2020-02-03 02:10 Using CUDA.
2020-02-03 02:10 Cuda version: 10.1.243
2020-02-03 02:10 mode: train
2020-02-03 02:10 output_directory: target_lengths_run_1_largefilter
2020-02-03 02:10 resume_from_file: 
2020-02-03 02:10 split: test
2020-02-03 02:10 data_directory: data/target_length_split
2020-02-03 02:10 input_vocab_path: training_input_vocab.txt
2020-02-03 02:10 target_vocab_path: training_target_vocab.txt
2020-02-03 02:10 generate_vocabularies: False
2020-02-03 02:10 training_batch_size: 200
2020-02-03 02:10 k: 0
2020-02-03 02:10 test_batch_size: 1
2020-02-03 02:10 max_training_examples: None
2020-02-03 02:10 learning_rate: 0.001
2020-02-03 02:10 lr_decay: 0.9
2020-02-03 02:10 lr_decay_steps: 20000
2020-02-03 02:10 adam_beta_1: 0.9
2020-02-03 02:10 adam_beta_2: 0.999
2020-02-03 02:10 print_every: 100
2020-02-03 02:10 evaluate_every: 1000
2020-02-03 02:10 max_training_iterations: 200000
2020-02-03 02:10 weight_target_loss: 0.3
2020-02-03 02:10 max_testing_examples: 2000
2020-02-03 02:10 splits: test
2020-02-03 02:10 max_decoding_steps: 120
2020-02-03 02:10 output_file_name: predict.json
2020-02-03 02:10 simple_situation_representation: True
2020-02-03 02:10 cnn_hidden_num_channels: 50
2020-02-03 02:10 cnn_kernel_size: 13
2020-02-03 02:10 cnn_dropout_p: 0.1
2020-02-03 02:10 auxiliary_task: False
2020-02-03 02:10 embedding_dimension: 25
2020-02-03 02:10 num_encoder_layers: 1
2020-02-03 02:10 encoder_hidden_size: 100
2020-02-03 02:10 encoder_dropout_p: 0.3
2020-02-03 02:10 encoder_bidirectional: True
2020-02-03 02:10 num_decoder_layers: 1
2020-02-03 02:10 attention_type: bahdanau
2020-02-03 02:10 decoder_dropout_p: 0.3
2020-02-03 02:10 decoder_hidden_size: 100
2020-02-03 02:10 conditional_attention: True
2020-02-03 02:10 seed: 106
2020-02-03 02:10 Loading Training set...
2020-02-03 02:11 Verb-adverb combinations in training set: 
2020-02-03 02:11 Verbs for adverb: 
2020-02-03 02:11    walk: 81562 occurrences.
2020-02-03 02:11    push: 63447 occurrences.
2020-02-03 02:11    pull: 35292 occurrences.
2020-02-03 02:11 Verb-adverb combinations in dev set: 
2020-02-03 02:11 Verbs for adverb: 
2020-02-03 02:11    push: 706 occurrences.
2020-02-03 02:11    pull: 348 occurrences.
2020-02-03 02:11    walk: 767 occurrences.
2020-02-03 02:11 Loading vocabularies...
2020-02-03 02:11 Done loading vocabularies.
2020-02-03 02:11 Converting dataset to tensors...
2020-02-03 02:25 Done Loading Training set.
2020-02-03 02:25   Loaded 180301 training examples.
2020-02-03 02:25   Input vocabulary size training set: 17
2020-02-03 02:25   Most common input words: [('a', 180301), ('walk', 81562), ('to', 81562), ('push', 63447), ('circle', 60161)]
2020-02-03 02:25   Output vocabulary size training set: 8
2020-02-03 02:25   Most common target words: [('walk', 1146271), ('turn left', 193667), ('push', 164112), ('pull', 156127), ('turn right', 68849)]
2020-02-03 02:25 Loading Test set...
2020-02-03 02:26 Verb-adverb combinations in training set: 
2020-02-03 02:26 Verbs for adverb: 
2020-02-03 02:26    walk: 81562 occurrences.
2020-02-03 02:26    push: 63447 occurrences.
2020-02-03 02:26    pull: 35292 occurrences.
2020-02-03 02:26 Verb-adverb combinations in dev set: 
2020-02-03 02:26 Verbs for adverb: 
2020-02-03 02:26    push: 706 occurrences.
2020-02-03 02:26    pull: 348 occurrences.
2020-02-03 02:26    walk: 767 occurrences.
2020-02-03 02:26 Loading vocabularies...
2020-02-03 02:26 Done loading vocabularies.
2020-02-03 02:26 Converting dataset to tensors...
2020-02-03 02:26 Done Loading Test set.
2020-02-03 02:26 Total parameters: 535975
2020-02-03 02:26 situation_encoder.conv_1.weight : [50, 16, 1, 1]
2020-02-03 02:26 situation_encoder.conv_1.bias : [50]
2020-02-03 02:26 situation_encoder.conv_2.weight : [50, 16, 5, 5]
2020-02-03 02:26 situation_encoder.conv_2.bias : [50]
2020-02-03 02:26 situation_encoder.conv_3.weight : [50, 16, 13, 13]
2020-02-03 02:26 situation_encoder.conv_3.bias : [50]
2020-02-03 02:26 visual_attention.key_layer.weight : [100, 150]
2020-02-03 02:26 visual_attention.query_layer.weight : [100, 100]
2020-02-03 02:26 visual_attention.energy_layer.weight : [1, 100]
2020-02-03 02:26 encoder.embedding.weight : [17, 25]
2020-02-03 02:26 encoder.lstm.weight_ih_l0 : [400, 25]
2020-02-03 02:26 encoder.lstm.weight_hh_l0 : [400, 100]
2020-02-03 02:26 encoder.lstm.bias_ih_l0 : [400]
2020-02-03 02:26 encoder.lstm.bias_hh_l0 : [400]
2020-02-03 02:26 encoder.lstm.weight_ih_l0_reverse : [400, 25]
2020-02-03 02:26 encoder.lstm.weight_hh_l0_reverse : [400, 100]
2020-02-03 02:26 encoder.lstm.bias_ih_l0_reverse : [400]
2020-02-03 02:26 encoder.lstm.bias_hh_l0_reverse : [400]
2020-02-03 02:26 enc_hidden_to_dec_hidden.weight : [100, 100]
2020-02-03 02:26 enc_hidden_to_dec_hidden.bias : [100]
2020-02-03 02:26 textual_attention.key_layer.weight : [100, 100]
2020-02-03 02:26 textual_attention.query_layer.weight : [100, 100]
2020-02-03 02:26 textual_attention.energy_layer.weight : [1, 100]
2020-02-03 02:26 attention_decoder.queries_to_keys.weight : [100, 200]
2020-02-03 02:26 attention_decoder.queries_to_keys.bias : [100]
2020-02-03 02:26 attention_decoder.embedding.weight : [8, 100]
2020-02-03 02:26 attention_decoder.lstm.weight_ih_l0 : [400, 300]
2020-02-03 02:26 attention_decoder.lstm.weight_hh_l0 : [400, 100]
2020-02-03 02:26 attention_decoder.lstm.bias_ih_l0 : [400]
2020-02-03 02:26 attention_decoder.lstm.bias_hh_l0 : [400]
2020-02-03 02:26 attention_decoder.output_to_hidden.weight : [100, 400]
2020-02-03 02:26 attention_decoder.hidden_to_output.weight : [8, 100]
2020-02-03 02:26 Training starts..
2020-02-03 02:26 Iteration 00000100, loss   0.6439, accuracy 75.43, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:27 Iteration 00000200, loss   0.6063, accuracy 77.29, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:27 Iteration 00000300, loss   0.5700, accuracy 78.74, exact match  0.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:27 Iteration 00000400, loss   0.5389, accuracy 79.03, exact match  2.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:27 Iteration 00000500, loss   0.5254, accuracy 79.64, exact match  1.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:28 Iteration 00000600, loss   0.5145, accuracy 79.85, exact match  3.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:28 Iteration 00000700, loss   0.5133, accuracy 79.21, exact match  4.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:28 Iteration 00000800, loss   0.4885, accuracy 80.75, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:29 Iteration 00000900, loss   0.4833, accuracy 80.59, exact match  6.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 02:29 Iteration 00001000, loss   0.4942, accuracy 79.02, exact match  3.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:29 Evaluating..
2020-02-03 02:30 Predicted for 1821 examples.
2020-02-03 02:30 Done predicting in 78.55898404121399 seconds.
2020-02-03 02:30   Evaluation Accuracy: 56.97 Exact Match:  4.89  Target Accuracy:  0.00
2020-02-03 02:30 Iteration 00001100, loss   0.4671, accuracy 81.19, exact match  5.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:31 Iteration 00001200, loss   0.4633, accuracy 81.28, exact match  4.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:31 Iteration 00001300, loss   0.4655, accuracy 80.82, exact match  6.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:31 Iteration 00001400, loss   0.4434, accuracy 81.63, exact match  6.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:32 Iteration 00001500, loss   0.4740, accuracy 81.48, exact match  6.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:32 Iteration 00001600, loss   0.4361, accuracy 80.75, exact match  6.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:32 Iteration 00001700, loss   0.4369, accuracy 82.07, exact match  8.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:32 Iteration 00001800, loss   0.4559, accuracy 81.84, exact match  9.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:33 Iteration 00001900, loss   0.3811, accuracy 84.35, exact match  8.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:33 Iteration 00002000, loss   0.4081, accuracy 83.89, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:33 Evaluating..
2020-02-03 02:34 Predicted for 1821 examples.
2020-02-03 02:34 Done predicting in 76.09309983253479 seconds.
2020-02-03 02:34   Evaluation Accuracy: 58.64 Exact Match: 10.27  Target Accuracy:  0.00
2020-02-03 02:34 Iteration 00002100, loss   0.3953, accuracy 83.41, exact match  9.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:35 Iteration 00002200, loss   0.3992, accuracy 83.33, exact match 12.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:35 Iteration 00002300, loss   0.4116, accuracy 83.07, exact match 10.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:35 Iteration 00002400, loss   0.4115, accuracy 83.09, exact match  7.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:36 Iteration 00002500, loss   0.4009, accuracy 83.51, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:36 Iteration 00002600, loss   0.4012, accuracy 84.13, exact match 13.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:36 Iteration 00002700, loss   0.3998, accuracy 83.15, exact match 13.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:36 Iteration 00002800, loss   0.3917, accuracy 83.33, exact match 15.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 02:37 Iteration 00002900, loss   0.3954, accuracy 83.96, exact match 11.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:37 Iteration 00003000, loss   0.3888, accuracy 83.38, exact match 13.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:37 Evaluating..
2020-02-03 02:38 Predicted for 1821 examples.
2020-02-03 02:38 Done predicting in 72.7318069934845 seconds.
2020-02-03 02:38   Evaluation Accuracy: 60.87 Exact Match: 15.76  Target Accuracy:  0.00
2020-02-03 02:38 Iteration 00003100, loss   0.3725, accuracy 84.41, exact match 16.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:39 Iteration 00003200, loss   0.3789, accuracy 84.11, exact match 16.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:39 Iteration 00003300, loss   0.3708, accuracy 84.37, exact match 11.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:39 Iteration 00003400, loss   0.3775, accuracy 84.30, exact match 16.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:40 Iteration 00003500, loss   0.3323, accuracy 85.90, exact match 19.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:40 Iteration 00003600, loss   0.3626, accuracy 84.54, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:40 Iteration 00003700, loss   0.3553, accuracy 84.72, exact match 12.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:40 Iteration 00003800, loss   0.3641, accuracy 84.89, exact match 10.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:41 Iteration 00003900, loss   0.3617, accuracy 84.78, exact match 17.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:41 Iteration 00004000, loss   0.3367, accuracy 85.95, exact match 16.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:41 Evaluating..
2020-02-03 02:42 Predicted for 1821 examples.
2020-02-03 02:42 Done predicting in 72.0848867893219 seconds.
2020-02-03 02:42   Evaluation Accuracy: 62.25 Exact Match: 19.66  Target Accuracy:  0.00
2020-02-03 02:42 Iteration 00004100, loss   0.3624, accuracy 85.15, exact match 16.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:43 Iteration 00004200, loss   0.3422, accuracy 85.71, exact match 19.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:43 Iteration 00004300, loss   0.3303, accuracy 86.26, exact match 19.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:43 Iteration 00004400, loss   0.3614, accuracy 84.65, exact match 20.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:44 Iteration 00004500, loss   0.3378, accuracy 86.24, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:44 Iteration 00004600, loss   0.3195, accuracy 86.09, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:44 Iteration 00004700, loss   0.3269, accuracy 86.75, exact match 20.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:44 Iteration 00004800, loss   0.3176, accuracy 86.63, exact match 19.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 02:45 Iteration 00004900, loss   0.3297, accuracy 86.84, exact match 18.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:45 Iteration 00005000, loss   0.3440, accuracy 85.82, exact match 17.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:45 Evaluating..
2020-02-03 02:46 Predicted for 1821 examples.
2020-02-03 02:46 Done predicting in 71.8146059513092 seconds.
2020-02-03 02:46   Evaluation Accuracy: 62.09 Exact Match: 20.21  Target Accuracy:  0.00
2020-02-03 02:46 Iteration 00005100, loss   0.3251, accuracy 87.14, exact match 22.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:47 Iteration 00005200, loss   0.3278, accuracy 86.15, exact match 19.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:47 Iteration 00005300, loss   0.3317, accuracy 86.94, exact match 23.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:47 Iteration 00005400, loss   0.3346, accuracy 86.75, exact match 23.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:48 Iteration 00005500, loss   0.3249, accuracy 86.19, exact match 20.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:48 Iteration 00005600, loss   0.3373, accuracy 85.40, exact match 20.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:48 Iteration 00005700, loss   0.3198, accuracy 86.74, exact match 19.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:48 Iteration 00005800, loss   0.3385, accuracy 86.24, exact match 20.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:49 Iteration 00005900, loss   0.3118, accuracy 86.94, exact match 17.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:49 Iteration 00006000, loss   0.3010, accuracy 87.48, exact match 22.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:49 Evaluating..
2020-02-03 02:50 Predicted for 1821 examples.
2020-02-03 02:50 Done predicting in 67.99444031715393 seconds.
2020-02-03 02:50   Evaluation Accuracy: 63.62 Exact Match: 23.67  Target Accuracy:  0.00
2020-02-03 02:50 Iteration 00006100, loss   0.3181, accuracy 86.61, exact match 21.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:51 Iteration 00006200, loss   0.3229, accuracy 86.08, exact match 20.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:51 Iteration 00006300, loss   0.2752, accuracy 88.88, exact match 29.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:51 Iteration 00006400, loss   0.2973, accuracy 87.51, exact match 23.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:51 Iteration 00006500, loss   0.2863, accuracy 88.17, exact match 23.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:52 Iteration 00006600, loss   0.3028, accuracy 87.22, exact match 23.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:52 Iteration 00006700, loss   0.3025, accuracy 87.24, exact match 29.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 02:52 Iteration 00006800, loss   0.2877, accuracy 88.29, exact match 23.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:52 Iteration 00006900, loss   0.3077, accuracy 86.82, exact match 25.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:53 Iteration 00007000, loss   0.2943, accuracy 87.84, exact match 25.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:53 Evaluating..
2020-02-03 02:54 Predicted for 1821 examples.
2020-02-03 02:54 Done predicting in 68.83217787742615 seconds.
2020-02-03 02:54   Evaluation Accuracy: 63.41 Exact Match: 23.89  Target Accuracy:  0.00
2020-02-03 02:54 Iteration 00007100, loss   0.2938, accuracy 87.63, exact match 19.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:54 Iteration 00007200, loss   0.2813, accuracy 88.16, exact match 26.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:55 Iteration 00007300, loss   0.2802, accuracy 89.01, exact match 28.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:55 Iteration 00007400, loss   0.2939, accuracy 87.52, exact match 21.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:55 Iteration 00007500, loss   0.3034, accuracy 87.44, exact match 20.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:56 Iteration 00007600, loss   0.2916, accuracy 88.17, exact match 26.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:56 Iteration 00007700, loss   0.2919, accuracy 87.21, exact match 21.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:56 Iteration 00007800, loss   0.2769, accuracy 88.32, exact match 27.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:56 Iteration 00007900, loss   0.3094, accuracy 87.41, exact match 22.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:57 Iteration 00008000, loss   0.2859, accuracy 88.80, exact match 31.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:57 Evaluating..
2020-02-03 02:58 Predicted for 1821 examples.
2020-02-03 02:58 Done predicting in 68.03142404556274 seconds.
2020-02-03 02:58   Evaluation Accuracy: 65.41 Exact Match: 28.45  Target Accuracy:  0.00
2020-02-03 02:58 Iteration 00008100, loss   0.3027, accuracy 87.02, exact match 22.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:58 Iteration 00008200, loss   0.2844, accuracy 88.06, exact match 27.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:59 Iteration 00008300, loss   0.2598, accuracy 88.68, exact match 27.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:59 Iteration 00008400, loss   0.2495, accuracy 90.77, exact match 35.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:59 Iteration 00008500, loss   0.2780, accuracy 88.11, exact match 28.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 02:59 Iteration 00008600, loss   0.2579, accuracy 88.86, exact match 29.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 03:00 Iteration 00008700, loss   0.2626, accuracy 89.49, exact match 30.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 03:00 Iteration 00008800, loss   0.2879, accuracy 87.55, exact match 26.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:00 Iteration 00008900, loss   0.2575, accuracy 89.22, exact match 32.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:01 Iteration 00009000, loss   0.2641, accuracy 89.60, exact match 31.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:01 Evaluating..
2020-02-03 03:02 Predicted for 1821 examples.
2020-02-03 03:02 Done predicting in 67.29290771484375 seconds.
2020-02-03 03:02   Evaluation Accuracy: 71.68 Exact Match: 37.12  Target Accuracy:  0.00
2020-02-03 03:02 Iteration 00009100, loss   0.2548, accuracy 89.59, exact match 35.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:02 Iteration 00009200, loss   0.2550, accuracy 89.91, exact match 35.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:03 Iteration 00009300, loss   0.2285, accuracy 90.33, exact match 34.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:03 Iteration 00009400, loss   0.2235, accuracy 90.70, exact match 37.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:03 Iteration 00009500, loss   0.2483, accuracy 90.27, exact match 38.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:03 Iteration 00009600, loss   0.2163, accuracy 91.00, exact match 39.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:04 Iteration 00009700, loss   0.2147, accuracy 91.59, exact match 43.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:04 Iteration 00009800, loss   0.2274, accuracy 90.52, exact match 38.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:04 Iteration 00009900, loss   0.2193, accuracy 91.30, exact match 44.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:04 Iteration 00010000, loss   0.2176, accuracy 90.98, exact match 43.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:04 Evaluating..
2020-02-03 03:06 Predicted for 1821 examples.
2020-02-03 03:06 Done predicting in 65.81811928749084 seconds.
2020-02-03 03:06   Evaluation Accuracy: 74.73 Exact Match: 42.61  Target Accuracy:  0.00
2020-02-03 03:06 Iteration 00010100, loss   0.2329, accuracy 90.56, exact match 40.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:06 Iteration 00010200, loss   0.2163, accuracy 91.05, exact match 46.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:06 Iteration 00010300, loss   0.2204, accuracy 91.10, exact match 40.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:07 Iteration 00010400, loss   0.2201, accuracy 90.88, exact match 38.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:07 Iteration 00010500, loss   0.2047, accuracy 91.41, exact match 43.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:07 Iteration 00010600, loss   0.1923, accuracy 92.56, exact match 46.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:07 Iteration 00010700, loss   0.1830, accuracy 92.02, exact match 49.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 03:08 Iteration 00010800, loss   0.2204, accuracy 90.46, exact match 40.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:08 Iteration 00010900, loss   0.1862, accuracy 92.39, exact match 48.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:08 Iteration 00011000, loss   0.1994, accuracy 92.32, exact match 45.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:08 Evaluating..
2020-02-03 03:09 Predicted for 1821 examples.
2020-02-03 03:09 Done predicting in 64.94172978401184 seconds.
2020-02-03 03:09   Evaluation Accuracy: 78.72 Exact Match: 48.82  Target Accuracy:  0.00
2020-02-03 03:10 Iteration 00011100, loss   0.1966, accuracy 92.39, exact match 46.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:10 Iteration 00011200, loss   0.2087, accuracy 92.25, exact match 46.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:10 Iteration 00011300, loss   0.1986, accuracy 91.63, exact match 42.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:10 Iteration 00011400, loss   0.1882, accuracy 92.56, exact match 48.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:11 Iteration 00011500, loss   0.1725, accuracy 93.25, exact match 52.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:11 Iteration 00011600, loss   0.1835, accuracy 92.87, exact match 52.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:11 Iteration 00011700, loss   0.1493, accuracy 94.38, exact match 57.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:12 Iteration 00011800, loss   0.1768, accuracy 92.87, exact match 50.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:12 Iteration 00011900, loss   0.1811, accuracy 92.89, exact match 47.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:12 Iteration 00012000, loss   0.1711, accuracy 93.57, exact match 53.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:12 Evaluating..
2020-02-03 03:13 Predicted for 1821 examples.
2020-02-03 03:13 Done predicting in 65.19892954826355 seconds.
2020-02-03 03:13   Evaluation Accuracy: 80.37 Exact Match: 52.44  Target Accuracy:  0.00
2020-02-03 03:14 Iteration 00012100, loss   0.1873, accuracy 92.79, exact match 46.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:14 Iteration 00012200, loss   0.1790, accuracy 92.80, exact match 49.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:14 Iteration 00012300, loss   0.1854, accuracy 92.72, exact match 49.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:14 Iteration 00012400, loss   0.1592, accuracy 94.04, exact match 56.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:15 Iteration 00012500, loss   0.1590, accuracy 93.86, exact match 58.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:15 Iteration 00012600, loss   0.1712, accuracy 92.81, exact match 50.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:15 Iteration 00012700, loss   0.1481, accuracy 94.20, exact match 59.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 03:15 Iteration 00012800, loss   0.1502, accuracy 94.28, exact match 56.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:16 Iteration 00012900, loss   0.1551, accuracy 93.48, exact match 56.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:16 Iteration 00013000, loss   0.1691, accuracy 93.05, exact match 49.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:16 Evaluating..
2020-02-03 03:17 Predicted for 1821 examples.
2020-02-03 03:17 Done predicting in 65.62853145599365 seconds.
2020-02-03 03:17   Evaluation Accuracy: 82.19 Exact Match: 56.45  Target Accuracy:  0.00
2020-02-03 03:17 Iteration 00013100, loss   0.1674, accuracy 93.30, exact match 50.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:18 Iteration 00013200, loss   0.1788, accuracy 92.89, exact match 52.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:18 Iteration 00013300, loss   0.1750, accuracy 93.10, exact match 52.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:18 Iteration 00013400, loss   0.1758, accuracy 93.46, exact match 54.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:18 Iteration 00013500, loss   0.1837, accuracy 93.21, exact match 53.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:19 Iteration 00013600, loss   0.1635, accuracy 93.86, exact match 57.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:19 Iteration 00013700, loss   0.1428, accuracy 94.24, exact match 59.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:19 Iteration 00013800, loss   0.1671, accuracy 93.50, exact match 53.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:20 Iteration 00013900, loss   0.1336, accuracy 94.39, exact match 59.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:20 Iteration 00014000, loss   0.1490, accuracy 94.39, exact match 61.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:20 Evaluating..
