration 00020300, loss   0.0440, accuracy 98.14, exact match 76.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:53 Iteration 00020400, loss   0.0405, accuracy 98.52, exact match 79.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:54 Iteration 00020500, loss   0.0500, accuracy 98.19, exact match 80.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:54 Iteration 00020600, loss   0.0309, accuracy 98.90, exact match 85.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:55 Iteration 00020700, loss   0.0384, accuracy 98.34, exact match 80.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:56 Iteration 00020800, loss   0.0447, accuracy 98.45, exact match 79.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:56 Iteration 00020900, loss   0.0415, accuracy 98.08, exact match 77.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:57 Iteration 00021000, loss   0.0408, accuracy 98.60, exact match 82.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-27 19:57 Evaluating..
2020-01-27 19:59 Predicted for 2001 examples.
2020-01-27 19:59 Done predicting in 97.42781352996826 seconds.
2020-01-27 19:59   Evaluation Accuracy: 92.44 Exact Match: 80.25  Target Accuracy:  0.00
2020-01-27 19:59 Iteration 00021100, loss   0.0380, accuracy 98.50, exact match 80.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:00 Iteration 00021200, loss   0.0409, accuracy 98.54, exact match 81.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:00 Iteration 00021300, loss   0.0596, accuracy 97.60, exact match 72.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:01 Iteration 00021400, loss   0.0442, accuracy 98.14, exact match 80.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:02 Iteration 00021500, loss   0.0429, accuracy 98.47, exact match 81.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:02 Iteration 00021600, loss   0.0394, accuracy 98.54, exact match 82.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:03 Iteration 00021700, loss   0.0433, accuracy 98.41, exact match 82.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:04 Iteration 00021800, loss   0.0463, accuracy 98.33, exact match 78.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:04 Iteration 00021900, loss   0.0382, accuracy 98.65, exact match 83.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:05 Iteration 00022000, loss   0.0536, accuracy 98.16, exact match 80.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:05 Evaluating..
2020-01-27 20:06 Predicted for 2001 examples.
2020-01-27 20:06 Done predicting in 95.41551446914673 seconds.
2020-01-27 20:06   Evaluation Accuracy: 92.69 Exact Match: 81.45  Target Accuracy:  0.00
2020-01-27 20:07 Iteration 00022100, loss   0.0442, accuracy 98.37, exact match 80.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:08 Iteration 00022200, loss   0.0564, accuracy 97.96, exact match 77.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:08 Iteration 00022300, loss   0.0420, accuracy 98.19, exact match 77.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:09 Iteration 00022400, loss   0.0440, accuracy 98.56, exact match 80.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:10 Iteration 00022500, loss   0.0334, accuracy 98.77, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:10 Iteration 00022600, loss   0.0404, accuracy 98.43, exact match 82.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:11 Iteration 00022700, loss   0.0363, accuracy 98.81, exact match 84.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:12 Iteration 00022800, loss   0.0393, accuracy 98.51, exact match 83.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:12 Iteration 00022900, loss   0.0518, accuracy 97.94, exact match 74.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:13 Iteration 00023000, loss   0.0351, accuracy 98.73, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:13 Evaluating..
2020-01-27 20:14 Predicted for 2001 examples.
2020-01-27 20:14 Done predicting in 96.16540145874023 seconds.
2020-01-27 20:14   Evaluation Accuracy: 92.99 Exact Match: 81.65  Target Accuracy:  0.00
2020-01-27 20:15 Iteration 00023100, loss   0.0472, accuracy 98.05, exact match 76.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-27 20:16 Iteration 00023200, loss   0.0362, accuracy 98.52, exact match 82.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:16 Iteration 00023300, loss   0.0463, accuracy 98.23, exact match 80.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:17 Iteration 00023400, loss   0.0293, accuracy 98.79, exact match 85.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:18 Iteration 00023500, loss   0.0435, accuracy 98.12, exact match 78.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:18 Iteration 00023600, loss   0.0372, accuracy 98.53, exact match 80.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:19 Iteration 00023700, loss   0.0432, accuracy 98.29, exact match 79.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:19 Iteration 00023800, loss   0.0390, accuracy 98.47, exact match 79.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:20 Iteration 00023900, loss   0.0434, accuracy 98.16, exact match 78.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:21 Iteration 00024000, loss   0.0530, accuracy 98.06, exact match 75.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:21 Evaluating..
2020-01-27 20:22 Predicted for 2001 examples.
2020-01-27 20:22 Done predicting in 96.54834842681885 seconds.
2020-01-27 20:22   Evaluation Accuracy: 93.52 Exact Match: 83.25  Target Accuracy:  0.00
2020-01-27 20:23 Iteration 00024100, loss   0.0482, accuracy 98.21, exact match 78.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:24 Iteration 00024200, loss   0.0481, accuracy 98.26, exact match 80.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:24 Iteration 00024300, loss   0.0463, accuracy 98.07, exact match 78.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:25 Iteration 00024400, loss   0.0442, accuracy 98.31, exact match 78.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:26 Iteration 00024500, loss   0.0450, accuracy 98.32, exact match 82.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:26 Iteration 00024600, loss   0.0296, accuracy 98.88, exact match 85.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:27 Iteration 00024700, loss   0.0426, accuracy 98.28, exact match 79.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:27 Iteration 00024800, loss   0.0374, accuracy 98.66, exact match 82.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:28 Iteration 00024900, loss   0.0357, accuracy 98.76, exact match 85.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:29 Iteration 00025000, loss   0.0412, accuracy 98.40, exact match 81.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:29 Evaluating..
2020-01-27 20:30 Predicted for 2001 examples.
2020-01-27 20:30 Done predicting in 96.35630249977112 seconds.
2020-01-27 20:30   Evaluation Accuracy: 93.18 Exact Match: 82.10  Target Accuracy:  0.00
2020-01-27 20:31 Iteration 00025100, loss   0.0378, accuracy 98.29, exact match 79.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:32 Iteration 00025200, loss   0.0349, accuracy 98.63, exact match 80.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:32 Iteration 00025300, loss   0.0298, accuracy 98.80, exact match 83.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-27 20:33 Iteration 00025400, loss   0.0531, accuracy 98.22, exact match 77.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:33 Iteration 00025500, loss   0.0343, accuracy 98.96, exact match 85.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:34 Iteration 00025600, loss   0.0368, accuracy 99.00, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:35 Iteration 00025700, loss   0.0379, accuracy 98.44, exact match 78.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:35 Iteration 00025800, loss   0.0394, accuracy 98.46, exact match 80.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:36 Iteration 00025900, loss   0.0271, accuracy 98.83, exact match 85.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:37 Iteration 00026000, loss   0.0336, accuracy 98.67, exact match 83.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:37 Evaluating..
2020-01-27 20:38 Predicted for 2001 examples.
2020-01-27 20:38 Done predicting in 96.87938261032104 seconds.
2020-01-27 20:38   Evaluation Accuracy: 93.25 Exact Match: 83.40  Target Accuracy:  0.00
2020-01-27 20:39 Iteration 00026100, loss   0.0460, accuracy 98.34, exact match 79.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:40 Iteration 00026200, loss   0.0296, accuracy 98.92, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:40 Iteration 00026300, loss   0.0313, accuracy 98.78, exact match 84.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:41 Iteration 00026400, loss   0.0352, accuracy 98.57, exact match 81.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:41 Iteration 00026500, loss   0.0403, accuracy 98.72, exact match 84.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:42 Iteration 00026600, loss   0.0343, accuracy 98.72, exact match 82.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:43 Iteration 00026700, loss   0.0396, accuracy 98.46, exact match 78.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:43 Iteration 00026800, loss   0.0296, accuracy 98.69, exact match 85.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:44 Iteration 00026900, loss   0.0397, accuracy 98.33, exact match 80.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:45 Iteration 00027000, loss   0.0415, accuracy 98.42, exact match 81.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:45 Evaluating..
2020-01-27 20:46 Predicted for 2001 examples.
2020-01-27 20:46 Done predicting in 97.23774933815002 seconds.
2020-01-27 20:46   Evaluation Accuracy: 93.62 Exact Match: 83.85  Target Accuracy:  0.00
2020-01-27 20:47 Iteration 00027100, loss   0.0293, accuracy 98.81, exact match 84.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:48 Iteration 00027200, loss   0.0342, accuracy 98.58, exact match 81.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:48 Iteration 00027300, loss   0.0504, accuracy 97.96, exact match 75.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:49 Iteration 00027400, loss   0.0341, accuracy 98.68, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:49 Iteration 00027500, loss   0.0301, accuracy 98.82, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-27 20:50 Iteration 00027600, loss   0.0314, accuracy 98.82, exact match 84.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:51 Iteration 00027700, loss   0.0380, accuracy 98.38, exact match 79.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:51 Iteration 00027800, loss   0.0443, accuracy 98.46, exact match 81.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:52 Iteration 00027900, loss   0.0395, accuracy 98.69, exact match 85.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:53 Iteration 00028000, loss   0.0308, accuracy 98.73, exact match 83.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:53 Evaluating..
2020-01-27 20:54 Predicted for 2001 examples.
2020-01-27 20:54 Done predicting in 95.10230302810669 seconds.
2020-01-27 20:54   Evaluation Accuracy: 93.83 Exact Match: 84.90  Target Accuracy:  0.00
2020-01-27 20:55 Iteration 00028100, loss   0.0275, accuracy 99.01, exact match 87.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:55 Iteration 00028200, loss   0.0309, accuracy 98.61, exact match 83.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:56 Iteration 00028300, loss   0.0306, accuracy 98.92, exact match 85.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:57 Iteration 00028400, loss   0.0284, accuracy 98.91, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:57 Iteration 00028500, loss   0.0353, accuracy 98.48, exact match 81.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:58 Iteration 00028600, loss   0.0324, accuracy 98.72, exact match 83.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:59 Iteration 00028700, loss   0.0298, accuracy 98.97, exact match 86.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 20:59 Iteration 00028800, loss   0.0221, accuracy 99.15, exact match 88.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:00 Iteration 00028900, loss   0.0351, accuracy 98.64, exact match 85.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:01 Iteration 00029000, loss   0.0371, accuracy 98.61, exact match 80.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:01 Evaluating..
2020-01-27 21:02 Predicted for 2001 examples.
2020-01-27 21:02 Done predicting in 96.31532859802246 seconds.
2020-01-27 21:02   Evaluation Accuracy: 93.58 Exact Match: 83.55  Target Accuracy:  0.00
2020-01-27 21:03 Iteration 00029100, loss   0.0339, accuracy 98.76, exact match 85.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:03 Iteration 00029200, loss   0.0268, accuracy 99.11, exact match 88.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:04 Iteration 00029300, loss   0.0291, accuracy 98.87, exact match 87.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:05 Iteration 00029400, loss   0.0403, accuracy 98.36, exact match 80.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:05 Iteration 00029500, loss   0.0299, accuracy 98.88, exact match 84.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:06 Iteration 00029600, loss   0.0336, accuracy 98.61, exact match 83.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:07 Iteration 00029700, loss   0.0344, accuracy 98.91, exact match 86.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-27 21:07 Iteration 00029800, loss   0.0264, accuracy 98.92, exact match 85.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:08 Iteration 00029900, loss   0.0337, accuracy 98.75, exact match 82.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:08 Iteration 00030000, loss   0.0399, accuracy 98.40, exact match 82.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:08 Evaluating..
2020-01-27 21:10 Predicted for 2001 examples.
2020-01-27 21:10 Done predicting in 96.2998697757721 seconds.
2020-01-27 21:10   Evaluation Accuracy: 93.62 Exact Match: 83.85  Target Accuracy:  0.00
2020-01-27 21:11 Iteration 00030100, loss   0.0239, accuracy 99.14, exact match 87.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:11 Iteration 00030200, loss   0.0321, accuracy 98.81, exact match 86.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:12 Iteration 00030300, loss   0.0276, accuracy 98.93, exact match 86.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:13 Iteration 00030400, loss   0.0329, accuracy 98.76, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:13 Iteration 00030500, loss   0.0347, accuracy 98.77, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:14 Iteration 00030600, loss   0.0272, accuracy 98.85, exact match 87.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:15 Iteration 00030700, loss   0.0438, accuracy 98.31, exact match 78.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:15 Iteration 00030800, loss   0.0280, accuracy 98.99, exact match 87.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:16 Iteration 00030900, loss   0.0347, accuracy 98.74, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:16 Iteration 00031000, loss   0.0317, accuracy 98.67, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:16 Evaluating..
2020-01-27 21:18 Predicted for 2001 examples.
2020-01-27 21:18 Done predicting in 96.08594846725464 seconds.
2020-01-27 21:18   Evaluation Accuracy: 94.21 Exact Match: 85.60  Target Accuracy:  0.00
2020-01-27 21:19 Iteration 00031100, loss   0.0385, accuracy 98.60, exact match 82.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:19 Iteration 00031200, loss   0.0388, accuracy 98.44, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:20 Iteration 00031300, loss   0.0262, accuracy 99.16, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:21 Iteration 00031400, loss   0.0281, accuracy 98.95, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:21 Iteration 00031500, loss   0.0374, accuracy 98.67, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:22 Iteration 00031600, loss   0.0285, accuracy 98.97, exact match 85.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:22 Iteration 00031700, loss   0.0240, accuracy 99.18, exact match 88.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:23 Iteration 00031800, loss   0.0371, accuracy 98.64, exact match 82.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:24 Iteration 00031900, loss   0.0255, accuracy 98.81, exact match 84.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-27 21:24 Iteration 00032000, loss   0.0223, accuracy 99.09, exact match 87.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:24 Evaluating..
2020-01-27 21:26 Predicted for 2001 examples.
2020-01-27 21:26 Done predicting in 95.02078700065613 seconds.
2020-01-27 21:26   Evaluation Accuracy: 94.06 Exact Match: 84.85  Target Accuracy:  0.00
2020-01-27 21:27 Iteration 00032100, loss   0.0291, accuracy 99.15, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:27 Iteration 00032200, loss   0.0403, accuracy 98.47, exact match 83.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:28 Iteration 00032300, loss   0.0314, accuracy 98.99, exact match 88.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:29 Iteration 00032400, loss   0.0291, accuracy 98.74, exact match 84.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:29 Iteration 00032500, loss   0.0229, accuracy 99.08, exact match 86.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:30 Iteration 00032600, loss   0.0407, accuracy 98.36, exact match 84.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:30 Iteration 00032700, loss   0.0244, accuracy 98.91, exact match 87.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:31 Iteration 00032800, loss   0.0367, accuracy 98.63, exact match 83.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:32 Iteration 00032900, loss   0.0266, accuracy 98.91, exact match 86.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:32 Iteration 00033000, loss   0.0244, accuracy 98.96, exact match 87.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:32 Evaluating..
2020-01-27 21:34 Predicted for 2001 examples.
2020-01-27 21:34 Done predicting in 94.91633439064026 seconds.
2020-01-27 21:34   Evaluation Accuracy: 94.24 Exact Match: 84.90  Target Accuracy:  0.00
2020-01-27 21:35 Iteration 00033100, loss   0.0300, accuracy 98.81, exact match 85.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:35 Iteration 00033200, loss   0.0243, accuracy 99.20, exact match 89.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:36 Iteration 00033300, loss   0.0309, accuracy 98.77, exact match 83.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:36 Iteration 00033400, loss   0.0303, accuracy 98.79, exact match 84.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:37 Iteration 00033500, loss   0.0246, accuracy 99.02, exact match 88.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:38 Iteration 00033600, loss   0.0363, accuracy 98.81, exact match 83.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:38 Iteration 00033700, loss   0.0307, accuracy 98.81, exact match 84.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:39 Iteration 00033800, loss   0.0326, accuracy 98.86, exact match 84.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:40 Iteration 00033900, loss   0.0275, accuracy 99.00, exact match 86.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:40 Iteration 00034000, loss   0.0406, accuracy 98.54, exact match 83.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:40 Evaluating..
2020-01-27 21:42 Predicted for 2001 examples.
2020-01-27 21:42 Done predicting in 95.71334338188171 seconds.
2020-01-27 21:42   Evaluation Accuracy: 94.73 Exact Match: 86.80  Target Accuracy:  0.00
2020-01-27 21:42 Iteration 00034100, loss   0.0297, accuracy 98.89, exact match 85.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:43 Iteration 00034200, loss   0.0290, accuracy 98.96, exact match 85.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-27 21:44 Iteration 00034300, loss   0.0230, accuracy 99.12, exact match 88.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:44 Iteration 00034400, loss   0.0345, accuracy 98.68, exact match 81.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:45 Iteration 00034500, loss   0.0220, accuracy 99.17, exact match 88.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:46 Iteration 00034600, loss   0.0211, accuracy 99.16, exact match 89.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:46 Iteration 00034700, loss   0.0287, accuracy 98.72, exact match 83.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:47 Iteration 00034800, loss   0.0205, accuracy 99.16, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:48 Iteration 00034900, loss   0.0308, accuracy 99.07, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:48 Iteration 00035000, loss   0.0292, accuracy 98.92, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:48 Evaluating..
2020-01-27 21:50 Predicted for 2001 examples.
2020-01-27 21:50 Done predicting in 95.54806447029114 seconds.
2020-01-27 21:50   Evaluation Accuracy: 94.22 Exact Match: 85.05  Target Accuracy:  0.00
2020-01-27 21:50 Iteration 00035100, loss   0.0254, accuracy 99.08, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:51 Iteration 00035200, loss   0.0305, accuracy 98.82, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:52 Iteration 00035300, loss   0.0226, accuracy 99.19, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:52 Iteration 00035400, loss   0.0283, accuracy 98.99, exact match 87.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:53 Iteration 00035500, loss   0.0288, accuracy 98.85, exact match 85.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:54 Iteration 00035600, loss   0.0328, accuracy 98.74, exact match 83.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:54 Iteration 00035700, loss   0.0385, accuracy 98.82, exact match 83.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:55 Iteration 00035800, loss   0.0259, accuracy 99.00, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:55 Iteration 00035900, loss   0.0351, accuracy 98.72, exact match 84.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:56 Iteration 00036000, loss   0.0220, accuracy 99.25, exact match 90.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:56 Evaluating..
2020-01-27 21:58 Predicted for 2001 examples.
2020-01-27 21:58 Done predicting in 95.78918313980103 seconds.
2020-01-27 21:58   Evaluation Accuracy: 94.26 Exact Match: 85.90  Target Accuracy:  0.00
2020-01-27 21:58 Iteration 00036100, loss   0.0256, accuracy 99.06, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 21:59 Iteration 00036200, loss   0.0240, accuracy 99.12, exact match 87.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 22:00 Iteration 00036300, loss   0.0301, accuracy 99.06, exact match 86.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 22:00 Iteration 00036400, loss   0.0396, accuracy 98.34, exact match 82.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 22:01 Iteration 00036500, loss   0.0224, accuracy 99.16, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-27 22:02 Iteration 00036600, loss   0.0263, accuracy 98.98, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:02 Iteration 00036700, loss   0.0367, accuracy 98.42, exact match 80.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:03 Iteration 00036800, loss   0.0340, accuracy 98.56, exact match 83.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:03 Iteration 00036900, loss   0.0273, accuracy 98.99, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:04 Iteration 00037000, loss   0.0245, accuracy 99.20, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:04 Evaluating..
2020-01-27 22:06 Predicted for 2001 examples.
2020-01-27 22:06 Done predicting in 95.450364112854 seconds.
2020-01-27 22:06   Evaluation Accuracy: 94.36 Exact Match: 86.35  Target Accuracy:  0.00
2020-01-27 22:06 Iteration 00037100, loss   0.0280, accuracy 98.97, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:07 Iteration 00037200, loss   0.0281, accuracy 99.07, exact match 87.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:08 Iteration 00037300, loss   0.0298, accuracy 98.91, exact match 85.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:08 Iteration 00037400, loss   0.0178, accuracy 99.43, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:09 Iteration 00037500, loss   0.0250, accuracy 99.04, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:09 Iteration 00037600, loss   0.0264, accuracy 98.95, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:10 Iteration 00037700, loss   0.0276, accuracy 98.89, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:11 Iteration 00037800, loss   0.0246, accuracy 99.06, exact match 88.72, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:11 Iteration 00037900, loss   0.0230, accuracy 99.23, exact match 90.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:12 Iteration 00038000, loss   0.0290, accuracy 98.81, exact match 85.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:12 Evaluating..
2020-01-27 22:14 Predicted for 2001 examples.
2020-01-27 22:14 Done predicting in 95.77983236312866 seconds.
2020-01-27 22:14   Evaluation Accuracy: 94.89 Exact Match: 87.40  Target Accuracy:  0.00
2020-01-27 22:14 Iteration 00038100, loss   0.0265, accuracy 98.96, exact match 87.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:15 Iteration 00038200, loss   0.0216, accuracy 99.24, exact match 89.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:15 Iteration 00038300, loss   0.0217, accuracy 99.12, exact match 88.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:16 Iteration 00038400, loss   0.0393, accuracy 98.55, exact match 84.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:17 Iteration 00038500, loss   0.0200, accuracy 99.22, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:17 Iteration 00038600, loss   0.0379, accuracy 98.46, exact match 83.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:18 Iteration 00038700, loss   0.0341, accuracy 98.86, exact match 85.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:19 Iteration 00038800, loss   0.0286, accuracy 98.90, exact match 85.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-27 22:19 Iteration 00038900, loss   0.0254, accuracy 99.10, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:20 Iteration 00039000, loss   0.0254, accuracy 99.03, exact match 88.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:20 Evaluating..
2020-01-27 22:21 Predicted for 2001 examples.
2020-01-27 22:21 Done predicting in 95.123037815094 seconds.
2020-01-27 22:21   Evaluation Accuracy: 94.89 Exact Match: 87.10  Target Accuracy:  0.00
2020-01-27 22:22 Iteration 00039100, loss   0.0251, accuracy 98.99, exact match 87.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:23 Iteration 00039200, loss   0.0367, accuracy 98.56, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:23 Iteration 00039300, loss   0.0250, accuracy 99.24, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:24 Iteration 00039400, loss   0.0299, accuracy 98.69, exact match 84.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:25 Iteration 00039500, loss   0.0215, accuracy 99.23, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:25 Iteration 00039600, loss   0.0176, accuracy 99.32, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:26 Iteration 00039700, loss   0.0271, accuracy 98.97, exact match 85.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:26 Iteration 00039800, loss   0.0284, accuracy 98.89, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:27 Iteration 00039900, loss   0.0162, accuracy 99.33, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:28 Iteration 00040000, loss   0.0288, accuracy 98.64, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:28 Evaluating..
2020-01-27 22:29 Predicted for 2001 examples.
2020-01-27 22:29 Done predicting in 95.5952672958374 seconds.
2020-01-27 22:29   Evaluation Accuracy: 94.64 Exact Match: 87.10  Target Accuracy:  0.00
2020-01-27 22:30 Iteration 00040100, loss   0.0301, accuracy 98.66, exact match 81.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:31 Iteration 00040200, loss   0.0298, accuracy 98.75, exact match 83.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:31 Iteration 00040300, loss   0.0226, accuracy 99.29, exact match 91.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:32 Iteration 00040400, loss   0.0362, accuracy 98.62, exact match 84.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:32 Iteration 00040500, loss   0.0360, accuracy 98.66, exact match 83.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:33 Iteration 00040600, loss   0.0320, accuracy 98.86, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:34 Iteration 00040700, loss   0.0259, accuracy 98.92, exact match 87.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:34 Iteration 00040800, loss   0.0247, accuracy 99.05, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:35 Iteration 00040900, loss   0.0214, accuracy 99.10, exact match 87.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:36 Iteration 00041000, loss   0.0419, accuracy 98.58, exact match 84.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:36 Evaluating..
2020-01-27 22:37 Predicted for 2001 examples.
2020-01-27 22:37 Done predicting in 95.00371980667114 seconds.
2020-01-27 22:37   Evaluation Accuracy: 94.61 Exact Match: 86.70  Target Accuracy:  0.00
2020-01-27 22:38 Iteration 00041100, loss   0.0290, accuracy 98.74, exact match 83.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-27 22:38 Iteration 00041200, loss   0.0230, accuracy 98.95, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:39 Iteration 00041300, loss   0.0264, accuracy 98.71, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:40 Iteration 00041400, loss   0.0224, accuracy 99.09, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:40 Iteration 00041500, loss   0.0297, accuracy 98.88, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:41 Iteration 00041600, loss   0.0284, accuracy 99.21, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:42 Iteration 00041700, loss   0.0223, accuracy 99.16, exact match 90.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:42 Iteration 00041800, loss   0.0212, accuracy 99.15, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:43 Iteration 00041900, loss   0.0229, accuracy 99.10, exact match 87.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:43 Iteration 00042000, loss   0.0270, accuracy 99.05, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:43 Evaluating..