2020-02-03 03:21 Predicted for 1821 examples.
2020-02-03 03:21 Done predicting in 65.31149864196777 seconds.
2020-02-03 03:21   Evaluation Accuracy: 82.26 Exact Match: 58.05  Target Accuracy:  0.00
2020-02-03 03:21 Iteration 00014100, loss   0.1357, accuracy 94.77, exact match 60.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:21 Iteration 00014200, loss   0.1583, accuracy 93.74, exact match 55.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:22 Iteration 00014300, loss   0.1585, accuracy 93.77, exact match 55.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:22 Iteration 00014400, loss   0.1652, accuracy 92.82, exact match 44.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:22 Iteration 00014500, loss   0.1322, accuracy 94.68, exact match 60.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:23 Iteration 00014600, loss   0.1340, accuracy 94.49, exact match 54.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:23 Iteration 00014700, loss   0.1279, accuracy 94.72, exact match 60.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 03:23 Iteration 00014800, loss   0.1263, accuracy 94.37, exact match 58.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:23 Iteration 00014900, loss   0.1325, accuracy 94.62, exact match 62.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:24 Iteration 00015000, loss   0.1486, accuracy 94.51, exact match 54.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:24 Evaluating..
2020-02-03 03:25 Predicted for 1821 examples.
2020-02-03 03:25 Done predicting in 64.71778154373169 seconds.
2020-02-03 03:25   Evaluation Accuracy: 83.44 Exact Match: 59.20  Target Accuracy:  0.00
2020-02-03 03:25 Iteration 00015100, loss   0.1377, accuracy 94.68, exact match 59.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:25 Iteration 00015200, loss   0.1556, accuracy 94.03, exact match 57.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:26 Iteration 00015300, loss   0.1674, accuracy 93.23, exact match 51.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:26 Iteration 00015400, loss   0.1446, accuracy 94.43, exact match 60.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:26 Iteration 00015500, loss   0.1106, accuracy 95.82, exact match 66.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:26 Iteration 00015600, loss   0.1287, accuracy 94.93, exact match 57.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:27 Iteration 00015700, loss   0.1386, accuracy 94.96, exact match 58.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:27 Iteration 00015800, loss   0.1352, accuracy 94.40, exact match 56.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:27 Iteration 00015900, loss   0.1278, accuracy 95.04, exact match 58.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:28 Iteration 00016000, loss   0.1361, accuracy 94.53, exact match 62.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:28 Evaluating..
2020-02-03 03:29 Predicted for 1821 examples.
2020-02-03 03:29 Done predicting in 64.61593103408813 seconds.
2020-02-03 03:29   Evaluation Accuracy: 84.38 Exact Match: 61.78  Target Accuracy:  0.00
2020-02-03 03:29 Iteration 00016100, loss   0.1498, accuracy 93.48, exact match 53.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:29 Iteration 00016200, loss   0.1268, accuracy 95.07, exact match 61.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:29 Iteration 00016300, loss   0.1330, accuracy 95.09, exact match 60.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:30 Iteration 00016400, loss   0.1234, accuracy 95.31, exact match 62.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:30 Iteration 00016500, loss   0.1242, accuracy 95.13, exact match 60.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:30 Iteration 00016600, loss   0.1232, accuracy 95.16, exact match 60.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:31 Iteration 00016700, loss   0.1274, accuracy 94.73, exact match 60.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:31 Iteration 00016800, loss   0.1087, accuracy 95.80, exact match 64.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 03:31 Iteration 00016900, loss   0.1254, accuracy 95.03, exact match 59.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:31 Iteration 00017000, loss   0.1354, accuracy 94.37, exact match 59.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:31 Evaluating..
2020-02-03 03:32 Predicted for 1821 examples.
2020-02-03 03:32 Done predicting in 64.68781280517578 seconds.
2020-02-03 03:32   Evaluation Accuracy: 84.33 Exact Match: 62.44  Target Accuracy:  0.00
2020-02-03 03:33 Iteration 00017100, loss   0.1333, accuracy 94.70, exact match 58.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:33 Iteration 00017200, loss   0.1249, accuracy 95.14, exact match 61.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:33 Iteration 00017300, loss   0.1215, accuracy 95.14, exact match 61.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:34 Iteration 00017400, loss   0.1018, accuracy 95.95, exact match 65.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:34 Iteration 00017500, loss   0.1349, accuracy 94.62, exact match 58.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:34 Iteration 00017600, loss   0.1051, accuracy 95.70, exact match 64.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:34 Iteration 00017700, loss   0.1176, accuracy 95.65, exact match 67.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:35 Iteration 00017800, loss   0.1073, accuracy 95.83, exact match 69.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:35 Iteration 00017900, loss   0.1171, accuracy 95.66, exact match 67.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:35 Iteration 00018000, loss   0.1196, accuracy 95.00, exact match 61.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:35 Evaluating..
2020-02-03 03:36 Predicted for 1821 examples.
2020-02-03 03:36 Done predicting in 64.47820520401001 seconds.
2020-02-03 03:36   Evaluation Accuracy: 85.04 Exact Match: 62.88  Target Accuracy:  0.00
2020-02-03 03:37 Iteration 00018100, loss   0.1152, accuracy 95.55, exact match 63.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:37 Iteration 00018200, loss   0.1272, accuracy 94.67, exact match 59.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:37 Iteration 00018300, loss   0.1141, accuracy 95.41, exact match 63.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:37 Iteration 00018400, loss   0.1186, accuracy 94.95, exact match 60.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:38 Iteration 00018500, loss   0.1285, accuracy 94.84, exact match 60.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:38 Iteration 00018600, loss   0.1203, accuracy 95.33, exact match 66.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:38 Iteration 00018700, loss   0.1347, accuracy 94.60, exact match 60.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:38 Iteration 00018800, loss   0.1046, accuracy 96.03, exact match 68.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:39 Iteration 00018900, loss   0.1197, accuracy 94.96, exact match 59.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 03:39 Iteration 00019000, loss   0.1163, accuracy 95.57, exact match 65.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:39 Evaluating..
2020-02-03 03:40 Predicted for 1821 examples.
2020-02-03 03:40 Done predicting in 64.05312371253967 seconds.
2020-02-03 03:40   Evaluation Accuracy: 84.64 Exact Match: 64.03  Target Accuracy:  0.00
2020-02-03 03:40 Iteration 00019100, loss   0.0957, accuracy 96.36, exact match 68.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:41 Iteration 00019200, loss   0.0968, accuracy 96.19, exact match 67.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:41 Iteration 00019300, loss   0.1299, accuracy 94.87, exact match 60.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:41 Iteration 00019400, loss   0.1117, accuracy 95.49, exact match 61.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:41 Iteration 00019500, loss   0.1289, accuracy 94.69, exact match 63.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:42 Iteration 00019600, loss   0.0963, accuracy 96.43, exact match 72.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:42 Iteration 00019700, loss   0.1044, accuracy 96.19, exact match 67.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:42 Iteration 00019800, loss   0.1181, accuracy 94.80, exact match 59.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:43 Iteration 00019900, loss   0.1067, accuracy 95.34, exact match 62.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:43 Iteration 00020000, loss   0.0979, accuracy 96.48, exact match 71.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:43 Evaluating..
2020-02-03 03:44 Predicted for 1821 examples.
2020-02-03 03:44 Done predicting in 64.99018597602844 seconds.
2020-02-03 03:44   Evaluation Accuracy: 84.72 Exact Match: 64.09  Target Accuracy:  0.00
2020-02-03 03:44 Iteration 00020100, loss   0.1089, accuracy 95.26, exact match 62.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:44 Iteration 00020200, loss   0.1226, accuracy 95.14, exact match 59.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:45 Iteration 00020300, loss   0.1212, accuracy 95.32, exact match 64.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:45 Iteration 00020400, loss   0.1200, accuracy 95.07, exact match 64.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:45 Iteration 00020500, loss   0.1014, accuracy 95.48, exact match 64.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:46 Iteration 00020600, loss   0.1012, accuracy 95.56, exact match 64.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:46 Iteration 00020700, loss   0.1006, accuracy 96.20, exact match 68.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:46 Iteration 00020800, loss   0.1060, accuracy 95.63, exact match 63.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:46 Iteration 00020900, loss   0.1080, accuracy 95.47, exact match 63.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:47 Iteration 00021000, loss   0.1009, accuracy 95.58, exact match 61.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 03:47 Evaluating..
2020-02-03 03:48 Predicted for 1821 examples.
2020-02-03 03:48 Done predicting in 64.63751173019409 seconds.
2020-02-03 03:48   Evaluation Accuracy: 85.59 Exact Match: 65.57  Target Accuracy:  0.00
2020-02-03 03:48 Iteration 00021100, loss   0.1061, accuracy 95.64, exact match 65.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:48 Iteration 00021200, loss   0.0893, accuracy 95.93, exact match 68.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:49 Iteration 00021300, loss   0.1253, accuracy 94.42, exact match 61.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:49 Iteration 00021400, loss   0.0991, accuracy 96.06, exact match 68.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:49 Iteration 00021500, loss   0.0897, accuracy 96.40, exact match 68.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:49 Iteration 00021600, loss   0.0944, accuracy 96.01, exact match 67.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:50 Iteration 00021700, loss   0.0871, accuracy 96.33, exact match 71.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:50 Iteration 00021800, loss   0.0914, accuracy 96.09, exact match 69.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:50 Iteration 00021900, loss   0.1119, accuracy 95.38, exact match 62.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:50 Iteration 00022000, loss   0.1081, accuracy 95.88, exact match 67.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:50 Evaluating..
2020-02-03 03:52 Predicted for 1821 examples.
2020-02-03 03:52 Done predicting in 64.77364087104797 seconds.
2020-02-03 03:52   Evaluation Accuracy: 85.13 Exact Match: 65.57  Target Accuracy:  0.00
2020-02-03 03:52 Iteration 00022100, loss   0.1101, accuracy 96.05, exact match 67.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:52 Iteration 00022200, loss   0.1103, accuracy 95.58, exact match 66.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:52 Iteration 00022300, loss   0.1140, accuracy 95.97, exact match 67.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:53 Iteration 00022400, loss   0.1126, accuracy 95.50, exact match 64.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:53 Iteration 00022500, loss   0.0954, accuracy 96.14, exact match 66.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:53 Iteration 00022600, loss   0.0867, accuracy 96.71, exact match 72.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:54 Iteration 00022700, loss   0.0929, accuracy 96.53, exact match 70.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:54 Iteration 00022800, loss   0.1223, accuracy 95.54, exact match 61.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:54 Iteration 00022900, loss   0.1041, accuracy 95.37, exact match 65.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:54 Iteration 00023000, loss   0.0839, accuracy 96.34, exact match 68.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:54 Evaluating..
2020-02-03 03:55 Predicted for 1821 examples.
2020-02-03 03:55 Done predicting in 65.03548550605774 seconds.
2020-02-03 03:55   Evaluation Accuracy: 85.55 Exact Match: 66.50  Target Accuracy:  0.00
2020-02-03 03:56 Iteration 00023100, loss   0.0900, accuracy 96.78, exact match 71.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 03:56 Iteration 00023200, loss   0.0959, accuracy 96.48, exact match 72.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:56 Iteration 00023300, loss   0.1075, accuracy 95.50, exact match 62.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:57 Iteration 00023400, loss   0.0913, accuracy 96.33, exact match 72.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:57 Iteration 00023500, loss   0.0998, accuracy 96.02, exact match 65.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:57 Iteration 00023600, loss   0.0806, accuracy 96.85, exact match 72.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:57 Iteration 00023700, loss   0.0984, accuracy 96.19, exact match 68.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:58 Iteration 00023800, loss   0.0975, accuracy 96.43, exact match 72.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:58 Iteration 00023900, loss   0.0936, accuracy 96.11, exact match 65.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:58 Iteration 00024000, loss   0.1053, accuracy 95.71, exact match 67.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 03:58 Evaluating..
2020-02-03 03:59 Predicted for 1821 examples.
2020-02-03 03:59 Done predicting in 64.86291718482971 seconds.
2020-02-03 03:59   Evaluation Accuracy: 85.76 Exact Match: 66.56  Target Accuracy:  0.00
2020-02-03 04:00 Iteration 00024100, loss   0.0907, accuracy 96.39, exact match 73.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:00 Iteration 00024200, loss   0.1188, accuracy 94.82, exact match 59.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:00 Iteration 00024300, loss   0.1199, accuracy 95.35, exact match 64.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:00 Iteration 00024400, loss   0.0952, accuracy 96.38, exact match 69.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:01 Iteration 00024500, loss   0.0928, accuracy 96.37, exact match 70.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:01 Iteration 00024600, loss   0.0975, accuracy 96.08, exact match 66.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:01 Iteration 00024700, loss   0.1010, accuracy 96.00, exact match 67.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:01 Iteration 00024800, loss   0.0912, accuracy 96.68, exact match 70.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:02 Iteration 00024900, loss   0.0885, accuracy 96.27, exact match 68.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:02 Iteration 00025000, loss   0.1051, accuracy 95.79, exact match 72.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:02 Evaluating..
2020-02-03 04:03 Predicted for 1821 examples.
2020-02-03 04:03 Done predicting in 64.0410315990448 seconds.
2020-02-03 04:03   Evaluation Accuracy: 86.21 Exact Match: 67.71  Target Accuracy:  0.00
2020-02-03 04:03 Iteration 00025100, loss   0.0785, accuracy 96.60, exact match 71.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:04 Iteration 00025200, loss   0.1091, accuracy 95.56, exact match 62.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:04 Iteration 00025300, loss   0.0838, accuracy 96.43, exact match 70.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 04:04 Iteration 00025400, loss   0.1062, accuracy 95.89, exact match 64.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:04 Iteration 00025500, loss   0.0885, accuracy 96.22, exact match 70.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:05 Iteration 00025600, loss   0.0955, accuracy 96.40, exact match 70.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:05 Iteration 00025700, loss   0.1030, accuracy 95.83, exact match 67.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:05 Iteration 00025800, loss   0.0936, accuracy 96.06, exact match 66.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:06 Iteration 00025900, loss   0.1023, accuracy 96.25, exact match 67.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:06 Iteration 00026000, loss   0.0894, accuracy 95.88, exact match 67.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:06 Evaluating..
2020-02-03 04:07 Predicted for 1821 examples.
2020-02-03 04:07 Done predicting in 63.84087133407593 seconds.
2020-02-03 04:07   Evaluation Accuracy: 86.53 Exact Match: 68.75  Target Accuracy:  0.00
2020-02-03 04:07 Iteration 00026100, loss   0.1043, accuracy 96.18, exact match 68.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:07 Iteration 00026200, loss   0.0958, accuracy 96.47, exact match 71.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:08 Iteration 00026300, loss   0.0931, accuracy 95.87, exact match 67.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:08 Iteration 00026400, loss   0.0981, accuracy 96.09, exact match 68.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:08 Iteration 00026500, loss   0.0808, accuracy 96.65, exact match 71.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:08 Iteration 00026600, loss   0.0832, accuracy 96.88, exact match 74.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:09 Iteration 00026700, loss   0.0921, accuracy 96.00, exact match 68.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:09 Iteration 00026800, loss   0.0929, accuracy 96.29, exact match 71.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:09 Iteration 00026900, loss   0.0777, accuracy 97.18, exact match 75.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:10 Iteration 00027000, loss   0.0918, accuracy 96.72, exact match 71.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:10 Evaluating..
2020-02-03 04:11 Predicted for 1821 examples.
2020-02-03 04:11 Done predicting in 64.2523398399353 seconds.
2020-02-03 04:11   Evaluation Accuracy: 86.78 Exact Match: 69.52  Target Accuracy:  0.00
2020-02-03 04:11 Iteration 00027100, loss   0.0791, accuracy 96.55, exact match 70.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:11 Iteration 00027200, loss   0.0898, accuracy 96.65, exact match 72.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:11 Iteration 00027300, loss   0.0839, accuracy 96.55, exact match 69.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:12 Iteration 00027400, loss   0.0884, accuracy 96.28, exact match 68.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:12 Iteration 00027500, loss   0.1070, accuracy 95.41, exact match 62.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 04:12 Iteration 00027600, loss   0.0934, accuracy 96.33, exact match 72.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:13 Iteration 00027700, loss   0.1042, accuracy 95.82, exact match 67.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:13 Iteration 00027800, loss   0.0825, accuracy 96.18, exact match 68.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:13 Iteration 00027900, loss   0.1001, accuracy 96.18, exact match 70.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:13 Iteration 00028000, loss   0.0720, accuracy 97.22, exact match 77.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:13 Evaluating..
2020-02-03 04:14 Predicted for 1821 examples.
2020-02-03 04:14 Done predicting in 64.0437662601471 seconds.
2020-02-03 04:14   Evaluation Accuracy: 86.73 Exact Match: 69.74  Target Accuracy:  0.00
2020-02-03 04:15 Iteration 00028100, loss   0.0891, accuracy 96.37, exact match 69.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:15 Iteration 00028200, loss   0.0852, accuracy 96.34, exact match 69.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:15 Iteration 00028300, loss   0.0908, accuracy 96.45, exact match 71.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:16 Iteration 00028400, loss   0.0974, accuracy 96.76, exact match 74.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:16 Iteration 00028500, loss   0.0739, accuracy 97.25, exact match 76.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:16 Iteration 00028600, loss   0.0843, accuracy 96.62, exact match 71.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:16 Iteration 00028700, loss   0.0934, accuracy 96.40, exact match 68.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:17 Iteration 00028800, loss   0.0887, accuracy 96.58, exact match 72.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:17 Iteration 00028900, loss   0.0714, accuracy 96.88, exact match 73.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:17 Iteration 00029000, loss   0.0593, accuracy 97.66, exact match 79.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:17 Evaluating..
2020-02-03 04:18 Predicted for 1821 examples.
2020-02-03 04:18 Done predicting in 64.53037881851196 seconds.
2020-02-03 04:18   Evaluation Accuracy: 88.67 Exact Match: 71.99  Target Accuracy:  0.00
2020-02-03 04:19 Iteration 00029100, loss   0.0758, accuracy 97.05, exact match 74.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:19 Iteration 00029200, loss   0.0847, accuracy 96.72, exact match 70.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:19 Iteration 00029300, loss   0.0873, accuracy 96.95, exact match 72.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:19 Iteration 00029400, loss   0.0847, accuracy 96.72, exact match 70.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:20 Iteration 00029500, loss   0.0679, accuracy 97.67, exact match 80.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:20 Iteration 00029600, loss   0.0739, accuracy 97.07, exact match 76.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:20 Iteration 00029700, loss   0.0750, accuracy 96.93, exact match 73.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 04:20 Iteration 00029800, loss   0.0741, accuracy 97.13, exact match 77.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:21 Iteration 00029900, loss   0.0623, accuracy 97.73, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:21 Iteration 00030000, loss   0.0671, accuracy 97.29, exact match 77.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:21 Evaluating..
2020-02-03 04:22 Predicted for 1821 examples.
2020-02-03 04:22 Done predicting in 64.18159914016724 seconds.
2020-02-03 04:22   Evaluation Accuracy: 91.44 Exact Match: 77.32  Target Accuracy:  0.00
2020-02-03 04:22 Iteration 00030100, loss   0.0569, accuracy 97.48, exact match 79.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:23 Iteration 00030200, loss   0.0536, accuracy 97.95, exact match 82.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:23 Iteration 00030300, loss   0.0707, accuracy 97.19, exact match 76.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:23 Iteration 00030400, loss   0.0642, accuracy 97.54, exact match 77.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:23 Iteration 00030500, loss   0.0912, accuracy 96.39, exact match 72.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:24 Iteration 00030600, loss   0.0662, accuracy 97.64, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:24 Iteration 00030700, loss   0.0554, accuracy 98.15, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:24 Iteration 00030800, loss   0.0671, accuracy 97.59, exact match 77.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:24 Iteration 00030900, loss   0.0590, accuracy 97.77, exact match 80.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:25 Iteration 00031000, loss   0.0613, accuracy 97.46, exact match 77.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:25 Evaluating..
2020-02-03 04:26 Predicted for 1821 examples.
2020-02-03 04:26 Done predicting in 64.15516638755798 seconds.
2020-02-03 04:26   Evaluation Accuracy: 93.09 Exact Match: 79.68  Target Accuracy:  0.00
2020-02-03 04:26 Iteration 00031100, loss   0.0576, accuracy 97.77, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:26 Iteration 00031200, loss   0.0546, accuracy 98.09, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:27 Iteration 00031300, loss   0.0478, accuracy 98.38, exact match 85.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:27 Iteration 00031400, loss   0.0573, accuracy 98.17, exact match 83.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:27 Iteration 00031500, loss   0.0494, accuracy 98.08, exact match 81.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:27 Iteration 00031600, loss   0.0518, accuracy 98.00, exact match 82.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:28 Iteration 00031700, loss   0.0569, accuracy 97.66, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:28 Iteration 00031800, loss   0.0408, accuracy 98.62, exact match 88.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:28 Iteration 00031900, loss   0.0539, accuracy 97.94, exact match 80.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 04:29 Iteration 00032000, loss   0.0570, accuracy 97.78, exact match 80.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:29 Evaluating..
2020-02-03 04:30 Predicted for 1821 examples.
2020-02-03 04:30 Done predicting in 64.7453281879425 seconds.
2020-02-03 04:30   Evaluation Accuracy: 95.14 Exact Match: 82.76  Target Accuracy:  0.00
2020-02-03 04:30 Iteration 00032100, loss   0.0447, accuracy 98.29, exact match 84.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:30 Iteration 00032200, loss   0.0548, accuracy 98.09, exact match 83.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:30 Iteration 00032300, loss   0.0411, accuracy 98.68, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:31 Iteration 00032400, loss   0.0630, accuracy 97.57, exact match 80.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:31 Iteration 00032500, loss   0.0464, accuracy 97.90, exact match 82.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:31 Iteration 00032600, loss   0.0484, accuracy 98.30, exact match 85.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:32 Iteration 00032700, loss   0.0509, accuracy 98.11, exact match 82.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:32 Iteration 00032800, loss   0.0659, accuracy 97.69, exact match 80.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:32 Iteration 00032900, loss   0.0400, accuracy 98.62, exact match 87.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:32 Iteration 00033000, loss   0.0492, accuracy 98.17, exact match 83.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:32 Evaluating..
2020-02-03 04:33 Predicted for 1821 examples.
2020-02-03 04:33 Done predicting in 64.94407343864441 seconds.
2020-02-03 04:33   Evaluation Accuracy: 95.55 Exact Match: 84.51  Target Accuracy:  0.00
2020-02-03 04:34 Iteration 00033100, loss   0.0408, accuracy 98.19, exact match 85.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:34 Iteration 00033200, loss   0.0570, accuracy 97.60, exact match 81.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:34 Iteration 00033300, loss   0.0446, accuracy 98.31, exact match 83.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:35 Iteration 00033400, loss   0.0389, accuracy 98.48, exact match 86.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:35 Iteration 00033500, loss   0.0327, accuracy 98.85, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:35 Iteration 00033600, loss   0.0396, accuracy 98.73, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:35 Iteration 00033700, loss   0.0418, accuracy 98.51, exact match 86.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:36 Iteration 00033800, loss   0.0290, accuracy 98.94, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:36 Iteration 00033900, loss   0.0281, accuracy 98.95, exact match 89.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:36 Iteration 00034000, loss   0.0606, accuracy 97.61, exact match 79.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:36 Evaluating..