2020-01-27 22:45 Predicted for 2001 examples.
2020-01-27 22:45 Done predicting in 95.28063464164734 seconds.
2020-01-27 22:45   Evaluation Accuracy: 94.90 Exact Match: 87.95  Target Accuracy:  0.00
2020-01-27 22:46 Iteration 00042100, loss   0.0187, accuracy 99.22, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:46 Iteration 00042200, loss   0.0191, accuracy 99.16, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:47 Iteration 00042300, loss   0.0283, accuracy 99.07, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:47 Iteration 00042400, loss   0.0245, accuracy 99.10, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:48 Iteration 00042500, loss   0.0354, accuracy 98.60, exact match 83.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:49 Iteration 00042600, loss   0.0326, accuracy 98.70, exact match 86.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:49 Iteration 00042700, loss   0.0227, accuracy 99.18, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:50 Iteration 00042800, loss   0.0269, accuracy 98.98, exact match 87.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:51 Iteration 00042900, loss   0.0255, accuracy 98.90, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:51 Iteration 00043000, loss   0.0325, accuracy 98.95, exact match 87.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:51 Evaluating..
2020-01-27 22:53 Predicted for 2001 examples.
2020-01-27 22:53 Done predicting in 95.19359350204468 seconds.
2020-01-27 22:53   Evaluation Accuracy: 95.10 Exact Match: 88.10  Target Accuracy:  0.00
2020-01-27 22:53 Iteration 00043100, loss   0.0204, accuracy 99.25, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:54 Iteration 00043200, loss   0.0308, accuracy 98.74, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:55 Iteration 00043300, loss   0.0294, accuracy 99.05, exact match 87.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:55 Iteration 00043400, loss   0.0215, accuracy 99.35, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:56 Iteration 00043500, loss   0.0150, accuracy 99.35, exact match 91.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-27 22:57 Iteration 00043600, loss   0.0168, accuracy 99.37, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 22:57 Iteration 00043700, loss   0.0346, accuracy 98.80, exact match 86.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 22:58 Iteration 00043800, loss   0.0244, accuracy 98.93, exact match 87.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 22:58 Iteration 00043900, loss   0.0233, accuracy 99.12, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 22:59 Iteration 00044000, loss   0.0236, accuracy 99.25, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 22:59 Evaluating..
2020-01-27 23:01 Predicted for 2001 examples.
2020-01-27 23:01 Done predicting in 95.10827541351318 seconds.
2020-01-27 23:01   Evaluation Accuracy: 94.78 Exact Match: 87.50  Target Accuracy:  0.00
2020-01-27 23:01 Iteration 00044100, loss   0.0237, accuracy 99.12, exact match 89.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:02 Iteration 00044200, loss   0.0211, accuracy 99.01, exact match 87.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:03 Iteration 00044300, loss   0.0298, accuracy 98.83, exact match 84.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:03 Iteration 00044400, loss   0.0266, accuracy 99.12, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:04 Iteration 00044500, loss   0.0252, accuracy 99.06, exact match 87.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:04 Iteration 00044600, loss   0.0239, accuracy 99.07, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:05 Iteration 00044700, loss   0.0344, accuracy 98.85, exact match 85.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:06 Iteration 00044800, loss   0.0216, accuracy 99.32, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:06 Iteration 00044900, loss   0.0281, accuracy 99.06, exact match 89.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:07 Iteration 00045000, loss   0.0275, accuracy 98.96, exact match 86.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:07 Evaluating..
2020-01-27 23:09 Predicted for 2001 examples.
2020-01-27 23:09 Done predicting in 95.29429054260254 seconds.
2020-01-27 23:09   Evaluation Accuracy: 95.13 Exact Match: 88.10  Target Accuracy:  0.00
2020-01-27 23:09 Iteration 00045100, loss   0.0311, accuracy 98.79, exact match 85.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:10 Iteration 00045200, loss   0.0307, accuracy 98.78, exact match 85.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:10 Iteration 00045300, loss   0.0224, accuracy 99.15, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:11 Iteration 00045400, loss   0.0175, accuracy 99.34, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:12 Iteration 00045500, loss   0.0187, accuracy 99.34, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:12 Iteration 00045600, loss   0.0228, accuracy 98.97, exact match 86.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:13 Iteration 00045700, loss   0.0200, accuracy 99.23, exact match 90.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:14 Iteration 00045800, loss   0.0215, accuracy 99.41, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:14 Iteration 00045900, loss   0.0203, accuracy 99.45, exact match 92.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-27 23:15 Iteration 00046000, loss   0.0202, accuracy 99.43, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:15 Evaluating..
2020-01-27 23:16 Predicted for 2001 examples.
2020-01-27 23:16 Done predicting in 95.27903294563293 seconds.
2020-01-27 23:16   Evaluation Accuracy: 94.74 Exact Match: 87.75  Target Accuracy:  0.00
2020-01-27 23:17 Iteration 00046100, loss   0.0292, accuracy 99.05, exact match 87.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:18 Iteration 00046200, loss   0.0193, accuracy 99.39, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:18 Iteration 00046300, loss   0.0195, accuracy 99.34, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:19 Iteration 00046400, loss   0.0279, accuracy 98.94, exact match 86.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:20 Iteration 00046500, loss   0.0238, accuracy 99.17, exact match 90.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:20 Iteration 00046600, loss   0.0200, accuracy 99.34, exact match 92.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:21 Iteration 00046700, loss   0.0224, accuracy 99.15, exact match 88.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:21 Iteration 00046800, loss   0.0257, accuracy 99.33, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:22 Iteration 00046900, loss   0.0243, accuracy 99.13, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:23 Iteration 00047000, loss   0.0287, accuracy 98.90, exact match 87.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:23 Evaluating..
2020-01-27 23:24 Predicted for 2001 examples.
2020-01-27 23:24 Done predicting in 94.8019630908966 seconds.
2020-01-27 23:24   Evaluation Accuracy: 95.16 Exact Match: 87.95  Target Accuracy:  0.00
2020-01-27 23:25 Iteration 00047100, loss   0.0304, accuracy 98.90, exact match 87.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:26 Iteration 00047200, loss   0.0265, accuracy 98.98, exact match 90.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:26 Iteration 00047300, loss   0.0226, accuracy 99.06, exact match 89.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:27 Iteration 00047400, loss   0.0256, accuracy 98.90, exact match 86.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:27 Iteration 00047500, loss   0.0222, accuracy 99.12, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:28 Iteration 00047600, loss   0.0276, accuracy 98.99, exact match 87.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:29 Iteration 00047700, loss   0.0230, accuracy 99.10, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:29 Iteration 00047800, loss   0.0234, accuracy 99.14, exact match 89.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:30 Iteration 00047900, loss   0.0214, accuracy 99.29, exact match 90.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:31 Iteration 00048000, loss   0.0323, accuracy 99.05, exact match 88.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:31 Evaluating..
2020-01-27 23:32 Predicted for 2001 examples.
2020-01-27 23:32 Done predicting in 96.41265940666199 seconds.
2020-01-27 23:32   Evaluation Accuracy: 95.21 Exact Match: 88.50  Target Accuracy:  0.00
2020-01-27 23:33 Iteration 00048100, loss   0.0189, accuracy 99.36, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:33 Iteration 00048200, loss   0.0296, accuracy 98.90, exact match 86.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:34 Iteration 00048300, loss   0.0165, accuracy 99.36, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-27 23:35 Iteration 00048400, loss   0.0234, accuracy 99.04, exact match 86.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:35 Iteration 00048500, loss   0.0198, accuracy 99.13, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:36 Iteration 00048600, loss   0.0195, accuracy 99.26, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:37 Iteration 00048700, loss   0.0214, accuracy 99.23, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:37 Iteration 00048800, loss   0.0210, accuracy 99.34, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:38 Iteration 00048900, loss   0.0239, accuracy 99.10, exact match 87.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:38 Iteration 00049000, loss   0.0254, accuracy 99.33, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:38 Evaluating..
2020-01-27 23:40 Predicted for 2001 examples.
2020-01-27 23:40 Done predicting in 94.39641165733337 seconds.
2020-01-27 23:40   Evaluation Accuracy: 95.10 Exact Match: 89.00  Target Accuracy:  0.00
2020-01-27 23:41 Iteration 00049100, loss   0.0307, accuracy 98.71, exact match 85.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:41 Iteration 00049200, loss   0.0210, accuracy 99.09, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:42 Iteration 00049300, loss   0.0182, accuracy 99.32, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:42 Iteration 00049400, loss   0.0243, accuracy 99.01, exact match 86.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:43 Iteration 00049500, loss   0.0211, accuracy 99.17, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:44 Iteration 00049600, loss   0.0218, accuracy 99.15, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:44 Iteration 00049700, loss   0.0273, accuracy 99.04, exact match 86.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:45 Iteration 00049800, loss   0.0309, accuracy 99.16, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:46 Iteration 00049900, loss   0.0206, accuracy 99.05, exact match 87.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:46 Iteration 00050000, loss   0.0218, accuracy 99.08, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:46 Evaluating..
2020-01-27 23:48 Predicted for 2001 examples.
2020-01-27 23:48 Done predicting in 95.19297099113464 seconds.
2020-01-27 23:48   Evaluation Accuracy: 95.24 Exact Match: 89.05  Target Accuracy:  0.00
2020-01-27 23:48 Iteration 00050100, loss   0.0313, accuracy 98.97, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:49 Iteration 00050200, loss   0.0170, accuracy 99.21, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:50 Iteration 00050300, loss   0.0241, accuracy 99.18, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:50 Iteration 00050400, loss   0.0136, accuracy 99.43, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:51 Iteration 00050500, loss   0.0285, accuracy 99.12, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:52 Iteration 00050600, loss   0.0185, accuracy 99.37, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:52 Iteration 00050700, loss   0.0200, accuracy 99.32, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:53 Iteration 00050800, loss   0.0175, accuracy 99.47, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-27 23:53 Iteration 00050900, loss   0.0290, accuracy 99.00, exact match 86.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:54 Iteration 00051000, loss   0.0312, accuracy 98.91, exact match 85.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:54 Evaluating..
2020-01-27 23:56 Predicted for 2001 examples.
2020-01-27 23:56 Done predicting in 94.96012997627258 seconds.
2020-01-27 23:56   Evaluation Accuracy: 94.96 Exact Match: 88.30  Target Accuracy:  0.00
2020-01-27 23:56 Iteration 00051100, loss   0.0158, accuracy 99.42, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:57 Iteration 00051200, loss   0.0216, accuracy 99.09, exact match 89.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:58 Iteration 00051300, loss   0.0222, accuracy 99.26, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:58 Iteration 00051400, loss   0.0252, accuracy 99.17, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:59 Iteration 00051500, loss   0.0223, accuracy 99.12, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-27 23:59 Iteration 00051600, loss   0.0178, accuracy 99.16, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:00 Iteration 00051700, loss   0.0158, accuracy 99.21, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:01 Iteration 00051800, loss   0.0199, accuracy 99.13, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:01 Iteration 00051900, loss   0.0276, accuracy 99.02, exact match 87.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:02 Iteration 00052000, loss   0.0265, accuracy 99.15, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:02 Evaluating..
2020-01-28 00:03 Predicted for 2001 examples.
2020-01-28 00:03 Done predicting in 95.0738730430603 seconds.
2020-01-28 00:03   Evaluation Accuracy: 95.38 Exact Match: 89.35  Target Accuracy:  0.00
2020-01-28 00:04 Iteration 00052100, loss   0.0443, accuracy 98.58, exact match 83.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:05 Iteration 00052200, loss   0.0190, accuracy 99.14, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:05 Iteration 00052300, loss   0.0279, accuracy 98.97, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:06 Iteration 00052400, loss   0.0246, accuracy 99.07, exact match 87.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:07 Iteration 00052500, loss   0.0142, accuracy 99.41, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:07 Iteration 00052600, loss   0.0250, accuracy 99.01, exact match 85.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:08 Iteration 00052700, loss   0.0266, accuracy 99.11, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:08 Iteration 00052800, loss   0.0148, accuracy 99.26, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:09 Iteration 00052900, loss   0.0180, accuracy 99.52, exact match 94.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:10 Iteration 00053000, loss   0.0204, accuracy 99.22, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:10 Evaluating..
2020-01-28 00:11 Predicted for 2001 examples.
2020-01-28 00:11 Done predicting in 95.09249877929688 seconds.
2020-01-28 00:11   Evaluation Accuracy: 95.08 Exact Match: 88.45  Target Accuracy:  0.00
2020-01-28 00:12 Iteration 00053100, loss   0.0233, accuracy 99.14, exact match 89.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:13 Iteration 00053200, loss   0.0158, accuracy 99.48, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:13 Iteration 00053300, loss   0.0185, accuracy 99.41, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-28 00:14 Iteration 00053400, loss   0.0247, accuracy 99.11, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:14 Iteration 00053500, loss   0.0263, accuracy 99.08, exact match 86.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:15 Iteration 00053600, loss   0.0295, accuracy 98.63, exact match 84.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:16 Iteration 00053700, loss   0.0256, accuracy 99.03, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:16 Iteration 00053800, loss   0.0147, accuracy 99.47, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:17 Iteration 00053900, loss   0.0169, accuracy 99.43, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:18 Iteration 00054000, loss   0.0231, accuracy 99.01, exact match 87.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:18 Evaluating..
2020-01-28 00:19 Predicted for 2001 examples.
2020-01-28 00:19 Done predicting in 94.80768990516663 seconds.
2020-01-28 00:19   Evaluation Accuracy: 95.40 Exact Match: 89.65  Target Accuracy:  0.00
2020-01-28 00:20 Iteration 00054100, loss   0.0331, accuracy 98.73, exact match 84.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:20 Iteration 00054200, loss   0.0192, accuracy 99.28, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:21 Iteration 00054300, loss   0.0243, accuracy 99.03, exact match 87.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:22 Iteration 00054400, loss   0.0209, accuracy 99.14, exact match 89.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:22 Iteration 00054500, loss   0.0168, accuracy 99.41, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:23 Iteration 00054600, loss   0.0219, accuracy 99.23, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:24 Iteration 00054700, loss   0.0151, accuracy 99.38, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:24 Iteration 00054800, loss   0.0260, accuracy 99.10, exact match 88.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:25 Iteration 00054900, loss   0.0211, accuracy 99.02, exact match 88.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:25 Iteration 00055000, loss   0.0265, accuracy 98.97, exact match 86.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:25 Evaluating..
2020-01-28 00:27 Predicted for 2001 examples.
2020-01-28 00:27 Done predicting in 95.05369591712952 seconds.
2020-01-28 00:27   Evaluation Accuracy: 94.35 Exact Match: 87.50  Target Accuracy:  0.00
2020-01-28 00:28 Iteration 00055100, loss   0.0183, accuracy 99.31, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:28 Iteration 00055200, loss   0.0167, accuracy 99.47, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:29 Iteration 00055300, loss   0.0183, accuracy 99.25, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:30 Iteration 00055400, loss   0.0211, accuracy 99.15, exact match 88.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:30 Iteration 00055500, loss   0.0239, accuracy 99.09, exact match 89.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:31 Iteration 00055600, loss   0.0163, accuracy 99.37, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:31 Iteration 00055700, loss   0.0197, accuracy 99.24, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:32 Iteration 00055800, loss   0.0179, accuracy 99.20, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-28 00:33 Iteration 00055900, loss   0.0253, accuracy 98.98, exact match 86.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:33 Iteration 00056000, loss   0.0164, accuracy 99.47, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:33 Evaluating..
2020-01-28 00:35 Predicted for 2001 examples.
2020-01-28 00:35 Done predicting in 95.0013496875763 seconds.
2020-01-28 00:35   Evaluation Accuracy: 95.80 Exact Match: 89.65  Target Accuracy:  0.00
2020-01-28 00:36 Iteration 00056100, loss   0.0250, accuracy 99.19, exact match 89.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:36 Iteration 00056200, loss   0.0171, accuracy 99.33, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:37 Iteration 00056300, loss   0.0251, accuracy 98.93, exact match 86.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:37 Iteration 00056400, loss   0.0416, accuracy 98.77, exact match 86.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:38 Iteration 00056500, loss   0.0220, accuracy 99.14, exact match 88.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:39 Iteration 00056600, loss   0.0268, accuracy 99.08, exact match 88.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:39 Iteration 00056700, loss   0.0147, accuracy 99.37, exact match 90.98, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:40 Iteration 00056800, loss   0.0224, accuracy 99.25, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:41 Iteration 00056900, loss   0.0199, accuracy 99.34, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:41 Iteration 00057000, loss   0.0209, accuracy 99.16, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:41 Evaluating..
2020-01-28 00:43 Predicted for 2001 examples.
2020-01-28 00:43 Done predicting in 95.09973382949829 seconds.
2020-01-28 00:43   Evaluation Accuracy: 95.69 Exact Match: 89.85  Target Accuracy:  0.00
2020-01-28 00:43 Iteration 00057100, loss   0.0232, accuracy 99.15, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:44 Iteration 00057200, loss   0.0151, accuracy 99.35, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:45 Iteration 00057300, loss   0.0223, accuracy 99.11, exact match 88.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:45 Iteration 00057400, loss   0.0167, accuracy 99.42, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:46 Iteration 00057500, loss   0.0172, accuracy 99.46, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:47 Iteration 00057600, loss   0.0145, accuracy 99.50, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:47 Iteration 00057700, loss   0.0162, accuracy 99.37, exact match 90.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:48 Iteration 00057800, loss   0.0167, accuracy 99.36, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:48 Iteration 00057900, loss   0.0208, accuracy 99.14, exact match 89.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:49 Iteration 00058000, loss   0.0197, accuracy 99.32, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:49 Evaluating..
2020-01-28 00:51 Predicted for 2001 examples.
2020-01-28 00:51 Done predicting in 95.21159791946411 seconds.
2020-01-28 00:51   Evaluation Accuracy: 95.31 Exact Match: 89.05  Target Accuracy:  0.00
2020-01-28 00:51 Iteration 00058100, loss   0.0281, accuracy 99.04, exact match 87.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:52 Iteration 00058200, loss   0.0214, accuracy 99.15, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:52 Iteration 00058300, loss   0.0178, accuracy 99.21, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:53 Iteration 00058400, loss   0.0254, accuracy 98.93, exact match 87.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-28 00:54 Iteration 00058500, loss   0.0130, accuracy 99.47, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:54 Iteration 00058600, loss   0.0180, accuracy 99.40, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:55 Iteration 00058700, loss   0.0191, accuracy 99.19, exact match 89.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:56 Iteration 00058800, loss   0.0184, accuracy 99.39, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:56 Iteration 00058900, loss   0.0232, accuracy 99.10, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:57 Iteration 00059000, loss   0.0196, accuracy 99.17, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 00:57 Evaluating..
2020-01-28 00:58 Predicted for 2001 examples.
2020-01-28 00:58 Done predicting in 95.33484816551208 seconds.
2020-01-28 00:58   Evaluation Accuracy: 95.05 Exact Match: 89.35  Target Accuracy:  0.00
2020-01-28 00:59 Iteration 00059100, loss   0.0213, accuracy 99.22, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:00 Iteration 00059200, loss   0.0207, accuracy 99.28, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:00 Iteration 00059300, loss   0.0245, accuracy 99.02, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:01 Iteration 00059400, loss   0.0194, accuracy 99.40, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:02 Iteration 00059500, loss   0.0213, accuracy 99.21, exact match 88.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:02 Iteration 00059600, loss   0.0309, accuracy 98.84, exact match 86.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:03 Iteration 00059700, loss   0.0192, accuracy 99.25, exact match 89.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:03 Iteration 00059800, loss   0.0176, accuracy 99.40, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:04 Iteration 00059900, loss   0.0134, accuracy 99.44, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:05 Iteration 00060000, loss   0.0343, accuracy 99.13, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:05 Evaluating..
2020-01-28 01:06 Predicted for 2001 examples.
2020-01-28 01:06 Done predicting in 95.86736798286438 seconds.
2020-01-28 01:06   Evaluation Accuracy: 95.02 Exact Match: 88.95  Target Accuracy:  0.00
2020-01-28 01:07 Iteration 00060100, loss   0.0254, accuracy 99.19, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:08 Iteration 00060200, loss   0.0254, accuracy 98.83, exact match 84.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:08 Iteration 00060300, loss   0.0174, accuracy 99.43, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:09 Iteration 00060400, loss   0.0140, accuracy 99.49, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:09 Iteration 00060500, loss   0.0229, accuracy 99.37, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:10 Iteration 00060600, loss   0.0162, accuracy 99.21, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:11 Iteration 00060700, loss   0.0206, accuracy 99.11, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:11 Iteration 00060800, loss   0.0231, accuracy 99.21, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:12 Iteration 00060900, loss   0.0199, accuracy 99.38, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:13 Iteration 00061000, loss   0.0197, accuracy 99.26, exact match 90.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-28 01:13 Evaluating..
2020-01-28 01:14 Predicted for 2001 examples.
2020-01-28 01:14 Done predicting in 95.39099955558777 seconds.
2020-01-28 01:14   Evaluation Accuracy: 95.75 Exact Match: 89.80  Target Accuracy:  0.00
2020-01-28 01:15 Iteration 00061100, loss   0.0176, accuracy 99.27, exact match 89.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:15 Iteration 00061200, loss   0.0263, accuracy 99.17, exact match 90.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:16 Iteration 00061300, loss   0.0194, accuracy 99.39, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:17 Iteration 00061400, loss   0.0090, accuracy 99.77, exact match 96.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:17 Iteration 00061500, loss   0.0190, accuracy 99.26, exact match 90.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:18 Iteration 00061600, loss   0.0213, accuracy 99.25, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:19 Iteration 00061700, loss   0.0130, accuracy 99.47, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:19 Iteration 00061800, loss   0.0228, accuracy 99.21, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:20 Iteration 00061900, loss   0.0222, accuracy 99.19, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:20 Iteration 00062000, loss   0.0163, accuracy 99.28, exact match 89.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:20 Evaluating..
2020-01-28 01:22 Predicted for 2001 examples.
2020-01-28 01:22 Done predicting in 95.01377034187317 seconds.
2020-01-28 01:22   Evaluation Accuracy: 95.91 Exact Match: 90.45  Target Accuracy:  0.00
2020-01-28 01:23 Iteration 00062100, loss   0.0150, accuracy 99.39, exact match 92.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:23 Iteration 00062200, loss   0.0256, accuracy 99.23, exact match 90.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:24 Iteration 00062300, loss   0.0265, accuracy 99.01, exact match 88.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:25 Iteration 00062400, loss   0.0192, accuracy 99.17, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:25 Iteration 00062500, loss   0.0224, accuracy 99.30, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:26 Iteration 00062600, loss   0.0184, accuracy 99.29, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:26 Iteration 00062700, loss   0.0192, accuracy 99.41, exact match 92.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:27 Iteration 00062800, loss   0.0121, accuracy 99.58, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:28 Iteration 00062900, loss   0.0197, accuracy 99.18, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:28 Iteration 00063000, loss   0.0204, accuracy 99.26, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:28 Evaluating..
2020-01-28 01:30 Predicted for 2001 examples.
2020-01-28 01:30 Done predicting in 95.44479870796204 seconds.
2020-01-28 01:30   Evaluation Accuracy: 95.81 Exact Match: 90.00  Target Accuracy:  0.00
2020-01-28 01:30 Iteration 00063100, loss   0.0215, accuracy 99.19, exact match 88.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:31 Iteration 00063200, loss   0.0237, accuracy 99.11, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:32 Iteration 00063300, loss   0.0218, accuracy 99.07, exact match 88.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:32 Iteration 00063400, loss   0.0232, accuracy 99.23, exact match 88.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:33 Iteration 00063500, loss   0.0160, accuracy 99.34, exact match 90.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:34 Iteration 00063600, loss   0.0220, accuracy 99.10, exact match 88.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-28 01:34 Iteration 00063700, loss   0.0181, accuracy 99.40, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:35 Iteration 00063800, loss   0.0168, accuracy 99.36, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:35 Iteration 00063900, loss   0.0234, accuracy 99.13, exact match 90.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:36 Iteration 00064000, loss   0.0252, accuracy 98.92, exact match 87.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:36 Evaluating..
2020-01-28 01:38 Predicted for 2001 examples.
2020-01-28 01:38 Done predicting in 94.83230447769165 seconds.
2020-01-28 01:38   Evaluation Accuracy: 95.65 Exact Match: 89.45  Target Accuracy:  0.00
2020-01-28 01:38 Iteration 00064100, loss   0.0179, accuracy 99.16, exact match 90.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:39 Iteration 00064200, loss   0.0199, accuracy 99.29, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:40 Iteration 00064300, loss   0.0195, accuracy 99.17, exact match 88.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:40 Iteration 00064400, loss   0.0186, accuracy 99.27, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:41 Iteration 00064500, loss   0.0199, accuracy 99.35, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:41 Iteration 00064600, loss   0.0178, accuracy 99.27, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:42 Iteration 00064700, loss   0.0119, accuracy 99.57, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:43 Iteration 00064800, loss   0.0208, accuracy 99.10, exact match 88.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:43 Iteration 00064900, loss   0.0173, accuracy 99.51, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:44 Iteration 00065000, loss   0.0244, accuracy 99.02, exact match 88.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:44 Evaluating..
2020-01-28 01:46 Predicted for 2001 examples.
2020-01-28 01:46 Done predicting in 94.96299123764038 seconds.
2020-01-28 01:46   Evaluation Accuracy: 95.34 Exact Match: 89.35  Target Accuracy:  0.00
2020-01-28 01:46 Iteration 00065100, loss   0.0160, accuracy 99.47, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:47 Iteration 00065200, loss   0.0169, accuracy 99.41, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:47 Iteration 00065300, loss   0.0103, accuracy 99.67, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:48 Iteration 00065400, loss   0.0197, accuracy 99.34, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:49 Iteration 00065500, loss   0.0145, accuracy 99.45, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:49 Iteration 00065600, loss   0.0159, accuracy 99.32, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:50 Iteration 00065700, loss   0.0230, accuracy 99.25, exact match 90.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:51 Iteration 00065800, loss   0.0200, accuracy 99.34, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:51 Iteration 00065900, loss   0.0176, accuracy 99.27, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:52 Iteration 00066000, loss   0.0198, accuracy 99.25, exact match 89.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:52 Evaluating..
2020-01-28 01:53 Predicted for 2001 examples.
2020-01-28 01:53 Done predicting in 95.39663863182068 seconds.
2020-01-28 01:53   Evaluation Accuracy: 95.67 Exact Match: 89.70  Target Accuracy:  0.00
2020-01-28 01:54 Iteration 00066100, loss   0.0148, accuracy 99.50, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:55 Iteration 00066200, loss   0.0160, accuracy 99.43, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:55 Iteration 00066300, loss   0.0149, accuracy 99.41, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-28 01:56 Iteration 00066400, loss   0.0150, accuracy 99.38, exact match 91.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 01:57 Iteration 00066500, loss   0.0273, accuracy 99.12, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 01:57 Iteration 00066600, loss   0.0136, accuracy 99.39, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 01:58 Iteration 00066700, loss   0.0199, accuracy 99.34, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 01:58 Iteration 00066800, loss   0.0217, accuracy 99.26, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 01:59 Iteration 00066900, loss   0.0167, accuracy 99.29, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:00 Iteration 00067000, loss   0.0180, accuracy 99.32, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:00 Evaluating..
2020-01-28 02:01 Predicted for 2001 examples.
2020-01-28 02:01 Done predicting in 95.17270064353943 seconds.
2020-01-28 02:01   Evaluation Accuracy: 95.28 Exact Match: 89.55  Target Accuracy:  0.00
2020-01-28 02:02 Iteration 00067100, loss   0.0197, accuracy 99.28, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:02 Iteration 00067200, loss   0.0233, accuracy 99.06, exact match 87.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:03 Iteration 00067300, loss   0.0191, accuracy 99.28, exact match 91.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:04 Iteration 00067400, loss   0.0183, accuracy 99.39, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:04 Iteration 00067500, loss   0.0139, accuracy 99.45, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:05 Iteration 00067600, loss   0.0181, accuracy 99.49, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:06 Iteration 00067700, loss   0.0163, accuracy 99.33, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:06 Iteration 00067800, loss   0.0193, accuracy 99.27, exact match 90.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:07 Iteration 00067900, loss   0.0133, accuracy 99.44, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:08 Iteration 00068000, loss   0.0324, accuracy 98.88, exact match 87.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:08 Evaluating..
2020-01-28 02:09 Predicted for 2001 examples.
2020-01-28 02:09 Done predicting in 95.58024263381958 seconds.
2020-01-28 02:09   Evaluation Accuracy: 95.22 Exact Match: 88.85  Target Accuracy:  0.00
2020-01-28 02:10 Iteration 00068100, loss   0.0225, accuracy 99.16, exact match 90.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:10 Iteration 00068200, loss   0.0174, accuracy 99.43, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:11 Iteration 00068300, loss   0.0197, accuracy 99.20, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:12 Iteration 00068400, loss   0.0265, accuracy 99.00, exact match 86.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:12 Iteration 00068500, loss   0.0200, accuracy 99.19, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:13 Iteration 00068600, loss   0.0263, accuracy 99.32, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:13 Iteration 00068700, loss   0.0210, accuracy 99.31, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:14 Iteration 00068800, loss   0.0203, accuracy 99.30, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:15 Iteration 00068900, loss   0.0217, accuracy 99.18, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:15 Iteration 00069000, loss   0.0180, accuracy 99.33, exact match 91.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-28 02:15 Evaluating..
2020-01-28 02:17 Predicted for 2001 examples.
2020-01-28 02:17 Done predicting in 94.85266160964966 seconds.
2020-01-28 02:17   Evaluation Accuracy: 95.49 Exact Match: 89.80  Target Accuracy:  0.00
2020-01-28 02:18 Iteration 00069100, loss   0.0114, accuracy 99.58, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:18 Iteration 00069200, loss   0.0233, accuracy 99.10, exact match 90.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:19 Iteration 00069300, loss   0.0231, accuracy 99.14, exact match 88.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:19 Iteration 00069400, loss   0.0206, accuracy 99.32, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:20 Iteration 00069500, loss   0.0151, accuracy 99.35, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:21 Iteration 00069600, loss   0.0095, accuracy 99.65, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:21 Iteration 00069700, loss   0.0187, accuracy 99.27, exact match 91.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:22 Iteration 00069800, loss   0.0148, accuracy 99.49, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:23 Iteration 00069900, loss   0.0301, accuracy 98.95, exact match 87.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:23 Iteration 00070000, loss   0.0131, accuracy 99.53, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:23 Evaluating..
2020-01-28 02:25 Predicted for 2001 examples.
2020-01-28 02:25 Done predicting in 95.10709428787231 seconds.
2020-01-28 02:25   Evaluation Accuracy: 95.82 Exact Match: 90.20  Target Accuracy:  0.00
2020-01-28 02:25 Iteration 00070100, loss   0.0251, accuracy 99.07, exact match 87.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:26 Iteration 00070200, loss   0.0175, accuracy 99.34, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:27 Iteration 00070300, loss   0.0170, accuracy 99.24, exact match 89.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:27 Iteration 00070400, loss   0.0115, accuracy 99.57, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:28 Iteration 00070500, loss   0.0225, accuracy 99.19, exact match 89.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:29 Iteration 00070600, loss   0.0175, accuracy 99.44, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:29 Iteration 00070700, loss   0.0128, accuracy 99.45, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:30 Iteration 00070800, loss   0.0204, accuracy 99.12, exact match 88.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:30 Iteration 00070900, loss   0.0137, accuracy 99.45, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:31 Iteration 00071000, loss   0.0165, accuracy 99.45, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:31 Evaluating..
2020-01-28 02:33 Predicted for 2001 examples.
2020-01-28 02:33 Done predicting in 95.34892082214355 seconds.
2020-01-28 02:33   Evaluation Accuracy: 95.42 Exact Match: 89.50  Target Accuracy:  0.00
2020-01-28 02:33 Iteration 00071100, loss   0.0185, accuracy 99.28, exact match 91.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:34 Iteration 00071200, loss   0.0225, accuracy 99.09, exact match 88.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:35 Iteration 00071300, loss   0.0205, accuracy 99.21, exact match 91.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:35 Iteration 00071400, loss   0.0189, accuracy 99.35, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:36 Iteration 00071500, loss   0.0120, accuracy 99.44, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:36 Iteration 00071600, loss   0.0130, accuracy 99.54, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:37 Iteration 00071700, loss   0.0215, accuracy 99.28, exact match 89.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:38 Iteration 00071800, loss   0.0164, accuracy 99.43, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-28 02:38 Iteration 00071900, loss   0.0114, accuracy 99.56, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:39 Iteration 00072000, loss   0.0178, accuracy 99.30, exact match 90.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:39 Evaluating..
2020-01-28 02:40 Predicted for 2001 examples.
2020-01-28 02:40 Done predicting in 95.20439910888672 seconds.
2020-01-28 02:40   Evaluation Accuracy: 95.66 Exact Match: 90.05  Target Accuracy:  0.00
2020-01-28 02:41 Iteration 00072100, loss   0.0160, accuracy 99.31, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:42 Iteration 00072200, loss   0.0187, accuracy 99.33, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:42 Iteration 00072300, loss   0.0187, accuracy 99.28, exact match 89.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:43 Iteration 00072400, loss   0.0152, accuracy 99.52, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:44 Iteration 00072500, loss   0.0218, accuracy 99.23, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:44 Iteration 00072600, loss   0.0153, accuracy 99.31, exact match 90.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:45 Iteration 00072700, loss   0.0183, accuracy 99.47, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:45 Iteration 00072800, loss   0.0163, accuracy 99.24, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:46 Iteration 00072900, loss   0.0119, accuracy 99.37, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:47 Iteration 00073000, loss   0.0149, accuracy 99.38, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:47 Evaluating..
2020-01-28 02:48 Predicted for 2001 examples.
2020-01-28 02:48 Done predicting in 94.9251959323883 seconds.
2020-01-28 02:48   Evaluation Accuracy: 95.84 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 02:49 Iteration 00073100, loss   0.0153, accuracy 99.41, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:50 Iteration 00073200, loss   0.0223, accuracy 99.11, exact match 88.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:50 Iteration 00073300, loss   0.0162, accuracy 99.48, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:51 Iteration 00073400, loss   0.0173, accuracy 99.32, exact match 91.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:51 Iteration 00073500, loss   0.0149, accuracy 99.48, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:52 Iteration 00073600, loss   0.0186, accuracy 99.38, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:53 Iteration 00073700, loss   0.0185, accuracy 99.26, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:53 Iteration 00073800, loss   0.0148, accuracy 99.55, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:54 Iteration 00073900, loss   0.0157, accuracy 99.38, exact match 91.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:55 Iteration 00074000, loss   0.0189, accuracy 99.23, exact match 89.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:55 Evaluating..
2020-01-28 02:56 Predicted for 2001 examples.
2020-01-28 02:56 Done predicting in 95.24678230285645 seconds.
2020-01-28 02:56   Evaluation Accuracy: 95.66 Exact Match: 89.80  Target Accuracy:  0.00
2020-01-28 02:57 Iteration 00074100, loss   0.0137, accuracy 99.31, exact match 91.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:57 Iteration 00074200, loss   0.0204, accuracy 99.30, exact match 90.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:58 Iteration 00074300, loss   0.0134, accuracy 99.51, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:59 Iteration 00074400, loss   0.0136, accuracy 99.51, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 02:59 Iteration 00074500, loss   0.0280, accuracy 99.18, exact match 90.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 03:00 Iteration 00074600, loss   0.0199, accuracy 99.20, exact match 88.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-28 03:01 Iteration 00074700, loss   0.0216, accuracy 99.14, exact match 88.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:01 Iteration 00074800, loss   0.0106, accuracy 99.59, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:02 Iteration 00074900, loss   0.0149, accuracy 99.51, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:02 Iteration 00075000, loss   0.0157, accuracy 99.45, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:02 Evaluating..
2020-01-28 03:04 Predicted for 2001 examples.
2020-01-28 03:04 Done predicting in 94.91765236854553 seconds.
2020-01-28 03:04   Evaluation Accuracy: 95.87 Exact Match: 90.20  Target Accuracy:  0.00
2020-01-28 03:05 Iteration 00075100, loss   0.0122, accuracy 99.51, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:05 Iteration 00075200, loss   0.0231, accuracy 99.30, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:06 Iteration 00075300, loss   0.0166, accuracy 99.41, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:07 Iteration 00075400, loss   0.0181, accuracy 99.38, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:07 Iteration 00075500, loss   0.0225, accuracy 99.27, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:08 Iteration 00075600, loss   0.0166, accuracy 99.14, exact match 88.72, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:08 Iteration 00075700, loss   0.0193, accuracy 99.49, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:09 Iteration 00075800, loss   0.0156, accuracy 99.43, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:10 Iteration 00075900, loss   0.0185, accuracy 99.33, exact match 90.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:10 Iteration 00076000, loss   0.0202, accuracy 99.41, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:10 Evaluating..
2020-01-28 03:12 Predicted for 2001 examples.
2020-01-28 03:12 Done predicting in 95.41485643386841 seconds.
2020-01-28 03:12   Evaluation Accuracy: 95.38 Exact Match: 89.45  Target Accuracy:  0.00
2020-01-28 03:13 Iteration 00076100, loss   0.0114, accuracy 99.65, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:13 Iteration 00076200, loss   0.0181, accuracy 99.37, exact match 91.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:14 Iteration 00076300, loss   0.0195, accuracy 99.20, exact match 90.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:14 Iteration 00076400, loss   0.0189, accuracy 99.44, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:15 Iteration 00076500, loss   0.0126, accuracy 99.46, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:16 Iteration 00076600, loss   0.0178, accuracy 99.34, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:16 Iteration 00076700, loss   0.0172, accuracy 99.45, exact match 91.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:17 Iteration 00076800, loss   0.0206, accuracy 99.19, exact match 90.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:18 Iteration 00076900, loss   0.0191, accuracy 99.43, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:18 Iteration 00077000, loss   0.0235, accuracy 99.36, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:18 Evaluating..
2020-01-28 03:20 Predicted for 2001 examples.
2020-01-28 03:20 Done predicting in 95.99299216270447 seconds.
2020-01-28 03:20   Evaluation Accuracy: 95.26 Exact Match: 89.35  Target Accuracy:  0.00
2020-01-28 03:21 Iteration 00077100, loss   0.0132, accuracy 99.57, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:21 Iteration 00077200, loss   0.0154, accuracy 99.54, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:22 Iteration 00077300, loss   0.0187, accuracy 99.34, exact match 91.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:22 Iteration 00077400, loss   0.0212, accuracy 99.40, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-28 03:23 Iteration 00077500, loss   0.0230, accuracy 99.16, exact match 88.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:24 Iteration 00077600, loss   0.0108, accuracy 99.62, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:24 Iteration 00077700, loss   0.0200, accuracy 99.49, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:25 Iteration 00077800, loss   0.0182, accuracy 99.38, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:26 Iteration 00077900, loss   0.0194, accuracy 99.36, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:26 Iteration 00078000, loss   0.0130, accuracy 99.52, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:26 Evaluating..
2020-01-28 03:28 Predicted for 2001 examples.
2020-01-28 03:28 Done predicting in 95.93885684013367 seconds.
2020-01-28 03:28   Evaluation Accuracy: 95.33 Exact Match: 89.95  Target Accuracy:  0.00
2020-01-28 03:29 Iteration 00078100, loss   0.0136, accuracy 99.42, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:29 Iteration 00078200, loss   0.0170, accuracy 99.52, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:30 Iteration 00078300, loss   0.0210, accuracy 99.06, exact match 88.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:30 Iteration 00078400, loss   0.0158, accuracy 99.37, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:31 Iteration 00078500, loss   0.0137, accuracy 99.54, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:32 Iteration 00078600, loss   0.0156, accuracy 99.37, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:32 Iteration 00078700, loss   0.0219, accuracy 99.30, exact match 90.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:33 Iteration 00078800, loss   0.0164, accuracy 99.33, exact match 90.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:34 Iteration 00078900, loss   0.0189, accuracy 99.33, exact match 90.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:34 Iteration 00079000, loss   0.0157, accuracy 99.45, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:34 Evaluating..
2020-01-28 03:36 Predicted for 2001 examples.
2020-01-28 03:36 Done predicting in 95.96345043182373 seconds.
2020-01-28 03:36   Evaluation Accuracy: 95.77 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 03:36 Iteration 00079100, loss   0.0142, accuracy 99.45, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:37 Iteration 00079200, loss   0.0147, accuracy 99.38, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:38 Iteration 00079300, loss   0.0224, accuracy 99.37, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:38 Iteration 00079400, loss   0.0146, accuracy 99.37, exact match 91.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:39 Iteration 00079500, loss   0.0166, accuracy 99.32, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:40 Iteration 00079600, loss   0.0108, accuracy 99.64, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:40 Iteration 00079700, loss   0.0099, accuracy 99.53, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:41 Iteration 00079800, loss   0.0159, accuracy 99.42, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:42 Iteration 00079900, loss   0.0125, accuracy 99.57, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:42 Iteration 00080000, loss   0.0130, accuracy 99.43, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:42 Evaluating..
2020-01-28 03:44 Predicted for 2001 examples.
2020-01-28 03:44 Done predicting in 95.85410976409912 seconds.
2020-01-28 03:44   Evaluation Accuracy: 95.73 Exact Match: 90.20  Target Accuracy:  0.00
2020-01-28 03:44 Iteration 00080100, loss   0.0219, accuracy 99.25, exact match 89.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:45 Iteration 00080200, loss   0.0198, accuracy 99.23, exact match 91.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:46 Iteration 00080300, loss   0.0177, accuracy 99.22, exact match 90.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-28 03:46 Iteration 00080400, loss   0.0182, accuracy 99.45, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:47 Iteration 00080500, loss   0.0166, accuracy 99.35, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:48 Iteration 00080600, loss   0.0204, accuracy 99.28, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:48 Iteration 00080700, loss   0.0121, accuracy 99.48, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:49 Iteration 00080800, loss   0.0155, accuracy 99.33, exact match 90.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:50 Iteration 00080900, loss   0.0237, accuracy 99.16, exact match 88.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:50 Iteration 00081000, loss   0.0140, accuracy 99.35, exact match 90.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:50 Evaluating..
2020-01-28 03:52 Predicted for 2001 examples.
2020-01-28 03:52 Done predicting in 95.77569532394409 seconds.
2020-01-28 03:52   Evaluation Accuracy: 95.29 Exact Match: 89.60  Target Accuracy:  0.00
2020-01-28 03:52 Iteration 00081100, loss   0.0130, accuracy 99.52, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:53 Iteration 00081200, loss   0.0145, accuracy 99.45, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:54 Iteration 00081300, loss   0.0195, accuracy 99.25, exact match 91.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:54 Iteration 00081400, loss   0.0144, accuracy 99.58, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:55 Iteration 00081500, loss   0.0184, accuracy 99.32, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:56 Iteration 00081600, loss   0.0147, accuracy 99.43, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:56 Iteration 00081700, loss   0.0190, accuracy 99.25, exact match 89.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:57 Iteration 00081800, loss   0.0088, accuracy 99.74, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:57 Iteration 00081900, loss   0.0121, accuracy 99.48, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:58 Iteration 00082000, loss   0.0155, accuracy 99.32, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 03:58 Evaluating..
2020-01-28 04:00 Predicted for 2001 examples.
2020-01-28 04:00 Done predicting in 95.28813433647156 seconds.
2020-01-28 04:00   Evaluation Accuracy: 95.95 Exact Match: 90.80  Target Accuracy:  0.00
2020-01-28 04:00 Iteration 00082100, loss   0.0174, accuracy 99.24, exact match 89.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:01 Iteration 00082200, loss   0.0168, accuracy 99.28, exact match 89.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:02 Iteration 00082300, loss   0.0159, accuracy 99.40, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:02 Iteration 00082400, loss   0.0150, accuracy 99.43, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:03 Iteration 00082500, loss   0.0149, accuracy 99.36, exact match 91.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:04 Iteration 00082600, loss   0.0159, accuracy 99.51, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:04 Iteration 00082700, loss   0.0176, accuracy 99.39, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:05 Iteration 00082800, loss   0.0140, accuracy 99.48, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:05 Iteration 00082900, loss   0.0131, accuracy 99.63, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:06 Iteration 00083000, loss   0.0182, accuracy 99.42, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:06 Evaluating..
2020-01-28 04:08 Predicted for 2001 examples.
2020-01-28 04:08 Done predicting in 95.98417115211487 seconds.
2020-01-28 04:08   Evaluation Accuracy: 95.55 Exact Match: 90.40  Target Accuracy:  0.00
2020-01-28 04:08 Iteration 00083100, loss   0.0211, accuracy 99.15, exact match 88.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:09 Iteration 00083200, loss   0.0173, accuracy 99.42, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-28 04:10 Iteration 00083300, loss   0.0182, accuracy 99.17, exact match 90.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:10 Iteration 00083400, loss   0.0134, accuracy 99.52, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:11 Iteration 00083500, loss   0.0175, accuracy 99.29, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:12 Iteration 00083600, loss   0.0191, accuracy 99.39, exact match 91.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:12 Iteration 00083700, loss   0.0246, accuracy 98.98, exact match 88.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:13 Iteration 00083800, loss   0.0102, accuracy 99.68, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:13 Iteration 00083900, loss   0.0268, accuracy 99.18, exact match 90.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:14 Iteration 00084000, loss   0.0123, accuracy 99.65, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:14 Evaluating..
2020-01-28 04:16 Predicted for 2001 examples.
2020-01-28 04:16 Done predicting in 95.49531841278076 seconds.
2020-01-28 04:16   Evaluation Accuracy: 95.86 Exact Match: 90.70  Target Accuracy:  0.00
2020-01-28 04:16 Iteration 00084100, loss   0.0162, accuracy 99.38, exact match 92.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:17 Iteration 00084200, loss   0.0147, accuracy 99.38, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:18 Iteration 00084300, loss   0.0177, accuracy 99.41, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:18 Iteration 00084400, loss   0.0122, accuracy 99.53, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:19 Iteration 00084500, loss   0.0187, accuracy 99.30, exact match 91.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:19 Iteration 00084600, loss   0.0132, accuracy 99.64, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:20 Iteration 00084700, loss   0.0172, accuracy 99.45, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:21 Iteration 00084800, loss   0.0194, accuracy 99.35, exact match 91.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:21 Iteration 00084900, loss   0.0153, accuracy 99.45, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:22 Iteration 00085000, loss   0.0182, accuracy 99.40, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:22 Evaluating..
2020-01-28 04:24 Predicted for 2001 examples.
2020-01-28 04:24 Done predicting in 95.40984749794006 seconds.
2020-01-28 04:24   Evaluation Accuracy: 95.82 Exact Match: 90.55  Target Accuracy:  0.00
2020-01-28 04:24 Iteration 00085100, loss   0.0237, accuracy 99.18, exact match 90.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:25 Iteration 00085200, loss   0.0212, accuracy 99.45, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:26 Iteration 00085300, loss   0.0153, accuracy 99.42, exact match 92.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:26 Iteration 00085400, loss   0.0174, accuracy 99.25, exact match 89.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:27 Iteration 00085500, loss   0.0203, accuracy 99.41, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:27 Iteration 00085600, loss   0.0169, accuracy 99.33, exact match 90.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:28 Iteration 00085700, loss   0.0221, accuracy 99.31, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:29 Iteration 00085800, loss   0.0128, accuracy 99.41, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:29 Iteration 00085900, loss   0.0144, accuracy 99.31, exact match 92.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:30 Iteration 00086000, loss   0.0124, accuracy 99.51, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:30 Evaluating..
2020-01-28 04:32 Predicted for 2001 examples.
2020-01-28 04:32 Done predicting in 95.9531557559967 seconds.