2020-02-03 04:37 Predicted for 1821 examples.
2020-02-03 04:37 Done predicting in 64.73700642585754 seconds.
2020-02-03 04:37   Evaluation Accuracy: 95.53 Exact Match: 84.35  Target Accuracy:  0.00
2020-02-03 04:38 Iteration 00034100, loss   0.0460, accuracy 98.59, exact match 85.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:38 Iteration 00034200, loss   0.0379, accuracy 98.55, exact match 86.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 04:38 Iteration 00034300, loss   0.0381, accuracy 98.45, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:38 Iteration 00034400, loss   0.0344, accuracy 98.76, exact match 89.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:39 Iteration 00034500, loss   0.0468, accuracy 98.40, exact match 84.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:39 Iteration 00034600, loss   0.0418, accuracy 98.64, exact match 87.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:39 Iteration 00034700, loss   0.0263, accuracy 99.07, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:39 Iteration 00034800, loss   0.0451, accuracy 98.41, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:40 Iteration 00034900, loss   0.0458, accuracy 98.28, exact match 82.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:40 Iteration 00035000, loss   0.0434, accuracy 98.38, exact match 85.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:40 Evaluating..
2020-02-03 04:41 Predicted for 1821 examples.
2020-02-03 04:41 Done predicting in 64.70958232879639 seconds.
2020-02-03 04:41   Evaluation Accuracy: 96.06 Exact Match: 85.67  Target Accuracy:  0.00
2020-02-03 04:41 Iteration 00035100, loss   0.0425, accuracy 98.51, exact match 85.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:42 Iteration 00035200, loss   0.0345, accuracy 98.78, exact match 88.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:42 Iteration 00035300, loss   0.0369, accuracy 98.78, exact match 87.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:42 Iteration 00035400, loss   0.0444, accuracy 98.45, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:42 Iteration 00035500, loss   0.0337, accuracy 98.63, exact match 86.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:43 Iteration 00035600, loss   0.0351, accuracy 98.31, exact match 85.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:43 Iteration 00035700, loss   0.0366, accuracy 98.63, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:43 Iteration 00035800, loss   0.0317, accuracy 98.67, exact match 89.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:43 Iteration 00035900, loss   0.0552, accuracy 98.09, exact match 83.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:44 Iteration 00036000, loss   0.0427, accuracy 98.40, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:44 Evaluating..
2020-02-03 04:45 Predicted for 1821 examples.
2020-02-03 04:45 Done predicting in 64.79989457130432 seconds.
2020-02-03 04:45   Evaluation Accuracy: 96.04 Exact Match: 86.27  Target Accuracy:  0.00
2020-02-03 04:45 Iteration 00036100, loss   0.0340, accuracy 98.51, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:45 Iteration 00036200, loss   0.0338, accuracy 98.79, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:46 Iteration 00036300, loss   0.0427, accuracy 98.10, exact match 82.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:46 Iteration 00036400, loss   0.0288, accuracy 99.07, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:46 Iteration 00036500, loss   0.0355, accuracy 98.57, exact match 87.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 04:46 Iteration 00036600, loss   0.0366, accuracy 98.80, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:47 Iteration 00036700, loss   0.0445, accuracy 98.45, exact match 85.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:47 Iteration 00036800, loss   0.0415, accuracy 98.54, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:47 Iteration 00036900, loss   0.0456, accuracy 98.77, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:48 Iteration 00037000, loss   0.0332, accuracy 98.94, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:48 Evaluating..
2020-02-03 04:49 Predicted for 1821 examples.
2020-02-03 04:49 Done predicting in 64.462473154068 seconds.
2020-02-03 04:49   Evaluation Accuracy: 96.29 Exact Match: 86.16  Target Accuracy:  0.00
2020-02-03 04:49 Iteration 00037100, loss   0.0405, accuracy 98.60, exact match 86.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:49 Iteration 00037200, loss   0.0285, accuracy 98.97, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:49 Iteration 00037300, loss   0.0508, accuracy 98.19, exact match 84.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:50 Iteration 00037400, loss   0.0401, accuracy 98.60, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:50 Iteration 00037500, loss   0.0396, accuracy 98.76, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:50 Iteration 00037600, loss   0.0388, accuracy 98.39, exact match 85.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:51 Iteration 00037700, loss   0.0399, accuracy 98.58, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:51 Iteration 00037800, loss   0.0338, accuracy 98.68, exact match 88.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:51 Iteration 00037900, loss   0.0300, accuracy 98.72, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:51 Iteration 00038000, loss   0.0357, accuracy 98.81, exact match 88.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:51 Evaluating..
2020-02-03 04:52 Predicted for 1821 examples.
2020-02-03 04:52 Done predicting in 64.94258904457092 seconds.
2020-02-03 04:52   Evaluation Accuracy: 96.35 Exact Match: 87.31  Target Accuracy:  0.00
2020-02-03 04:53 Iteration 00038100, loss   0.0356, accuracy 98.68, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:53 Iteration 00038200, loss   0.0445, accuracy 98.28, exact match 83.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:53 Iteration 00038300, loss   0.0388, accuracy 98.80, exact match 87.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:54 Iteration 00038400, loss   0.0411, accuracy 98.77, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:54 Iteration 00038500, loss   0.0254, accuracy 99.17, exact match 91.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:54 Iteration 00038600, loss   0.0376, accuracy 98.59, exact match 86.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:54 Iteration 00038700, loss   0.0291, accuracy 99.03, exact match 90.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:55 Iteration 00038800, loss   0.0426, accuracy 98.49, exact match 86.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 04:55 Iteration 00038900, loss   0.0234, accuracy 99.14, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:55 Iteration 00039000, loss   0.0430, accuracy 98.32, exact match 85.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:55 Evaluating..
2020-02-03 04:56 Predicted for 1821 examples.
2020-02-03 04:56 Done predicting in 64.67645406723022 seconds.
2020-02-03 04:56   Evaluation Accuracy: 96.66 Exact Match: 87.97  Target Accuracy:  0.00
2020-02-03 04:57 Iteration 00039100, loss   0.0246, accuracy 99.26, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:57 Iteration 00039200, loss   0.0438, accuracy 98.48, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:57 Iteration 00039300, loss   0.0359, accuracy 98.55, exact match 86.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:57 Iteration 00039400, loss   0.0383, accuracy 98.67, exact match 88.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:58 Iteration 00039500, loss   0.0363, accuracy 98.98, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:58 Iteration 00039600, loss   0.0336, accuracy 98.69, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:58 Iteration 00039700, loss   0.0280, accuracy 98.87, exact match 90.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:58 Iteration 00039800, loss   0.0403, accuracy 98.62, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:59 Iteration 00039900, loss   0.0389, accuracy 98.93, exact match 90.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:59 Iteration 00040000, loss   0.0257, accuracy 99.15, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 04:59 Evaluating..
2020-02-03 05:00 Predicted for 1821 examples.
2020-02-03 05:00 Done predicting in 64.69445443153381 seconds.
2020-02-03 05:00   Evaluation Accuracy: 96.61 Exact Match: 87.81  Target Accuracy:  0.00
2020-02-03 05:00 Iteration 00040100, loss   0.0334, accuracy 98.76, exact match 87.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:01 Iteration 00040200, loss   0.0411, accuracy 98.81, exact match 89.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:01 Iteration 00040300, loss   0.0357, accuracy 98.66, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:01 Iteration 00040400, loss   0.0248, accuracy 99.15, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:01 Iteration 00040500, loss   0.0431, accuracy 98.42, exact match 85.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:02 Iteration 00040600, loss   0.0306, accuracy 98.74, exact match 87.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:02 Iteration 00040700, loss   0.0316, accuracy 98.81, exact match 88.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:02 Iteration 00040800, loss   0.0412, accuracy 98.82, exact match 89.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:02 Iteration 00040900, loss   0.0387, accuracy 98.63, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:03 Iteration 00041000, loss   0.0284, accuracy 98.97, exact match 89.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:03 Evaluating..
2020-02-03 05:04 Predicted for 1821 examples.
2020-02-03 05:04 Done predicting in 64.6532392501831 seconds.
2020-02-03 05:04   Evaluation Accuracy: 96.80 Exact Match: 88.25  Target Accuracy:  0.00
2020-02-03 05:04 Iteration 00041100, loss   0.0225, accuracy 99.17, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 05:04 Iteration 00041200, loss   0.0268, accuracy 99.10, exact match 91.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:05 Iteration 00041300, loss   0.0435, accuracy 98.27, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:05 Iteration 00041400, loss   0.0430, accuracy 98.70, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:05 Iteration 00041500, loss   0.0440, accuracy 98.29, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:05 Iteration 00041600, loss   0.0279, accuracy 99.13, exact match 92.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:06 Iteration 00041700, loss   0.0304, accuracy 98.70, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:06 Iteration 00041800, loss   0.0418, accuracy 98.35, exact match 82.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:06 Iteration 00041900, loss   0.0305, accuracy 98.91, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:07 Iteration 00042000, loss   0.0387, accuracy 98.33, exact match 83.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:07 Evaluating..
2020-02-03 05:08 Predicted for 1821 examples.
2020-02-03 05:08 Done predicting in 64.72887873649597 seconds.
2020-02-03 05:08   Evaluation Accuracy: 96.93 Exact Match: 88.08  Target Accuracy:  0.00
2020-02-03 05:08 Iteration 00042100, loss   0.0340, accuracy 98.63, exact match 87.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:08 Iteration 00042200, loss   0.0318, accuracy 98.94, exact match 90.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:08 Iteration 00042300, loss   0.0166, accuracy 99.37, exact match 94.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:09 Iteration 00042400, loss   0.0290, accuracy 98.92, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:09 Iteration 00042500, loss   0.0307, accuracy 98.99, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:09 Iteration 00042600, loss   0.0313, accuracy 98.94, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:10 Iteration 00042700, loss   0.0295, accuracy 98.80, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:10 Iteration 00042800, loss   0.0345, accuracy 98.61, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:10 Iteration 00042900, loss   0.0447, accuracy 98.20, exact match 86.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:10 Iteration 00043000, loss   0.0220, accuracy 99.20, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:10 Evaluating..
2020-02-03 05:11 Predicted for 1821 examples.
2020-02-03 05:11 Done predicting in 64.63600325584412 seconds.
2020-02-03 05:11   Evaluation Accuracy: 96.85 Exact Match: 88.47  Target Accuracy:  0.00
2020-02-03 05:12 Iteration 00043100, loss   0.0326, accuracy 98.87, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:12 Iteration 00043200, loss   0.0410, accuracy 98.92, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:12 Iteration 00043300, loss   0.0302, accuracy 98.65, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:13 Iteration 00043400, loss   0.0313, accuracy 98.96, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:13 Iteration 00043500, loss   0.0264, accuracy 98.92, exact match 89.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 05:13 Iteration 00043600, loss   0.0344, accuracy 98.94, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:13 Iteration 00043700, loss   0.0281, accuracy 99.05, exact match 90.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:14 Iteration 00043800, loss   0.0308, accuracy 98.85, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:14 Iteration 00043900, loss   0.0353, accuracy 98.63, exact match 89.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:14 Iteration 00044000, loss   0.0350, accuracy 98.87, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:14 Evaluating..
2020-02-03 05:15 Predicted for 1821 examples.
2020-02-03 05:15 Done predicting in 64.84301686286926 seconds.
2020-02-03 05:15   Evaluation Accuracy: 96.96 Exact Match: 89.07  Target Accuracy:  0.00
2020-02-03 05:16 Iteration 00044100, loss   0.0223, accuracy 99.27, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:16 Iteration 00044200, loss   0.0192, accuracy 99.24, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:16 Iteration 00044300, loss   0.0343, accuracy 98.67, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:16 Iteration 00044400, loss   0.0204, accuracy 99.28, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:17 Iteration 00044500, loss   0.0258, accuracy 99.16, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:17 Iteration 00044600, loss   0.0278, accuracy 99.08, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:17 Iteration 00044700, loss   0.0227, accuracy 99.31, exact match 94.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:17 Iteration 00044800, loss   0.0272, accuracy 98.94, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:18 Iteration 00044900, loss   0.0290, accuracy 98.92, exact match 90.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:18 Iteration 00045000, loss   0.0327, accuracy 98.88, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:18 Evaluating..
2020-02-03 05:19 Predicted for 1821 examples.
2020-02-03 05:19 Done predicting in 64.90908885002136 seconds.
2020-02-03 05:19   Evaluation Accuracy: 97.17 Exact Match: 89.68  Target Accuracy:  0.00
2020-02-03 05:19 Iteration 00045100, loss   0.0366, accuracy 98.39, exact match 84.16, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:20 Iteration 00045200, loss   0.0434, accuracy 98.44, exact match 86.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:20 Iteration 00045300, loss   0.0296, accuracy 99.24, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:20 Iteration 00045400, loss   0.0271, accuracy 98.92, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:20 Iteration 00045500, loss   0.0251, accuracy 99.04, exact match 91.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:21 Iteration 00045600, loss   0.0212, accuracy 99.16, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:21 Iteration 00045700, loss   0.0364, accuracy 98.62, exact match 87.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:21 Iteration 00045800, loss   0.0507, accuracy 98.40, exact match 85.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:21 Iteration 00045900, loss   0.0264, accuracy 98.94, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 05:22 Iteration 00046000, loss   0.0442, accuracy 98.48, exact match 86.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:22 Evaluating..
2020-02-03 05:23 Predicted for 1821 examples.
2020-02-03 05:23 Done predicting in 64.23873257637024 seconds.
2020-02-03 05:23   Evaluation Accuracy: 97.31 Exact Match: 89.51  Target Accuracy:  0.00
2020-02-03 05:23 Iteration 00046100, loss   0.0191, accuracy 99.56, exact match 95.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:23 Iteration 00046200, loss   0.0246, accuracy 99.12, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:24 Iteration 00046300, loss   0.0293, accuracy 98.99, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:24 Iteration 00046400, loss   0.0238, accuracy 99.14, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:24 Iteration 00046500, loss   0.0291, accuracy 98.54, exact match 85.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:24 Iteration 00046600, loss   0.0309, accuracy 98.84, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:25 Iteration 00046700, loss   0.0289, accuracy 99.04, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:25 Iteration 00046800, loss   0.0264, accuracy 99.04, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:25 Iteration 00046900, loss   0.0302, accuracy 98.73, exact match 87.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:26 Iteration 00047000, loss   0.0235, accuracy 99.02, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:26 Evaluating..
2020-02-03 05:27 Predicted for 1821 examples.
2020-02-03 05:27 Done predicting in 64.66756010055542 seconds.
2020-02-03 05:27   Evaluation Accuracy: 97.44 Exact Match: 90.61  Target Accuracy:  0.00
2020-02-03 05:27 Iteration 00047100, loss   0.0272, accuracy 99.14, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:27 Iteration 00047200, loss   0.0252, accuracy 99.02, exact match 90.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:27 Iteration 00047300, loss   0.0281, accuracy 99.11, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:28 Iteration 00047400, loss   0.0302, accuracy 98.83, exact match 88.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:28 Iteration 00047500, loss   0.0318, accuracy 98.92, exact match 88.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:28 Iteration 00047600, loss   0.0332, accuracy 98.81, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:29 Iteration 00047700, loss   0.0264, accuracy 98.94, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:29 Iteration 00047800, loss   0.0249, accuracy 99.09, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:29 Iteration 00047900, loss   0.0252, accuracy 99.10, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:29 Iteration 00048000, loss   0.0342, accuracy 99.13, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:29 Evaluating..
2020-02-03 05:30 Predicted for 1821 examples.
2020-02-03 05:30 Done predicting in 64.69871807098389 seconds.
2020-02-03 05:30   Evaluation Accuracy: 97.48 Exact Match: 90.23  Target Accuracy:  0.00
2020-02-03 05:31 Iteration 00048100, loss   0.0194, accuracy 99.23, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:31 Iteration 00048200, loss   0.0332, accuracy 98.64, exact match 87.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:31 Iteration 00048300, loss   0.0230, accuracy 99.26, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 05:32 Iteration 00048400, loss   0.0232, accuracy 99.05, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:32 Iteration 00048500, loss   0.0230, accuracy 99.10, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:32 Iteration 00048600, loss   0.0319, accuracy 99.02, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:32 Iteration 00048700, loss   0.0228, accuracy 99.29, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:33 Iteration 00048800, loss   0.0339, accuracy 99.07, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:33 Iteration 00048900, loss   0.0273, accuracy 99.14, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:33 Iteration 00049000, loss   0.0207, accuracy 99.43, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:33 Evaluating..
2020-02-03 05:34 Predicted for 1821 examples.
2020-02-03 05:34 Done predicting in 64.74301075935364 seconds.
2020-02-03 05:34   Evaluation Accuracy: 97.47 Exact Match: 90.50  Target Accuracy:  0.00
2020-02-03 05:35 Iteration 00049100, loss   0.0281, accuracy 98.88, exact match 88.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:35 Iteration 00049200, loss   0.0185, accuracy 99.26, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:35 Iteration 00049300, loss   0.0245, accuracy 99.03, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:35 Iteration 00049400, loss   0.0242, accuracy 99.13, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:36 Iteration 00049500, loss   0.0268, accuracy 98.97, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:36 Iteration 00049600, loss   0.0192, accuracy 99.38, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:36 Iteration 00049700, loss   0.0259, accuracy 99.00, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:36 Iteration 00049800, loss   0.0409, accuracy 98.59, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:37 Iteration 00049900, loss   0.0298, accuracy 98.97, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:37 Iteration 00050000, loss   0.0265, accuracy 99.11, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:37 Evaluating..
2020-02-03 05:38 Predicted for 1821 examples.
2020-02-03 05:38 Done predicting in 64.89120292663574 seconds.
2020-02-03 05:38   Evaluation Accuracy: 97.45 Exact Match: 90.39  Target Accuracy:  0.00
2020-02-03 05:38 Iteration 00050100, loss   0.0277, accuracy 98.96, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:39 Iteration 00050200, loss   0.0307, accuracy 98.87, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:39 Iteration 00050300, loss   0.0283, accuracy 98.90, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:39 Iteration 00050400, loss   0.0228, accuracy 99.09, exact match 91.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:39 Iteration 00050500, loss   0.0412, accuracy 98.52, exact match 85.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:40 Iteration 00050600, loss   0.0302, accuracy 99.00, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:40 Iteration 00050700, loss   0.0189, accuracy 99.14, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:40 Iteration 00050800, loss   0.0218, accuracy 99.17, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 05:40 Iteration 00050900, loss   0.0260, accuracy 98.90, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:41 Iteration 00051000, loss   0.0237, accuracy 99.28, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:41 Evaluating..
2020-02-03 05:42 Predicted for 1821 examples.
2020-02-03 05:42 Done predicting in 64.58345150947571 seconds.
2020-02-03 05:42   Evaluation Accuracy: 97.48 Exact Match: 90.28  Target Accuracy:  0.00
2020-02-03 05:42 Iteration 00051100, loss   0.0335, accuracy 98.78, exact match 89.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:42 Iteration 00051200, loss   0.0242, accuracy 99.18, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:43 Iteration 00051300, loss   0.0207, accuracy 99.30, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:43 Iteration 00051400, loss   0.0221, accuracy 99.04, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:43 Iteration 00051500, loss   0.0297, accuracy 99.02, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:43 Iteration 00051600, loss   0.0218, accuracy 99.14, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:44 Iteration 00051700, loss   0.0335, accuracy 98.55, exact match 87.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:44 Iteration 00051800, loss   0.0282, accuracy 99.06, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:44 Iteration 00051900, loss   0.0220, accuracy 99.13, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:45 Iteration 00052000, loss   0.0182, accuracy 99.29, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:45 Evaluating..
2020-02-03 05:46 Predicted for 1821 examples.
2020-02-03 05:46 Done predicting in 64.52233099937439 seconds.
2020-02-03 05:46   Evaluation Accuracy: 97.66 Exact Match: 91.05  Target Accuracy:  0.00
2020-02-03 05:46 Iteration 00052100, loss   0.0312, accuracy 98.59, exact match 87.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:46 Iteration 00052200, loss   0.0206, accuracy 99.13, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:46 Iteration 00052300, loss   0.0290, accuracy 98.72, exact match 89.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:47 Iteration 00052400, loss   0.0201, accuracy 99.11, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:47 Iteration 00052500, loss   0.0267, accuracy 98.90, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:47 Iteration 00052600, loss   0.0199, accuracy 99.22, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:48 Iteration 00052700, loss   0.0169, accuracy 99.37, exact match 94.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:48 Iteration 00052800, loss   0.0220, accuracy 99.19, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:48 Iteration 00052900, loss   0.0200, accuracy 99.14, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:48 Iteration 00053000, loss   0.0318, accuracy 98.96, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:48 Evaluating..
2020-02-03 05:49 Predicted for 1821 examples.
2020-02-03 05:49 Done predicting in 64.70793867111206 seconds.
2020-02-03 05:49   Evaluation Accuracy: 97.57 Exact Match: 90.72  Target Accuracy:  0.00
2020-02-03 05:50 Iteration 00053100, loss   0.0171, accuracy 99.24, exact match 92.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:50 Iteration 00053200, loss   0.0265, accuracy 99.20, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:50 Iteration 00053300, loss   0.0273, accuracy 99.14, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 05:51 Iteration 00053400, loss   0.0231, accuracy 99.26, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:51 Iteration 00053500, loss   0.0248, accuracy 99.12, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:51 Iteration 00053600, loss   0.0201, accuracy 99.26, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:51 Iteration 00053700, loss   0.0180, accuracy 99.34, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:52 Iteration 00053800, loss   0.0198, accuracy 99.18, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:52 Iteration 00053900, loss   0.0305, accuracy 98.73, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:52 Iteration 00054000, loss   0.0216, accuracy 99.35, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:52 Evaluating..
2020-02-03 05:53 Predicted for 1821 examples.
2020-02-03 05:53 Done predicting in 64.69296145439148 seconds.
2020-02-03 05:53   Evaluation Accuracy: 97.56 Exact Match: 91.10  Target Accuracy:  0.00
2020-02-03 05:54 Iteration 00054100, loss   0.0200, accuracy 99.48, exact match 95.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:54 Iteration 00054200, loss   0.0307, accuracy 99.05, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:54 Iteration 00054300, loss   0.0213, accuracy 99.05, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:54 Iteration 00054400, loss   0.0241, accuracy 99.25, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:55 Iteration 00054500, loss   0.0200, accuracy 99.20, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:55 Iteration 00054600, loss   0.0246, accuracy 99.23, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:55 Iteration 00054700, loss   0.0284, accuracy 98.90, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:55 Iteration 00054800, loss   0.0337, accuracy 98.74, exact match 88.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:56 Iteration 00054900, loss   0.0230, accuracy 99.16, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:56 Iteration 00055000, loss   0.0277, accuracy 99.01, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:56 Evaluating..