2020-01-28 04:32   Evaluation Accuracy: 95.30 Exact Match: 89.50  Target Accuracy:  0.00
2020-01-28 04:32 Iteration 00086100, loss   0.0160, accuracy 99.39, exact match 91.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:33 Iteration 00086200, loss   0.0092, accuracy 99.64, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-28 04:34 Iteration 00086300, loss   0.0164, accuracy 99.40, exact match 91.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:34 Iteration 00086400, loss   0.0119, accuracy 99.49, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:35 Iteration 00086500, loss   0.0121, accuracy 99.59, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:35 Iteration 00086600, loss   0.0136, accuracy 99.72, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:36 Iteration 00086700, loss   0.0144, accuracy 99.39, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:37 Iteration 00086800, loss   0.0118, accuracy 99.58, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:37 Iteration 00086900, loss   0.0155, accuracy 99.42, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:38 Iteration 00087000, loss   0.0169, accuracy 99.32, exact match 91.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:38 Evaluating..
2020-01-28 04:40 Predicted for 2001 examples.
2020-01-28 04:40 Done predicting in 95.56170463562012 seconds.
2020-01-28 04:40   Evaluation Accuracy: 95.88 Exact Match: 90.65  Target Accuracy:  0.00
2020-01-28 04:40 Iteration 00087100, loss   0.0149, accuracy 99.29, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:41 Iteration 00087200, loss   0.0136, accuracy 99.56, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:41 Iteration 00087300, loss   0.0111, accuracy 99.56, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:42 Iteration 00087400, loss   0.0152, accuracy 99.40, exact match 91.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:43 Iteration 00087500, loss   0.0204, accuracy 99.35, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:43 Iteration 00087600, loss   0.0165, accuracy 99.44, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:44 Iteration 00087700, loss   0.0190, accuracy 99.41, exact match 91.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:45 Iteration 00087800, loss   0.0167, accuracy 99.46, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:45 Iteration 00087900, loss   0.0119, accuracy 99.62, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:46 Iteration 00088000, loss   0.0234, accuracy 99.29, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:46 Evaluating..
2020-01-28 04:47 Predicted for 2001 examples.
2020-01-28 04:47 Done predicting in 95.865394115448 seconds.
2020-01-28 04:47   Evaluation Accuracy: 95.49 Exact Match: 89.80  Target Accuracy:  0.00
2020-01-28 04:48 Iteration 00088100, loss   0.0155, accuracy 99.28, exact match 90.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:49 Iteration 00088200, loss   0.0145, accuracy 99.52, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:49 Iteration 00088300, loss   0.0113, accuracy 99.47, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:50 Iteration 00088400, loss   0.0133, accuracy 99.52, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:51 Iteration 00088500, loss   0.0136, accuracy 99.45, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:51 Iteration 00088600, loss   0.0114, accuracy 99.50, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:52 Iteration 00088700, loss   0.0254, accuracy 98.98, exact match 87.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:53 Iteration 00088800, loss   0.0162, accuracy 99.43, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:53 Iteration 00088900, loss   0.0202, accuracy 99.14, exact match 89.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:54 Iteration 00089000, loss   0.0166, accuracy 99.39, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:54 Evaluating..
2020-01-28 04:55 Predicted for 2001 examples.
2020-01-28 04:55 Done predicting in 95.38039970397949 seconds.
2020-01-28 04:55   Evaluation Accuracy: 96.23 Exact Match: 91.55  Target Accuracy:  0.00
2020-01-28 04:56 Iteration 00089100, loss   0.0156, accuracy 99.50, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:57 Iteration 00089200, loss   0.0151, accuracy 99.46, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-28 04:57 Iteration 00089300, loss   0.0150, accuracy 99.45, exact match 92.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 04:58 Iteration 00089400, loss   0.0109, accuracy 99.63, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 04:59 Iteration 00089500, loss   0.0175, accuracy 99.35, exact match 92.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 04:59 Iteration 00089600, loss   0.0140, accuracy 99.48, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:00 Iteration 00089700, loss   0.0143, accuracy 99.43, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:01 Iteration 00089800, loss   0.0176, accuracy 99.44, exact match 93.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:01 Iteration 00089900, loss   0.0169, accuracy 99.31, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:02 Iteration 00090000, loss   0.0162, accuracy 99.25, exact match 91.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:02 Evaluating..
2020-01-28 05:03 Predicted for 2001 examples.
2020-01-28 05:03 Done predicting in 95.263192653656 seconds.
2020-01-28 05:03   Evaluation Accuracy: 95.96 Exact Match: 91.00  Target Accuracy:  0.00
2020-01-28 05:04 Iteration 00090100, loss   0.0120, accuracy 99.50, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:05 Iteration 00090200, loss   0.0181, accuracy 99.32, exact match 90.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:05 Iteration 00090300, loss   0.0265, accuracy 99.12, exact match 89.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:06 Iteration 00090400, loss   0.0078, accuracy 99.80, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:07 Iteration 00090500, loss   0.0229, accuracy 99.17, exact match 89.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:07 Iteration 00090600, loss   0.0190, accuracy 99.27, exact match 91.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:08 Iteration 00090700, loss   0.0185, accuracy 99.22, exact match 90.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:09 Iteration 00090800, loss   0.0082, accuracy 99.67, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:09 Iteration 00090900, loss   0.0114, accuracy 99.51, exact match 93.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:10 Iteration 00091000, loss   0.0211, accuracy 99.20, exact match 89.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:10 Evaluating..
2020-01-28 05:11 Predicted for 2001 examples.
2020-01-28 05:11 Done predicting in 95.10352969169617 seconds.
2020-01-28 05:11   Evaluation Accuracy: 95.35 Exact Match: 89.60  Target Accuracy:  0.00
2020-01-28 05:12 Iteration 00091100, loss   0.0127, accuracy 99.49, exact match 93.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:13 Iteration 00091200, loss   0.0167, accuracy 99.28, exact match 90.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:13 Iteration 00091300, loss   0.0156, accuracy 99.27, exact match 91.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:14 Iteration 00091400, loss   0.0088, accuracy 99.73, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:15 Iteration 00091500, loss   0.0115, accuracy 99.63, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:15 Iteration 00091600, loss   0.0143, accuracy 99.56, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:16 Iteration 00091700, loss   0.0128, accuracy 99.57, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:16 Iteration 00091800, loss   0.0122, accuracy 99.40, exact match 91.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:17 Iteration 00091900, loss   0.0174, accuracy 99.45, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:18 Iteration 00092000, loss   0.0226, accuracy 99.01, exact match 87.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:18 Evaluating..
2020-01-28 05:19 Predicted for 2001 examples.
2020-01-28 05:19 Done predicting in 95.66857814788818 seconds.
2020-01-28 05:19   Evaluation Accuracy: 95.35 Exact Match: 90.10  Target Accuracy:  0.00
2020-01-28 05:20 Iteration 00092100, loss   0.0181, accuracy 99.27, exact match 90.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:21 Iteration 00092200, loss   0.0199, accuracy 99.45, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-28 05:21 Iteration 00092300, loss   0.0235, accuracy 99.28, exact match 91.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:22 Iteration 00092400, loss   0.0192, accuracy 99.29, exact match 91.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:22 Iteration 00092500, loss   0.0130, accuracy 99.55, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:23 Iteration 00092600, loss   0.0133, accuracy 99.34, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:24 Iteration 00092700, loss   0.0131, accuracy 99.56, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:24 Iteration 00092800, loss   0.0141, accuracy 99.47, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:25 Iteration 00092900, loss   0.0213, accuracy 99.22, exact match 92.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:26 Iteration 00093000, loss   0.0150, accuracy 99.57, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:26 Evaluating..
2020-01-28 05:27 Predicted for 2001 examples.
2020-01-28 05:27 Done predicting in 95.5035548210144 seconds.
2020-01-28 05:27   Evaluation Accuracy: 95.73 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 05:28 Iteration 00093100, loss   0.0157, accuracy 99.42, exact match 91.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:29 Iteration 00093200, loss   0.0098, accuracy 99.60, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:29 Iteration 00093300, loss   0.0147, accuracy 99.45, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:30 Iteration 00093400, loss   0.0135, accuracy 99.49, exact match 93.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:30 Iteration 00093500, loss   0.0128, accuracy 99.46, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:31 Iteration 00093600, loss   0.0147, accuracy 99.34, exact match 91.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:32 Iteration 00093700, loss   0.0133, accuracy 99.44, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:32 Iteration 00093800, loss   0.0071, accuracy 99.75, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:33 Iteration 00093900, loss   0.0115, accuracy 99.73, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:34 Iteration 00094000, loss   0.0176, accuracy 99.43, exact match 93.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:34 Evaluating..
2020-01-28 05:35 Predicted for 2001 examples.
2020-01-28 05:35 Done predicting in 95.82319641113281 seconds.
2020-01-28 05:35   Evaluation Accuracy: 95.73 Exact Match: 90.25  Target Accuracy:  0.00
2020-01-28 05:36 Iteration 00094100, loss   0.0106, accuracy 99.61, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:37 Iteration 00094200, loss   0.0200, accuracy 99.30, exact match 91.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:37 Iteration 00094300, loss   0.0148, accuracy 99.55, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:38 Iteration 00094400, loss   0.0155, accuracy 99.35, exact match 93.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:38 Iteration 00094500, loss   0.0213, accuracy 99.03, exact match 87.97, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:39 Iteration 00094600, loss   0.0133, accuracy 99.45, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:40 Iteration 00094700, loss   0.0167, accuracy 99.48, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:40 Iteration 00094800, loss   0.0163, accuracy 99.22, exact match 89.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:41 Iteration 00094900, loss   0.0214, accuracy 99.29, exact match 90.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:42 Iteration 00095000, loss   0.0173, accuracy 99.43, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:42 Evaluating..
2020-01-28 05:43 Predicted for 2001 examples.
2020-01-28 05:43 Done predicting in 95.89234519004822 seconds.
2020-01-28 05:43   Evaluation Accuracy: 95.61 Exact Match: 90.40  Target Accuracy:  0.00
2020-01-28 05:44 Iteration 00095100, loss   0.0147, accuracy 99.41, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:44 Iteration 00095200, loss   0.0128, accuracy 99.53, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:45 Iteration 00095300, loss   0.0178, accuracy 99.28, exact match 90.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-28 05:46 Iteration 00095400, loss   0.0174, accuracy 99.47, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:46 Iteration 00095500, loss   0.0155, accuracy 99.35, exact match 91.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:47 Iteration 00095600, loss   0.0150, accuracy 99.38, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:48 Iteration 00095700, loss   0.0172, accuracy 99.50, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:48 Iteration 00095800, loss   0.0302, accuracy 99.17, exact match 90.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:49 Iteration 00095900, loss   0.0173, accuracy 99.36, exact match 92.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:50 Iteration 00096000, loss   0.0173, accuracy 99.21, exact match 89.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:50 Evaluating..
2020-01-28 05:51 Predicted for 2001 examples.
2020-01-28 05:51 Done predicting in 95.5839524269104 seconds.
2020-01-28 05:51   Evaluation Accuracy: 95.80 Exact Match: 90.50  Target Accuracy:  0.00
2020-01-28 05:52 Iteration 00096100, loss   0.0165, accuracy 99.25, exact match 89.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:52 Iteration 00096200, loss   0.0177, accuracy 99.28, exact match 90.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:53 Iteration 00096300, loss   0.0221, accuracy 99.34, exact match 91.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:54 Iteration 00096400, loss   0.0145, accuracy 99.42, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:54 Iteration 00096500, loss   0.0087, accuracy 99.63, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:55 Iteration 00096600, loss   0.0085, accuracy 99.66, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:56 Iteration 00096700, loss   0.0124, accuracy 99.46, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:56 Iteration 00096800, loss   0.0174, accuracy 99.30, exact match 91.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:57 Iteration 00096900, loss   0.0140, accuracy 99.33, exact match 92.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:58 Iteration 00097000, loss   0.0098, accuracy 99.61, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 05:58 Evaluating..
2020-01-28 05:59 Predicted for 2001 examples.
2020-01-28 05:59 Done predicting in 95.15252423286438 seconds.
2020-01-28 05:59   Evaluation Accuracy: 95.64 Exact Match: 90.45  Target Accuracy:  0.00
2020-01-28 06:00 Iteration 00097100, loss   0.0117, accuracy 99.62, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:00 Iteration 00097200, loss   0.0166, accuracy 99.33, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:01 Iteration 00097300, loss   0.0102, accuracy 99.62, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:02 Iteration 00097400, loss   0.0145, accuracy 99.39, exact match 92.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:02 Iteration 00097500, loss   0.0123, accuracy 99.55, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:03 Iteration 00097600, loss   0.0105, accuracy 99.66, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:04 Iteration 00097700, loss   0.0129, accuracy 99.54, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:04 Iteration 00097800, loss   0.0152, accuracy 99.34, exact match 91.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:05 Iteration 00097900, loss   0.0188, accuracy 99.27, exact match 90.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:05 Iteration 00098000, loss   0.0197, accuracy 99.30, exact match 90.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:05 Evaluating..
2020-01-28 06:07 Predicted for 2001 examples.
2020-01-28 06:07 Done predicting in 95.90434980392456 seconds.
2020-01-28 06:07   Evaluation Accuracy: 96.13 Exact Match: 91.45  Target Accuracy:  0.00
2020-01-28 06:08 Iteration 00098100, loss   0.0161, accuracy 99.50, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:08 Iteration 00098200, loss   0.0115, accuracy 99.55, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:09 Iteration 00098300, loss   0.0079, accuracy 99.70, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:10 Iteration 00098400, loss   0.0110, accuracy 99.41, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:10 Iteration 00098500, loss   0.0118, accuracy 99.53, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-28 06:11 Iteration 00098600, loss   0.0131, accuracy 99.59, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:12 Iteration 00098700, loss   0.0196, accuracy 99.24, exact match 89.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:12 Iteration 00098800, loss   0.0091, accuracy 99.76, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:13 Iteration 00098900, loss   0.0162, accuracy 99.45, exact match 92.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:13 Iteration 00099000, loss   0.0163, accuracy 99.35, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:13 Evaluating..
2020-01-28 06:15 Predicted for 2001 examples.
2020-01-28 06:15 Done predicting in 95.4911720752716 seconds.
2020-01-28 06:15   Evaluation Accuracy: 95.63 Exact Match: 90.35  Target Accuracy:  0.00
2020-01-28 06:16 Iteration 00099100, loss   0.0171, accuracy 99.43, exact match 92.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:16 Iteration 00099200, loss   0.0197, accuracy 99.37, exact match 92.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:17 Iteration 00099300, loss   0.0215, accuracy 99.43, exact match 93.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:18 Iteration 00099400, loss   0.0162, accuracy 99.34, exact match 92.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:18 Iteration 00099500, loss   0.0179, accuracy 99.41, exact match 92.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:19 Iteration 00099600, loss   0.0099, accuracy 99.51, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:20 Iteration 00099700, loss   0.0110, accuracy 99.62, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:20 Iteration 00099800, loss   0.0212, accuracy 99.23, exact match 90.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:21 Iteration 00099900, loss   0.0208, accuracy 99.26, exact match 90.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:21 Iteration 00100000, loss   0.0161, accuracy 99.43, exact match 93.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:21 Evaluating..
2020-01-28 06:23 Predicted for 2001 examples.
2020-01-28 06:23 Done predicting in 95.58180356025696 seconds.
2020-01-28 06:23   Evaluation Accuracy: 95.50 Exact Match: 90.40  Target Accuracy:  0.00
2020-01-28 06:24 Iteration 00100100, loss   0.0163, accuracy 99.38, exact match 91.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:24 Iteration 00100200, loss   0.0192, accuracy 99.00, exact match 89.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:25 Iteration 00100300, loss   0.0145, accuracy 99.46, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:26 Iteration 00100400, loss   0.0137, accuracy 99.56, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:26 Iteration 00100500, loss   0.0186, accuracy 99.33, exact match 91.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:27 Iteration 00100600, loss   0.0155, accuracy 99.41, exact match 92.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:27 Iteration 00100700, loss   0.0145, accuracy 99.64, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:28 Iteration 00100800, loss   0.0180, accuracy 99.59, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:29 Iteration 00100900, loss   0.0085, accuracy 99.75, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:29 Iteration 00101000, loss   0.0152, accuracy 99.43, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:29 Evaluating..
2020-01-28 06:31 Predicted for 2001 examples.
2020-01-28 06:31 Done predicting in 95.69844245910645 seconds.
2020-01-28 06:31   Evaluation Accuracy: 96.02 Exact Match: 90.95  Target Accuracy:  0.00
2020-01-28 06:32 Iteration 00101100, loss   0.0102, accuracy 99.65, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:32 Iteration 00101200, loss   0.0130, accuracy 99.57, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:33 Iteration 00101300, loss   0.0114, accuracy 99.42, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:34 Iteration 00101400, loss   0.0150, accuracy 99.38, exact match 92.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:34 Iteration 00101500, loss   0.0167, accuracy 99.53, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:35 Iteration 00101600, loss   0.0138, accuracy 99.45, exact match 92.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:35 Iteration 00101700, loss   0.0172, accuracy 99.31, exact match 91.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-28 06:36 Iteration 00101800, loss   0.0153, accuracy 99.48, exact match 93.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:37 Iteration 00101900, loss   0.0109, accuracy 99.61, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:37 Iteration 00102000, loss   0.0122, accuracy 99.48, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:37 Evaluating..
2020-01-28 06:39 Predicted for 2001 examples.
2020-01-28 06:39 Done predicting in 95.97937631607056 seconds.
2020-01-28 06:39   Evaluation Accuracy: 95.73 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 06:40 Iteration 00102100, loss   0.0111, accuracy 99.65, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:40 Iteration 00102200, loss   0.0179, accuracy 99.33, exact match 91.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:41 Iteration 00102300, loss   0.0124, accuracy 99.57, exact match 93.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:42 Iteration 00102400, loss   0.0109, accuracy 99.74, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:42 Iteration 00102500, loss   0.0155, accuracy 99.41, exact match 91.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:43 Iteration 00102600, loss   0.0126, accuracy 99.49, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:43 Iteration 00102700, loss   0.0170, accuracy 99.22, exact match 90.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:44 Iteration 00102800, loss   0.0118, accuracy 99.49, exact match 93.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:45 Iteration 00102900, loss   0.0186, accuracy 99.26, exact match 89.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:45 Iteration 00103000, loss   0.0102, accuracy 99.76, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:45 Evaluating..
2020-01-28 06:47 Predicted for 2001 examples.
2020-01-28 06:47 Done predicting in 95.45817303657532 seconds.
2020-01-28 06:47   Evaluation Accuracy: 95.85 Exact Match: 90.95  Target Accuracy:  0.00
2020-01-28 06:48 Iteration 00103100, loss   0.0106, accuracy 99.66, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:48 Iteration 00103200, loss   0.0180, accuracy 99.24, exact match 90.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:49 Iteration 00103300, loss   0.0107, accuracy 99.66, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:49 Iteration 00103400, loss   0.0181, accuracy 99.17, exact match 90.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:50 Iteration 00103500, loss   0.0091, accuracy 99.58, exact match 93.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:51 Iteration 00103600, loss   0.0121, accuracy 99.52, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:51 Iteration 00103700, loss   0.0181, accuracy 99.62, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:52 Iteration 00103800, loss   0.0111, accuracy 99.47, exact match 92.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:53 Iteration 00103900, loss   0.0223, accuracy 99.35, exact match 91.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:53 Iteration 00104000, loss   0.0108, accuracy 99.51, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:53 Evaluating..
2020-01-28 06:55 Predicted for 2001 examples.
2020-01-28 06:55 Done predicting in 95.80478096008301 seconds.
2020-01-28 06:55   Evaluation Accuracy: 95.87 Exact Match: 90.75  Target Accuracy:  0.00
2020-01-28 06:56 Iteration 00104100, loss   0.0117, accuracy 99.61, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:56 Iteration 00104200, loss   0.0078, accuracy 99.75, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:57 Iteration 00104300, loss   0.0129, accuracy 99.53, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:57 Iteration 00104400, loss   0.0151, accuracy 99.34, exact match 92.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:58 Iteration 00104500, loss   0.0121, accuracy 99.63, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:59 Iteration 00104600, loss   0.0142, accuracy 99.41, exact match 92.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 06:59 Iteration 00104700, loss   0.0138, accuracy 99.45, exact match 92.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 07:00 Iteration 00104800, loss   0.0145, accuracy 99.40, exact match 91.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 07:01 Iteration 00104900, loss   0.0124, accuracy 99.68, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 07:01 Iteration 00105000, loss   0.0160, accuracy 99.34, exact match 90.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-28 07:01 Evaluating..
2020-01-28 07:03 Predicted for 2001 examples.
2020-01-28 07:03 Done predicting in 95.66255259513855 seconds.
2020-01-28 07:03   Evaluation Accuracy: 95.97 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 07:03 Iteration 00105100, loss   0.0158, accuracy 99.31, exact match 90.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:04 Iteration 00105200, loss   0.0102, accuracy 99.61, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:05 Iteration 00105300, loss   0.0104, accuracy 99.60, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:05 Iteration 00105400, loss   0.0158, accuracy 99.46, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:06 Iteration 00105500, loss   0.0171, accuracy 99.30, exact match 92.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:07 Iteration 00105600, loss   0.0178, accuracy 99.16, exact match 89.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:07 Iteration 00105700, loss   0.0104, accuracy 99.74, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:08 Iteration 00105800, loss   0.0192, accuracy 99.27, exact match 91.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:09 Iteration 00105900, loss   0.0140, accuracy 99.57, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:09 Iteration 00106000, loss   0.0230, accuracy 99.35, exact match 91.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:09 Evaluating..
2020-01-28 07:11 Predicted for 2001 examples.
2020-01-28 07:11 Done predicting in 96.09852337837219 seconds.
2020-01-28 07:11   Evaluation Accuracy: 96.14 Exact Match: 91.35  Target Accuracy:  0.00
2020-01-28 07:11 Iteration 00106100, loss   0.0113, accuracy 99.58, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:12 Iteration 00106200, loss   0.0090, accuracy 99.60, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:13 Iteration 00106300, loss   0.0180, accuracy 99.31, exact match 91.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:13 Iteration 00106400, loss   0.0104, accuracy 99.51, exact match 92.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:14 Iteration 00106500, loss   0.0091, accuracy 99.62, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:15 Iteration 00106600, loss   0.0162, accuracy 99.45, exact match 92.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:15 Iteration 00106700, loss   0.0194, accuracy 99.25, exact match 90.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:16 Iteration 00106800, loss   0.0134, accuracy 99.54, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:17 Iteration 00106900, loss   0.0190, accuracy 99.40, exact match 93.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:17 Iteration 00107000, loss   0.0115, accuracy 99.56, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:17 Evaluating..
2020-01-28 07:19 Predicted for 2001 examples.
2020-01-28 07:19 Done predicting in 95.65468978881836 seconds.
2020-01-28 07:19   Evaluation Accuracy: 95.85 Exact Match: 91.05  Target Accuracy:  0.00
2020-01-28 07:19 Iteration 00107100, loss   0.0153, accuracy 99.31, exact match 92.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:20 Iteration 00107200, loss   0.0211, accuracy 99.31, exact match 91.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:21 Iteration 00107300, loss   0.0127, accuracy 99.63, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:21 Iteration 00107400, loss   0.0083, accuracy 99.61, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:22 Iteration 00107500, loss   0.0199, accuracy 99.34, exact match 92.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:23 Iteration 00107600, loss   0.0102, accuracy 99.66, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:23 Iteration 00107700, loss   0.0163, accuracy 99.36, exact match 92.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:24 Iteration 00107800, loss   0.0095, accuracy 99.69, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:24 Iteration 00107900, loss   0.0194, accuracy 99.41, exact match 93.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:25 Iteration 00108000, loss   0.0135, accuracy 99.50, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:25 Evaluating..
2020-01-28 07:27 Predicted for 2001 examples.
2020-01-28 07:27 Done predicting in 95.95454907417297 seconds.
2020-01-28 07:27   Evaluation Accuracy: 95.68 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 07:27 Iteration 00108100, loss   0.0124, accuracy 99.61, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:28 Iteration 00108200, loss   0.0121, accuracy 99.48, exact match 93.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:29 Iteration 00108300, loss   0.0132, accuracy 99.45, exact match 92.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-28 07:29 Iteration 00108400, loss   0.0144, accuracy 99.46, exact match 92.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:30 Iteration 00108500, loss   0.0166, accuracy 99.42, exact match 92.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:31 Iteration 00108600, loss   0.0154, accuracy 99.44, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:31 Iteration 00108700, loss   0.0173, accuracy 99.21, exact match 92.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:32 Iteration 00108800, loss   0.0178, accuracy 99.39, exact match 92.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:32 Iteration 00108900, loss   0.0180, accuracy 99.23, exact match 91.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:33 Iteration 00109000, loss   0.0147, accuracy 99.43, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:33 Evaluating..