2020-02-03 05:57 Predicted for 1821 examples.
2020-02-03 05:57 Done predicting in 64.56420922279358 seconds.
2020-02-03 05:57   Evaluation Accuracy: 97.62 Exact Match: 91.60  Target Accuracy:  0.00
2020-02-03 05:57 Iteration 00055100, loss   0.0168, accuracy 99.30, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:58 Iteration 00055200, loss   0.0159, accuracy 99.42, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:58 Iteration 00055300, loss   0.0164, accuracy 99.40, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:58 Iteration 00055400, loss   0.0264, accuracy 99.03, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:58 Iteration 00055500, loss   0.0288, accuracy 99.01, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:59 Iteration 00055600, loss   0.0205, accuracy 99.17, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:59 Iteration 00055700, loss   0.0280, accuracy 99.06, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:59 Iteration 00055800, loss   0.0160, accuracy 99.28, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 05:59 Iteration 00055900, loss   0.0226, accuracy 99.27, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:00 Iteration 00056000, loss   0.0240, accuracy 99.27, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:00 Evaluating..
2020-02-03 06:01 Predicted for 1821 examples.
2020-02-03 06:01 Done predicting in 64.77805233001709 seconds.
2020-02-03 06:01   Evaluation Accuracy: 97.75 Exact Match: 91.27  Target Accuracy:  0.00
2020-02-03 06:01 Iteration 00056100, loss   0.0215, accuracy 99.24, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:01 Iteration 00056200, loss   0.0312, accuracy 99.11, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:02 Iteration 00056300, loss   0.0261, accuracy 99.10, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:02 Iteration 00056400, loss   0.0188, accuracy 99.18, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:02 Iteration 00056500, loss   0.0187, accuracy 99.35, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:02 Iteration 00056600, loss   0.0232, accuracy 99.08, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:03 Iteration 00056700, loss   0.0258, accuracy 99.21, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:03 Iteration 00056800, loss   0.0272, accuracy 99.22, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:03 Iteration 00056900, loss   0.0319, accuracy 98.91, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:04 Iteration 00057000, loss   0.0168, accuracy 99.28, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:04 Evaluating..
2020-02-03 06:05 Predicted for 1821 examples.
2020-02-03 06:05 Done predicting in 64.62457418441772 seconds.
2020-02-03 06:05   Evaluation Accuracy: 97.71 Exact Match: 91.60  Target Accuracy:  0.00
2020-02-03 06:05 Iteration 00057100, loss   0.0258, accuracy 99.21, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:05 Iteration 00057200, loss   0.0218, accuracy 99.25, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:05 Iteration 00057300, loss   0.0210, accuracy 99.35, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:06 Iteration 00057400, loss   0.0156, accuracy 99.48, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:06 Iteration 00057500, loss   0.0241, accuracy 99.07, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:06 Iteration 00057600, loss   0.0243, accuracy 99.10, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:07 Iteration 00057700, loss   0.0265, accuracy 99.15, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:07 Iteration 00057800, loss   0.0201, accuracy 99.19, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:07 Iteration 00057900, loss   0.0210, accuracy 99.29, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:07 Iteration 00058000, loss   0.0244, accuracy 98.97, exact match 90.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:07 Evaluating..
2020-02-03 06:08 Predicted for 1821 examples.
2020-02-03 06:08 Done predicting in 64.57404375076294 seconds.
2020-02-03 06:08   Evaluation Accuracy: 97.73 Exact Match: 91.32  Target Accuracy:  0.00
2020-02-03 06:09 Iteration 00058100, loss   0.0235, accuracy 99.16, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:09 Iteration 00058200, loss   0.0261, accuracy 99.16, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:09 Iteration 00058300, loss   0.0208, accuracy 99.21, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:10 Iteration 00058400, loss   0.0236, accuracy 99.04, exact match 90.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 06:10 Iteration 00058500, loss   0.0119, accuracy 99.63, exact match 96.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:10 Iteration 00058600, loss   0.0209, accuracy 99.20, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:10 Iteration 00058700, loss   0.0158, accuracy 99.33, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:11 Iteration 00058800, loss   0.0189, accuracy 99.44, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:11 Iteration 00058900, loss   0.0174, accuracy 99.28, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:11 Iteration 00059000, loss   0.0144, accuracy 99.35, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:11 Evaluating..
2020-02-03 06:12 Predicted for 1821 examples.
2020-02-03 06:12 Done predicting in 64.70848298072815 seconds.
2020-02-03 06:12   Evaluation Accuracy: 97.85 Exact Match: 91.93  Target Accuracy:  0.00
2020-02-03 06:13 Iteration 00059100, loss   0.0226, accuracy 99.04, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:13 Iteration 00059200, loss   0.0127, accuracy 99.37, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:13 Iteration 00059300, loss   0.0225, accuracy 99.11, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:13 Iteration 00059400, loss   0.0235, accuracy 99.19, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:14 Iteration 00059500, loss   0.0200, accuracy 99.49, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:14 Iteration 00059600, loss   0.0187, accuracy 99.43, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:14 Iteration 00059700, loss   0.0254, accuracy 99.29, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:14 Iteration 00059800, loss   0.0225, accuracy 99.25, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:15 Iteration 00059900, loss   0.0277, accuracy 99.13, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:15 Iteration 00060000, loss   0.0282, accuracy 99.06, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:15 Evaluating..
2020-02-03 06:16 Predicted for 1821 examples.
2020-02-03 06:16 Done predicting in 64.65763282775879 seconds.
2020-02-03 06:16   Evaluation Accuracy: 97.57 Exact Match: 90.77  Target Accuracy:  0.00
2020-02-03 06:16 Iteration 00060100, loss   0.0211, accuracy 99.02, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:17 Iteration 00060200, loss   0.0341, accuracy 98.88, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:17 Iteration 00060300, loss   0.0184, accuracy 99.28, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:17 Iteration 00060400, loss   0.0174, accuracy 99.25, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:17 Iteration 00060500, loss   0.0177, accuracy 99.47, exact match 95.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:18 Iteration 00060600, loss   0.0191, accuracy 99.36, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:18 Iteration 00060700, loss   0.0189, accuracy 99.52, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:18 Iteration 00060800, loss   0.0216, accuracy 99.11, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:18 Iteration 00060900, loss   0.0229, accuracy 99.15, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:19 Iteration 00061000, loss   0.0196, accuracy 99.21, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 06:19 Evaluating..
2020-02-03 06:20 Predicted for 1821 examples.
2020-02-03 06:20 Done predicting in 64.72724032402039 seconds.
2020-02-03 06:20   Evaluation Accuracy: 97.71 Exact Match: 91.27  Target Accuracy:  0.00
2020-02-03 06:20 Iteration 00061100, loss   0.0253, accuracy 98.96, exact match 89.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:20 Iteration 00061200, loss   0.0154, accuracy 99.33, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:21 Iteration 00061300, loss   0.0226, accuracy 99.06, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:21 Iteration 00061400, loss   0.0207, accuracy 99.20, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:21 Iteration 00061500, loss   0.0165, accuracy 99.52, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:21 Iteration 00061600, loss   0.0227, accuracy 99.45, exact match 94.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:22 Iteration 00061700, loss   0.0154, accuracy 99.47, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:22 Iteration 00061800, loss   0.0215, accuracy 99.20, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:22 Iteration 00061900, loss   0.0141, accuracy 99.54, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:23 Iteration 00062000, loss   0.0177, accuracy 99.43, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:23 Evaluating..
2020-02-03 06:24 Predicted for 1821 examples.
2020-02-03 06:24 Done predicting in 64.72496604919434 seconds.
2020-02-03 06:24   Evaluation Accuracy: 97.53 Exact Match: 91.76  Target Accuracy:  0.00
2020-02-03 06:24 Iteration 00062100, loss   0.0198, accuracy 99.24, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:24 Iteration 00062200, loss   0.0230, accuracy 99.08, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:24 Iteration 00062300, loss   0.0267, accuracy 99.32, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:25 Iteration 00062400, loss   0.0278, accuracy 98.92, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:25 Iteration 00062500, loss   0.0153, accuracy 99.53, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:25 Iteration 00062600, loss   0.0186, accuracy 99.24, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:26 Iteration 00062700, loss   0.0156, accuracy 99.33, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:26 Iteration 00062800, loss   0.0259, accuracy 99.04, exact match 90.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:26 Iteration 00062900, loss   0.0207, accuracy 99.25, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:26 Iteration 00063000, loss   0.0205, accuracy 99.38, exact match 94.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:26 Evaluating..
2020-02-03 06:27 Predicted for 1821 examples.
2020-02-03 06:27 Done predicting in 64.64826655387878 seconds.
2020-02-03 06:27   Evaluation Accuracy: 97.81 Exact Match: 91.65  Target Accuracy:  0.00
2020-02-03 06:28 Iteration 00063100, loss   0.0256, accuracy 99.02, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:28 Iteration 00063200, loss   0.0204, accuracy 99.04, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:28 Iteration 00063300, loss   0.0160, accuracy 99.49, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:29 Iteration 00063400, loss   0.0232, accuracy 99.19, exact match 92.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:29 Iteration 00063500, loss   0.0218, accuracy 99.24, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:29 Iteration 00063600, loss   0.0207, accuracy 99.30, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 06:29 Iteration 00063700, loss   0.0213, accuracy 99.25, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:30 Iteration 00063800, loss   0.0221, accuracy 99.39, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:30 Iteration 00063900, loss   0.0202, accuracy 99.01, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:30 Iteration 00064000, loss   0.0142, accuracy 99.45, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:30 Evaluating..
2020-02-03 06:31 Predicted for 1821 examples.
2020-02-03 06:31 Done predicting in 64.81846904754639 seconds.
2020-02-03 06:31   Evaluation Accuracy: 97.96 Exact Match: 92.70  Target Accuracy:  0.00
2020-02-03 06:32 Iteration 00064100, loss   0.0158, accuracy 99.48, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:32 Iteration 00064200, loss   0.0260, accuracy 99.07, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:32 Iteration 00064300, loss   0.0189, accuracy 99.40, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:32 Iteration 00064400, loss   0.0212, accuracy 99.26, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:33 Iteration 00064500, loss   0.0165, accuracy 99.38, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:33 Iteration 00064600, loss   0.0187, accuracy 99.33, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:33 Iteration 00064700, loss   0.0152, accuracy 99.47, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:33 Iteration 00064800, loss   0.0250, accuracy 99.08, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:34 Iteration 00064900, loss   0.0215, accuracy 99.18, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:34 Iteration 00065000, loss   0.0131, accuracy 99.67, exact match 96.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:34 Evaluating..
2020-02-03 06:35 Predicted for 1821 examples.
2020-02-03 06:35 Done predicting in 64.51157426834106 seconds.
2020-02-03 06:35   Evaluation Accuracy: 97.84 Exact Match: 92.20  Target Accuracy:  0.00
2020-02-03 06:35 Iteration 00065100, loss   0.0184, accuracy 99.47, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:36 Iteration 00065200, loss   0.0232, accuracy 99.12, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:36 Iteration 00065300, loss   0.0200, accuracy 99.21, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:36 Iteration 00065400, loss   0.0161, accuracy 99.34, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:36 Iteration 00065500, loss   0.0126, accuracy 99.67, exact match 97.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:37 Iteration 00065600, loss   0.0186, accuracy 99.38, exact match 93.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:37 Iteration 00065700, loss   0.0336, accuracy 98.91, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:37 Iteration 00065800, loss   0.0179, accuracy 99.37, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:37 Iteration 00065900, loss   0.0156, accuracy 99.27, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:38 Iteration 00066000, loss   0.0195, accuracy 99.33, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:38 Evaluating..
2020-02-03 06:39 Predicted for 1821 examples.
2020-02-03 06:39 Done predicting in 64.64986419677734 seconds.
2020-02-03 06:39   Evaluation Accuracy: 98.09 Exact Match: 92.37  Target Accuracy:  0.00
2020-02-03 06:39 Iteration 00066100, loss   0.0194, accuracy 99.29, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:39 Iteration 00066200, loss   0.0261, accuracy 99.12, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:40 Iteration 00066300, loss   0.0343, accuracy 98.92, exact match 89.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 06:40 Iteration 00066400, loss   0.0154, accuracy 99.28, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:40 Iteration 00066500, loss   0.0172, accuracy 99.34, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:40 Iteration 00066600, loss   0.0110, accuracy 99.57, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:41 Iteration 00066700, loss   0.0180, accuracy 99.34, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:41 Iteration 00066800, loss   0.0112, accuracy 99.53, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:41 Iteration 00066900, loss   0.0243, accuracy 99.09, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:42 Iteration 00067000, loss   0.0227, accuracy 99.26, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:42 Evaluating..
2020-02-03 06:43 Predicted for 1821 examples.
2020-02-03 06:43 Done predicting in 64.64391875267029 seconds.
2020-02-03 06:43   Evaluation Accuracy: 97.81 Exact Match: 92.20  Target Accuracy:  0.00
2020-02-03 06:43 Iteration 00067100, loss   0.0269, accuracy 98.93, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:43 Iteration 00067200, loss   0.0139, accuracy 99.59, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:43 Iteration 00067300, loss   0.0206, accuracy 99.16, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:44 Iteration 00067400, loss   0.0223, accuracy 99.07, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:44 Iteration 00067500, loss   0.0175, accuracy 99.37, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:44 Iteration 00067600, loss   0.0144, accuracy 99.43, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:45 Iteration 00067700, loss   0.0185, accuracy 99.42, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:45 Iteration 00067800, loss   0.0232, accuracy 99.29, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:45 Iteration 00067900, loss   0.0176, accuracy 99.34, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:45 Iteration 00068000, loss   0.0193, accuracy 99.34, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:45 Evaluating..
2020-02-03 06:46 Predicted for 1821 examples.
2020-02-03 06:46 Done predicting in 64.6025402545929 seconds.
2020-02-03 06:46   Evaluation Accuracy: 97.90 Exact Match: 92.42  Target Accuracy:  0.00
2020-02-03 06:47 Iteration 00068100, loss   0.0169, accuracy 99.43, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:47 Iteration 00068200, loss   0.0183, accuracy 99.24, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:47 Iteration 00068300, loss   0.0180, accuracy 99.50, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:48 Iteration 00068400, loss   0.0275, accuracy 99.25, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:48 Iteration 00068500, loss   0.0184, accuracy 99.24, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:48 Iteration 00068600, loss   0.0128, accuracy 99.63, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:48 Iteration 00068700, loss   0.0135, accuracy 99.61, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:49 Iteration 00068800, loss   0.0110, accuracy 99.62, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:49 Iteration 00068900, loss   0.0166, accuracy 99.39, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:49 Iteration 00069000, loss   0.0148, accuracy 99.44, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 06:49 Evaluating..
2020-02-03 06:50 Predicted for 1821 examples.
2020-02-03 06:50 Done predicting in 64.56077742576599 seconds.
2020-02-03 06:50   Evaluation Accuracy: 97.86 Exact Match: 92.42  Target Accuracy:  0.00
2020-02-03 06:51 Iteration 00069100, loss   0.0143, accuracy 99.63, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:51 Iteration 00069200, loss   0.0194, accuracy 99.29, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:51 Iteration 00069300, loss   0.0243, accuracy 99.20, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:51 Iteration 00069400, loss   0.0248, accuracy 98.86, exact match 90.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:52 Iteration 00069500, loss   0.0188, accuracy 99.62, exact match 96.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:52 Iteration 00069600, loss   0.0149, accuracy 99.51, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:52 Iteration 00069700, loss   0.0212, accuracy 99.19, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:52 Iteration 00069800, loss   0.0178, accuracy 99.37, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:53 Iteration 00069900, loss   0.0175, accuracy 99.29, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:53 Iteration 00070000, loss   0.0207, accuracy 99.30, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:53 Evaluating..
2020-02-03 06:54 Predicted for 1821 examples.
2020-02-03 06:54 Done predicting in 64.63000130653381 seconds.
2020-02-03 06:54   Evaluation Accuracy: 97.91 Exact Match: 92.09  Target Accuracy:  0.00
2020-02-03 06:54 Iteration 00070100, loss   0.0320, accuracy 99.02, exact match 91.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:55 Iteration 00070200, loss   0.0281, accuracy 99.06, exact match 91.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:55 Iteration 00070300, loss   0.0149, accuracy 99.39, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:55 Iteration 00070400, loss   0.0166, accuracy 99.40, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:55 Iteration 00070500, loss   0.0118, accuracy 99.63, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:56 Iteration 00070600, loss   0.0116, accuracy 99.41, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:56 Iteration 00070700, loss   0.0120, accuracy 99.62, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:56 Iteration 00070800, loss   0.0127, accuracy 99.56, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:56 Iteration 00070900, loss   0.0156, accuracy 99.42, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:57 Iteration 00071000, loss   0.0117, accuracy 99.58, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:57 Evaluating..
2020-02-03 06:58 Predicted for 1821 examples.
2020-02-03 06:58 Done predicting in 64.84068131446838 seconds.
2020-02-03 06:58   Evaluation Accuracy: 98.11 Exact Match: 92.86  Target Accuracy:  0.00
2020-02-03 06:58 Iteration 00071100, loss   0.0181, accuracy 99.31, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:58 Iteration 00071200, loss   0.0144, accuracy 99.52, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:59 Iteration 00071300, loss   0.0183, accuracy 99.22, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:59 Iteration 00071400, loss   0.0228, accuracy 99.28, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:59 Iteration 00071500, loss   0.0203, accuracy 99.32, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 06:59 Iteration 00071600, loss   0.0186, accuracy 99.58, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 07:00 Iteration 00071700, loss   0.0156, accuracy 99.48, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 07:00 Iteration 00071800, loss   0.0174, accuracy 99.43, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 07:00 Iteration 00071900, loss   0.0228, accuracy 99.36, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:01 Iteration 00072000, loss   0.0117, accuracy 99.53, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:01 Evaluating..
2020-02-03 07:02 Predicted for 1821 examples.
2020-02-03 07:02 Done predicting in 64.65782499313354 seconds.
2020-02-03 07:02   Evaluation Accuracy: 98.13 Exact Match: 93.14  Target Accuracy:  0.00
2020-02-03 07:02 Iteration 00072100, loss   0.0200, accuracy 99.39, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:02 Iteration 00072200, loss   0.0147, accuracy 99.48, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:02 Iteration 00072300, loss   0.0136, accuracy 99.56, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:03 Iteration 00072400, loss   0.0210, accuracy 99.19, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:03 Iteration 00072500, loss   0.0146, accuracy 99.49, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:03 Iteration 00072600, loss   0.0221, accuracy 99.07, exact match 90.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:04 Iteration 00072700, loss   0.0146, accuracy 99.38, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:04 Iteration 00072800, loss   0.0147, accuracy 99.52, exact match 95.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:04 Iteration 00072900, loss   0.0209, accuracy 99.16, exact match 91.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:04 Iteration 00073000, loss   0.0153, accuracy 99.57, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:04 Evaluating..
2020-02-03 07:05 Predicted for 1821 examples.
2020-02-03 07:05 Done predicting in 64.61134052276611 seconds.
2020-02-03 07:05   Evaluation Accuracy: 97.87 Exact Match: 92.59  Target Accuracy:  0.00
2020-02-03 07:06 Iteration 00073100, loss   0.0144, accuracy 99.46, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:06 Iteration 00073200, loss   0.0137, accuracy 99.53, exact match 95.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:06 Iteration 00073300, loss   0.0075, accuracy 99.86, exact match 98.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:07 Iteration 00073400, loss   0.0129, accuracy 99.53, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:07 Iteration 00073500, loss   0.0177, accuracy 99.21, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:07 Iteration 00073600, loss   0.0224, accuracy 99.18, exact match 91.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:07 Iteration 00073700, loss   0.0072, accuracy 99.81, exact match 98.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:08 Iteration 00073800, loss   0.0143, accuracy 99.56, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:08 Iteration 00073900, loss   0.0224, accuracy 99.19, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:08 Iteration 00074000, loss   0.0150, accuracy 99.42, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:08 Evaluating..
2020-02-03 07:09 Predicted for 1821 examples.
2020-02-03 07:09 Done predicting in 64.61866426467896 seconds.
2020-02-03 07:09   Evaluation Accuracy: 98.23 Exact Match: 93.68  Target Accuracy:  0.00
2020-02-03 07:10 Iteration 00074100, loss   0.0146, accuracy 99.51, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:10 Iteration 00074200, loss   0.0113, accuracy 99.56, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:10 Iteration 00074300, loss   0.0129, accuracy 99.46, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:10 Iteration 00074400, loss   0.0178, accuracy 99.50, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:11 Iteration 00074500, loss   0.0211, accuracy 99.19, exact match 91.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:11 Iteration 00074600, loss   0.0316, accuracy 99.01, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 07:11 Iteration 00074700, loss   0.0190, accuracy 99.47, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:11 Iteration 00074800, loss   0.0182, accuracy 99.41, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:12 Iteration 00074900, loss   0.0177, accuracy 99.44, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:12 Iteration 00075000, loss   0.0140, accuracy 99.55, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:12 Evaluating..
2020-02-03 07:13 Predicted for 1821 examples.
2020-02-03 07:13 Done predicting in 64.58999156951904 seconds.
2020-02-03 07:13   Evaluation Accuracy: 98.28 Exact Match: 93.63  Target Accuracy:  0.00
2020-02-03 07:13 Iteration 00075100, loss   0.0122, accuracy 99.71, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:14 Iteration 00075200, loss   0.0111, accuracy 99.52, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:14 Iteration 00075300, loss   0.0174, accuracy 99.15, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:14 Iteration 00075400, loss   0.0130, accuracy 99.63, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:14 Iteration 00075500, loss   0.0073, accuracy 99.86, exact match 98.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:15 Iteration 00075600, loss   0.0259, accuracy 99.11, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:15 Iteration 00075700, loss   0.0257, accuracy 98.94, exact match 90.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:15 Iteration 00075800, loss   0.0119, accuracy 99.61, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:16 Iteration 00075900, loss   0.0114, accuracy 99.67, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:16 Iteration 00076000, loss   0.0163, accuracy 99.53, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:16 Evaluating..
2020-02-03 07:17 Predicted for 1821 examples.
2020-02-03 07:17 Done predicting in 64.67340111732483 seconds.
2020-02-03 07:17   Evaluation Accuracy: 98.18 Exact Match: 93.30  Target Accuracy:  0.00
2020-02-03 07:17 Iteration 00076100, loss   0.0168, accuracy 99.27, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:17 Iteration 00076200, loss   0.0252, accuracy 99.36, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:18 Iteration 00076300, loss   0.0187, accuracy 99.40, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:18 Iteration 00076400, loss   0.0164, accuracy 99.47, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:18 Iteration 00076500, loss   0.0203, accuracy 99.43, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:18 Iteration 00076600, loss   0.0171, accuracy 99.52, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:19 Iteration 00076700, loss   0.0099, accuracy 99.67, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:19 Iteration 00076800, loss   0.0096, accuracy 99.59, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:19 Iteration 00076900, loss   0.0146, accuracy 99.57, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:20 Iteration 00077000, loss   0.0191, accuracy 99.30, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:20 Evaluating..
2020-02-03 07:21 Predicted for 1821 examples.
2020-02-03 07:21 Done predicting in 64.7527265548706 seconds.
2020-02-03 07:21   Evaluation Accuracy: 98.30 Exact Match: 93.30  Target Accuracy:  0.00
2020-02-03 07:21 Iteration 00077100, loss   0.0154, accuracy 99.29, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:21 Iteration 00077200, loss   0.0098, accuracy 99.67, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:21 Iteration 00077300, loss   0.0131, accuracy 99.72, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:22 Iteration 00077400, loss   0.0216, accuracy 99.13, exact match 91.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 07:22 Iteration 00077500, loss   0.0128, accuracy 99.53, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:22 Iteration 00077600, loss   0.0182, accuracy 99.35, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:23 Iteration 00077700, loss   0.0164, accuracy 99.35, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:23 Iteration 00077800, loss   0.0227, accuracy 99.25, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:23 Iteration 00077900, loss   0.0180, accuracy 99.41, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:23 Iteration 00078000, loss   0.0174, accuracy 99.42, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:23 Evaluating..
2020-02-03 07:24 Predicted for 1821 examples.
2020-02-03 07:24 Done predicting in 64.90835809707642 seconds.
2020-02-03 07:24   Evaluation Accuracy: 98.08 Exact Match: 93.14  Target Accuracy:  0.00
2020-02-03 07:25 Iteration 00078100, loss   0.0166, accuracy 99.39, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:25 Iteration 00078200, loss   0.0115, accuracy 99.58, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:25 Iteration 00078300, loss   0.0114, accuracy 99.47, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:26 Iteration 00078400, loss   0.0213, accuracy 99.19, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:26 Iteration 00078500, loss   0.0192, accuracy 99.44, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:26 Iteration 00078600, loss   0.0199, accuracy 99.30, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:26 Iteration 00078700, loss   0.0192, accuracy 99.34, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:27 Iteration 00078800, loss   0.0190, accuracy 99.45, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:27 Iteration 00078900, loss   0.0152, accuracy 99.47, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:27 Iteration 00079000, loss   0.0191, accuracy 99.29, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:27 Evaluating..
2020-02-03 07:28 Predicted for 1821 examples.
2020-02-03 07:28 Done predicting in 64.71206498146057 seconds.
2020-02-03 07:28   Evaluation Accuracy: 98.11 Exact Match: 93.36  Target Accuracy:  0.00
2020-02-03 07:29 Iteration 00079100, loss   0.0157, accuracy 99.43, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:29 Iteration 00079200, loss   0.0167, accuracy 99.40, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:29 Iteration 00079300, loss   0.0080, accuracy 99.71, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:29 Iteration 00079400, loss   0.0139, accuracy 99.43, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:30 Iteration 00079500, loss   0.0183, accuracy 99.34, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:30 Iteration 00079600, loss   0.0194, accuracy 99.30, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:30 Iteration 00079700, loss   0.0120, accuracy 99.51, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:30 Iteration 00079800, loss   0.0151, accuracy 99.48, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:31 Iteration 00079900, loss   0.0106, accuracy 99.77, exact match 98.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:31 Iteration 00080000, loss   0.0099, accuracy 99.72, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:31 Evaluating..
2020-02-03 07:32 Predicted for 1821 examples.
2020-02-03 07:32 Done predicting in 65.0060498714447 seconds.
2020-02-03 07:32   Evaluation Accuracy: 98.31 Exact Match: 93.36  Target Accuracy:  0.00
2020-02-03 07:32 Iteration 00080100, loss   0.0157, accuracy 99.41, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:33 Iteration 00080200, loss   0.0104, accuracy 99.81, exact match 98.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:33 Iteration 00080300, loss   0.0154, accuracy 99.41, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 07:33 Iteration 00080400, loss   0.0097, accuracy 99.71, exact match 97.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:33 Iteration 00080500, loss   0.0140, accuracy 99.57, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:34 Iteration 00080600, loss   0.0161, accuracy 99.22, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:34 Iteration 00080700, loss   0.0159, accuracy 99.48, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:34 Iteration 00080800, loss   0.0075, accuracy 99.71, exact match 97.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:35 Iteration 00080900, loss   0.0186, accuracy 99.57, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:35 Iteration 00081000, loss   0.0097, accuracy 99.65, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:35 Evaluating..
2020-02-03 07:36 Predicted for 1821 examples.
2020-02-03 07:36 Done predicting in 64.86201095581055 seconds.
2020-02-03 07:36   Evaluation Accuracy: 98.40 Exact Match: 93.96  Target Accuracy:  0.00
2020-02-03 07:36 Iteration 00081100, loss   0.0145, accuracy 99.46, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:36 Iteration 00081200, loss   0.0143, accuracy 99.39, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:37 Iteration 00081300, loss   0.0250, accuracy 99.14, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:37 Iteration 00081400, loss   0.0173, accuracy 99.48, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:37 Iteration 00081500, loss   0.0175, accuracy 99.35, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:38 Iteration 00081600, loss   0.0124, accuracy 99.58, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:38 Iteration 00081700, loss   0.0179, accuracy 99.37, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:38 Iteration 00081800, loss   0.0105, accuracy 99.49, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:38 Iteration 00081900, loss   0.0113, accuracy 99.65, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:39 Iteration 00082000, loss   0.0156, accuracy 99.38, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:39 Evaluating..
2020-02-03 07:40 Predicted for 1821 examples.
2020-02-03 07:40 Done predicting in 64.71222567558289 seconds.
2020-02-03 07:40   Evaluation Accuracy: 98.41 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-03 07:40 Iteration 00082100, loss   0.0138, accuracy 99.62, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:40 Iteration 00082200, loss   0.0150, accuracy 99.39, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:40 Iteration 00082300, loss   0.0154, accuracy 99.71, exact match 97.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:41 Iteration 00082400, loss   0.0221, accuracy 99.33, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:41 Iteration 00082500, loss   0.0155, accuracy 99.44, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:41 Iteration 00082600, loss   0.0281, accuracy 99.00, exact match 91.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:42 Iteration 00082700, loss   0.0138, accuracy 99.51, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:42 Iteration 00082800, loss   0.0159, accuracy 99.45, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:42 Iteration 00082900, loss   0.0118, accuracy 99.63, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:42 Iteration 00083000, loss   0.0136, accuracy 99.49, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:42 Evaluating..
2020-02-03 07:43 Predicted for 1821 examples.
2020-02-03 07:43 Done predicting in 64.49369311332703 seconds.
2020-02-03 07:43   Evaluation Accuracy: 98.33 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-03 07:44 Iteration 00083100, loss   0.0127, accuracy 99.53, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:44 Iteration 00083200, loss   0.0101, accuracy 99.68, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 07:44 Iteration 00083300, loss   0.0148, accuracy 99.49, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:45 Iteration 00083400, loss   0.0098, accuracy 99.76, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:45 Iteration 00083500, loss   0.0181, accuracy 99.34, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:45 Iteration 00083600, loss   0.0096, accuracy 99.63, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:45 Iteration 00083700, loss   0.0074, accuracy 99.77, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:46 Iteration 00083800, loss   0.0136, accuracy 99.58, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:46 Iteration 00083900, loss   0.0086, accuracy 99.67, exact match 96.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:46 Iteration 00084000, loss   0.0149, accuracy 99.52, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:46 Evaluating..
2020-02-03 07:47 Predicted for 1821 examples.
2020-02-03 07:47 Done predicting in 64.74570965766907 seconds.
2020-02-03 07:47   Evaluation Accuracy: 98.20 Exact Match: 93.30  Target Accuracy:  0.00
2020-02-03 07:48 Iteration 00084100, loss   0.0168, accuracy 99.42, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:48 Iteration 00084200, loss   0.0141, accuracy 99.52, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:48 Iteration 00084300, loss   0.0106, accuracy 99.55, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:48 Iteration 00084400, loss   0.0115, accuracy 99.56, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:49 Iteration 00084500, loss   0.0068, accuracy 99.76, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:49 Iteration 00084600, loss   0.0127, accuracy 99.56, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:49 Iteration 00084700, loss   0.0191, accuracy 99.24, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:49 Iteration 00084800, loss   0.0069, accuracy 99.75, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:50 Iteration 00084900, loss   0.0130, accuracy 99.55, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:50 Iteration 00085000, loss   0.0173, accuracy 99.50, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:50 Evaluating..
2020-02-03 07:51 Predicted for 1821 examples.
2020-02-03 07:51 Done predicting in 64.51814937591553 seconds.
2020-02-03 07:51   Evaluation Accuracy: 97.99 Exact Match: 92.64  Target Accuracy:  0.00
2020-02-03 07:51 Iteration 00085100, loss   0.0176, accuracy 99.35, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:52 Iteration 00085200, loss   0.0224, accuracy 99.24, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:52 Iteration 00085300, loss   0.0146, accuracy 99.47, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:52 Iteration 00085400, loss   0.0222, accuracy 99.26, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:52 Iteration 00085500, loss   0.0129, accuracy 99.63, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:53 Iteration 00085600, loss   0.0150, accuracy 99.49, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:53 Iteration 00085700, loss   0.0134, accuracy 99.52, exact match 96.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:53 Iteration 00085800, loss   0.0133, accuracy 99.52, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:54 Iteration 00085900, loss   0.0177, accuracy 99.34, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:54 Iteration 00086000, loss   0.0141, accuracy 99.46, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:54 Evaluating..
2020-02-03 07:55 Predicted for 1821 examples.
2020-02-03 07:55 Done predicting in 64.59693717956543 seconds.
2020-02-03 07:55   Evaluation Accuracy: 98.01 Exact Match: 93.08  Target Accuracy:  0.00
2020-02-03 07:55 Iteration 00086100, loss   0.0110, accuracy 99.71, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:55 Iteration 00086200, loss   0.0129, accuracy 99.54, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 07:56 Iteration 00086300, loss   0.0083, accuracy 99.77, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:56 Iteration 00086400, loss   0.0121, accuracy 99.52, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:56 Iteration 00086500, loss   0.0168, accuracy 99.40, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:57 Iteration 00086600, loss   0.0104, accuracy 99.67, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:57 Iteration 00086700, loss   0.0130, accuracy 99.49, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:57 Iteration 00086800, loss   0.0141, accuracy 99.39, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:57 Iteration 00086900, loss   0.0105, accuracy 99.68, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:58 Iteration 00087000, loss   0.0165, accuracy 99.22, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:58 Evaluating..
2020-02-03 07:59 Predicted for 1821 examples.
2020-02-03 07:59 Done predicting in 64.69833755493164 seconds.
2020-02-03 07:59   Evaluation Accuracy: 98.18 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 07:59 Iteration 00087100, loss   0.0097, accuracy 99.86, exact match 98.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:59 Iteration 00087200, loss   0.0190, accuracy 99.34, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 07:59 Iteration 00087300, loss   0.0093, accuracy 99.62, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:00 Iteration 00087400, loss   0.0122, accuracy 99.30, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:00 Iteration 00087500, loss   0.0118, accuracy 99.66, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:00 Iteration 00087600, loss   0.0132, accuracy 99.58, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:01 Iteration 00087700, loss   0.0121, accuracy 99.63, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:01 Iteration 00087800, loss   0.0140, accuracy 99.32, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:01 Iteration 00087900, loss   0.0159, accuracy 99.24, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:01 Iteration 00088000, loss   0.0112, accuracy 99.72, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:01 Evaluating..
2020-02-03 08:02 Predicted for 1821 examples.
2020-02-03 08:02 Done predicting in 64.66283917427063 seconds.
2020-02-03 08:02   Evaluation Accuracy: 98.38 Exact Match: 94.12  Target Accuracy:  0.00
2020-02-03 08:03 Iteration 00088100, loss   0.0253, accuracy 99.35, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:03 Iteration 00088200, loss   0.0105, accuracy 99.62, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:03 Iteration 00088300, loss   0.0177, accuracy 99.48, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:04 Iteration 00088400, loss   0.0256, accuracy 99.02, exact match 91.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:04 Iteration 00088500, loss   0.0118, accuracy 99.44, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:04 Iteration 00088600, loss   0.0169, accuracy 99.47, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:04 Iteration 00088700, loss   0.0110, accuracy 99.46, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:05 Iteration 00088800, loss   0.0115, accuracy 99.72, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:05 Iteration 00088900, loss   0.0146, accuracy 99.40, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:05 Iteration 00089000, loss   0.0124, accuracy 99.63, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:05 Evaluating..
2020-02-03 08:06 Predicted for 1821 examples.
2020-02-03 08:06 Done predicting in 64.6612617969513 seconds.
2020-02-03 08:06   Evaluation Accuracy: 98.32 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-03 08:07 Iteration 00089100, loss   0.0169, accuracy 99.39, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:07 Iteration 00089200, loss   0.0137, accuracy 99.51, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 08:07 Iteration 00089300, loss   0.0193, accuracy 99.38, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:07 Iteration 00089400, loss   0.0105, accuracy 99.65, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:08 Iteration 00089500, loss   0.0065, accuracy 99.86, exact match 98.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:08 Iteration 00089600, loss   0.0073, accuracy 99.67, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:08 Iteration 00089700, loss   0.0154, accuracy 99.66, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:08 Iteration 00089800, loss   0.0145, accuracy 99.52, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:09 Iteration 00089900, loss   0.0068, accuracy 99.62, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:09 Iteration 00090000, loss   0.0165, accuracy 99.49, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:09 Evaluating..
2020-02-03 08:10 Predicted for 1821 examples.
2020-02-03 08:10 Done predicting in 64.41606616973877 seconds.
2020-02-03 08:10   Evaluation Accuracy: 98.22 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-03 08:10 Iteration 00090100, loss   0.0105, accuracy 99.64, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:11 Iteration 00090200, loss   0.0235, accuracy 99.04, exact match 91.09, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:11 Iteration 00090300, loss   0.0149, accuracy 99.59, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:11 Iteration 00090400, loss   0.0133, accuracy 99.55, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:11 Iteration 00090500, loss   0.0392, accuracy 99.51, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:12 Iteration 00090600, loss   0.0120, accuracy 99.58, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:12 Iteration 00090700, loss   0.0213, accuracy 99.57, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:12 Iteration 00090800, loss   0.0102, accuracy 99.63, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:13 Iteration 00090900, loss   0.0155, accuracy 99.34, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:13 Iteration 00091000, loss   0.0097, accuracy 99.58, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:13 Evaluating..
2020-02-03 08:14 Predicted for 1821 examples.
2020-02-03 08:14 Done predicting in 64.66064667701721 seconds.
2020-02-03 08:14   Evaluation Accuracy: 98.18 Exact Match: 93.52  Target Accuracy:  0.00
2020-02-03 08:14 Iteration 00091100, loss   0.0117, accuracy 99.58, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:14 Iteration 00091200, loss   0.0107, accuracy 99.61, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:15 Iteration 00091300, loss   0.0128, accuracy 99.57, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:15 Iteration 00091400, loss   0.0138, accuracy 99.48, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:15 Iteration 00091500, loss   0.0099, accuracy 99.56, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:16 Iteration 00091600, loss   0.0116, accuracy 99.52, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:16 Iteration 00091700, loss   0.0103, accuracy 99.66, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:16 Iteration 00091800, loss   0.0099, accuracy 99.80, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:16 Iteration 00091900, loss   0.0099, accuracy 99.63, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:17 Iteration 00092000, loss   0.0165, accuracy 99.33, exact match 93.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:17 Evaluating..
2020-02-03 08:18 Predicted for 1821 examples.
2020-02-03 08:18 Done predicting in 64.48992896080017 seconds.
2020-02-03 08:18   Evaluation Accuracy: 98.31 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-03 08:18 Iteration 00092100, loss   0.0141, accuracy 99.53, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:18 Iteration 00092200, loss   0.0155, accuracy 99.57, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 08:18 Iteration 00092300, loss   0.0115, accuracy 99.57, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:19 Iteration 00092400, loss   0.0132, accuracy 99.52, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:19 Iteration 00092500, loss   0.0110, accuracy 99.50, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:19 Iteration 00092600, loss   0.0060, accuracy 99.71, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:20 Iteration 00092700, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:20 Iteration 00092800, loss   0.0180, accuracy 99.30, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:20 Iteration 00092900, loss   0.0130, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:20 Iteration 00093000, loss   0.0190, accuracy 99.50, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:20 Evaluating..
2020-02-03 08:21 Predicted for 1821 examples.
2020-02-03 08:21 Done predicting in 64.5570285320282 seconds.
2020-02-03 08:21   Evaluation Accuracy: 98.27 Exact Match: 93.79  Target Accuracy:  0.00
2020-02-03 08:22 Iteration 00093100, loss   0.0087, accuracy 99.63, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:22 Iteration 00093200, loss   0.0135, accuracy 99.49, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:22 Iteration 00093300, loss   0.0206, accuracy 99.00, exact match 91.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:23 Iteration 00093400, loss   0.0079, accuracy 99.71, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:23 Iteration 00093500, loss   0.0118, accuracy 99.63, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:23 Iteration 00093600, loss   0.0125, accuracy 99.38, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:23 Iteration 00093700, loss   0.0179, accuracy 99.41, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:24 Iteration 00093800, loss   0.0161, accuracy 99.29, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:24 Iteration 00093900, loss   0.0200, accuracy 99.38, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:24 Iteration 00094000, loss   0.0102, accuracy 99.58, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:24 Evaluating..
2020-02-03 08:25 Predicted for 1821 examples.
2020-02-03 08:25 Done predicting in 64.43691086769104 seconds.
2020-02-03 08:25   Evaluation Accuracy: 98.03 Exact Match: 93.36  Target Accuracy:  0.00
2020-02-03 08:26 Iteration 00094100, loss   0.0134, accuracy 99.53, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:26 Iteration 00094200, loss   0.0179, accuracy 99.21, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:26 Iteration 00094300, loss   0.0106, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:26 Iteration 00094400, loss   0.0104, accuracy 99.53, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:27 Iteration 00094500, loss   0.0149, accuracy 99.36, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:27 Iteration 00094600, loss   0.0098, accuracy 99.72, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:27 Iteration 00094700, loss   0.0107, accuracy 99.66, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:27 Iteration 00094800, loss   0.0098, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:28 Iteration 00094900, loss   0.0071, accuracy 99.68, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:28 Iteration 00095000, loss   0.0268, accuracy 99.27, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:28 Evaluating..
2020-02-03 08:29 Predicted for 1821 examples.
2020-02-03 08:29 Done predicting in 64.58096289634705 seconds.
2020-02-03 08:29   Evaluation Accuracy: 98.28 Exact Match: 93.57  Target Accuracy:  0.00
2020-02-03 08:29 Iteration 00095100, loss   0.0108, accuracy 99.63, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:30 Iteration 00095200, loss   0.0081, accuracy 99.66, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:30 Iteration 00095300, loss   0.0086, accuracy 99.57, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 08:30 Iteration 00095400, loss   0.0165, accuracy 99.52, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:30 Iteration 00095500, loss   0.0144, accuracy 99.55, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:31 Iteration 00095600, loss   0.0050, accuracy 99.86, exact match 98.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:31 Iteration 00095700, loss   0.0211, accuracy 99.48, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:31 Iteration 00095800, loss   0.0087, accuracy 99.67, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:32 Iteration 00095900, loss   0.0182, accuracy 99.47, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:32 Iteration 00096000, loss   0.0139, accuracy 99.54, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:32 Evaluating..
2020-02-03 08:33 Predicted for 1821 examples.
2020-02-03 08:33 Done predicting in 64.66822385787964 seconds.
2020-02-03 08:33   Evaluation Accuracy: 98.18 Exact Match: 93.96  Target Accuracy:  0.00
2020-02-03 08:33 Iteration 00096100, loss   0.0080, accuracy 99.72, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:33 Iteration 00096200, loss   0.0138, accuracy 99.58, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:34 Iteration 00096300, loss   0.0074, accuracy 99.81, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:34 Iteration 00096400, loss   0.0097, accuracy 99.72, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:34 Iteration 00096500, loss   0.0126, accuracy 99.52, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:34 Iteration 00096600, loss   0.0143, accuracy 99.52, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:35 Iteration 00096700, loss   0.0108, accuracy 99.71, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:35 Iteration 00096800, loss   0.0106, accuracy 99.58, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:35 Iteration 00096900, loss   0.0141, accuracy 99.62, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:36 Iteration 00097000, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:36 Evaluating..
2020-02-03 08:37 Predicted for 1821 examples.
2020-02-03 08:37 Done predicting in 64.77021074295044 seconds.
2020-02-03 08:37   Evaluation Accuracy: 98.33 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 08:37 Iteration 00097100, loss   0.0199, accuracy 99.39, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:37 Iteration 00097200, loss   0.0182, accuracy 99.25, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:37 Iteration 00097300, loss   0.0193, accuracy 99.48, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:38 Iteration 00097400, loss   0.0141, accuracy 99.52, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:38 Iteration 00097500, loss   0.0121, accuracy 99.57, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:38 Iteration 00097600, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:39 Iteration 00097700, loss   0.0127, accuracy 99.46, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:39 Iteration 00097800, loss   0.0143, accuracy 99.49, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:39 Iteration 00097900, loss   0.0172, accuracy 99.37, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:39 Iteration 00098000, loss   0.0123, accuracy 99.62, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:39 Evaluating..
2020-02-03 08:40 Predicted for 1821 examples.
2020-02-03 08:40 Done predicting in 64.48236513137817 seconds.
2020-02-03 08:40   Evaluation Accuracy: 98.34 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 08:41 Iteration 00098100, loss   0.0196, accuracy 99.37, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:41 Iteration 00098200, loss   0.0229, accuracy 99.32, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:41 Iteration 00098300, loss   0.0094, accuracy 99.66, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:42 Iteration 00098400, loss   0.0097, accuracy 99.58, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:42 Iteration 00098500, loss   0.0093, accuracy 99.62, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 08:42 Iteration 00098600, loss   0.0141, accuracy 99.59, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:42 Iteration 00098700, loss   0.0112, accuracy 99.64, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:43 Iteration 00098800, loss   0.0148, accuracy 99.61, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:43 Iteration 00098900, loss   0.0161, accuracy 99.62, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:43 Iteration 00099000, loss   0.0144, accuracy 99.46, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:43 Evaluating..
2020-02-03 08:44 Predicted for 1821 examples.
2020-02-03 08:44 Done predicting in 64.6900007724762 seconds.
2020-02-03 08:44   Evaluation Accuracy: 98.32 Exact Match: 93.96  Target Accuracy:  0.00
2020-02-03 08:45 Iteration 00099100, loss   0.0079, accuracy 99.76, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:45 Iteration 00099200, loss   0.0116, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:45 Iteration 00099300, loss   0.0160, accuracy 99.38, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:45 Iteration 00099400, loss   0.0084, accuracy 99.62, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:46 Iteration 00099500, loss   0.0075, accuracy 99.71, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:46 Iteration 00099600, loss   0.0100, accuracy 99.62, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:46 Iteration 00099700, loss   0.0165, accuracy 99.52, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:46 Iteration 00099800, loss   0.0160, accuracy 99.48, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:47 Iteration 00099900, loss   0.0150, accuracy 99.44, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:47 Iteration 00100000, loss   0.0141, accuracy 99.44, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:47 Evaluating..