2020-01-28 07:35 Predicted for 2001 examples.
2020-01-28 07:35 Done predicting in 95.49056458473206 seconds.
2020-01-28 07:35   Evaluation Accuracy: 95.80 Exact Match: 91.00  Target Accuracy:  0.00
2020-01-28 07:35 Iteration 00109100, loss   0.0119, accuracy 99.51, exact match 94.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:36 Iteration 00109200, loss   0.0157, accuracy 99.42, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:37 Iteration 00109300, loss   0.0102, accuracy 99.69, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:37 Iteration 00109400, loss   0.0162, accuracy 99.34, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:38 Iteration 00109500, loss   0.0190, accuracy 99.36, exact match 91.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:39 Iteration 00109600, loss   0.0108, accuracy 99.57, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:39 Iteration 00109700, loss   0.0206, accuracy 99.14, exact match 89.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:40 Iteration 00109800, loss   0.0127, accuracy 99.54, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:40 Iteration 00109900, loss   0.0069, accuracy 99.74, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:41 Iteration 00110000, loss   0.0125, accuracy 99.66, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:41 Evaluating..
2020-01-28 07:43 Predicted for 2001 examples.
2020-01-28 07:43 Done predicting in 95.37891483306885 seconds.
2020-01-28 07:43   Evaluation Accuracy: 96.00 Exact Match: 91.10  Target Accuracy:  0.00
2020-01-28 07:43 Iteration 00110100, loss   0.0111, accuracy 99.51, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:44 Iteration 00110200, loss   0.0159, accuracy 99.48, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:45 Iteration 00110300, loss   0.0093, accuracy 99.65, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:45 Iteration 00110400, loss   0.0123, accuracy 99.51, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:46 Iteration 00110500, loss   0.0187, accuracy 99.17, exact match 89.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:46 Iteration 00110600, loss   0.0168, accuracy 99.44, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:47 Iteration 00110700, loss   0.0104, accuracy 99.65, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:48 Iteration 00110800, loss   0.0189, accuracy 99.32, exact match 91.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:48 Iteration 00110900, loss   0.0147, accuracy 99.44, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:49 Iteration 00111000, loss   0.0159, accuracy 99.49, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:49 Evaluating..
2020-01-28 07:51 Predicted for 2001 examples.
2020-01-28 07:51 Done predicting in 95.68170809745789 seconds.
2020-01-28 07:51   Evaluation Accuracy: 95.81 Exact Match: 90.95  Target Accuracy:  0.00
2020-01-28 07:51 Iteration 00111100, loss   0.0132, accuracy 99.40, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:52 Iteration 00111200, loss   0.0148, accuracy 99.61, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:53 Iteration 00111300, loss   0.0192, accuracy 99.20, exact match 88.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:53 Iteration 00111400, loss   0.0137, accuracy 99.48, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:54 Iteration 00111500, loss   0.0133, accuracy 99.54, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:54 Iteration 00111600, loss   0.0091, accuracy 99.63, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:55 Iteration 00111700, loss   0.0193, accuracy 99.38, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-28 07:56 Iteration 00111800, loss   0.0111, accuracy 99.51, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 07:56 Iteration 00111900, loss   0.0111, accuracy 99.62, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 07:57 Iteration 00112000, loss   0.0161, accuracy 99.38, exact match 92.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 07:57 Evaluating..
2020-01-28 07:59 Predicted for 2001 examples.
2020-01-28 07:59 Done predicting in 95.85188722610474 seconds.
2020-01-28 07:59   Evaluation Accuracy: 95.87 Exact Match: 90.85  Target Accuracy:  0.00
2020-01-28 07:59 Iteration 00112100, loss   0.0126, accuracy 99.61, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:00 Iteration 00112200, loss   0.0122, accuracy 99.57, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:00 Iteration 00112300, loss   0.0114, accuracy 99.57, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:01 Iteration 00112400, loss   0.0146, accuracy 99.38, exact match 91.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:02 Iteration 00112500, loss   0.0134, accuracy 99.49, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:02 Iteration 00112600, loss   0.0080, accuracy 99.68, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:03 Iteration 00112700, loss   0.0149, accuracy 99.40, exact match 92.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:04 Iteration 00112800, loss   0.0136, accuracy 99.44, exact match 92.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:04 Iteration 00112900, loss   0.0112, accuracy 99.44, exact match 93.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:05 Iteration 00113000, loss   0.0122, accuracy 99.65, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:05 Evaluating..
2020-01-28 08:07 Predicted for 2001 examples.
2020-01-28 08:07 Done predicting in 95.56908178329468 seconds.
2020-01-28 08:07   Evaluation Accuracy: 95.77 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 08:07 Iteration 00113100, loss   0.0133, accuracy 99.65, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:08 Iteration 00113200, loss   0.0171, accuracy 99.37, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:08 Iteration 00113300, loss   0.0092, accuracy 99.62, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:09 Iteration 00113400, loss   0.0115, accuracy 99.65, exact match 94.74, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:10 Iteration 00113500, loss   0.0134, accuracy 99.57, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:10 Iteration 00113600, loss   0.0121, accuracy 99.57, exact match 94.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:11 Iteration 00113700, loss   0.0150, accuracy 99.46, exact match 92.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:12 Iteration 00113800, loss   0.0154, accuracy 99.37, exact match 93.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:12 Iteration 00113900, loss   0.0123, accuracy 99.50, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:13 Iteration 00114000, loss   0.0124, accuracy 99.60, exact match 94.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:13 Evaluating..
2020-01-28 08:15 Predicted for 2001 examples.
2020-01-28 08:15 Done predicting in 95.53638577461243 seconds.
2020-01-28 08:15   Evaluation Accuracy: 95.75 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 08:15 Iteration 00114100, loss   0.0129, accuracy 99.51, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:16 Iteration 00114200, loss   0.0190, accuracy 99.32, exact match 91.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:16 Iteration 00114300, loss   0.0177, accuracy 99.31, exact match 91.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:17 Iteration 00114400, loss   0.0108, accuracy 99.58, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:18 Iteration 00114500, loss   0.0161, accuracy 99.32, exact match 91.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:18 Iteration 00114600, loss   0.0140, accuracy 99.51, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:19 Iteration 00114700, loss   0.0154, accuracy 99.48, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:20 Iteration 00114800, loss   0.0135, accuracy 99.52, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:20 Iteration 00114900, loss   0.0078, accuracy 99.69, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:21 Iteration 00115000, loss   0.0124, accuracy 99.60, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:21 Evaluating..
2020-01-28 08:22 Predicted for 2001 examples.
2020-01-28 08:22 Done predicting in 95.27277112007141 seconds.
2020-01-28 08:22   Evaluation Accuracy: 95.93 Exact Match: 91.50  Target Accuracy:  0.00
2020-01-28 08:23 Iteration 00115100, loss   0.0143, accuracy 99.51, exact match 94.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:24 Iteration 00115200, loss   0.0183, accuracy 99.20, exact match 90.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-28 08:24 Iteration 00115300, loss   0.0128, accuracy 99.49, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:25 Iteration 00115400, loss   0.0112, accuracy 99.50, exact match 93.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:26 Iteration 00115500, loss   0.0081, accuracy 99.78, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:26 Iteration 00115600, loss   0.0177, accuracy 99.26, exact match 90.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:27 Iteration 00115700, loss   0.0137, accuracy 99.63, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:28 Iteration 00115800, loss   0.0203, accuracy 99.08, exact match 88.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:28 Iteration 00115900, loss   0.0093, accuracy 99.65, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:29 Iteration 00116000, loss   0.0115, accuracy 99.61, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:29 Evaluating..
2020-01-28 08:30 Predicted for 2001 examples.
2020-01-28 08:30 Done predicting in 95.86163783073425 seconds.
2020-01-28 08:30   Evaluation Accuracy: 95.80 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 08:31 Iteration 00116100, loss   0.0161, accuracy 99.41, exact match 92.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:32 Iteration 00116200, loss   0.0114, accuracy 99.51, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:32 Iteration 00116300, loss   0.0140, accuracy 99.49, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:33 Iteration 00116400, loss   0.0188, accuracy 99.26, exact match 91.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:34 Iteration 00116500, loss   0.0158, accuracy 99.38, exact match 91.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:34 Iteration 00116600, loss   0.0110, accuracy 99.54, exact match 93.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:35 Iteration 00116700, loss   0.0102, accuracy 99.53, exact match 93.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:36 Iteration 00116800, loss   0.0155, accuracy 99.36, exact match 90.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:36 Iteration 00116900, loss   0.0153, accuracy 99.55, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:37 Iteration 00117000, loss   0.0142, accuracy 99.55, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:37 Evaluating..
2020-01-28 08:38 Predicted for 2001 examples.
2020-01-28 08:38 Done predicting in 95.5608479976654 seconds.
2020-01-28 08:38   Evaluation Accuracy: 96.24 Exact Match: 91.85  Target Accuracy:  0.00
2020-01-28 08:39 Iteration 00117100, loss   0.0180, accuracy 99.36, exact match 92.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:40 Iteration 00117200, loss   0.0144, accuracy 99.51, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:40 Iteration 00117300, loss   0.0183, accuracy 99.49, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:41 Iteration 00117400, loss   0.0157, accuracy 99.23, exact match 90.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:42 Iteration 00117500, loss   0.0137, accuracy 99.48, exact match 93.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:42 Iteration 00117600, loss   0.0144, accuracy 99.51, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:43 Iteration 00117700, loss   0.0083, accuracy 99.68, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:43 Iteration 00117800, loss   0.0111, accuracy 99.57, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:44 Iteration 00117900, loss   0.0109, accuracy 99.64, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:45 Iteration 00118000, loss   0.0138, accuracy 99.62, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:45 Evaluating..
2020-01-28 08:46 Predicted for 2001 examples.
2020-01-28 08:46 Done predicting in 95.4146568775177 seconds.
2020-01-28 08:46   Evaluation Accuracy: 95.52 Exact Match: 90.85  Target Accuracy:  0.00
2020-01-28 08:47 Iteration 00118100, loss   0.0097, accuracy 99.62, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:48 Iteration 00118200, loss   0.0141, accuracy 99.54, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:48 Iteration 00118300, loss   0.0097, accuracy 99.57, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:49 Iteration 00118400, loss   0.0087, accuracy 99.66, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:50 Iteration 00118500, loss   0.0213, accuracy 99.15, exact match 89.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:50 Iteration 00118600, loss   0.0087, accuracy 99.71, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:51 Iteration 00118700, loss   0.0161, accuracy 99.41, exact match 92.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-28 08:51 Iteration 00118800, loss   0.0184, accuracy 99.25, exact match 91.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:52 Iteration 00118900, loss   0.0090, accuracy 99.68, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:53 Iteration 00119000, loss   0.0170, accuracy 99.43, exact match 91.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:53 Evaluating..
2020-01-28 08:54 Predicted for 2001 examples.
2020-01-28 08:54 Done predicting in 95.60544204711914 seconds.
2020-01-28 08:54   Evaluation Accuracy: 95.74 Exact Match: 91.55  Target Accuracy:  0.00
2020-01-28 08:55 Iteration 00119100, loss   0.0112, accuracy 99.70, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:56 Iteration 00119200, loss   0.0108, accuracy 99.68, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:56 Iteration 00119300, loss   0.0097, accuracy 99.68, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:57 Iteration 00119400, loss   0.0102, accuracy 99.64, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:57 Iteration 00119500, loss   0.0127, accuracy 99.52, exact match 93.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:58 Iteration 00119600, loss   0.0146, accuracy 99.56, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:59 Iteration 00119700, loss   0.0120, accuracy 99.62, exact match 94.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 08:59 Iteration 00119800, loss   0.0131, accuracy 99.58, exact match 93.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:00 Iteration 00119900, loss   0.0106, accuracy 99.70, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:01 Iteration 00120000, loss   0.0164, accuracy 99.43, exact match 92.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:01 Evaluating..
2020-01-28 09:02 Predicted for 2001 examples.
2020-01-28 09:02 Done predicting in 95.37073349952698 seconds.
2020-01-28 09:02   Evaluation Accuracy: 95.78 Exact Match: 91.10  Target Accuracy:  0.00
2020-01-28 09:03 Iteration 00120100, loss   0.0192, accuracy 99.31, exact match 91.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:04 Iteration 00120200, loss   0.0064, accuracy 99.80, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:04 Iteration 00120300, loss   0.0163, accuracy 99.34, exact match 92.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:05 Iteration 00120400, loss   0.0156, accuracy 99.53, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:05 Iteration 00120500, loss   0.0152, accuracy 99.37, exact match 91.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:06 Iteration 00120600, loss   0.0126, accuracy 99.62, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:07 Iteration 00120700, loss   0.0116, accuracy 99.61, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:07 Iteration 00120800, loss   0.0296, accuracy 99.13, exact match 90.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:08 Iteration 00120900, loss   0.0117, accuracy 99.72, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:09 Iteration 00121000, loss   0.0078, accuracy 99.76, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:09 Evaluating..
2020-01-28 09:10 Predicted for 2001 examples.
2020-01-28 09:10 Done predicting in 95.27099585533142 seconds.
2020-01-28 09:10   Evaluation Accuracy: 96.11 Exact Match: 91.85  Target Accuracy:  0.00
2020-01-28 09:11 Iteration 00121100, loss   0.0134, accuracy 99.46, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:11 Iteration 00121200, loss   0.0067, accuracy 99.82, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:12 Iteration 00121300, loss   0.0158, accuracy 99.41, exact match 91.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:13 Iteration 00121400, loss   0.0150, accuracy 99.31, exact match 91.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:13 Iteration 00121500, loss   0.0140, accuracy 99.43, exact match 92.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:14 Iteration 00121600, loss   0.0140, accuracy 99.56, exact match 93.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:15 Iteration 00121700, loss   0.0151, accuracy 99.46, exact match 92.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:15 Iteration 00121800, loss   0.0113, accuracy 99.43, exact match 92.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:16 Iteration 00121900, loss   0.0094, accuracy 99.64, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:17 Iteration 00122000, loss   0.0143, accuracy 99.46, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:17 Evaluating..
2020-01-28 09:18 Predicted for 2001 examples.
2020-01-28 09:18 Done predicting in 95.69754576683044 seconds.
2020-01-28 09:18   Evaluation Accuracy: 96.07 Exact Match: 91.50  Target Accuracy:  0.00
2020-01-28 09:19 Iteration 00122100, loss   0.0163, accuracy 99.42, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:19 Iteration 00122200, loss   0.0150, accuracy 99.43, exact match 93.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:20 Iteration 00122300, loss   0.0145, accuracy 99.24, exact match 91.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-28 09:21 Iteration 00122400, loss   0.0152, accuracy 99.50, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:21 Iteration 00122500, loss   0.0114, accuracy 99.49, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:22 Iteration 00122600, loss   0.0095, accuracy 99.56, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:23 Iteration 00122700, loss   0.0109, accuracy 99.59, exact match 94.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:23 Iteration 00122800, loss   0.0142, accuracy 99.34, exact match 91.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:24 Iteration 00122900, loss   0.0096, accuracy 99.60, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:25 Iteration 00123000, loss   0.0165, accuracy 99.46, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:25 Evaluating..
2020-01-28 09:26 Predicted for 2001 examples.
2020-01-28 09:26 Done predicting in 95.47546815872192 seconds.
2020-01-28 09:26   Evaluation Accuracy: 95.76 Exact Match: 91.40  Target Accuracy:  0.00
2020-01-28 09:27 Iteration 00123100, loss   0.0158, accuracy 99.30, exact match 91.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:27 Iteration 00123200, loss   0.0139, accuracy 99.54, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:28 Iteration 00123300, loss   0.0187, accuracy 99.53, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:29 Iteration 00123400, loss   0.0111, accuracy 99.69, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:29 Iteration 00123500, loss   0.0149, accuracy 99.41, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:30 Iteration 00123600, loss   0.0156, accuracy 99.25, exact match 91.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:31 Iteration 00123700, loss   0.0122, accuracy 99.41, exact match 92.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:31 Iteration 00123800, loss   0.0110, accuracy 99.56, exact match 94.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:32 Iteration 00123900, loss   0.0096, accuracy 99.63, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:33 Iteration 00124000, loss   0.0118, accuracy 99.59, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:33 Evaluating..
2020-01-28 09:34 Predicted for 2001 examples.
2020-01-28 09:34 Done predicting in 95.70405793190002 seconds.
2020-01-28 09:34   Evaluation Accuracy: 95.59 Exact Match: 91.40  Target Accuracy:  0.00
2020-01-28 09:35 Iteration 00124100, loss   0.0181, accuracy 99.46, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:35 Iteration 00124200, loss   0.0161, accuracy 99.46, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:36 Iteration 00124300, loss   0.0126, accuracy 99.62, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:37 Iteration 00124400, loss   0.0182, accuracy 99.41, exact match 92.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:37 Iteration 00124500, loss   0.0160, accuracy 99.39, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:38 Iteration 00124600, loss   0.0221, accuracy 99.39, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:39 Iteration 00124700, loss   0.0100, accuracy 99.68, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:39 Iteration 00124800, loss   0.0115, accuracy 99.62, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:40 Iteration 00124900, loss   0.0159, accuracy 99.48, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:40 Iteration 00125000, loss   0.0067, accuracy 99.77, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:40 Evaluating..
2020-01-28 09:42 Predicted for 2001 examples.
2020-01-28 09:42 Done predicting in 95.75292778015137 seconds.
2020-01-28 09:42   Evaluation Accuracy: 95.56 Exact Match: 90.80  Target Accuracy:  0.00
2020-01-28 09:43 Iteration 00125100, loss   0.0122, accuracy 99.47, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:43 Iteration 00125200, loss   0.0103, accuracy 99.49, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:44 Iteration 00125300, loss   0.0091, accuracy 99.72, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:45 Iteration 00125400, loss   0.0154, accuracy 99.49, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:45 Iteration 00125500, loss   0.0164, accuracy 99.34, exact match 92.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:46 Iteration 00125600, loss   0.0192, accuracy 99.43, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:47 Iteration 00125700, loss   0.0142, accuracy 99.44, exact match 92.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:47 Iteration 00125800, loss   0.0146, accuracy 99.48, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:48 Iteration 00125900, loss   0.0118, accuracy 99.65, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-28 09:48 Iteration 00126000, loss   0.0174, accuracy 99.37, exact match 90.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:48 Evaluating..
2020-01-28 09:50 Predicted for 2001 examples.
2020-01-28 09:50 Done predicting in 95.09722137451172 seconds.
2020-01-28 09:50   Evaluation Accuracy: 96.22 Exact Match: 92.35  Target Accuracy:  0.00
2020-01-28 09:51 Iteration 00126100, loss   0.0146, accuracy 99.41, exact match 92.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:51 Iteration 00126200, loss   0.0158, accuracy 99.47, exact match 94.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:52 Iteration 00126300, loss   0.0119, accuracy 99.51, exact match 93.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:53 Iteration 00126400, loss   0.0178, accuracy 99.26, exact match 91.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:53 Iteration 00126500, loss   0.0191, accuracy 99.30, exact match 90.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:54 Iteration 00126600, loss   0.0135, accuracy 99.39, exact match 92.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:54 Iteration 00126700, loss   0.0085, accuracy 99.73, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:55 Iteration 00126800, loss   0.0150, accuracy 99.48, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:56 Iteration 00126900, loss   0.0143, accuracy 99.58, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:56 Iteration 00127000, loss   0.0130, accuracy 99.54, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:56 Evaluating..
2020-01-28 09:58 Predicted for 2001 examples.
2020-01-28 09:58 Done predicting in 95.52132892608643 seconds.
2020-01-28 09:58   Evaluation Accuracy: 95.97 Exact Match: 91.50  Target Accuracy:  0.00
2020-01-28 09:59 Iteration 00127100, loss   0.0134, accuracy 99.53, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 09:59 Iteration 00127200, loss   0.0135, accuracy 99.43, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:00 Iteration 00127300, loss   0.0162, accuracy 99.50, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:01 Iteration 00127400, loss   0.0127, accuracy 99.53, exact match 93.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:01 Iteration 00127500, loss   0.0109, accuracy 99.62, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:02 Iteration 00127600, loss   0.0151, accuracy 99.57, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:02 Iteration 00127700, loss   0.0108, accuracy 99.61, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:03 Iteration 00127800, loss   0.0067, accuracy 99.76, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:04 Iteration 00127900, loss   0.0108, accuracy 99.58, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:04 Iteration 00128000, loss   0.0096, accuracy 99.64, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:04 Evaluating..
2020-01-28 10:06 Predicted for 2001 examples.
2020-01-28 10:06 Done predicting in 95.1873528957367 seconds.
2020-01-28 10:06   Evaluation Accuracy: 95.88 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-28 10:07 Iteration 00128100, loss   0.0113, accuracy 99.55, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:07 Iteration 00128200, loss   0.0169, accuracy 99.44, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:08 Iteration 00128300, loss   0.0088, accuracy 99.68, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:08 Iteration 00128400, loss   0.0076, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:09 Iteration 00128500, loss   0.0117, accuracy 99.66, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:10 Iteration 00128600, loss   0.0125, accuracy 99.58, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:10 Iteration 00128700, loss   0.0077, accuracy 99.71, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:11 Iteration 00128800, loss   0.0093, accuracy 99.62, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:12 Iteration 00128900, loss   0.0094, accuracy 99.64, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:12 Iteration 00129000, loss   0.0095, accuracy 99.71, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:12 Evaluating..
2020-01-28 10:14 Predicted for 2001 examples.
2020-01-28 10:14 Done predicting in 95.77621555328369 seconds.
2020-01-28 10:14   Evaluation Accuracy: 96.16 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 10:15 Iteration 00129100, loss   0.0095, accuracy 99.64, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:15 Iteration 00129200, loss   0.0104, accuracy 99.54, exact match 94.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:16 Iteration 00129300, loss   0.0087, accuracy 99.70, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:16 Iteration 00129400, loss   0.0085, accuracy 99.73, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:17 Iteration 00129500, loss   0.0124, accuracy 99.59, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:18 Iteration 00129600, loss   0.0119, accuracy 99.51, exact match 93.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-28 10:18 Iteration 00129700, loss   0.0118, accuracy 99.57, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:19 Iteration 00129800, loss   0.0155, accuracy 99.43, exact match 92.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:20 Iteration 00129900, loss   0.0079, accuracy 99.72, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:20 Iteration 00130000, loss   0.0178, accuracy 99.32, exact match 91.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:20 Evaluating..
2020-01-28 10:22 Predicted for 2001 examples.
2020-01-28 10:22 Done predicting in 95.56482601165771 seconds.
2020-01-28 10:22   Evaluation Accuracy: 96.22 Exact Match: 92.35  Target Accuracy:  0.00
2020-01-28 10:23 Iteration 00130100, loss   0.0147, accuracy 99.53, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:23 Iteration 00130200, loss   0.0128, accuracy 99.63, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:24 Iteration 00130300, loss   0.0109, accuracy 99.63, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:24 Iteration 00130400, loss   0.0108, accuracy 99.57, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:25 Iteration 00130500, loss   0.0102, accuracy 99.68, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:26 Iteration 00130600, loss   0.0081, accuracy 99.75, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:26 Iteration 00130700, loss   0.0126, accuracy 99.56, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:27 Iteration 00130800, loss   0.0161, accuracy 99.30, exact match 89.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:28 Iteration 00130900, loss   0.0143, accuracy 99.41, exact match 92.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:28 Iteration 00131000, loss   0.0081, accuracy 99.71, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:28 Evaluating..
2020-01-28 10:30 Predicted for 2001 examples.
2020-01-28 10:30 Done predicting in 95.32750344276428 seconds.
2020-01-28 10:30   Evaluation Accuracy: 96.16 Exact Match: 92.35  Target Accuracy:  0.00
2020-01-28 10:30 Iteration 00131100, loss   0.0088, accuracy 99.66, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:31 Iteration 00131200, loss   0.0152, accuracy 99.45, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:32 Iteration 00131300, loss   0.0233, accuracy 99.27, exact match 90.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:32 Iteration 00131400, loss   0.0161, accuracy 99.46, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:33 Iteration 00131500, loss   0.0107, accuracy 99.70, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:34 Iteration 00131600, loss   0.0084, accuracy 99.74, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:34 Iteration 00131700, loss   0.0205, accuracy 99.07, exact match 89.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:35 Iteration 00131800, loss   0.0166, accuracy 99.35, exact match 92.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:36 Iteration 00131900, loss   0.0142, accuracy 99.46, exact match 93.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:36 Iteration 00132000, loss   0.0154, accuracy 99.45, exact match 94.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:36 Evaluating..
2020-01-28 10:38 Predicted for 2001 examples.
2020-01-28 10:38 Done predicting in 95.3672034740448 seconds.
2020-01-28 10:38   Evaluation Accuracy: 95.80 Exact Match: 91.60  Target Accuracy:  0.00
2020-01-28 10:38 Iteration 00132100, loss   0.0119, accuracy 99.64, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:39 Iteration 00132200, loss   0.0166, accuracy 99.42, exact match 93.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:40 Iteration 00132300, loss   0.0091, accuracy 99.59, exact match 94.74, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:40 Iteration 00132400, loss   0.0083, accuracy 99.69, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:41 Iteration 00132500, loss   0.0078, accuracy 99.72, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:42 Iteration 00132600, loss   0.0086, accuracy 99.66, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:42 Iteration 00132700, loss   0.0105, accuracy 99.51, exact match 94.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:43 Iteration 00132800, loss   0.0082, accuracy 99.72, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:44 Iteration 00132900, loss   0.0126, accuracy 99.57, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:44 Iteration 00133000, loss   0.0123, accuracy 99.54, exact match 93.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:44 Evaluating..
2020-01-28 10:46 Predicted for 2001 examples.
2020-01-28 10:46 Done predicting in 95.25678253173828 seconds.
2020-01-28 10:46   Evaluation Accuracy: 96.02 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 10:46 Iteration 00133100, loss   0.0186, accuracy 99.32, exact match 92.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:47 Iteration 00133200, loss   0.0206, accuracy 99.28, exact match 90.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:48 Iteration 00133300, loss   0.0103, accuracy 99.61, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:48 Iteration 00133400, loss   0.0104, accuracy 99.62, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-28 10:49 Iteration 00133500, loss   0.0115, accuracy 99.42, exact match 92.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:50 Iteration 00133600, loss   0.0134, accuracy 99.42, exact match 93.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:50 Iteration 00133700, loss   0.0056, accuracy 99.83, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:51 Iteration 00133800, loss   0.0094, accuracy 99.58, exact match 94.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:51 Iteration 00133900, loss   0.0124, accuracy 99.59, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:52 Iteration 00134000, loss   0.0137, accuracy 99.35, exact match 91.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:52 Evaluating..
2020-01-28 10:54 Predicted for 2001 examples.
2020-01-28 10:54 Done predicting in 95.583340883255 seconds.
2020-01-28 10:54   Evaluation Accuracy: 96.11 Exact Match: 92.00  Target Accuracy:  0.00
2020-01-28 10:54 Iteration 00134100, loss   0.0160, accuracy 99.49, exact match 93.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:55 Iteration 00134200, loss   0.0087, accuracy 99.78, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:56 Iteration 00134300, loss   0.0124, accuracy 99.44, exact match 93.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:56 Iteration 00134400, loss   0.0085, accuracy 99.55, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:57 Iteration 00134500, loss   0.0097, accuracy 99.65, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:58 Iteration 00134600, loss   0.0078, accuracy 99.66, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:58 Iteration 00134700, loss   0.0116, accuracy 99.51, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:59 Iteration 00134800, loss   0.0111, accuracy 99.60, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 10:59 Iteration 00134900, loss   0.0106, accuracy 99.67, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:00 Iteration 00135000, loss   0.0144, accuracy 99.44, exact match 91.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:00 Evaluating..
2020-01-28 11:02 Predicted for 2001 examples.
2020-01-28 11:02 Done predicting in 95.47102308273315 seconds.
2020-01-28 11:02   Evaluation Accuracy: 95.67 Exact Match: 91.05  Target Accuracy:  0.00
2020-01-28 11:02 Iteration 00135100, loss   0.0121, accuracy 99.62, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:03 Iteration 00135200, loss   0.0173, accuracy 99.60, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:04 Iteration 00135300, loss   0.0073, accuracy 99.74, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:04 Iteration 00135400, loss   0.0134, accuracy 99.58, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:05 Iteration 00135500, loss   0.0122, accuracy 99.63, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:06 Iteration 00135600, loss   0.0180, accuracy 99.58, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:06 Iteration 00135700, loss   0.0086, accuracy 99.67, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:07 Iteration 00135800, loss   0.0128, accuracy 99.52, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:07 Iteration 00135900, loss   0.0135, accuracy 99.57, exact match 94.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:08 Iteration 00136000, loss   0.0069, accuracy 99.78, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:08 Evaluating..
2020-01-28 11:10 Predicted for 2001 examples.
2020-01-28 11:10 Done predicting in 95.40133500099182 seconds.
2020-01-28 11:10   Evaluation Accuracy: 95.65 Exact Match: 91.20  Target Accuracy:  0.00
2020-01-28 11:10 Iteration 00136100, loss   0.0076, accuracy 99.66, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:11 Iteration 00136200, loss   0.0138, accuracy 99.31, exact match 91.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:12 Iteration 00136300, loss   0.0098, accuracy 99.74, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:12 Iteration 00136400, loss   0.0141, accuracy 99.44, exact match 92.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:13 Iteration 00136500, loss   0.0122, accuracy 99.51, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:13 Iteration 00136600, loss   0.0186, accuracy 99.39, exact match 91.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:14 Iteration 00136700, loss   0.0172, accuracy 99.45, exact match 93.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:15 Iteration 00136800, loss   0.0127, accuracy 99.64, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:15 Iteration 00136900, loss   0.0112, accuracy 99.55, exact match 93.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:16 Iteration 00137000, loss   0.0074, accuracy 99.85, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:16 Evaluating..
2020-01-28 11:18 Predicted for 2001 examples.
2020-01-28 11:18 Done predicting in 95.40030574798584 seconds.
2020-01-28 11:18   Evaluation Accuracy: 96.26 Exact Match: 92.30  Target Accuracy:  0.00
2020-01-28 11:18 Iteration 00137100, loss   0.0165, accuracy 99.38, exact match 93.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:19 Iteration 00137200, loss   0.0134, accuracy 99.59, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:20 Iteration 00137300, loss   0.0103, accuracy 99.61, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-28 11:20 Iteration 00137400, loss   0.0061, accuracy 99.83, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:21 Iteration 00137500, loss   0.0135, accuracy 99.60, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:21 Iteration 00137600, loss   0.0101, accuracy 99.59, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:22 Iteration 00137700, loss   0.0113, accuracy 99.65, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:23 Iteration 00137800, loss   0.0131, accuracy 99.57, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:23 Iteration 00137900, loss   0.0131, accuracy 99.55, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:24 Iteration 00138000, loss   0.0123, accuracy 99.55, exact match 93.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:24 Evaluating..
2020-01-28 11:26 Predicted for 2001 examples.
2020-01-28 11:26 Done predicting in 95.3144702911377 seconds.
2020-01-28 11:26   Evaluation Accuracy: 95.68 Exact Match: 90.95  Target Accuracy:  0.00
2020-01-28 11:26 Iteration 00138100, loss   0.0125, accuracy 99.48, exact match 92.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:27 Iteration 00138200, loss   0.0104, accuracy 99.49, exact match 93.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:27 Iteration 00138300, loss   0.0082, accuracy 99.59, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:28 Iteration 00138400, loss   0.0135, accuracy 99.60, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:29 Iteration 00138500, loss   0.0162, accuracy 99.46, exact match 93.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:29 Iteration 00138600, loss   0.0115, accuracy 99.60, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:30 Iteration 00138700, loss   0.0093, accuracy 99.68, exact match 95.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:31 Iteration 00138800, loss   0.0122, accuracy 99.62, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:31 Iteration 00138900, loss   0.0178, accuracy 99.46, exact match 92.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:32 Iteration 00139000, loss   0.0195, accuracy 99.19, exact match 89.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:32 Evaluating..
2020-01-28 11:34 Predicted for 2001 examples.
2020-01-28 11:34 Done predicting in 95.24994421005249 seconds.
2020-01-28 11:34   Evaluation Accuracy: 95.86 Exact Match: 91.45  Target Accuracy:  0.00
2020-01-28 11:34 Iteration 00139100, loss   0.0086, accuracy 99.76, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:35 Iteration 00139200, loss   0.0157, accuracy 99.53, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:35 Iteration 00139300, loss   0.0113, accuracy 99.54, exact match 93.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:36 Iteration 00139400, loss   0.0122, accuracy 99.50, exact match 93.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:37 Iteration 00139500, loss   0.0109, accuracy 99.52, exact match 93.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:37 Iteration 00139600, loss   0.0102, accuracy 99.63, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:38 Iteration 00139700, loss   0.0093, accuracy 99.61, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:39 Iteration 00139800, loss   0.0178, accuracy 99.29, exact match 92.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:39 Iteration 00139900, loss   0.0213, accuracy 99.33, exact match 91.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:40 Iteration 00140000, loss   0.0112, accuracy 99.55, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:40 Evaluating..
2020-01-28 11:41 Predicted for 2001 examples.
2020-01-28 11:41 Done predicting in 95.41301345825195 seconds.
2020-01-28 11:41   Evaluation Accuracy: 96.02 Exact Match: 91.75  Target Accuracy:  0.00
2020-01-28 11:42 Iteration 00140100, loss   0.0124, accuracy 99.50, exact match 92.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:43 Iteration 00140200, loss   0.0144, accuracy 99.43, exact match 92.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:43 Iteration 00140300, loss   0.0342, accuracy 99.14, exact match 91.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:44 Iteration 00140400, loss   0.0128, accuracy 99.68, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:45 Iteration 00140500, loss   0.0100, accuracy 99.73, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:45 Iteration 00140600, loss   0.0203, accuracy 99.33, exact match 91.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:46 Iteration 00140700, loss   0.0082, accuracy 99.69, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:47 Iteration 00140800, loss   0.0124, accuracy 99.57, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:47 Iteration 00140900, loss   0.0095, accuracy 99.62, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:48 Iteration 00141000, loss   0.0137, accuracy 99.30, exact match 93.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:48 Evaluating..
2020-01-28 11:49 Predicted for 2001 examples.
2020-01-28 11:49 Done predicting in 95.62336587905884 seconds.
2020-01-28 11:49   Evaluation Accuracy: 95.27 Exact Match: 90.60  Target Accuracy:  0.00
2020-01-28 11:50 Iteration 00141100, loss   0.0101, accuracy 99.60, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:51 Iteration 00141200, loss   0.0106, accuracy 99.59, exact match 94.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:51 Iteration 00141300, loss   0.0131, accuracy 99.46, exact match 93.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-28 11:52 Iteration 00141400, loss   0.0135, accuracy 99.57, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:53 Iteration 00141500, loss   0.0079, accuracy 99.69, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:53 Iteration 00141600, loss   0.0150, accuracy 99.51, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:54 Iteration 00141700, loss   0.0126, accuracy 99.44, exact match 92.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:55 Iteration 00141800, loss   0.0128, accuracy 99.60, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:55 Iteration 00141900, loss   0.0115, accuracy 99.56, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:56 Iteration 00142000, loss   0.0096, accuracy 99.63, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:56 Evaluating..
2020-01-28 11:57 Predicted for 2001 examples.
2020-01-28 11:57 Done predicting in 95.14559078216553 seconds.
2020-01-28 11:57   Evaluation Accuracy: 96.17 Exact Match: 91.95  Target Accuracy:  0.00
2020-01-28 11:58 Iteration 00142100, loss   0.0094, accuracy 99.53, exact match 93.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:59 Iteration 00142200, loss   0.0092, accuracy 99.67, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 11:59 Iteration 00142300, loss   0.0106, accuracy 99.61, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:00 Iteration 00142400, loss   0.0123, accuracy 99.66, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:01 Iteration 00142500, loss   0.0109, accuracy 99.58, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:01 Iteration 00142600, loss   0.0151, accuracy 99.32, exact match 90.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:02 Iteration 00142700, loss   0.0124, accuracy 99.57, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:02 Iteration 00142800, loss   0.0156, accuracy 99.33, exact match 92.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:03 Iteration 00142900, loss   0.0112, accuracy 99.54, exact match 92.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:04 Iteration 00143000, loss   0.0171, accuracy 99.36, exact match 91.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:04 Evaluating..
2020-01-28 12:05 Predicted for 2001 examples.
2020-01-28 12:05 Done predicting in 95.52172493934631 seconds.
2020-01-28 12:05   Evaluation Accuracy: 96.17 Exact Match: 92.10  Target Accuracy:  0.00
2020-01-28 12:06 Iteration 00143100, loss   0.0151, accuracy 99.57, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:07 Iteration 00143200, loss   0.0126, accuracy 99.72, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:07 Iteration 00143300, loss   0.0120, accuracy 99.58, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:08 Iteration 00143400, loss   0.0142, accuracy 99.43, exact match 93.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:09 Iteration 00143500, loss   0.0105, accuracy 99.60, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:09 Iteration 00143600, loss   0.0123, accuracy 99.50, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:10 Iteration 00143700, loss   0.0117, accuracy 99.53, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:10 Iteration 00143800, loss   0.0174, accuracy 99.35, exact match 92.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:11 Iteration 00143900, loss   0.0108, accuracy 99.50, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:12 Iteration 00144000, loss   0.0093, accuracy 99.58, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:12 Evaluating..
2020-01-28 12:13 Predicted for 2001 examples.
2020-01-28 12:13 Done predicting in 95.38357496261597 seconds.
2020-01-28 12:13   Evaluation Accuracy: 95.53 Exact Match: 91.00  Target Accuracy:  0.00
2020-01-28 12:14 Iteration 00144100, loss   0.0108, accuracy 99.50, exact match 93.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:15 Iteration 00144200, loss   0.0100, accuracy 99.65, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:15 Iteration 00144300, loss   0.0112, accuracy 99.61, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:16 Iteration 00144400, loss   0.0099, accuracy 99.74, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:16 Iteration 00144500, loss   0.0106, accuracy 99.58, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:17 Iteration 00144600, loss   0.0088, accuracy 99.70, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:18 Iteration 00144700, loss   0.0109, accuracy 99.64, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:18 Iteration 00144800, loss   0.0115, accuracy 99.60, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:19 Iteration 00144900, loss   0.0085, accuracy 99.74, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:20 Iteration 00145000, loss   0.0115, accuracy 99.55, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:20 Evaluating..
2020-01-28 12:21 Predicted for 2001 examples.
2020-01-28 12:21 Done predicting in 95.34240412712097 seconds.
2020-01-28 12:21   Evaluation Accuracy: 96.01 Exact Match: 91.70  Target Accuracy:  0.00
2020-01-28 12:22 Iteration 00145100, loss   0.0073, accuracy 99.69, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:23 Iteration 00145200, loss   0.0114, accuracy 99.58, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:23 Iteration 00145300, loss   0.0121, accuracy 99.55, exact match 93.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-28 12:24 Iteration 00145400, loss   0.0139, accuracy 99.59, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:24 Iteration 00145500, loss   0.0118, accuracy 99.72, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:25 Iteration 00145600, loss   0.0105, accuracy 99.70, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:26 Iteration 00145700, loss   0.0082, accuracy 99.71, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:26 Iteration 00145800, loss   0.0087, accuracy 99.63, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:27 Iteration 00145900, loss   0.0128, accuracy 99.43, exact match 93.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:28 Iteration 00146000, loss   0.0134, accuracy 99.59, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:28 Evaluating..
2020-01-28 12:29 Predicted for 2001 examples.
2020-01-28 12:29 Done predicting in 95.43599009513855 seconds.
2020-01-28 12:29   Evaluation Accuracy: 96.05 Exact Match: 91.35  Target Accuracy:  0.00
2020-01-28 12:30 Iteration 00146100, loss   0.0090, accuracy 99.67, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:30 Iteration 00146200, loss   0.0086, accuracy 99.61, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:31 Iteration 00146300, loss   0.0083, accuracy 99.65, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:32 Iteration 00146400, loss   0.0122, accuracy 99.54, exact match 93.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:32 Iteration 00146500, loss   0.0090, accuracy 99.69, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:33 Iteration 00146600, loss   0.0212, accuracy 99.20, exact match 89.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:34 Iteration 00146700, loss   0.0108, accuracy 99.53, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:34 Iteration 00146800, loss   0.0105, accuracy 99.56, exact match 93.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:35 Iteration 00146900, loss   0.0095, accuracy 99.59, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:36 Iteration 00147000, loss   0.0100, accuracy 99.59, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:36 Evaluating..
2020-01-28 12:37 Predicted for 2001 examples.
2020-01-28 12:37 Done predicting in 95.46569156646729 seconds.
2020-01-28 12:37   Evaluation Accuracy: 96.05 Exact Match: 91.55  Target Accuracy:  0.00
2020-01-28 12:38 Iteration 00147100, loss   0.0156, accuracy 99.49, exact match 92.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:38 Iteration 00147200, loss   0.0110, accuracy 99.64, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:39 Iteration 00147300, loss   0.0178, accuracy 99.37, exact match 92.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:40 Iteration 00147400, loss   0.0086, accuracy 99.78, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:40 Iteration 00147500, loss   0.0176, accuracy 99.73, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:41 Iteration 00147600, loss   0.0081, accuracy 99.69, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:42 Iteration 00147700, loss   0.0128, accuracy 99.38, exact match 92.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:42 Iteration 00147800, loss   0.0086, accuracy 99.77, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:43 Iteration 00147900, loss   0.0116, accuracy 99.60, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:44 Iteration 00148000, loss   0.0096, accuracy 99.63, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:44 Evaluating..
2020-01-28 12:45 Predicted for 2001 examples.
2020-01-28 12:45 Done predicting in 95.51640462875366 seconds.
2020-01-28 12:45   Evaluation Accuracy: 96.09 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-28 12:46 Iteration 00148100, loss   0.0109, accuracy 99.62, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:46 Iteration 00148200, loss   0.0095, accuracy 99.72, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:47 Iteration 00148300, loss   0.0117, accuracy 99.48, exact match 93.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:48 Iteration 00148400, loss   0.0127, accuracy 99.47, exact match 93.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:48 Iteration 00148500, loss   0.0055, accuracy 99.73, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:49 Iteration 00148600, loss   0.0137, accuracy 99.51, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:50 Iteration 00148700, loss   0.0156, accuracy 99.50, exact match 93.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:50 Iteration 00148800, loss   0.0102, accuracy 99.49, exact match 93.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:51 Iteration 00148900, loss   0.0089, accuracy 99.59, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:52 Iteration 00149000, loss   0.0133, accuracy 99.46, exact match 93.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:52 Evaluating..
2020-01-28 12:53 Predicted for 2001 examples.
2020-01-28 12:53 Done predicting in 95.23533892631531 seconds.
2020-01-28 12:53   Evaluation Accuracy: 96.18 Exact Match: 91.95  Target Accuracy:  0.00
2020-01-28 12:54 Iteration 00149100, loss   0.0104, accuracy 99.71, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:54 Iteration 00149200, loss   0.0112, accuracy 99.63, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:55 Iteration 00149300, loss   0.0129, accuracy 99.59, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:56 Iteration 00149400, loss   0.0158, accuracy 99.44, exact match 92.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-28 12:56 Iteration 00149500, loss   0.0142, accuracy 99.57, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 12:57 Iteration 00149600, loss   0.0079, accuracy 99.65, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 12:58 Iteration 00149700, loss   0.0117, accuracy 99.49, exact match 93.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 12:58 Iteration 00149800, loss   0.0082, accuracy 99.72, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 12:59 Iteration 00149900, loss   0.0095, accuracy 99.65, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:00 Iteration 00150000, loss   0.0090, accuracy 99.80, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:00 Evaluating..
2020-01-28 13:01 Predicted for 2001 examples.
2020-01-28 13:01 Done predicting in 95.1495156288147 seconds.
2020-01-28 13:01   Evaluation Accuracy: 96.38 Exact Match: 92.40  Target Accuracy:  0.00
2020-01-28 13:02 Iteration 00150100, loss   0.0184, accuracy 99.34, exact match 91.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:02 Iteration 00150200, loss   0.0094, accuracy 99.73, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:03 Iteration 00150300, loss   0.0112, accuracy 99.50, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:04 Iteration 00150400, loss   0.0165, accuracy 99.53, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:04 Iteration 00150500, loss   0.0155, accuracy 99.45, exact match 93.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:05 Iteration 00150600, loss   0.0083, accuracy 99.74, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:06 Iteration 00150700, loss   0.0079, accuracy 99.77, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:06 Iteration 00150800, loss   0.0152, accuracy 99.45, exact match 93.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:07 Iteration 00150900, loss   0.0089, accuracy 99.73, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:07 Iteration 00151000, loss   0.0186, accuracy 99.21, exact match 89.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:07 Evaluating..
2020-01-28 13:09 Predicted for 2001 examples.
2020-01-28 13:09 Done predicting in 95.45777940750122 seconds.
2020-01-28 13:09   Evaluation Accuracy: 96.47 Exact Match: 92.55  Target Accuracy:  0.00
2020-01-28 13:10 Iteration 00151100, loss   0.0118, accuracy 99.47, exact match 93.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:10 Iteration 00151200, loss   0.0093, accuracy 99.76, exact match 96.24, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:11 Iteration 00151300, loss   0.0122, accuracy 99.59, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:12 Iteration 00151400, loss   0.0089, accuracy 99.67, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:12 Iteration 00151500, loss   0.0050, accuracy 99.97, exact match 99.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:13 Iteration 00151600, loss   0.0075, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:14 Iteration 00151700, loss   0.0092, accuracy 99.66, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:14 Iteration 00151800, loss   0.0179, accuracy 99.32, exact match 90.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:15 Iteration 00151900, loss   0.0137, accuracy 99.55, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:15 Iteration 00152000, loss   0.0183, accuracy 99.35, exact match 91.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:15 Evaluating..
2020-01-28 13:17 Predicted for 2001 examples.
2020-01-28 13:17 Done predicting in 95.12360286712646 seconds.
2020-01-28 13:17   Evaluation Accuracy: 96.09 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 13:18 Iteration 00152100, loss   0.0158, accuracy 99.42, exact match 93.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:18 Iteration 00152200, loss   0.0081, accuracy 99.71, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:19 Iteration 00152300, loss   0.0124, accuracy 99.51, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:20 Iteration 00152400, loss   0.0104, accuracy 99.58, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:20 Iteration 00152500, loss   0.0106, accuracy 99.66, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:21 Iteration 00152600, loss   0.0159, accuracy 99.46, exact match 93.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:21 Iteration 00152700, loss   0.0151, accuracy 99.28, exact match 89.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:22 Iteration 00152800, loss   0.0155, accuracy 99.28, exact match 92.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:23 Iteration 00152900, loss   0.0095, accuracy 99.62, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:23 Iteration 00153000, loss   0.0086, accuracy 99.78, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:23 Evaluating..
2020-01-28 13:25 Predicted for 2001 examples.
2020-01-28 13:25 Done predicting in 95.25041675567627 seconds.
2020-01-28 13:25   Evaluation Accuracy: 95.97 Exact Match: 91.55  Target Accuracy:  0.00
2020-01-28 13:26 Iteration 00153100, loss   0.0191, accuracy 99.26, exact match 90.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:26 Iteration 00153200, loss   0.0117, accuracy 99.43, exact match 92.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:27 Iteration 00153300, loss   0.0100, accuracy 99.75, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:28 Iteration 00153400, loss   0.0089, accuracy 99.56, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:28 Iteration 00153500, loss   0.0050, accuracy 99.84, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:29 Iteration 00153600, loss   0.0152, accuracy 99.51, exact match 93.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-28 13:29 Iteration 00153700, loss   0.0104, accuracy 99.65, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:30 Iteration 00153800, loss   0.0089, accuracy 99.69, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:31 Iteration 00153900, loss   0.0093, accuracy 99.65, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:31 Iteration 00154000, loss   0.0067, accuracy 99.72, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:31 Evaluating..
2020-01-28 13:33 Predicted for 2001 examples.
2020-01-28 13:33 Done predicting in 95.29927659034729 seconds.