2020-02-03 08:48 Predicted for 1821 examples.
2020-02-03 08:48 Done predicting in 64.60804557800293 seconds.
2020-02-03 08:48   Evaluation Accuracy: 98.50 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 08:48 Iteration 00100100, loss   0.0086, accuracy 99.71, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:49 Iteration 00100200, loss   0.0166, accuracy 99.68, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:49 Iteration 00100300, loss   0.0086, accuracy 99.86, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:49 Iteration 00100400, loss   0.0119, accuracy 99.63, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:49 Iteration 00100500, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:50 Iteration 00100600, loss   0.0073, accuracy 99.73, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:50 Iteration 00100700, loss   0.0095, accuracy 99.67, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:50 Iteration 00100800, loss   0.0139, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:51 Iteration 00100900, loss   0.0104, accuracy 99.63, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:51 Iteration 00101000, loss   0.0089, accuracy 99.58, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:51 Evaluating..
2020-02-03 08:52 Predicted for 1821 examples.
2020-02-03 08:52 Done predicting in 64.61888718605042 seconds.
2020-02-03 08:52   Evaluation Accuracy: 98.49 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 08:52 Iteration 00101100, loss   0.0112, accuracy 99.72, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:52 Iteration 00101200, loss   0.0107, accuracy 99.56, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:53 Iteration 00101300, loss   0.0097, accuracy 99.63, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:53 Iteration 00101400, loss   0.0068, accuracy 99.81, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:53 Iteration 00101500, loss   0.0074, accuracy 99.81, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:53 Iteration 00101600, loss   0.0080, accuracy 99.85, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:54 Iteration 00101700, loss   0.0084, accuracy 99.71, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-03 08:54 Iteration 00101800, loss   0.0094, accuracy 99.67, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:54 Iteration 00101900, loss   0.0123, accuracy 99.56, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:55 Iteration 00102000, loss   0.0040, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:55 Evaluating..
2020-02-03 08:56 Predicted for 1821 examples.
2020-02-03 08:56 Done predicting in 64.49649739265442 seconds.
2020-02-03 08:56   Evaluation Accuracy: 98.30 Exact Match: 93.90  Target Accuracy:  0.00
2020-02-03 08:56 Iteration 00102100, loss   0.0076, accuracy 99.66, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:56 Iteration 00102200, loss   0.0091, accuracy 99.63, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:56 Iteration 00102300, loss   0.0073, accuracy 99.69, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:57 Iteration 00102400, loss   0.0087, accuracy 99.71, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:57 Iteration 00102500, loss   0.0050, accuracy 99.80, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:57 Iteration 00102600, loss   0.0175, accuracy 99.48, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:58 Iteration 00102700, loss   0.0176, accuracy 99.57, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:58 Iteration 00102800, loss   0.0120, accuracy 99.62, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:58 Iteration 00102900, loss   0.0094, accuracy 99.70, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:58 Iteration 00103000, loss   0.0267, accuracy 99.12, exact match 90.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 08:58 Evaluating..
2020-02-03 08:59 Predicted for 1821 examples.
2020-02-03 08:59 Done predicting in 64.48835945129395 seconds.
2020-02-03 08:59   Evaluation Accuracy: 98.35 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 09:00 Iteration 00103100, loss   0.0086, accuracy 99.62, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:00 Iteration 00103200, loss   0.0071, accuracy 99.71, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:00 Iteration 00103300, loss   0.0185, accuracy 99.28, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:01 Iteration 00103400, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:01 Iteration 00103500, loss   0.0130, accuracy 99.49, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:01 Iteration 00103600, loss   0.0093, accuracy 99.72, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:01 Iteration 00103700, loss   0.0079, accuracy 99.67, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:02 Iteration 00103800, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:02 Iteration 00103900, loss   0.0096, accuracy 99.62, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:02 Iteration 00104000, loss   0.0128, accuracy 99.47, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:02 Evaluating..
2020-02-03 09:03 Predicted for 1821 examples.
2020-02-03 09:03 Done predicting in 64.75846433639526 seconds.
2020-02-03 09:03   Evaluation Accuracy: 98.24 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-03 09:04 Iteration 00104100, loss   0.0073, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:04 Iteration 00104200, loss   0.0118, accuracy 99.49, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:04 Iteration 00104300, loss   0.0111, accuracy 99.67, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:04 Iteration 00104400, loss   0.0084, accuracy 99.72, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:05 Iteration 00104500, loss   0.0163, accuracy 99.41, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:05 Iteration 00104600, loss   0.0124, accuracy 99.60, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:05 Iteration 00104700, loss   0.0162, accuracy 99.56, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:05 Iteration 00104800, loss   0.0107, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:06 Iteration 00104900, loss   0.0129, accuracy 99.57, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:06 Iteration 00105000, loss   0.0059, accuracy 99.77, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-03 09:06 Evaluating..
2020-02-03 09:07 Predicted for 1821 examples.
2020-02-03 09:07 Done predicting in 64.6358551979065 seconds.
2020-02-03 09:07   Evaluation Accuracy: 98.62 Exact Match: 94.67  Target Accuracy:  0.00
2020-02-03 09:07 Iteration 00105100, loss   0.0076, accuracy 99.67, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:08 Iteration 00105200, loss   0.0055, accuracy 99.85, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:08 Iteration 00105300, loss   0.0050, accuracy 99.95, exact match 99.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:08 Iteration 00105400, loss   0.0122, accuracy 99.52, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:08 Iteration 00105500, loss   0.0147, accuracy 99.67, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:09 Iteration 00105600, loss   0.0115, accuracy 99.44, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:09 Iteration 00105700, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:09 Iteration 00105800, loss   0.0107, accuracy 99.66, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:10 Iteration 00105900, loss   0.0158, accuracy 99.24, exact match 92.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:10 Iteration 00106000, loss   0.0074, accuracy 99.72, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:10 Evaluating..
2020-02-03 09:11 Predicted for 1821 examples.
2020-02-03 09:11 Done predicting in 64.53290891647339 seconds.
2020-02-03 09:11   Evaluation Accuracy: 98.57 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-03 09:11 Iteration 00106100, loss   0.0054, accuracy 99.91, exact match 99.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:11 Iteration 00106200, loss   0.0158, accuracy 99.25, exact match 92.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:12 Iteration 00106300, loss   0.0068, accuracy 99.76, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:12 Iteration 00106400, loss   0.0092, accuracy 99.63, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:12 Iteration 00106500, loss   0.0160, accuracy 99.33, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:12 Iteration 00106600, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:13 Iteration 00106700, loss   0.0074, accuracy 99.72, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:13 Iteration 00106800, loss   0.0120, accuracy 99.63, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:13 Iteration 00106900, loss   0.0129, accuracy 99.54, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:14 Iteration 00107000, loss   0.0093, accuracy 99.81, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:14 Evaluating..
2020-02-03 09:15 Predicted for 1821 examples.
2020-02-03 09:15 Done predicting in 64.61917209625244 seconds.
2020-02-03 09:15   Evaluation Accuracy: 98.34 Exact Match: 93.90  Target Accuracy:  0.00
2020-02-03 09:15 Iteration 00107100, loss   0.0159, accuracy 99.53, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:15 Iteration 00107200, loss   0.0072, accuracy 99.81, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:15 Iteration 00107300, loss   0.0077, accuracy 99.76, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:16 Iteration 00107400, loss   0.0202, accuracy 99.58, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:16 Iteration 00107500, loss   0.0035, accuracy 100.00, exact match 100.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:16 Iteration 00107600, loss   0.0092, accuracy 99.57, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:17 Iteration 00107700, loss   0.0100, accuracy 99.61, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:17 Iteration 00107800, loss   0.0076, accuracy 99.76, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:17 Iteration 00107900, loss   0.0108, accuracy 99.64, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:17 Iteration 00108000, loss   0.0129, accuracy 99.43, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:17 Evaluating..
2020-02-03 09:18 Predicted for 1821 examples.
2020-02-03 09:18 Done predicting in 64.60255885124207 seconds.
2020-02-03 09:18   Evaluation Accuracy: 98.49 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-03 09:19 Iteration 00108100, loss   0.0106, accuracy 99.53, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:19 Iteration 00108200, loss   0.0085, accuracy 99.67, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:19 Iteration 00108300, loss   0.0116, accuracy 99.58, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-03 09:20 Iteration 00108400, loss   0.0076, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:20 Iteration 00108500, loss   0.0099, accuracy 99.62, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:20 Iteration 00108600, loss   0.0108, accuracy 99.53, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:20 Iteration 00108700, loss   0.0099, accuracy 99.81, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:21 Iteration 00108800, loss   0.0110, accuracy 99.64, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:21 Iteration 00108900, loss   0.0115, accuracy 99.76, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:21 Iteration 00109000, loss   0.0085, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:21 Evaluating..
2020-02-03 09:22 Predicted for 1821 examples.
2020-02-03 09:22 Done predicting in 64.6021740436554 seconds.
2020-02-03 09:22   Evaluation Accuracy: 98.38 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-03 09:23 Iteration 00109100, loss   0.0047, accuracy 99.77, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:23 Iteration 00109200, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:23 Iteration 00109300, loss   0.0068, accuracy 99.77, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:23 Iteration 00109400, loss   0.0092, accuracy 99.73, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:24 Iteration 00109500, loss   0.0129, accuracy 99.54, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:24 Iteration 00109600, loss   0.0067, accuracy 99.75, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:24 Iteration 00109700, loss   0.0083, accuracy 99.61, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:24 Iteration 00109800, loss   0.0130, accuracy 99.43, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:25 Iteration 00109900, loss   0.0127, accuracy 99.53, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:25 Iteration 00110000, loss   0.0089, accuracy 99.67, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:25 Evaluating..
2020-02-03 09:26 Predicted for 1821 examples.
2020-02-03 09:26 Done predicting in 64.51919984817505 seconds.
2020-02-03 09:26   Evaluation Accuracy: 98.33 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-03 09:26 Iteration 00110100, loss   0.0071, accuracy 99.73, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:27 Iteration 00110200, loss   0.0117, accuracy 99.67, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:27 Iteration 00110300, loss   0.0075, accuracy 99.67, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:27 Iteration 00110400, loss   0.0174, accuracy 99.31, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:27 Iteration 00110500, loss   0.0135, accuracy 99.53, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:28 Iteration 00110600, loss   0.0144, accuracy 99.72, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:28 Iteration 00110700, loss   0.0177, accuracy 99.36, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:28 Iteration 00110800, loss   0.0046, accuracy 99.77, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:28 Iteration 00110900, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:29 Iteration 00111000, loss   0.0068, accuracy 99.86, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:29 Evaluating..
2020-02-03 09:30 Predicted for 1821 examples.
2020-02-03 09:30 Done predicting in 64.6822452545166 seconds.
2020-02-03 09:30   Evaluation Accuracy: 98.09 Exact Match: 93.63  Target Accuracy:  0.00
2020-02-03 09:30 Iteration 00111100, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:30 Iteration 00111200, loss   0.0079, accuracy 99.67, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:31 Iteration 00111300, loss   0.0092, accuracy 99.76, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:31 Iteration 00111400, loss   0.0114, accuracy 99.63, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:31 Iteration 00111500, loss   0.0141, accuracy 99.72, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:31 Iteration 00111600, loss   0.0133, accuracy 99.48, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:32 Iteration 00111700, loss   0.0114, accuracy 99.62, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-03 09:32 Iteration 00111800, loss   0.0104, accuracy 99.62, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:32 Iteration 00111900, loss   0.0078, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:33 Iteration 00112000, loss   0.0099, accuracy 99.67, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:33 Evaluating..
2020-02-03 09:34 Predicted for 1821 examples.
2020-02-03 09:34 Done predicting in 64.59571623802185 seconds.
2020-02-03 09:34   Evaluation Accuracy: 98.52 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-03 09:34 Iteration 00112100, loss   0.0103, accuracy 99.62, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:34 Iteration 00112200, loss   0.0112, accuracy 99.68, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:34 Iteration 00112300, loss   0.0096, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:35 Iteration 00112400, loss   0.0088, accuracy 99.67, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:35 Iteration 00112500, loss   0.0082, accuracy 99.62, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:35 Iteration 00112600, loss   0.0193, accuracy 99.43, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:36 Iteration 00112700, loss   0.0133, accuracy 99.27, exact match 94.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:36 Iteration 00112800, loss   0.0160, accuracy 99.63, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:36 Iteration 00112900, loss   0.0079, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:36 Iteration 00113000, loss   0.0074, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:36 Evaluating..
2020-02-03 09:37 Predicted for 1821 examples.
2020-02-03 09:37 Done predicting in 64.58053231239319 seconds.
2020-02-03 09:37   Evaluation Accuracy: 98.38 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-03 09:38 Iteration 00113100, loss   0.0169, accuracy 99.56, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:38 Iteration 00113200, loss   0.0103, accuracy 99.71, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:38 Iteration 00113300, loss   0.0135, accuracy 99.57, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:39 Iteration 00113400, loss   0.0185, accuracy 99.40, exact match 94.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:39 Iteration 00113500, loss   0.0178, accuracy 99.48, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:39 Iteration 00113600, loss   0.0124, accuracy 99.53, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:39 Iteration 00113700, loss   0.0062, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:40 Iteration 00113800, loss   0.0101, accuracy 99.64, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:40 Iteration 00113900, loss   0.0088, accuracy 99.62, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:40 Iteration 00114000, loss   0.0061, accuracy 99.77, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:40 Evaluating..
2020-02-03 09:41 Predicted for 1821 examples.
2020-02-03 09:41 Done predicting in 64.82392811775208 seconds.
2020-02-03 09:41   Evaluation Accuracy: 98.39 Exact Match: 94.07  Target Accuracy:  0.00
2020-02-03 09:42 Iteration 00114100, loss   0.0161, accuracy 99.51, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:42 Iteration 00114200, loss   0.0075, accuracy 99.67, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:42 Iteration 00114300, loss   0.0143, accuracy 99.48, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:42 Iteration 00114400, loss   0.0089, accuracy 99.63, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:43 Iteration 00114500, loss   0.0133, accuracy 99.43, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:43 Iteration 00114600, loss   0.0179, accuracy 99.48, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:43 Iteration 00114700, loss   0.0075, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:43 Iteration 00114800, loss   0.0035, accuracy 99.95, exact match 99.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:44 Iteration 00114900, loss   0.0071, accuracy 99.77, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:44 Iteration 00115000, loss   0.0034, accuracy 99.95, exact match 99.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:44 Evaluating..
2020-02-03 09:45 Predicted for 1821 examples.
2020-02-03 09:45 Done predicting in 64.64527773857117 seconds.
2020-02-03 09:45   Evaluation Accuracy: 98.47 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-03 09:45 Iteration 00115100, loss   0.0042, accuracy 99.77, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:46 Iteration 00115200, loss   0.0137, accuracy 99.58, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-03 09:46 Iteration 00115300, loss   0.0130, accuracy 99.51, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:46 Iteration 00115400, loss   0.0028, accuracy 99.90, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:46 Iteration 00115500, loss   0.0099, accuracy 99.77, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:47 Iteration 00115600, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:47 Iteration 00115700, loss   0.0112, accuracy 99.61, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:47 Iteration 00115800, loss   0.0135, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:47 Iteration 00115900, loss   0.0134, accuracy 99.53, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:48 Iteration 00116000, loss   0.0106, accuracy 99.55, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:48 Evaluating..
2020-02-03 09:49 Predicted for 1821 examples.
2020-02-03 09:49 Done predicting in 64.58727765083313 seconds.
2020-02-03 09:49   Evaluation Accuracy: 98.38 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 09:49 Iteration 00116100, loss   0.0080, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:49 Iteration 00116200, loss   0.0088, accuracy 99.66, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:50 Iteration 00116300, loss   0.0128, accuracy 99.66, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:50 Iteration 00116400, loss   0.0155, accuracy 99.63, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:50 Iteration 00116500, loss   0.0077, accuracy 99.58, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:50 Iteration 00116600, loss   0.0129, accuracy 99.52, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:51 Iteration 00116700, loss   0.0049, accuracy 99.91, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:51 Iteration 00116800, loss   0.0045, accuracy 99.82, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:51 Iteration 00116900, loss   0.0090, accuracy 99.71, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:52 Iteration 00117000, loss   0.0159, accuracy 99.41, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:52 Evaluating..
2020-02-03 09:53 Predicted for 1821 examples.
2020-02-03 09:53 Done predicting in 64.58144569396973 seconds.
2020-02-03 09:53   Evaluation Accuracy: 98.43 Exact Match: 94.45  Target Accuracy:  0.00
2020-02-03 09:53 Iteration 00117100, loss   0.0108, accuracy 99.48, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:53 Iteration 00117200, loss   0.0070, accuracy 99.77, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:53 Iteration 00117300, loss   0.0072, accuracy 99.72, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:54 Iteration 00117400, loss   0.0160, accuracy 99.43, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:54 Iteration 00117500, loss   0.0118, accuracy 99.73, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:54 Iteration 00117600, loss   0.0091, accuracy 99.62, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:55 Iteration 00117700, loss   0.0039, accuracy 99.91, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:55 Iteration 00117800, loss   0.0117, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:55 Iteration 00117900, loss   0.0088, accuracy 99.67, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:55 Iteration 00118000, loss   0.0100, accuracy 99.62, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:55 Evaluating..
2020-02-03 09:56 Predicted for 1821 examples.
2020-02-03 09:56 Done predicting in 64.74940872192383 seconds.
2020-02-03 09:56   Evaluation Accuracy: 98.51 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-03 09:57 Iteration 00118100, loss   0.0081, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:57 Iteration 00118200, loss   0.0145, accuracy 99.49, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:57 Iteration 00118300, loss   0.0090, accuracy 99.77, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:58 Iteration 00118400, loss   0.0128, accuracy 99.43, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:58 Iteration 00118500, loss   0.0083, accuracy 99.82, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:58 Iteration 00118600, loss   0.0123, accuracy 99.45, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:58 Iteration 00118700, loss   0.0059, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-03 09:59 Iteration 00118800, loss   0.0143, accuracy 99.61, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 09:59 Iteration 00118900, loss   0.0049, accuracy 99.85, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 09:59 Iteration 00119000, loss   0.0134, accuracy 99.49, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 09:59 Evaluating..
2020-02-03 10:00 Predicted for 1821 examples.
2020-02-03 10:00 Done predicting in 64.62680411338806 seconds.
2020-02-03 10:00   Evaluation Accuracy: 98.46 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-03 10:01 Iteration 00119100, loss   0.0088, accuracy 99.72, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:01 Iteration 00119200, loss   0.0141, accuracy 99.55, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:01 Iteration 00119300, loss   0.0067, accuracy 99.80, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:01 Iteration 00119400, loss   0.0109, accuracy 99.57, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:02 Iteration 00119500, loss   0.0075, accuracy 99.75, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:02 Iteration 00119600, loss   0.0101, accuracy 99.57, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:02 Iteration 00119700, loss   0.0130, accuracy 99.43, exact match 94.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:02 Iteration 00119800, loss   0.0096, accuracy 99.73, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:03 Iteration 00119900, loss   0.0100, accuracy 99.54, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:03 Iteration 00120000, loss   0.0114, accuracy 99.53, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:03 Evaluating..
2020-02-03 10:04 Predicted for 1821 examples.
2020-02-03 10:04 Done predicting in 64.49464893341064 seconds.
2020-02-03 10:04   Evaluation Accuracy: 98.30 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-03 10:04 Iteration 00120100, loss   0.0091, accuracy 99.81, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:05 Iteration 00120200, loss   0.0115, accuracy 99.67, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:05 Iteration 00120300, loss   0.0116, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:05 Iteration 00120400, loss   0.0146, accuracy 99.48, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:05 Iteration 00120500, loss   0.0101, accuracy 99.61, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:06 Iteration 00120600, loss   0.0112, accuracy 99.63, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:06 Iteration 00120700, loss   0.0110, accuracy 99.68, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:06 Iteration 00120800, loss   0.0084, accuracy 99.59, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:06 Iteration 00120900, loss   0.0157, accuracy 99.46, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:07 Iteration 00121000, loss   0.0142, accuracy 99.58, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:07 Evaluating..
2020-02-03 10:08 Predicted for 1821 examples.
2020-02-03 10:08 Done predicting in 64.64517402648926 seconds.
2020-02-03 10:08   Evaluation Accuracy: 98.32 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 10:08 Iteration 00121100, loss   0.0083, accuracy 99.70, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:08 Iteration 00121200, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:09 Iteration 00121300, loss   0.0047, accuracy 99.81, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:09 Iteration 00121400, loss   0.0080, accuracy 99.77, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:09 Iteration 00121500, loss   0.0081, accuracy 99.72, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:09 Iteration 00121600, loss   0.0072, accuracy 99.72, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:10 Iteration 00121700, loss   0.0077, accuracy 99.81, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:10 Iteration 00121800, loss   0.0111, accuracy 99.73, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:10 Iteration 00121900, loss   0.0089, accuracy 99.58, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:11 Iteration 00122000, loss   0.0035, accuracy 99.85, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:11 Evaluating..
2020-02-03 10:12 Predicted for 1821 examples.
2020-02-03 10:12 Done predicting in 64.58804988861084 seconds.
2020-02-03 10:12   Evaluation Accuracy: 98.45 Exact Match: 94.67  Target Accuracy:  0.00
2020-02-03 10:12 Iteration 00122100, loss   0.0096, accuracy 99.68, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:12 Iteration 00122200, loss   0.0114, accuracy 99.60, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:12 Iteration 00122300, loss   0.0110, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-03 10:13 Iteration 00122400, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:13 Iteration 00122500, loss   0.0063, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:13 Iteration 00122600, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:14 Iteration 00122700, loss   0.0159, accuracy 99.56, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:14 Iteration 00122800, loss   0.0060, accuracy 99.76, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:14 Iteration 00122900, loss   0.0166, accuracy 99.54, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:14 Iteration 00123000, loss   0.0109, accuracy 99.59, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:14 Evaluating..
2020-02-03 10:15 Predicted for 1821 examples.
2020-02-03 10:15 Done predicting in 64.60875487327576 seconds.
2020-02-03 10:15   Evaluation Accuracy: 98.64 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-03 10:16 Iteration 00123100, loss   0.0098, accuracy 99.53, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:16 Iteration 00123200, loss   0.0094, accuracy 99.52, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:16 Iteration 00123300, loss   0.0085, accuracy 99.67, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:17 Iteration 00123400, loss   0.0071, accuracy 99.63, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:17 Iteration 00123500, loss   0.0119, accuracy 99.51, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:17 Iteration 00123600, loss   0.0087, accuracy 99.58, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:17 Iteration 00123700, loss   0.0079, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:18 Iteration 00123800, loss   0.0045, accuracy 99.82, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:18 Iteration 00123900, loss   0.0041, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:18 Iteration 00124000, loss   0.0026, accuracy 100.00, exact match 100.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:18 Evaluating..
2020-02-03 10:19 Predicted for 1821 examples.
2020-02-03 10:19 Done predicting in 64.57238936424255 seconds.