2020-01-28 13:33   Evaluation Accuracy: 96.25 Exact Match: 92.10  Target Accuracy:  0.00
2020-01-28 13:34 Iteration 00154100, loss   0.0087, accuracy 99.75, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:34 Iteration 00154200, loss   0.0114, accuracy 99.57, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:35 Iteration 00154300, loss   0.0139, accuracy 99.53, exact match 94.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:35 Iteration 00154400, loss   0.0103, accuracy 99.44, exact match 92.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:36 Iteration 00154500, loss   0.0126, accuracy 99.57, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:37 Iteration 00154600, loss   0.0151, accuracy 99.31, exact match 91.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:37 Iteration 00154700, loss   0.0058, accuracy 99.83, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:38 Iteration 00154800, loss   0.0080, accuracy 99.72, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:39 Iteration 00154900, loss   0.0095, accuracy 99.67, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:39 Iteration 00155000, loss   0.0087, accuracy 99.69, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:39 Evaluating..
2020-01-28 13:41 Predicted for 2001 examples.
2020-01-28 13:41 Done predicting in 95.23810076713562 seconds.
2020-01-28 13:41   Evaluation Accuracy: 95.90 Exact Match: 91.75  Target Accuracy:  0.00
2020-01-28 13:42 Iteration 00155100, loss   0.0123, accuracy 99.50, exact match 93.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:42 Iteration 00155200, loss   0.0101, accuracy 99.64, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:43 Iteration 00155300, loss   0.0074, accuracy 99.71, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:43 Iteration 00155400, loss   0.0126, accuracy 99.50, exact match 94.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:44 Iteration 00155500, loss   0.0125, accuracy 99.58, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:45 Iteration 00155600, loss   0.0147, accuracy 99.40, exact match 92.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:45 Iteration 00155700, loss   0.0117, accuracy 99.58, exact match 94.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:46 Iteration 00155800, loss   0.0106, accuracy 99.67, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:47 Iteration 00155900, loss   0.0073, accuracy 99.75, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:47 Iteration 00156000, loss   0.0091, accuracy 99.61, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:47 Evaluating..
2020-01-28 13:49 Predicted for 2001 examples.
2020-01-28 13:49 Done predicting in 95.47095656394958 seconds.
2020-01-28 13:49   Evaluation Accuracy: 95.89 Exact Match: 91.75  Target Accuracy:  0.00
2020-01-28 13:49 Iteration 00156100, loss   0.0114, accuracy 99.48, exact match 93.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:50 Iteration 00156200, loss   0.0045, accuracy 99.89, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:51 Iteration 00156300, loss   0.0059, accuracy 99.81, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:51 Iteration 00156400, loss   0.0138, accuracy 99.59, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:52 Iteration 00156500, loss   0.0160, accuracy 99.48, exact match 93.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:53 Iteration 00156600, loss   0.0073, accuracy 99.70, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:53 Iteration 00156700, loss   0.0091, accuracy 99.82, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:54 Iteration 00156800, loss   0.0135, accuracy 99.50, exact match 93.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:55 Iteration 00156900, loss   0.0074, accuracy 99.73, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:55 Iteration 00157000, loss   0.0088, accuracy 99.69, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:55 Evaluating..
2020-01-28 13:57 Predicted for 2001 examples.
2020-01-28 13:57 Done predicting in 95.27646446228027 seconds.
2020-01-28 13:57   Evaluation Accuracy: 96.27 Exact Match: 92.55  Target Accuracy:  0.00
2020-01-28 13:57 Iteration 00157100, loss   0.0109, accuracy 99.49, exact match 93.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:58 Iteration 00157200, loss   0.0118, accuracy 99.49, exact match 93.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:59 Iteration 00157300, loss   0.0126, accuracy 99.45, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 13:59 Iteration 00157400, loss   0.0115, accuracy 99.58, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:00 Iteration 00157500, loss   0.0058, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:01 Iteration 00157600, loss   0.0173, accuracy 99.52, exact match 92.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:01 Iteration 00157700, loss   0.0128, accuracy 99.54, exact match 93.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:02 Iteration 00157800, loss   0.0132, accuracy 99.54, exact match 93.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:03 Iteration 00157900, loss   0.0113, accuracy 99.63, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:03 Iteration 00158000, loss   0.0077, accuracy 99.75, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-28 14:03 Evaluating..
2020-01-28 14:05 Predicted for 2001 examples.
2020-01-28 14:05 Done predicting in 95.25107049942017 seconds.
2020-01-28 14:05   Evaluation Accuracy: 96.11 Exact Match: 91.70  Target Accuracy:  0.00
2020-01-28 14:05 Iteration 00158100, loss   0.0078, accuracy 99.65, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:06 Iteration 00158200, loss   0.0099, accuracy 99.60, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:07 Iteration 00158300, loss   0.0133, accuracy 99.64, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:07 Iteration 00158400, loss   0.0058, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:08 Iteration 00158500, loss   0.0159, accuracy 99.44, exact match 92.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:09 Iteration 00158600, loss   0.0100, accuracy 99.53, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:09 Iteration 00158700, loss   0.0121, accuracy 99.48, exact match 92.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:10 Iteration 00158800, loss   0.0103, accuracy 99.60, exact match 93.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:11 Iteration 00158900, loss   0.0123, accuracy 99.60, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:11 Iteration 00159000, loss   0.0084, accuracy 99.72, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:11 Evaluating..
2020-01-28 14:13 Predicted for 2001 examples.
2020-01-28 14:13 Done predicting in 95.47803664207458 seconds.
2020-01-28 14:13   Evaluation Accuracy: 96.12 Exact Match: 92.25  Target Accuracy:  0.00
2020-01-28 14:13 Iteration 00159100, loss   0.0106, accuracy 99.51, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:14 Iteration 00159200, loss   0.0087, accuracy 99.53, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:15 Iteration 00159300, loss   0.0063, accuracy 99.69, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:15 Iteration 00159400, loss   0.0078, accuracy 99.75, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:16 Iteration 00159500, loss   0.0087, accuracy 99.64, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:17 Iteration 00159600, loss   0.0080, accuracy 99.70, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:17 Iteration 00159700, loss   0.0095, accuracy 99.77, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:18 Iteration 00159800, loss   0.0162, accuracy 99.40, exact match 92.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:18 Iteration 00159900, loss   0.0088, accuracy 99.54, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:19 Iteration 00160000, loss   0.0089, accuracy 99.61, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:19 Evaluating..
2020-01-28 14:21 Predicted for 2001 examples.
2020-01-28 14:21 Done predicting in 95.84171628952026 seconds.
2020-01-28 14:21   Evaluation Accuracy: 96.21 Exact Match: 91.85  Target Accuracy:  0.00
2020-01-28 14:21 Iteration 00160100, loss   0.0086, accuracy 99.62, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:22 Iteration 00160200, loss   0.0091, accuracy 99.70, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:23 Iteration 00160300, loss   0.0123, accuracy 99.36, exact match 91.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:23 Iteration 00160400, loss   0.0153, accuracy 99.44, exact match 92.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:24 Iteration 00160500, loss   0.0119, accuracy 99.51, exact match 93.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:25 Iteration 00160600, loss   0.0117, accuracy 99.62, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:25 Iteration 00160700, loss   0.0107, accuracy 99.63, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:26 Iteration 00160800, loss   0.0146, accuracy 99.52, exact match 93.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:26 Iteration 00160900, loss   0.0132, accuracy 99.50, exact match 93.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:27 Iteration 00161000, loss   0.0079, accuracy 99.68, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:27 Evaluating..
2020-01-28 14:29 Predicted for 2001 examples.
2020-01-28 14:29 Done predicting in 95.55518579483032 seconds.
2020-01-28 14:29   Evaluation Accuracy: 96.12 Exact Match: 92.00  Target Accuracy:  0.00
2020-01-28 14:29 Iteration 00161100, loss   0.0144, accuracy 99.44, exact match 93.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:30 Iteration 00161200, loss   0.0080, accuracy 99.67, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:31 Iteration 00161300, loss   0.0114, accuracy 99.62, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:31 Iteration 00161400, loss   0.0092, accuracy 99.61, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:32 Iteration 00161500, loss   0.0081, accuracy 99.57, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:32 Iteration 00161600, loss   0.0088, accuracy 99.69, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:33 Iteration 00161700, loss   0.0096, accuracy 99.74, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:34 Iteration 00161800, loss   0.0100, accuracy 99.57, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:34 Iteration 00161900, loss   0.0115, accuracy 99.65, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:35 Iteration 00162000, loss   0.0110, accuracy 99.62, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:35 Evaluating..
2020-01-28 14:37 Predicted for 2001 examples.
2020-01-28 14:37 Done predicting in 95.19583892822266 seconds.
2020-01-28 14:37   Evaluation Accuracy: 96.35 Exact Match: 92.65  Target Accuracy:  0.00
2020-01-28 14:37 Iteration 00162100, loss   0.0095, accuracy 99.63, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:38 Iteration 00162200, loss   0.0117, accuracy 99.55, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:39 Iteration 00162300, loss   0.0112, accuracy 99.57, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:39 Iteration 00162400, loss   0.0132, accuracy 99.53, exact match 93.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-28 14:40 Iteration 00162500, loss   0.0081, accuracy 99.69, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:40 Iteration 00162600, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:41 Iteration 00162700, loss   0.0088, accuracy 99.70, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:42 Iteration 00162800, loss   0.0099, accuracy 99.65, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:42 Iteration 00162900, loss   0.0133, accuracy 99.56, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:43 Iteration 00163000, loss   0.0142, accuracy 99.39, exact match 92.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:43 Evaluating..
2020-01-28 14:45 Predicted for 2001 examples.
2020-01-28 14:45 Done predicting in 95.54537534713745 seconds.
2020-01-28 14:45   Evaluation Accuracy: 96.26 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 14:45 Iteration 00163100, loss   0.0106, accuracy 99.76, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:46 Iteration 00163200, loss   0.0107, accuracy 99.60, exact match 94.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:46 Iteration 00163300, loss   0.0072, accuracy 99.61, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:47 Iteration 00163400, loss   0.0155, accuracy 99.62, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:48 Iteration 00163500, loss   0.0092, accuracy 99.70, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:48 Iteration 00163600, loss   0.0093, accuracy 99.59, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:49 Iteration 00163700, loss   0.0155, accuracy 99.29, exact match 91.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:50 Iteration 00163800, loss   0.0112, accuracy 99.58, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:50 Iteration 00163900, loss   0.0149, accuracy 99.57, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:51 Iteration 00164000, loss   0.0149, accuracy 99.44, exact match 93.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:51 Evaluating..
2020-01-28 14:53 Predicted for 2001 examples.
2020-01-28 14:53 Done predicting in 95.79345726966858 seconds.
2020-01-28 14:53   Evaluation Accuracy: 95.69 Exact Match: 90.90  Target Accuracy:  0.00
2020-01-28 14:53 Iteration 00164100, loss   0.0111, accuracy 99.50, exact match 93.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:54 Iteration 00164200, loss   0.0063, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:54 Iteration 00164300, loss   0.0129, accuracy 99.48, exact match 92.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:55 Iteration 00164400, loss   0.0082, accuracy 99.71, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:56 Iteration 00164500, loss   0.0104, accuracy 99.71, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:56 Iteration 00164600, loss   0.0094, accuracy 99.65, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:57 Iteration 00164700, loss   0.0072, accuracy 99.65, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:58 Iteration 00164800, loss   0.0139, accuracy 99.43, exact match 93.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:58 Iteration 00164900, loss   0.0087, accuracy 99.68, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:59 Iteration 00165000, loss   0.0070, accuracy 99.75, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 14:59 Evaluating..
2020-01-28 15:01 Predicted for 2001 examples.
2020-01-28 15:01 Done predicting in 95.58645701408386 seconds.
2020-01-28 15:01   Evaluation Accuracy: 96.18 Exact Match: 92.00  Target Accuracy:  0.00
2020-01-28 15:01 Iteration 00165100, loss   0.0106, accuracy 99.46, exact match 93.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:02 Iteration 00165200, loss   0.0128, accuracy 99.54, exact match 93.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:02 Iteration 00165300, loss   0.0088, accuracy 99.64, exact match 94.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:03 Iteration 00165400, loss   0.0093, accuracy 99.54, exact match 93.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:04 Iteration 00165500, loss   0.0100, accuracy 99.57, exact match 93.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:04 Iteration 00165600, loss   0.0152, accuracy 99.30, exact match 91.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:05 Iteration 00165700, loss   0.0110, accuracy 99.53, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:06 Iteration 00165800, loss   0.0123, accuracy 99.59, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:06 Iteration 00165900, loss   0.0118, accuracy 99.74, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:07 Iteration 00166000, loss   0.0102, accuracy 99.45, exact match 92.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:07 Evaluating..
2020-01-28 15:08 Predicted for 2001 examples.
2020-01-28 15:08 Done predicting in 95.21605277061462 seconds.
2020-01-28 15:08   Evaluation Accuracy: 96.24 Exact Match: 92.35  Target Accuracy:  0.00
2020-01-28 15:09 Iteration 00166100, loss   0.0084, accuracy 99.69, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:10 Iteration 00166200, loss   0.0139, accuracy 99.53, exact match 93.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:10 Iteration 00166300, loss   0.0100, accuracy 99.63, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:11 Iteration 00166400, loss   0.0134, accuracy 99.41, exact match 92.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:12 Iteration 00166500, loss   0.0150, accuracy 99.50, exact match 93.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:12 Iteration 00166600, loss   0.0126, accuracy 99.53, exact match 93.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:13 Iteration 00166700, loss   0.0057, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:14 Iteration 00166800, loss   0.0115, accuracy 99.50, exact match 94.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:14 Iteration 00166900, loss   0.0111, accuracy 99.71, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-28 15:15 Iteration 00167000, loss   0.0099, accuracy 99.78, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:15 Evaluating..
2020-01-28 15:16 Predicted for 2001 examples.
2020-01-28 15:16 Done predicting in 95.0404679775238 seconds.
2020-01-28 15:16   Evaluation Accuracy: 95.92 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-28 15:17 Iteration 00167100, loss   0.0076, accuracy 99.66, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:18 Iteration 00167200, loss   0.0093, accuracy 99.67, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:18 Iteration 00167300, loss   0.0122, accuracy 99.45, exact match 93.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:19 Iteration 00167400, loss   0.0149, accuracy 99.47, exact match 93.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:20 Iteration 00167500, loss   0.0074, accuracy 99.77, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:20 Iteration 00167600, loss   0.0147, accuracy 99.48, exact match 93.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:21 Iteration 00167700, loss   0.0080, accuracy 99.64, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:21 Iteration 00167800, loss   0.0076, accuracy 99.80, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:22 Iteration 00167900, loss   0.0131, accuracy 99.64, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:23 Iteration 00168000, loss   0.0091, accuracy 99.63, exact match 95.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:23 Evaluating..
2020-01-28 15:24 Predicted for 2001 examples.
2020-01-28 15:24 Done predicting in 95.45546579360962 seconds.
2020-01-28 15:24   Evaluation Accuracy: 96.31 Exact Match: 92.55  Target Accuracy:  0.00
2020-01-28 15:25 Iteration 00168100, loss   0.0129, accuracy 99.46, exact match 93.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:26 Iteration 00168200, loss   0.0169, accuracy 99.49, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:26 Iteration 00168300, loss   0.0077, accuracy 99.73, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:27 Iteration 00168400, loss   0.0226, accuracy 99.41, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:28 Iteration 00168500, loss   0.0084, accuracy 99.73, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:28 Iteration 00168600, loss   0.0099, accuracy 99.68, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:29 Iteration 00168700, loss   0.0099, accuracy 99.59, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:29 Iteration 00168800, loss   0.0093, accuracy 99.55, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:30 Iteration 00168900, loss   0.0130, accuracy 99.60, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:31 Iteration 00169000, loss   0.0106, accuracy 99.62, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:31 Evaluating..
2020-01-28 15:32 Predicted for 2001 examples.
2020-01-28 15:32 Done predicting in 95.18214583396912 seconds.
2020-01-28 15:32   Evaluation Accuracy: 96.42 Exact Match: 92.85  Target Accuracy:  0.00
2020-01-28 15:33 Iteration 00169100, loss   0.0079, accuracy 99.69, exact match 95.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:34 Iteration 00169200, loss   0.0183, accuracy 99.51, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:34 Iteration 00169300, loss   0.0134, accuracy 99.58, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:35 Iteration 00169400, loss   0.0088, accuracy 99.76, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:36 Iteration 00169500, loss   0.0088, accuracy 99.75, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:36 Iteration 00169600, loss   0.0166, accuracy 99.37, exact match 91.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:37 Iteration 00169700, loss   0.0089, accuracy 99.75, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:37 Iteration 00169800, loss   0.0074, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:38 Iteration 00169900, loss   0.0141, accuracy 99.50, exact match 94.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:39 Iteration 00170000, loss   0.0124, accuracy 99.53, exact match 94.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:39 Evaluating..
2020-01-28 15:40 Predicted for 2001 examples.
2020-01-28 15:40 Done predicting in 95.58896827697754 seconds.
2020-01-28 15:40   Evaluation Accuracy: 96.05 Exact Match: 92.00  Target Accuracy:  0.00
2020-01-28 15:41 Iteration 00170100, loss   0.0092, accuracy 99.64, exact match 95.49, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:42 Iteration 00170200, loss   0.0109, accuracy 99.67, exact match 95.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:42 Iteration 00170300, loss   0.0078, accuracy 99.69, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:43 Iteration 00170400, loss   0.0123, accuracy 99.55, exact match 94.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:43 Iteration 00170500, loss   0.0088, accuracy 99.58, exact match 94.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:44 Iteration 00170600, loss   0.0098, accuracy 99.63, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:45 Iteration 00170700, loss   0.0107, accuracy 99.52, exact match 93.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:45 Iteration 00170800, loss   0.0109, accuracy 99.72, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:46 Iteration 00170900, loss   0.0182, accuracy 99.46, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:47 Iteration 00171000, loss   0.0104, accuracy 99.60, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:47 Evaluating..
2020-01-28 15:48 Predicted for 2001 examples.
2020-01-28 15:48 Done predicting in 95.9427261352539 seconds.
2020-01-28 15:48   Evaluation Accuracy: 96.06 Exact Match: 92.15  Target Accuracy:  0.00
2020-01-28 15:49 Iteration 00171100, loss   0.0103, accuracy 99.62, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:50 Iteration 00171200, loss   0.0171, accuracy 99.17, exact match 90.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:50 Iteration 00171300, loss   0.0092, accuracy 99.73, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:51 Iteration 00171400, loss   0.0108, accuracy 99.65, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:51 Iteration 00171500, loss   0.0123, accuracy 99.49, exact match 93.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-28 15:52 Iteration 00171600, loss   0.0051, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:53 Iteration 00171700, loss   0.0085, accuracy 99.66, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:53 Iteration 00171800, loss   0.0090, accuracy 99.63, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:54 Iteration 00171900, loss   0.0057, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:55 Iteration 00172000, loss   0.0097, accuracy 99.60, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:55 Evaluating..
2020-01-28 15:56 Predicted for 2001 examples.
2020-01-28 15:56 Done predicting in 95.20373940467834 seconds.
2020-01-28 15:56   Evaluation Accuracy: 96.21 Exact Match: 92.10  Target Accuracy:  0.00
2020-01-28 15:57 Iteration 00172100, loss   0.0089, accuracy 99.62, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:57 Iteration 00172200, loss   0.0115, accuracy 99.64, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:58 Iteration 00172300, loss   0.0124, accuracy 99.48, exact match 94.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:59 Iteration 00172400, loss   0.0058, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 15:59 Iteration 00172500, loss   0.0067, accuracy 99.78, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:00 Iteration 00172600, loss   0.0132, accuracy 99.58, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:01 Iteration 00172700, loss   0.0111, accuracy 99.55, exact match 93.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:01 Iteration 00172800, loss   0.0084, accuracy 99.69, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:02 Iteration 00172900, loss   0.0077, accuracy 99.62, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:03 Iteration 00173000, loss   0.0078, accuracy 99.75, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:03 Evaluating..
2020-01-28 16:04 Predicted for 2001 examples.
2020-01-28 16:04 Done predicting in 95.53226447105408 seconds.
2020-01-28 16:04   Evaluation Accuracy: 95.92 Exact Match: 91.50  Target Accuracy:  0.00
2020-01-28 16:05 Iteration 00173100, loss   0.0149, accuracy 99.45, exact match 92.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:05 Iteration 00173200, loss   0.0129, accuracy 99.48, exact match 93.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:06 Iteration 00173300, loss   0.0113, accuracy 99.55, exact match 93.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:07 Iteration 00173400, loss   0.0110, accuracy 99.66, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:07 Iteration 00173500, loss   0.0129, accuracy 99.50, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:08 Iteration 00173600, loss   0.0126, accuracy 99.58, exact match 94.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:09 Iteration 00173700, loss   0.0104, accuracy 99.55, exact match 94.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:09 Iteration 00173800, loss   0.0067, accuracy 99.84, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:10 Iteration 00173900, loss   0.0064, accuracy 99.82, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:11 Iteration 00174000, loss   0.0081, accuracy 99.70, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:11 Evaluating..
2020-01-28 16:12 Predicted for 2001 examples.
2020-01-28 16:12 Done predicting in 95.51403880119324 seconds.
2020-01-28 16:12   Evaluation Accuracy: 96.38 Exact Match: 92.60  Target Accuracy:  0.00
2020-01-28 16:13 Iteration 00174100, loss   0.0105, accuracy 99.57, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:13 Iteration 00174200, loss   0.0086, accuracy 99.69, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:14 Iteration 00174300, loss   0.0110, accuracy 99.66, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:15 Iteration 00174400, loss   0.0087, accuracy 99.69, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:15 Iteration 00174500, loss   0.0109, accuracy 99.60, exact match 94.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:16 Iteration 00174600, loss   0.0114, accuracy 99.55, exact match 94.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:17 Iteration 00174700, loss   0.0109, accuracy 99.69, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:17 Iteration 00174800, loss   0.0114, accuracy 99.55, exact match 93.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:18 Iteration 00174900, loss   0.0098, accuracy 99.64, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:19 Iteration 00175000, loss   0.0066, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:19 Evaluating..
2020-01-28 16:20 Predicted for 2001 examples.
2020-01-28 16:20 Done predicting in 95.78721261024475 seconds.
2020-01-28 16:20   Evaluation Accuracy: 96.16 Exact Match: 92.40  Target Accuracy:  0.00
2020-01-28 16:21 Iteration 00175100, loss   0.0089, accuracy 99.73, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:21 Iteration 00175200, loss   0.0110, accuracy 99.45, exact match 92.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:22 Iteration 00175300, loss   0.0066, accuracy 99.65, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:23 Iteration 00175400, loss   0.0137, accuracy 99.50, exact match 93.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:23 Iteration 00175500, loss   0.0091, accuracy 99.66, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:24 Iteration 00175600, loss   0.0182, accuracy 99.31, exact match 91.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:25 Iteration 00175700, loss   0.0099, accuracy 99.72, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:25 Iteration 00175800, loss   0.0150, accuracy 99.60, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:26 Iteration 00175900, loss   0.0083, accuracy 99.59, exact match 94.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:26 Iteration 00176000, loss   0.0112, accuracy 99.56, exact match 93.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:26 Evaluating..
2020-01-28 16:28 Predicted for 2001 examples.
2020-01-28 16:28 Done predicting in 95.52893352508545 seconds.
2020-01-28 16:28   Evaluation Accuracy: 96.19 Exact Match: 92.25  Target Accuracy:  0.00
2020-01-28 16:29 Iteration 00176100, loss   0.0070, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:29 Iteration 00176200, loss   0.0098, accuracy 99.65, exact match 95.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:30 Iteration 00176300, loss   0.0111, accuracy 99.47, exact match 93.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-28 16:31 Iteration 00176400, loss   0.0130, accuracy 99.50, exact match 94.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:31 Iteration 00176500, loss   0.0111, accuracy 99.62, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:32 Iteration 00176600, loss   0.0103, accuracy 99.53, exact match 94.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:33 Iteration 00176700, loss   0.0111, accuracy 99.64, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:33 Iteration 00176800, loss   0.0107, accuracy 99.61, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:34 Iteration 00176900, loss   0.0092, accuracy 99.65, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:34 Iteration 00177000, loss   0.0084, accuracy 99.69, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:34 Evaluating..
2020-01-28 16:36 Predicted for 2001 examples.
2020-01-28 16:36 Done predicting in 95.33523511886597 seconds.