2020-02-03 10:19   Evaluation Accuracy: 98.47 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-03 10:20 Iteration 00124100, loss   0.0187, accuracy 99.48, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:20 Iteration 00124200, loss   0.0135, accuracy 99.39, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:20 Iteration 00124300, loss   0.0169, accuracy 99.58, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:20 Iteration 00124400, loss   0.0132, accuracy 99.43, exact match 94.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:21 Iteration 00124500, loss   0.0060, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:21 Iteration 00124600, loss   0.0060, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:21 Iteration 00124700, loss   0.0060, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:21 Iteration 00124800, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:22 Iteration 00124900, loss   0.0115, accuracy 99.54, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:22 Iteration 00125000, loss   0.0082, accuracy 99.67, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:22 Evaluating..
2020-02-03 10:23 Predicted for 1821 examples.
2020-02-03 10:23 Done predicting in 64.64818501472473 seconds.
2020-02-03 10:23   Evaluation Accuracy: 98.22 Exact Match: 94.29  Target Accuracy:  0.00
2020-02-03 10:23 Iteration 00125100, loss   0.0097, accuracy 99.66, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:24 Iteration 00125200, loss   0.0114, accuracy 99.55, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:24 Iteration 00125300, loss   0.0124, accuracy 99.67, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:24 Iteration 00125400, loss   0.0125, accuracy 99.66, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:24 Iteration 00125500, loss   0.0105, accuracy 99.57, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:25 Iteration 00125600, loss   0.0039, accuracy 99.82, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:25 Iteration 00125700, loss   0.0056, accuracy 99.77, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:25 Iteration 00125800, loss   0.0171, accuracy 99.58, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:25 Iteration 00125900, loss   0.0099, accuracy 99.81, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-03 10:26 Iteration 00126000, loss   0.0132, accuracy 99.48, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:26 Evaluating..
2020-02-03 10:27 Predicted for 1821 examples.
2020-02-03 10:27 Done predicting in 64.70569276809692 seconds.
2020-02-03 10:27   Evaluation Accuracy: 98.34 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-03 10:27 Iteration 00126100, loss   0.0057, accuracy 99.76, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:27 Iteration 00126200, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:28 Iteration 00126300, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:28 Iteration 00126400, loss   0.0104, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:28 Iteration 00126500, loss   0.0260, accuracy 99.50, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:28 Iteration 00126600, loss   0.0063, accuracy 99.80, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:29 Iteration 00126700, loss   0.0100, accuracy 99.71, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:29 Iteration 00126800, loss   0.0057, accuracy 99.91, exact match 99.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:29 Iteration 00126900, loss   0.0116, accuracy 99.76, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:30 Iteration 00127000, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:30 Evaluating..
2020-02-03 10:31 Predicted for 1821 examples.
2020-02-03 10:31 Done predicting in 64.48846888542175 seconds.
2020-02-03 10:31   Evaluation Accuracy: 98.53 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 10:31 Iteration 00127100, loss   0.0109, accuracy 99.77, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:31 Iteration 00127200, loss   0.0052, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:31 Iteration 00127300, loss   0.0104, accuracy 99.62, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:32 Iteration 00127400, loss   0.0127, accuracy 99.68, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:32 Iteration 00127500, loss   0.0096, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:32 Iteration 00127600, loss   0.0096, accuracy 99.63, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:33 Iteration 00127700, loss   0.0055, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:33 Iteration 00127800, loss   0.0105, accuracy 99.57, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:33 Iteration 00127900, loss   0.0096, accuracy 99.72, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:33 Iteration 00128000, loss   0.0053, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:33 Evaluating..
2020-02-03 10:34 Predicted for 1821 examples.
2020-02-03 10:34 Done predicting in 64.55673694610596 seconds.
2020-02-03 10:34   Evaluation Accuracy: 98.32 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 10:35 Iteration 00128100, loss   0.0121, accuracy 99.52, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:35 Iteration 00128200, loss   0.0134, accuracy 99.71, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:35 Iteration 00128300, loss   0.0106, accuracy 99.66, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:36 Iteration 00128400, loss   0.0089, accuracy 99.63, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:36 Iteration 00128500, loss   0.0067, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:36 Iteration 00128600, loss   0.0100, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:36 Iteration 00128700, loss   0.0065, accuracy 99.71, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:37 Iteration 00128800, loss   0.0103, accuracy 99.66, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:37 Iteration 00128900, loss   0.0050, accuracy 99.82, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:37 Iteration 00129000, loss   0.0075, accuracy 99.71, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:37 Evaluating..
2020-02-03 10:38 Predicted for 1821 examples.
2020-02-03 10:38 Done predicting in 64.70608401298523 seconds.
2020-02-03 10:38   Evaluation Accuracy: 98.47 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-03 10:39 Iteration 00129100, loss   0.0087, accuracy 99.72, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:39 Iteration 00129200, loss   0.0088, accuracy 99.58, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:39 Iteration 00129300, loss   0.0043, accuracy 99.90, exact match 99.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:39 Iteration 00129400, loss   0.0046, accuracy 99.86, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:40 Iteration 00129500, loss   0.0084, accuracy 99.67, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:40 Iteration 00129600, loss   0.0047, accuracy 99.85, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-03 10:40 Iteration 00129700, loss   0.0089, accuracy 99.66, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:40 Iteration 00129800, loss   0.0085, accuracy 99.70, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:41 Iteration 00129900, loss   0.0065, accuracy 99.85, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:41 Iteration 00130000, loss   0.0089, accuracy 99.72, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:41 Evaluating..
2020-02-03 10:42 Predicted for 1821 examples.
2020-02-03 10:42 Done predicting in 64.58782029151917 seconds.
2020-02-03 10:42   Evaluation Accuracy: 98.49 Exact Match: 94.29  Target Accuracy:  0.00
2020-02-03 10:42 Iteration 00130100, loss   0.0063, accuracy 99.76, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:43 Iteration 00130200, loss   0.0159, accuracy 99.52, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:43 Iteration 00130300, loss   0.0072, accuracy 99.72, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:43 Iteration 00130400, loss   0.0151, accuracy 99.56, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:43 Iteration 00130500, loss   0.0076, accuracy 99.71, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:44 Iteration 00130600, loss   0.0091, accuracy 99.67, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:44 Iteration 00130700, loss   0.0073, accuracy 99.66, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:44 Iteration 00130800, loss   0.0085, accuracy 99.77, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:44 Iteration 00130900, loss   0.0083, accuracy 99.62, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:45 Iteration 00131000, loss   0.0054, accuracy 99.85, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:45 Evaluating..
2020-02-03 10:46 Predicted for 1821 examples.
2020-02-03 10:46 Done predicting in 64.76515483856201 seconds.
2020-02-03 10:46   Evaluation Accuracy: 98.31 Exact Match: 94.23  Target Accuracy:  0.00
2020-02-03 10:46 Iteration 00131100, loss   0.0039, accuracy 99.90, exact match 99.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:46 Iteration 00131200, loss   0.0065, accuracy 99.62, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:47 Iteration 00131300, loss   0.0091, accuracy 99.68, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:47 Iteration 00131400, loss   0.0051, accuracy 99.81, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:47 Iteration 00131500, loss   0.0108, accuracy 99.52, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:47 Iteration 00131600, loss   0.0038, accuracy 99.95, exact match 99.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:48 Iteration 00131700, loss   0.0080, accuracy 99.68, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:48 Iteration 00131800, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:48 Iteration 00131900, loss   0.0088, accuracy 99.81, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:49 Iteration 00132000, loss   0.0103, accuracy 99.68, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:49 Evaluating..
2020-02-03 10:50 Predicted for 1821 examples.
2020-02-03 10:50 Done predicting in 64.64302945137024 seconds.
2020-02-03 10:50   Evaluation Accuracy: 98.62 Exact Match: 94.89  Target Accuracy:  0.00
2020-02-03 10:50 Iteration 00132100, loss   0.0032, accuracy 99.95, exact match 99.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:50 Iteration 00132200, loss   0.0084, accuracy 99.66, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:50 Iteration 00132300, loss   0.0114, accuracy 99.58, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:51 Iteration 00132400, loss   0.0114, accuracy 99.72, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:51 Iteration 00132500, loss   0.0081, accuracy 99.81, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:51 Iteration 00132600, loss   0.0138, accuracy 99.76, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:52 Iteration 00132700, loss   0.0056, accuracy 99.90, exact match 99.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:52 Iteration 00132800, loss   0.0088, accuracy 99.67, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:52 Iteration 00132900, loss   0.0107, accuracy 99.58, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:52 Iteration 00133000, loss   0.0072, accuracy 99.72, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:52 Evaluating..
2020-02-03 10:53 Predicted for 1821 examples.
2020-02-03 10:53 Done predicting in 64.59544467926025 seconds.
2020-02-03 10:53   Evaluation Accuracy: 98.64 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 10:54 Iteration 00133100, loss   0.0076, accuracy 99.73, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:54 Iteration 00133200, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:54 Iteration 00133300, loss   0.0059, accuracy 99.80, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:55 Iteration 00133400, loss   0.0070, accuracy 99.81, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-03 10:55 Iteration 00133500, loss   0.0076, accuracy 99.78, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:55 Iteration 00133600, loss   0.0082, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:55 Iteration 00133700, loss   0.0062, accuracy 99.72, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:56 Iteration 00133800, loss   0.0126, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:56 Iteration 00133900, loss   0.0060, accuracy 99.76, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:56 Iteration 00134000, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:56 Evaluating..
2020-02-03 10:57 Predicted for 1821 examples.
2020-02-03 10:57 Done predicting in 64.63997268676758 seconds.
2020-02-03 10:57   Evaluation Accuracy: 98.52 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-03 10:58 Iteration 00134100, loss   0.0152, accuracy 99.51, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:58 Iteration 00134200, loss   0.0083, accuracy 99.78, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:58 Iteration 00134300, loss   0.0087, accuracy 99.58, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:58 Iteration 00134400, loss   0.0073, accuracy 99.86, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:59 Iteration 00134500, loss   0.0081, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:59 Iteration 00134600, loss   0.0060, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:59 Iteration 00134700, loss   0.0038, accuracy 99.80, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 10:59 Iteration 00134800, loss   0.0097, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:00 Iteration 00134900, loss   0.0058, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:00 Iteration 00135000, loss   0.0079, accuracy 99.75, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:00 Evaluating..
2020-02-03 11:01 Predicted for 1821 examples.
2020-02-03 11:01 Done predicting in 64.57619047164917 seconds.
2020-02-03 11:01   Evaluation Accuracy: 98.57 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 11:01 Iteration 00135100, loss   0.0071, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:02 Iteration 00135200, loss   0.0054, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:02 Iteration 00135300, loss   0.0071, accuracy 99.53, exact match 95.05, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:02 Iteration 00135400, loss   0.0117, accuracy 99.48, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:02 Iteration 00135500, loss   0.0081, accuracy 99.71, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:03 Iteration 00135600, loss   0.0081, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:03 Iteration 00135700, loss   0.0072, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:03 Iteration 00135800, loss   0.0066, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:03 Iteration 00135900, loss   0.0073, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:04 Iteration 00136000, loss   0.0124, accuracy 99.61, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:04 Evaluating..
2020-02-03 11:05 Predicted for 1821 examples.
2020-02-03 11:05 Done predicting in 64.63633060455322 seconds.
2020-02-03 11:05   Evaluation Accuracy: 98.67 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 11:05 Iteration 00136100, loss   0.0120, accuracy 99.44, exact match 94.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:05 Iteration 00136200, loss   0.0051, accuracy 99.90, exact match 99.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:06 Iteration 00136300, loss   0.0067, accuracy 99.82, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:06 Iteration 00136400, loss   0.0020, accuracy 99.95, exact match 99.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:06 Iteration 00136500, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:06 Iteration 00136600, loss   0.0083, accuracy 99.77, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:07 Iteration 00136700, loss   0.0074, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:07 Iteration 00136800, loss   0.0058, accuracy 99.85, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:07 Iteration 00136900, loss   0.0071, accuracy 99.66, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:08 Iteration 00137000, loss   0.0116, accuracy 99.44, exact match 94.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:08 Evaluating..
2020-02-03 11:09 Predicted for 1821 examples.
2020-02-03 11:09 Done predicting in 64.6216459274292 seconds.
2020-02-03 11:09   Evaluation Accuracy: 98.62 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 11:09 Iteration 00137100, loss   0.0064, accuracy 99.77, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:09 Iteration 00137200, loss   0.0038, accuracy 99.90, exact match 99.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:09 Iteration 00137300, loss   0.0054, accuracy 99.72, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-03 11:10 Iteration 00137400, loss   0.0148, accuracy 99.66, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:10 Iteration 00137500, loss   0.0062, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:10 Iteration 00137600, loss   0.0043, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:11 Iteration 00137700, loss   0.0095, accuracy 99.55, exact match 95.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:11 Iteration 00137800, loss   0.0123, accuracy 99.62, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:11 Iteration 00137900, loss   0.0081, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:11 Iteration 00138000, loss   0.0089, accuracy 99.58, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:11 Evaluating..
2020-02-03 11:12 Predicted for 1821 examples.
2020-02-03 11:12 Done predicting in 64.54327630996704 seconds.
2020-02-03 11:12   Evaluation Accuracy: 98.49 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-03 11:13 Iteration 00138100, loss   0.0095, accuracy 99.67, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:13 Iteration 00138200, loss   0.0103, accuracy 99.59, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:13 Iteration 00138300, loss   0.0044, accuracy 99.76, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:14 Iteration 00138400, loss   0.0114, accuracy 99.68, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:14 Iteration 00138500, loss   0.0046, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:14 Iteration 00138600, loss   0.0044, accuracy 99.90, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:14 Iteration 00138700, loss   0.0056, accuracy 99.77, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:15 Iteration 00138800, loss   0.0068, accuracy 99.71, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:15 Iteration 00138900, loss   0.0126, accuracy 99.47, exact match 95.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:15 Iteration 00139000, loss   0.0151, accuracy 99.46, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:15 Evaluating..
2020-02-03 11:16 Predicted for 1821 examples.
2020-02-03 11:16 Done predicting in 64.48328065872192 seconds.
2020-02-03 11:16   Evaluation Accuracy: 98.40 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-03 11:17 Iteration 00139100, loss   0.0105, accuracy 99.63, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:17 Iteration 00139200, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:17 Iteration 00139300, loss   0.0119, accuracy 99.68, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:17 Iteration 00139400, loss   0.0106, accuracy 99.66, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:18 Iteration 00139500, loss   0.0109, accuracy 99.66, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:18 Iteration 00139600, loss   0.0106, accuracy 99.53, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:18 Iteration 00139700, loss   0.0113, accuracy 99.72, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:18 Iteration 00139800, loss   0.0052, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:19 Iteration 00139900, loss   0.0092, accuracy 99.53, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:19 Iteration 00140000, loss   0.0083, accuracy 99.71, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:19 Evaluating..
2020-02-03 11:20 Predicted for 1821 examples.
2020-02-03 11:20 Done predicting in 64.56026315689087 seconds.
2020-02-03 11:20   Evaluation Accuracy: 98.55 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 11:20 Iteration 00140100, loss   0.0087, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:21 Iteration 00140200, loss   0.0057, accuracy 99.75, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:21 Iteration 00140300, loss   0.0033, accuracy 99.95, exact match 99.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:21 Iteration 00140400, loss   0.0143, accuracy 99.43, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:21 Iteration 00140500, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:22 Iteration 00140600, loss   0.0090, accuracy 99.68, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:22 Iteration 00140700, loss   0.0141, accuracy 99.55, exact match 95.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:22 Iteration 00140800, loss   0.0073, accuracy 99.76, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:22 Iteration 00140900, loss   0.0029, accuracy 99.91, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:23 Iteration 00141000, loss   0.0158, accuracy 99.68, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:23 Evaluating..
2020-02-03 11:24 Predicted for 1821 examples.
2020-02-03 11:24 Done predicting in 64.50778675079346 seconds.
2020-02-03 11:24   Evaluation Accuracy: 98.56 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-03 11:24 Iteration 00141100, loss   0.0087, accuracy 99.66, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:24 Iteration 00141200, loss   0.0074, accuracy 99.67, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:25 Iteration 00141300, loss   0.0051, accuracy 99.85, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-03 11:25 Iteration 00141400, loss   0.0061, accuracy 99.71, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:25 Iteration 00141500, loss   0.0053, accuracy 99.90, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:25 Iteration 00141600, loss   0.0138, accuracy 99.47, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:26 Iteration 00141700, loss   0.0107, accuracy 99.50, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:26 Iteration 00141800, loss   0.0072, accuracy 99.67, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:26 Iteration 00141900, loss   0.0154, accuracy 99.66, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:27 Iteration 00142000, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:27 Evaluating..
2020-02-03 11:28 Predicted for 1821 examples.
2020-02-03 11:28 Done predicting in 64.63792371749878 seconds.
2020-02-03 11:28   Evaluation Accuracy: 98.43 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-03 11:28 Iteration 00142100, loss   0.0171, accuracy 99.44, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:28 Iteration 00142200, loss   0.0068, accuracy 99.73, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:28 Iteration 00142300, loss   0.0057, accuracy 99.72, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:29 Iteration 00142400, loss   0.0075, accuracy 99.72, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:29 Iteration 00142500, loss   0.0046, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:29 Iteration 00142600, loss   0.0107, accuracy 99.50, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:30 Iteration 00142700, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:30 Iteration 00142800, loss   0.0122, accuracy 99.72, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:30 Iteration 00142900, loss   0.0120, accuracy 99.70, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:30 Iteration 00143000, loss   0.0041, accuracy 99.91, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:30 Evaluating..
2020-02-03 11:31 Predicted for 1821 examples.
2020-02-03 11:31 Done predicting in 64.51573538780212 seconds.
2020-02-03 11:31   Evaluation Accuracy: 98.46 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-03 11:32 Iteration 00143100, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:32 Iteration 00143200, loss   0.0032, accuracy 99.90, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:32 Iteration 00143300, loss   0.0062, accuracy 99.82, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:33 Iteration 00143400, loss   0.0055, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:33 Iteration 00143500, loss   0.0063, accuracy 99.90, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:33 Iteration 00143600, loss   0.0122, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:33 Iteration 00143700, loss   0.0047, accuracy 99.76, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:34 Iteration 00143800, loss   0.0032, accuracy 99.95, exact match 99.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:34 Iteration 00143900, loss   0.0067, accuracy 99.85, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:34 Iteration 00144000, loss   0.0059, accuracy 99.76, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:34 Evaluating..
2020-02-03 11:35 Predicted for 1821 examples.
2020-02-03 11:35 Done predicting in 64.62879657745361 seconds.
2020-02-03 11:35   Evaluation Accuracy: 98.70 Exact Match: 95.33  Target Accuracy:  0.00
2020-02-03 11:35 Iteration 00144100, loss   0.0066, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:36 Iteration 00144200, loss   0.0066, accuracy 99.90, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:36 Iteration 00144300, loss   0.0135, accuracy 99.71, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:36 Iteration 00144400, loss   0.0061, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:37 Iteration 00144500, loss   0.0094, accuracy 99.57, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:37 Iteration 00144600, loss   0.0098, accuracy 99.66, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:37 Iteration 00144700, loss   0.0071, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:37 Iteration 00144800, loss   0.0054, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:38 Iteration 00144900, loss   0.0128, accuracy 99.43, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:38 Iteration 00145000, loss   0.0082, accuracy 99.67, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:38 Evaluating..
2020-02-03 11:39 Predicted for 1821 examples.
2020-02-03 11:39 Done predicting in 64.64070844650269 seconds.
2020-02-03 11:39   Evaluation Accuracy: 98.41 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-03 11:39 Iteration 00145100, loss   0.0069, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:40 Iteration 00145200, loss   0.0048, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:40 Iteration 00145300, loss   0.0101, accuracy 99.58, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-03 11:40 Iteration 00145400, loss   0.0066, accuracy 99.71, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:40 Iteration 00145500, loss   0.0016, accuracy 100.00, exact match 100.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:41 Iteration 00145600, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:41 Iteration 00145700, loss   0.0111, accuracy 99.67, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:41 Iteration 00145800, loss   0.0038, accuracy 99.91, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:41 Iteration 00145900, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:42 Iteration 00146000, loss   0.0123, accuracy 99.71, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:42 Evaluating..
2020-02-03 11:43 Predicted for 1821 examples.
2020-02-03 11:43 Done predicting in 64.69504284858704 seconds.
2020-02-03 11:43   Evaluation Accuracy: 98.45 Exact Match: 94.40  Target Accuracy:  0.00
2020-02-03 11:43 Iteration 00146100, loss   0.0068, accuracy 99.76, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:43 Iteration 00146200, loss   0.0060, accuracy 99.77, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:44 Iteration 00146300, loss   0.0020, accuracy 100.00, exact match 100.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:44 Iteration 00146400, loss   0.0053, accuracy 99.91, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:44 Iteration 00146500, loss   0.0096, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:44 Iteration 00146600, loss   0.0074, accuracy 99.86, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:45 Iteration 00146700, loss   0.0065, accuracy 99.90, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:45 Iteration 00146800, loss   0.0054, accuracy 99.85, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:45 Iteration 00146900, loss   0.0165, accuracy 99.62, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:46 Iteration 00147000, loss   0.0106, accuracy 99.67, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:46 Evaluating..
2020-02-03 11:47 Predicted for 1821 examples.
2020-02-03 11:47 Done predicting in 64.62297224998474 seconds.
2020-02-03 11:47   Evaluation Accuracy: 98.46 Exact Match: 95.22  Target Accuracy:  0.00
2020-02-03 11:47 Iteration 00147100, loss   0.0026, accuracy 99.95, exact match 99.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:47 Iteration 00147200, loss   0.0111, accuracy 99.59, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:47 Iteration 00147300, loss   0.0028, accuracy 99.91, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:48 Iteration 00147400, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:48 Iteration 00147500, loss   0.0049, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:48 Iteration 00147600, loss   0.0129, accuracy 99.61, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:49 Iteration 00147700, loss   0.0095, accuracy 99.57, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:49 Iteration 00147800, loss   0.0040, accuracy 99.90, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:49 Iteration 00147900, loss   0.0071, accuracy 99.70, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:49 Iteration 00148000, loss   0.0050, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:49 Evaluating..
2020-02-03 11:50 Predicted for 1821 examples.
2020-02-03 11:50 Done predicting in 64.63256072998047 seconds.
2020-02-03 11:50   Evaluation Accuracy: 98.59 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 11:51 Iteration 00148100, loss   0.0105, accuracy 99.67, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:51 Iteration 00148200, loss   0.0063, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:51 Iteration 00148300, loss   0.0089, accuracy 99.77, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:52 Iteration 00148400, loss   0.0066, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:52 Iteration 00148500, loss   0.0056, accuracy 99.86, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:52 Iteration 00148600, loss   0.0076, accuracy 99.71, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:52 Iteration 00148700, loss   0.0040, accuracy 99.85, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:53 Iteration 00148800, loss   0.0127, accuracy 99.62, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:53 Iteration 00148900, loss   0.0120, accuracy 99.72, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:53 Iteration 00149000, loss   0.0076, accuracy 99.71, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:53 Evaluating..
2020-02-03 11:54 Predicted for 1821 examples.
2020-02-03 11:54 Done predicting in 64.53859996795654 seconds.