2020-01-28 16:36   Evaluation Accuracy: 95.97 Exact Match: 91.75  Target Accuracy:  0.00
2020-01-28 16:37 Iteration 00177100, loss   0.0076, accuracy 99.70, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:37 Iteration 00177200, loss   0.0038, accuracy 99.88, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:38 Iteration 00177300, loss   0.0081, accuracy 99.73, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:39 Iteration 00177400, loss   0.0088, accuracy 99.63, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:39 Iteration 00177500, loss   0.0139, accuracy 99.54, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:40 Iteration 00177600, loss   0.0101, accuracy 99.50, exact match 92.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:40 Iteration 00177700, loss   0.0059, accuracy 99.81, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:41 Iteration 00177800, loss   0.0107, accuracy 99.58, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:42 Iteration 00177900, loss   0.0105, accuracy 99.67, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:42 Iteration 00178000, loss   0.0068, accuracy 99.68, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:42 Evaluating..
2020-01-28 16:44 Predicted for 2001 examples.
2020-01-28 16:44 Done predicting in 95.82599091529846 seconds.
2020-01-28 16:44   Evaluation Accuracy: 95.90 Exact Match: 91.50  Target Accuracy:  0.00
2020-01-28 16:45 Iteration 00178100, loss   0.0131, accuracy 99.53, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:45 Iteration 00178200, loss   0.0088, accuracy 99.58, exact match 93.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:46 Iteration 00178300, loss   0.0058, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:47 Iteration 00178400, loss   0.0118, accuracy 99.60, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:47 Iteration 00178500, loss   0.0107, accuracy 99.70, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:48 Iteration 00178600, loss   0.0068, accuracy 99.78, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:48 Iteration 00178700, loss   0.0087, accuracy 99.72, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:49 Iteration 00178800, loss   0.0140, accuracy 99.50, exact match 93.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:50 Iteration 00178900, loss   0.0038, accuracy 99.90, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:50 Iteration 00179000, loss   0.0088, accuracy 99.67, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:50 Evaluating..
2020-01-28 16:52 Predicted for 2001 examples.
2020-01-28 16:52 Done predicting in 95.44088196754456 seconds.
2020-01-28 16:52   Evaluation Accuracy: 96.27 Exact Match: 92.20  Target Accuracy:  0.00
2020-01-28 16:53 Iteration 00179100, loss   0.0103, accuracy 99.68, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:53 Iteration 00179200, loss   0.0079, accuracy 99.73, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:54 Iteration 00179300, loss   0.0128, accuracy 99.43, exact match 93.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:54 Iteration 00179400, loss   0.0084, accuracy 99.64, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:55 Iteration 00179500, loss   0.0123, accuracy 99.54, exact match 94.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:56 Iteration 00179600, loss   0.0084, accuracy 99.65, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:56 Iteration 00179700, loss   0.0043, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:57 Iteration 00179800, loss   0.0107, accuracy 99.61, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:58 Iteration 00179900, loss   0.0086, accuracy 99.62, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:58 Iteration 00180000, loss   0.0086, accuracy 99.65, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 16:58 Evaluating..
2020-01-28 17:00 Predicted for 2001 examples.
2020-01-28 17:00 Done predicting in 95.28600406646729 seconds.
2020-01-28 17:00   Evaluation Accuracy: 96.10 Exact Match: 92.10  Target Accuracy:  0.00
2020-01-28 17:01 Iteration 00180100, loss   0.0081, accuracy 99.72, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:01 Iteration 00180200, loss   0.0137, accuracy 99.57, exact match 94.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:02 Iteration 00180300, loss   0.0071, accuracy 99.84, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:02 Iteration 00180400, loss   0.0084, accuracy 99.57, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:03 Iteration 00180500, loss   0.0171, accuracy 99.59, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:04 Iteration 00180600, loss   0.0130, accuracy 99.60, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:04 Iteration 00180700, loss   0.0119, accuracy 99.61, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:05 Iteration 00180800, loss   0.0066, accuracy 99.77, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:06 Iteration 00180900, loss   0.0064, accuracy 99.66, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:06 Iteration 00181000, loss   0.0106, accuracy 99.60, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:06 Evaluating..
2020-01-28 17:08 Predicted for 2001 examples.
2020-01-28 17:08 Done predicting in 95.45673155784607 seconds.
2020-01-28 17:08   Evaluation Accuracy: 96.09 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 17:09 Iteration 00181100, loss   0.0143, accuracy 99.65, exact match 95.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-28 17:09 Iteration 00181200, loss   0.0076, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:10 Iteration 00181300, loss   0.0106, accuracy 99.55, exact match 94.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:10 Iteration 00181400, loss   0.0153, accuracy 99.48, exact match 93.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:11 Iteration 00181500, loss   0.0082, accuracy 99.67, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:12 Iteration 00181600, loss   0.0083, accuracy 99.74, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:12 Iteration 00181700, loss   0.0114, accuracy 99.63, exact match 95.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:13 Iteration 00181800, loss   0.0085, accuracy 99.71, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:14 Iteration 00181900, loss   0.0112, accuracy 99.64, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:14 Iteration 00182000, loss   0.0084, accuracy 99.63, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:14 Evaluating..
2020-01-28 17:16 Predicted for 2001 examples.
2020-01-28 17:16 Done predicting in 95.39149808883667 seconds.
2020-01-28 17:16   Evaluation Accuracy: 96.23 Exact Match: 92.35  Target Accuracy:  0.00
2020-01-28 17:16 Iteration 00182100, loss   0.0093, accuracy 99.57, exact match 93.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:17 Iteration 00182200, loss   0.0128, accuracy 99.58, exact match 94.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:18 Iteration 00182300, loss   0.0115, accuracy 99.61, exact match 94.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:18 Iteration 00182400, loss   0.0109, accuracy 99.55, exact match 94.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:19 Iteration 00182500, loss   0.0090, accuracy 99.73, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:20 Iteration 00182600, loss   0.0085, accuracy 99.76, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:20 Iteration 00182700, loss   0.0072, accuracy 99.66, exact match 95.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:21 Iteration 00182800, loss   0.0088, accuracy 99.78, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:22 Iteration 00182900, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:22 Iteration 00183000, loss   0.0146, accuracy 99.39, exact match 91.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:22 Evaluating..
2020-01-28 17:24 Predicted for 2001 examples.
2020-01-28 17:24 Done predicting in 95.52865839004517 seconds.
2020-01-28 17:24   Evaluation Accuracy: 96.04 Exact Match: 92.05  Target Accuracy:  0.00
2020-01-28 17:24 Iteration 00183100, loss   0.0059, accuracy 99.70, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:25 Iteration 00183200, loss   0.0087, accuracy 99.74, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:26 Iteration 00183300, loss   0.0090, accuracy 99.62, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:26 Iteration 00183400, loss   0.0097, accuracy 99.71, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:27 Iteration 00183500, loss   0.0062, accuracy 99.81, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:28 Iteration 00183600, loss   0.0084, accuracy 99.77, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:28 Iteration 00183700, loss   0.0102, accuracy 99.60, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:29 Iteration 00183800, loss   0.0070, accuracy 99.70, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:30 Iteration 00183900, loss   0.0096, accuracy 99.59, exact match 94.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:30 Iteration 00184000, loss   0.0091, accuracy 99.60, exact match 94.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:30 Evaluating..
2020-01-28 17:32 Predicted for 2001 examples.
2020-01-28 17:32 Done predicting in 95.34519505500793 seconds.
2020-01-28 17:32   Evaluation Accuracy: 96.45 Exact Match: 92.85  Target Accuracy:  0.00
2020-01-28 17:32 Iteration 00184100, loss   0.0169, accuracy 99.46, exact match 94.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:33 Iteration 00184200, loss   0.0040, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:34 Iteration 00184300, loss   0.0097, accuracy 99.60, exact match 94.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:34 Iteration 00184400, loss   0.0075, accuracy 99.70, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:35 Iteration 00184500, loss   0.0117, accuracy 99.68, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:36 Iteration 00184600, loss   0.0072, accuracy 99.74, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:36 Iteration 00184700, loss   0.0078, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:37 Iteration 00184800, loss   0.0115, accuracy 99.66, exact match 95.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:37 Iteration 00184900, loss   0.0079, accuracy 99.72, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:38 Iteration 00185000, loss   0.0093, accuracy 99.60, exact match 94.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:38 Evaluating..
2020-01-28 17:40 Predicted for 2001 examples.
2020-01-28 17:40 Done predicting in 95.56183815002441 seconds.
2020-01-28 17:40   Evaluation Accuracy: 96.05 Exact Match: 91.70  Target Accuracy:  0.00
2020-01-28 17:40 Iteration 00185100, loss   0.0076, accuracy 99.74, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:41 Iteration 00185200, loss   0.0068, accuracy 99.78, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:42 Iteration 00185300, loss   0.0114, accuracy 99.59, exact match 94.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:42 Iteration 00185400, loss   0.0045, accuracy 99.81, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:43 Iteration 00185500, loss   0.0125, accuracy 99.50, exact match 93.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:44 Iteration 00185600, loss   0.0084, accuracy 99.69, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:44 Iteration 00185700, loss   0.0112, accuracy 99.49, exact match 93.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:45 Iteration 00185800, loss   0.0058, accuracy 99.71, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:45 Iteration 00185900, loss   0.0097, accuracy 99.52, exact match 93.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:46 Iteration 00186000, loss   0.0133, accuracy 99.45, exact match 93.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:46 Evaluating..
2020-01-28 17:48 Predicted for 2001 examples.
2020-01-28 17:48 Done predicting in 95.38634252548218 seconds.
2020-01-28 17:48   Evaluation Accuracy: 95.88 Exact Match: 91.90  Target Accuracy:  0.00
2020-01-28 17:48 Iteration 00186100, loss   0.0094, accuracy 99.62, exact match 95.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-28 17:49 Iteration 00186200, loss   0.0106, accuracy 99.62, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:50 Iteration 00186300, loss   0.0060, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:50 Iteration 00186400, loss   0.0088, accuracy 99.66, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:51 Iteration 00186500, loss   0.0121, accuracy 99.40, exact match 92.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:52 Iteration 00186600, loss   0.0065, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:52 Iteration 00186700, loss   0.0111, accuracy 99.61, exact match 94.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:53 Iteration 00186800, loss   0.0117, accuracy 99.44, exact match 92.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:53 Iteration 00186900, loss   0.0137, accuracy 99.57, exact match 94.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:54 Iteration 00187000, loss   0.0093, accuracy 99.52, exact match 92.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:54 Evaluating..
2020-01-28 17:56 Predicted for 2001 examples.
2020-01-28 17:56 Done predicting in 95.56277322769165 seconds.
2020-01-28 17:56   Evaluation Accuracy: 95.85 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-28 17:56 Iteration 00187100, loss   0.0113, accuracy 99.66, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:57 Iteration 00187200, loss   0.0084, accuracy 99.67, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:58 Iteration 00187300, loss   0.0125, accuracy 99.58, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:58 Iteration 00187400, loss   0.0144, accuracy 99.60, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:59 Iteration 00187500, loss   0.0131, accuracy 99.62, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 17:59 Iteration 00187600, loss   0.0059, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:00 Iteration 00187700, loss   0.0089, accuracy 99.60, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:01 Iteration 00187800, loss   0.0105, accuracy 99.63, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:01 Iteration 00187900, loss   0.0144, accuracy 99.47, exact match 93.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:02 Iteration 00188000, loss   0.0089, accuracy 99.63, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:02 Evaluating..
2020-01-28 18:04 Predicted for 2001 examples.
2020-01-28 18:04 Done predicting in 95.59739112854004 seconds.
2020-01-28 18:04   Evaluation Accuracy: 96.39 Exact Match: 92.85  Target Accuracy:  0.00
2020-01-28 18:04 Iteration 00188100, loss   0.0124, accuracy 99.43, exact match 92.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:05 Iteration 00188200, loss   0.0059, accuracy 99.73, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:06 Iteration 00188300, loss   0.0079, accuracy 99.66, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:06 Iteration 00188400, loss   0.0092, accuracy 99.59, exact match 94.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:07 Iteration 00188500, loss   0.0149, accuracy 99.37, exact match 93.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:07 Iteration 00188600, loss   0.0075, accuracy 99.73, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:08 Iteration 00188700, loss   0.0063, accuracy 99.78, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:09 Iteration 00188800, loss   0.0114, accuracy 99.50, exact match 93.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:09 Iteration 00188900, loss   0.0095, accuracy 99.67, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:10 Iteration 00189000, loss   0.0108, accuracy 99.55, exact match 93.23, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:10 Evaluating..
2020-01-28 18:12 Predicted for 2001 examples.
2020-01-28 18:12 Done predicting in 95.54965209960938 seconds.
2020-01-28 18:12   Evaluation Accuracy: 96.29 Exact Match: 92.50  Target Accuracy:  0.00
2020-01-28 18:12 Iteration 00189100, loss   0.0086, accuracy 99.74, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:13 Iteration 00189200, loss   0.0081, accuracy 99.60, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:13 Iteration 00189300, loss   0.0071, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:14 Iteration 00189400, loss   0.0112, accuracy 99.47, exact match 92.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:15 Iteration 00189500, loss   0.0126, accuracy 99.58, exact match 93.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:15 Iteration 00189600, loss   0.0119, accuracy 99.54, exact match 93.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:16 Iteration 00189700, loss   0.0097, accuracy 99.67, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:17 Iteration 00189800, loss   0.0078, accuracy 99.80, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:17 Iteration 00189900, loss   0.0094, accuracy 99.60, exact match 94.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:18 Iteration 00190000, loss   0.0075, accuracy 99.69, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:18 Evaluating..
2020-01-28 18:20 Predicted for 2001 examples.
2020-01-28 18:20 Done predicting in 95.66079115867615 seconds.
2020-01-28 18:20   Evaluation Accuracy: 96.00 Exact Match: 92.20  Target Accuracy:  0.00
2020-01-28 18:20 Iteration 00190100, loss   0.0120, accuracy 99.58, exact match 94.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:21 Iteration 00190200, loss   0.0093, accuracy 99.69, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:21 Iteration 00190300, loss   0.0149, accuracy 99.61, exact match 94.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:22 Iteration 00190400, loss   0.0112, accuracy 99.56, exact match 93.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:23 Iteration 00190500, loss   0.0204, accuracy 99.21, exact match 91.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:23 Iteration 00190600, loss   0.0074, accuracy 99.69, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:24 Iteration 00190700, loss   0.0088, accuracy 99.65, exact match 95.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:25 Iteration 00190800, loss   0.0078, accuracy 99.84, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:25 Iteration 00190900, loss   0.0080, accuracy 99.65, exact match 95.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:26 Iteration 00191000, loss   0.0071, accuracy 99.66, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:26 Evaluating..
2020-01-28 18:27 Predicted for 2001 examples.
2020-01-28 18:27 Done predicting in 95.64623618125916 seconds.
2020-01-28 18:27   Evaluation Accuracy: 96.13 Exact Match: 92.10  Target Accuracy:  0.00
2020-01-28 18:28 Iteration 00191100, loss   0.0086, accuracy 99.50, exact match 93.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:29 Iteration 00191200, loss   0.0083, accuracy 99.48, exact match 93.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:29 Iteration 00191300, loss   0.0102, accuracy 99.74, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-28 18:30 Iteration 00191400, loss   0.0070, accuracy 99.73, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:31 Iteration 00191500, loss   0.0123, accuracy 99.51, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:31 Iteration 00191600, loss   0.0065, accuracy 99.68, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:32 Iteration 00191700, loss   0.0071, accuracy 99.70, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:33 Iteration 00191800, loss   0.0104, accuracy 99.64, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:33 Iteration 00191900, loss   0.0065, accuracy 99.71, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:34 Iteration 00192000, loss   0.0120, accuracy 99.50, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:34 Evaluating..
2020-01-28 18:35 Predicted for 2001 examples.
2020-01-28 18:35 Done predicting in 95.28179144859314 seconds.
2020-01-28 18:35   Evaluation Accuracy: 95.84 Exact Match: 91.60  Target Accuracy:  0.00
2020-01-28 18:36 Iteration 00192100, loss   0.0109, accuracy 99.53, exact match 93.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:37 Iteration 00192200, loss   0.0083, accuracy 99.70, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:37 Iteration 00192300, loss   0.0140, accuracy 99.56, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:38 Iteration 00192400, loss   0.0120, accuracy 99.60, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:39 Iteration 00192500, loss   0.0060, accuracy 99.73, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:39 Iteration 00192600, loss   0.0111, accuracy 99.54, exact match 93.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:40 Iteration 00192700, loss   0.0090, accuracy 99.66, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:41 Iteration 00192800, loss   0.0083, accuracy 99.64, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:41 Iteration 00192900, loss   0.0085, accuracy 99.62, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:42 Iteration 00193000, loss   0.0104, accuracy 99.67, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:42 Evaluating..
2020-01-28 18:43 Predicted for 2001 examples.
2020-01-28 18:43 Done predicting in 95.68916916847229 seconds.
2020-01-28 18:43   Evaluation Accuracy: 95.80 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-28 18:44 Iteration 00193100, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:45 Iteration 00193200, loss   0.0143, accuracy 99.51, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:45 Iteration 00193300, loss   0.0050, accuracy 99.71, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:46 Iteration 00193400, loss   0.0091, accuracy 99.61, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:47 Iteration 00193500, loss   0.0100, accuracy 99.72, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:47 Iteration 00193600, loss   0.0088, accuracy 99.68, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:48 Iteration 00193700, loss   0.0131, accuracy 99.55, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:49 Iteration 00193800, loss   0.0058, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:49 Iteration 00193900, loss   0.0073, accuracy 99.68, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:50 Iteration 00194000, loss   0.0105, accuracy 99.59, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:50 Evaluating..
2020-01-28 18:51 Predicted for 2001 examples.
2020-01-28 18:51 Done predicting in 95.8079674243927 seconds.
2020-01-28 18:51   Evaluation Accuracy: 96.03 Exact Match: 91.90  Target Accuracy:  0.00
2020-01-28 18:52 Iteration 00194100, loss   0.0121, accuracy 99.64, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:53 Iteration 00194200, loss   0.0085, accuracy 99.74, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:53 Iteration 00194300, loss   0.0093, accuracy 99.73, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:54 Iteration 00194400, loss   0.0115, accuracy 99.53, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:55 Iteration 00194500, loss   0.0086, accuracy 99.75, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:55 Iteration 00194600, loss   0.0133, accuracy 99.45, exact match 93.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:56 Iteration 00194700, loss   0.0111, accuracy 99.57, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:56 Iteration 00194800, loss   0.0055, accuracy 99.79, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:57 Iteration 00194900, loss   0.0072, accuracy 99.72, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:58 Iteration 00195000, loss   0.0081, accuracy 99.66, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 18:58 Evaluating..
2020-01-28 18:59 Predicted for 2001 examples.
2020-01-28 18:59 Done predicting in 95.79612135887146 seconds.
2020-01-28 18:59   Evaluation Accuracy: 95.80 Exact Match: 91.90  Target Accuracy:  0.00
2020-01-28 19:00 Iteration 00195100, loss   0.0079, accuracy 99.63, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:01 Iteration 00195200, loss   0.0060, accuracy 99.85, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:01 Iteration 00195300, loss   0.0086, accuracy 99.76, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:02 Iteration 00195400, loss   0.0099, accuracy 99.64, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:03 Iteration 00195500, loss   0.0099, accuracy 99.71, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:03 Iteration 00195600, loss   0.0095, accuracy 99.62, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:04 Iteration 00195700, loss   0.0144, accuracy 99.49, exact match 94.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:04 Iteration 00195800, loss   0.0108, accuracy 99.51, exact match 93.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:05 Iteration 00195900, loss   0.0084, accuracy 99.70, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:06 Iteration 00196000, loss   0.0096, accuracy 99.52, exact match 93.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:06 Evaluating..
2020-01-28 19:07 Predicted for 2001 examples.
2020-01-28 19:07 Done predicting in 95.76697278022766 seconds.
2020-01-28 19:07   Evaluation Accuracy: 95.82 Exact Match: 91.45  Target Accuracy:  0.00
2020-01-28 19:08 Iteration 00196100, loss   0.0180, accuracy 99.39, exact match 92.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:09 Iteration 00196200, loss   0.0064, accuracy 99.71, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:09 Iteration 00196300, loss   0.0086, accuracy 99.61, exact match 94.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:10 Iteration 00196400, loss   0.0099, accuracy 99.51, exact match 93.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:11 Iteration 00196500, loss   0.0057, accuracy 99.82, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-28 19:11 Iteration 00196600, loss   0.0107, accuracy 99.56, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:12 Iteration 00196700, loss   0.0045, accuracy 99.90, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:12 Iteration 00196800, loss   0.0067, accuracy 99.63, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:13 Iteration 00196900, loss   0.0179, accuracy 99.53, exact match 93.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:14 Iteration 00197000, loss   0.0065, accuracy 99.76, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:14 Evaluating..
2020-01-28 19:15 Predicted for 2001 examples.
2020-01-28 19:15 Done predicting in 95.56658458709717 seconds.
2020-01-28 19:15   Evaluation Accuracy: 95.74 Exact Match: 91.40  Target Accuracy:  0.00
2020-01-28 19:16 Iteration 00197100, loss   0.0095, accuracy 99.50, exact match 94.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:17 Iteration 00197200, loss   0.0070, accuracy 99.72, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:17 Iteration 00197300, loss   0.0095, accuracy 99.69, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:18 Iteration 00197400, loss   0.0096, accuracy 99.59, exact match 93.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:18 Iteration 00197500, loss   0.0049, accuracy 99.83, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:19 Iteration 00197600, loss   0.0102, accuracy 99.70, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:20 Iteration 00197700, loss   0.0058, accuracy 99.73, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:20 Iteration 00197800, loss   0.0055, accuracy 99.86, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:21 Iteration 00197900, loss   0.0099, accuracy 99.77, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:22 Iteration 00198000, loss   0.0113, accuracy 99.62, exact match 94.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:22 Evaluating..
2020-01-28 19:23 Predicted for 2001 examples.
2020-01-28 19:23 Done predicting in 95.67813682556152 seconds.
2020-01-28 19:23   Evaluation Accuracy: 95.93 Exact Match: 91.80  Target Accuracy:  0.00
2020-01-28 19:24 Iteration 00198100, loss   0.0089, accuracy 99.67, exact match 95.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:25 Iteration 00198200, loss   0.0075, accuracy 99.60, exact match 94.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:25 Iteration 00198300, loss   0.0100, accuracy 99.60, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:26 Iteration 00198400, loss   0.0101, accuracy 99.64, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:26 Iteration 00198500, loss   0.0100, accuracy 99.54, exact match 93.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:27 Iteration 00198600, loss   0.0087, accuracy 99.64, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:28 Iteration 00198700, loss   0.0065, accuracy 99.69, exact match 95.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:28 Iteration 00198800, loss   0.0067, accuracy 99.79, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:29 Iteration 00198900, loss   0.0082, accuracy 99.69, exact match 95.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:30 Iteration 00199000, loss   0.0065, accuracy 99.80, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:30 Evaluating..
2020-01-28 19:31 Predicted for 2001 examples.
2020-01-28 19:31 Done predicting in 95.45929765701294 seconds.
2020-01-28 19:31   Evaluation Accuracy: 96.36 Exact Match: 92.70  Target Accuracy:  0.00
2020-01-28 19:32 Iteration 00199100, loss   0.0131, accuracy 99.65, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:33 Iteration 00199200, loss   0.0049, accuracy 99.75, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:33 Iteration 00199300, loss   0.0112, accuracy 99.61, exact match 94.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:34 Iteration 00199400, loss   0.0046, accuracy 99.83, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:34 Iteration 00199500, loss   0.0069, accuracy 99.68, exact match 95.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:35 Iteration 00199600, loss   0.0120, accuracy 99.60, exact match 94.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:36 Iteration 00199700, loss   0.0104, accuracy 99.60, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:36 Iteration 00199800, loss   0.0069, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:37 Iteration 00199900, loss   0.0134, accuracy 99.44, exact match 92.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:38 Iteration 00200000, loss   0.0072, accuracy 99.64, exact match 95.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-28 19:38 Evaluating..
2020-01-28 19:39 Predicted for 2001 examples.
2020-01-28 19:39 Done predicting in 95.67633652687073 seconds.
2020-01-28 19:39   Evaluation Accuracy: 96.17 Exact Match: 92.05  Target Accuracy:  0.00
2020-01-28 19:39 Finished training.