2020-02-03 11:54   Evaluation Accuracy: 98.50 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-03 11:54 Iteration 00149100, loss   0.0043, accuracy 99.81, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:55 Iteration 00149200, loss   0.0104, accuracy 99.59, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:55 Iteration 00149300, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:55 Iteration 00149400, loss   0.0054, accuracy 99.86, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-03 11:56 Iteration 00149500, loss   0.0070, accuracy 99.67, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:56 Iteration 00149600, loss   0.0083, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:56 Iteration 00149700, loss   0.0068, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:56 Iteration 00149800, loss   0.0106, accuracy 99.55, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:57 Iteration 00149900, loss   0.0043, accuracy 99.91, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:57 Iteration 00150000, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:57 Evaluating..
2020-02-03 11:58 Predicted for 1821 examples.
2020-02-03 11:58 Done predicting in 64.55114793777466 seconds.
2020-02-03 11:58   Evaluation Accuracy: 98.40 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 11:58 Iteration 00150100, loss   0.0095, accuracy 99.76, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:59 Iteration 00150200, loss   0.0073, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:59 Iteration 00150300, loss   0.0099, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:59 Iteration 00150400, loss   0.0054, accuracy 99.85, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 11:59 Iteration 00150500, loss   0.0063, accuracy 99.90, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:00 Iteration 00150600, loss   0.0060, accuracy 99.68, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:00 Iteration 00150700, loss   0.0093, accuracy 99.77, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:00 Iteration 00150800, loss   0.0059, accuracy 99.71, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:00 Iteration 00150900, loss   0.0082, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:01 Iteration 00151000, loss   0.0120, accuracy 99.53, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:01 Evaluating..
2020-02-03 12:02 Predicted for 1821 examples.
2020-02-03 12:02 Done predicting in 64.49055767059326 seconds.
2020-02-03 12:02   Evaluation Accuracy: 98.66 Exact Match: 95.44  Target Accuracy:  0.00
2020-02-03 12:02 Iteration 00151100, loss   0.0026, accuracy 99.95, exact match 99.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:02 Iteration 00151200, loss   0.0090, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:03 Iteration 00151300, loss   0.0145, accuracy 99.80, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:03 Iteration 00151400, loss   0.0065, accuracy 99.66, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:03 Iteration 00151500, loss   0.0104, accuracy 99.67, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:03 Iteration 00151600, loss   0.0136, accuracy 99.58, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:04 Iteration 00151700, loss   0.0099, accuracy 99.76, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:04 Iteration 00151800, loss   0.0061, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:04 Iteration 00151900, loss   0.0032, accuracy 99.91, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:05 Iteration 00152000, loss   0.0053, accuracy 99.77, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:05 Evaluating..
2020-02-03 12:06 Predicted for 1821 examples.
2020-02-03 12:06 Done predicting in 64.64633989334106 seconds.
2020-02-03 12:06   Evaluation Accuracy: 98.49 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 12:06 Iteration 00152100, loss   0.0097, accuracy 99.76, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:06 Iteration 00152200, loss   0.0058, accuracy 99.82, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:06 Iteration 00152300, loss   0.0136, accuracy 99.62, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:07 Iteration 00152400, loss   0.0086, accuracy 99.71, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:07 Iteration 00152500, loss   0.0030, accuracy 99.95, exact match 99.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:07 Iteration 00152600, loss   0.0039, accuracy 99.90, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:08 Iteration 00152700, loss   0.0043, accuracy 99.80, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:08 Iteration 00152800, loss   0.0068, accuracy 99.77, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:08 Iteration 00152900, loss   0.0090, accuracy 99.76, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:08 Iteration 00153000, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:08 Evaluating..
2020-02-03 12:09 Predicted for 1821 examples.
2020-02-03 12:09 Done predicting in 64.66333985328674 seconds.
2020-02-03 12:09   Evaluation Accuracy: 98.58 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 12:10 Iteration 00153100, loss   0.0034, accuracy 99.90, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:10 Iteration 00153200, loss   0.0134, accuracy 99.67, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:10 Iteration 00153300, loss   0.0070, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:10 Iteration 00153400, loss   0.0037, accuracy 99.91, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:11 Iteration 00153500, loss   0.0070, accuracy 99.81, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:11 Iteration 00153600, loss   0.0065, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-03 12:11 Iteration 00153700, loss   0.0059, accuracy 99.77, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:12 Iteration 00153800, loss   0.0068, accuracy 99.77, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:12 Iteration 00153900, loss   0.0076, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:12 Iteration 00154000, loss   0.0125, accuracy 99.53, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:12 Evaluating..
2020-02-03 12:13 Predicted for 1821 examples.
2020-02-03 12:13 Done predicting in 64.55435705184937 seconds.
2020-02-03 12:13   Evaluation Accuracy: 98.63 Exact Match: 95.33  Target Accuracy:  0.00
2020-02-03 12:13 Iteration 00154100, loss   0.0122, accuracy 99.49, exact match 94.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:14 Iteration 00154200, loss   0.0094, accuracy 99.64, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:14 Iteration 00154300, loss   0.0055, accuracy 99.75, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:14 Iteration 00154400, loss   0.0046, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:15 Iteration 00154500, loss   0.0285, accuracy 99.23, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:15 Iteration 00154600, loss   0.0021, accuracy 100.00, exact match 100.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:15 Iteration 00154700, loss   0.0043, accuracy 99.81, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:15 Iteration 00154800, loss   0.0028, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:16 Iteration 00154900, loss   0.0060, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:16 Iteration 00155000, loss   0.0100, accuracy 99.67, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:16 Evaluating..
2020-02-03 12:17 Predicted for 1821 examples.
2020-02-03 12:17 Done predicting in 64.52631282806396 seconds.
2020-02-03 12:17   Evaluation Accuracy: 98.39 Exact Match: 94.89  Target Accuracy:  0.00
2020-02-03 12:17 Iteration 00155100, loss   0.0032, accuracy 99.91, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:18 Iteration 00155200, loss   0.0044, accuracy 99.90, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:18 Iteration 00155300, loss   0.0047, accuracy 99.85, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:18 Iteration 00155400, loss   0.0060, accuracy 99.80, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:18 Iteration 00155500, loss   0.0026, accuracy 99.95, exact match 99.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:19 Iteration 00155600, loss   0.0044, accuracy 99.80, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:19 Iteration 00155700, loss   0.0074, accuracy 99.67, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:19 Iteration 00155800, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:19 Iteration 00155900, loss   0.0064, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:20 Iteration 00156000, loss   0.0023, accuracy 100.00, exact match 100.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:20 Evaluating..
2020-02-03 12:21 Predicted for 1821 examples.
2020-02-03 12:21 Done predicting in 64.5745141506195 seconds.
2020-02-03 12:21   Evaluation Accuracy: 98.57 Exact Match: 95.22  Target Accuracy:  0.00
2020-02-03 12:21 Iteration 00156100, loss   0.0124, accuracy 99.67, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:21 Iteration 00156200, loss   0.0081, accuracy 99.62, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:22 Iteration 00156300, loss   0.0058, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:22 Iteration 00156400, loss   0.0072, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:22 Iteration 00156500, loss   0.0085, accuracy 99.67, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:22 Iteration 00156600, loss   0.0078, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:23 Iteration 00156700, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:23 Iteration 00156800, loss   0.0046, accuracy 99.76, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:23 Iteration 00156900, loss   0.0090, accuracy 99.71, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:24 Iteration 00157000, loss   0.0038, accuracy 99.86, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:24 Evaluating..
2020-02-03 12:25 Predicted for 1821 examples.
2020-02-03 12:25 Done predicting in 64.59729671478271 seconds.
2020-02-03 12:25   Evaluation Accuracy: 98.39 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 12:25 Iteration 00157100, loss   0.0105, accuracy 99.77, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:25 Iteration 00157200, loss   0.0065, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:25 Iteration 00157300, loss   0.0057, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:26 Iteration 00157400, loss   0.0112, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:26 Iteration 00157500, loss   0.0052, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:26 Iteration 00157600, loss   0.0095, accuracy 99.77, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:27 Iteration 00157700, loss   0.0087, accuracy 99.77, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:27 Iteration 00157800, loss   0.0076, accuracy 99.67, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:27 Iteration 00157900, loss   0.0050, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:27 Iteration 00158000, loss   0.0106, accuracy 99.71, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-03 12:27 Evaluating..
2020-02-03 12:28 Predicted for 1821 examples.
2020-02-03 12:28 Done predicting in 64.61935639381409 seconds.
2020-02-03 12:28   Evaluation Accuracy: 98.43 Exact Match: 94.29  Target Accuracy:  0.00
2020-02-03 12:29 Iteration 00158100, loss   0.0043, accuracy 99.91, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:29 Iteration 00158200, loss   0.0029, accuracy 99.90, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:29 Iteration 00158300, loss   0.0049, accuracy 99.95, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:29 Iteration 00158400, loss   0.0114, accuracy 99.64, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:30 Iteration 00158500, loss   0.0191, accuracy 99.51, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:30 Iteration 00158600, loss   0.0042, accuracy 99.91, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:30 Iteration 00158700, loss   0.0099, accuracy 99.58, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:31 Iteration 00158800, loss   0.0031, accuracy 99.85, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:31 Iteration 00158900, loss   0.0021, accuracy 99.91, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:31 Iteration 00159000, loss   0.0054, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:31 Evaluating..
2020-02-03 12:32 Predicted for 1821 examples.
2020-02-03 12:32 Done predicting in 64.5868604183197 seconds.
2020-02-03 12:32   Evaluation Accuracy: 98.69 Exact Match: 95.22  Target Accuracy:  0.00
2020-02-03 12:32 Iteration 00159100, loss   0.0046, accuracy 99.91, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:33 Iteration 00159200, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:33 Iteration 00159300, loss   0.0066, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:33 Iteration 00159400, loss   0.0056, accuracy 99.77, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:34 Iteration 00159500, loss   0.0071, accuracy 99.67, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:34 Iteration 00159600, loss   0.0091, accuracy 99.73, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:34 Iteration 00159700, loss   0.0052, accuracy 99.82, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:34 Iteration 00159800, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:35 Iteration 00159900, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:35 Iteration 00160000, loss   0.0048, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:35 Evaluating..
2020-02-03 12:36 Predicted for 1821 examples.
2020-02-03 12:36 Done predicting in 64.61910963058472 seconds.
2020-02-03 12:36   Evaluation Accuracy: 98.50 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-03 12:36 Iteration 00160100, loss   0.0051, accuracy 99.91, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:37 Iteration 00160200, loss   0.0061, accuracy 99.76, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:37 Iteration 00160300, loss   0.0081, accuracy 99.66, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:37 Iteration 00160400, loss   0.0069, accuracy 99.81, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:37 Iteration 00160500, loss   0.0034, accuracy 99.90, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:38 Iteration 00160600, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:38 Iteration 00160700, loss   0.0078, accuracy 99.72, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:38 Iteration 00160800, loss   0.0037, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:38 Iteration 00160900, loss   0.0041, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:39 Iteration 00161000, loss   0.0116, accuracy 99.50, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:39 Evaluating..
2020-02-03 12:40 Predicted for 1821 examples.
2020-02-03 12:40 Done predicting in 64.68041682243347 seconds.
2020-02-03 12:40   Evaluation Accuracy: 98.49 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-03 12:40 Iteration 00161100, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:40 Iteration 00161200, loss   0.0099, accuracy 99.59, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:41 Iteration 00161300, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:41 Iteration 00161400, loss   0.0073, accuracy 99.62, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:41 Iteration 00161500, loss   0.0069, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:41 Iteration 00161600, loss   0.0117, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:42 Iteration 00161700, loss   0.0118, accuracy 99.58, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:42 Iteration 00161800, loss   0.0054, accuracy 99.82, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:42 Iteration 00161900, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:43 Iteration 00162000, loss   0.0071, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:43 Evaluating..
2020-02-03 12:44 Predicted for 1821 examples.
2020-02-03 12:44 Done predicting in 64.63561582565308 seconds.
2020-02-03 12:44   Evaluation Accuracy: 98.49 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-03 12:44 Iteration 00162100, loss   0.0136, accuracy 99.58, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:44 Iteration 00162200, loss   0.0101, accuracy 99.66, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:44 Iteration 00162300, loss   0.0065, accuracy 99.67, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:45 Iteration 00162400, loss   0.0060, accuracy 99.77, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-03 12:45 Iteration 00162500, loss   0.0052, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:45 Iteration 00162600, loss   0.0075, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:46 Iteration 00162700, loss   0.0084, accuracy 99.58, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:46 Iteration 00162800, loss   0.0159, accuracy 99.49, exact match 94.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:46 Iteration 00162900, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:46 Iteration 00163000, loss   0.0145, accuracy 99.34, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:46 Evaluating..
2020-02-03 12:47 Predicted for 1821 examples.
2020-02-03 12:47 Done predicting in 64.66691064834595 seconds.
2020-02-03 12:47   Evaluation Accuracy: 98.32 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-03 12:48 Iteration 00163100, loss   0.0082, accuracy 99.62, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:48 Iteration 00163200, loss   0.0101, accuracy 99.59, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:48 Iteration 00163300, loss   0.0054, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:48 Iteration 00163400, loss   0.0033, accuracy 99.95, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:49 Iteration 00163500, loss   0.0031, accuracy 99.90, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:49 Iteration 00163600, loss   0.0039, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:49 Iteration 00163700, loss   0.0101, accuracy 99.71, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:50 Iteration 00163800, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:50 Iteration 00163900, loss   0.0089, accuracy 99.62, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:50 Iteration 00164000, loss   0.0170, accuracy 99.55, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:50 Evaluating..
2020-02-03 12:51 Predicted for 1821 examples.
2020-02-03 12:51 Done predicting in 64.6456892490387 seconds.
2020-02-03 12:51   Evaluation Accuracy: 98.51 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-03 12:51 Iteration 00164100, loss   0.0034, accuracy 99.95, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:52 Iteration 00164200, loss   0.0038, accuracy 99.95, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:52 Iteration 00164300, loss   0.0071, accuracy 99.62, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:52 Iteration 00164400, loss   0.0027, accuracy 99.95, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:53 Iteration 00164500, loss   0.0073, accuracy 99.68, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:53 Iteration 00164600, loss   0.0034, accuracy 99.90, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:53 Iteration 00164700, loss   0.0090, accuracy 99.55, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:53 Iteration 00164800, loss   0.0058, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:54 Iteration 00164900, loss   0.0081, accuracy 99.62, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:54 Iteration 00165000, loss   0.0085, accuracy 99.76, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:54 Evaluating..
2020-02-03 12:55 Predicted for 1821 examples.
2020-02-03 12:55 Done predicting in 64.70466184616089 seconds.
2020-02-03 12:55   Evaluation Accuracy: 98.53 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 12:55 Iteration 00165100, loss   0.0118, accuracy 99.61, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:56 Iteration 00165200, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:56 Iteration 00165300, loss   0.0083, accuracy 99.85, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:56 Iteration 00165400, loss   0.0034, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:56 Iteration 00165500, loss   0.0119, accuracy 99.67, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:57 Iteration 00165600, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:57 Iteration 00165700, loss   0.0104, accuracy 99.67, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:57 Iteration 00165800, loss   0.0082, accuracy 99.72, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:57 Iteration 00165900, loss   0.0057, accuracy 99.71, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:58 Iteration 00166000, loss   0.0042, accuracy 99.91, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:58 Evaluating..
2020-02-03 12:59 Predicted for 1821 examples.
2020-02-03 12:59 Done predicting in 64.6412923336029 seconds.
2020-02-03 12:59   Evaluation Accuracy: 98.53 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-03 12:59 Iteration 00166100, loss   0.0024, accuracy 99.91, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 12:59 Iteration 00166200, loss   0.0030, accuracy 99.95, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:00 Iteration 00166300, loss   0.0054, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:00 Iteration 00166400, loss   0.0061, accuracy 99.78, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:00 Iteration 00166500, loss   0.0025, accuracy 99.96, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:00 Iteration 00166600, loss   0.0079, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:01 Iteration 00166700, loss   0.0087, accuracy 99.72, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:01 Iteration 00166800, loss   0.0147, accuracy 99.63, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:01 Iteration 00166900, loss   0.0024, accuracy 99.91, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-03 13:02 Iteration 00167000, loss   0.0085, accuracy 99.67, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:02 Evaluating..
2020-02-03 13:03 Predicted for 1821 examples.
2020-02-03 13:03 Done predicting in 64.57411241531372 seconds.
2020-02-03 13:03   Evaluation Accuracy: 98.54 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 13:03 Iteration 00167100, loss   0.0054, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:03 Iteration 00167200, loss   0.0058, accuracy 99.63, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:03 Iteration 00167300, loss   0.0081, accuracy 99.68, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:04 Iteration 00167400, loss   0.0048, accuracy 99.82, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:04 Iteration 00167500, loss   0.0049, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:04 Iteration 00167600, loss   0.0058, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:05 Iteration 00167700, loss   0.0070, accuracy 99.91, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:05 Iteration 00167800, loss   0.0056, accuracy 99.72, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:05 Iteration 00167900, loss   0.0066, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:05 Iteration 00168000, loss   0.0063, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:05 Evaluating..
2020-02-03 13:06 Predicted for 1821 examples.
2020-02-03 13:06 Done predicting in 64.54360103607178 seconds.
2020-02-03 13:06   Evaluation Accuracy: 98.44 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-03 13:07 Iteration 00168100, loss   0.0016, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:07 Iteration 00168200, loss   0.0041, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:07 Iteration 00168300, loss   0.0037, accuracy 99.91, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:07 Iteration 00168400, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:08 Iteration 00168500, loss   0.0073, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:08 Iteration 00168600, loss   0.0066, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:08 Iteration 00168700, loss   0.0091, accuracy 99.67, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:09 Iteration 00168800, loss   0.0067, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:09 Iteration 00168900, loss   0.0040, accuracy 99.81, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:09 Iteration 00169000, loss   0.0033, accuracy 99.86, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:09 Evaluating..
2020-02-03 13:10 Predicted for 1821 examples.
2020-02-03 13:10 Done predicting in 64.67159485816956 seconds.
2020-02-03 13:10   Evaluation Accuracy: 98.45 Exact Match: 94.67  Target Accuracy:  0.00
2020-02-03 13:10 Iteration 00169100, loss   0.0100, accuracy 99.80, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:11 Iteration 00169200, loss   0.0050, accuracy 99.82, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:11 Iteration 00169300, loss   0.0099, accuracy 99.48, exact match 94.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:11 Iteration 00169400, loss   0.0073, accuracy 99.77, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:12 Iteration 00169500, loss   0.0044, accuracy 99.85, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:12 Iteration 00169600, loss   0.0033, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:12 Iteration 00169700, loss   0.0054, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:12 Iteration 00169800, loss   0.0040, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:13 Iteration 00169900, loss   0.0089, accuracy 99.62, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:13 Iteration 00170000, loss   0.0063, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:13 Evaluating..
2020-02-03 13:14 Predicted for 1821 examples.
2020-02-03 13:14 Done predicting in 64.7253201007843 seconds.
2020-02-03 13:14   Evaluation Accuracy: 98.47 Exact Match: 94.95  Target Accuracy:  0.00
2020-02-03 13:14 Iteration 00170100, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:15 Iteration 00170200, loss   0.0045, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:15 Iteration 00170300, loss   0.0055, accuracy 99.77, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:15 Iteration 00170400, loss   0.0082, accuracy 99.72, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:15 Iteration 00170500, loss   0.0127, accuracy 99.59, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:16 Iteration 00170600, loss   0.0046, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:16 Iteration 00170700, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:16 Iteration 00170800, loss   0.0049, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:16 Iteration 00170900, loss   0.0155, accuracy 99.57, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:17 Iteration 00171000, loss   0.0040, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:17 Evaluating..
2020-02-03 13:18 Predicted for 1821 examples.
2020-02-03 13:18 Done predicting in 64.74670457839966 seconds.
2020-02-03 13:18   Evaluation Accuracy: 98.67 Exact Match: 95.44  Target Accuracy:  0.00
2020-02-03 13:18 Iteration 00171100, loss   0.0067, accuracy 99.77, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:18 Iteration 00171200, loss   0.0074, accuracy 99.75, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:19 Iteration 00171300, loss   0.0065, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:19 Iteration 00171400, loss   0.0096, accuracy 99.68, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:19 Iteration 00171500, loss   0.0023, accuracy 99.91, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-03 13:19 Iteration 00171600, loss   0.0082, accuracy 99.67, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:20 Iteration 00171700, loss   0.0093, accuracy 99.80, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:20 Iteration 00171800, loss   0.0046, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:20 Iteration 00171900, loss   0.0044, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:21 Iteration 00172000, loss   0.0029, accuracy 99.85, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:21 Evaluating..
2020-02-03 13:22 Predicted for 1821 examples.
2020-02-03 13:22 Done predicting in 64.58026242256165 seconds.
2020-02-03 13:22   Evaluation Accuracy: 98.45 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-03 13:22 Iteration 00172100, loss   0.0034, accuracy 99.91, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:22 Iteration 00172200, loss   0.0033, accuracy 99.91, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:22 Iteration 00172300, loss   0.0057, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:23 Iteration 00172400, loss   0.0137, accuracy 99.62, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:23 Iteration 00172500, loss   0.0041, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:23 Iteration 00172600, loss   0.0081, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:24 Iteration 00172700, loss   0.0054, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:24 Iteration 00172800, loss   0.0081, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:24 Iteration 00172900, loss   0.0068, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:24 Iteration 00173000, loss   0.0103, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:24 Evaluating..
2020-02-03 13:25 Predicted for 1821 examples.
2020-02-03 13:25 Done predicting in 64.69162487983704 seconds.
2020-02-03 13:25   Evaluation Accuracy: 98.64 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-03 13:26 Iteration 00173100, loss   0.0071, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:26 Iteration 00173200, loss   0.0071, accuracy 99.68, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:26 Iteration 00173300, loss   0.0102, accuracy 99.63, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:26 Iteration 00173400, loss   0.0020, accuracy 99.90, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:27 Iteration 00173500, loss   0.0024, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:27 Iteration 00173600, loss   0.0076, accuracy 99.68, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:27 Iteration 00173700, loss   0.0028, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:28 Iteration 00173800, loss   0.0072, accuracy 99.72, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:28 Iteration 00173900, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:28 Iteration 00174000, loss   0.0062, accuracy 99.71, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:28 Evaluating..
2020-02-03 13:29 Predicted for 1821 examples.
2020-02-03 13:29 Done predicting in 64.63540697097778 seconds.
2020-02-03 13:29   Evaluation Accuracy: 98.79 Exact Match: 95.55  Target Accuracy:  0.00
2020-02-03 13:29 Iteration 00174100, loss   0.0139, accuracy 99.68, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:30 Iteration 00174200, loss   0.0053, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:30 Iteration 00174300, loss   0.0064, accuracy 99.85, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:30 Iteration 00174400, loss   0.0076, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:31 Iteration 00174500, loss   0.0076, accuracy 99.67, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:31 Iteration 00174600, loss   0.0044, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:31 Iteration 00174700, loss   0.0068, accuracy 99.71, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:31 Iteration 00174800, loss   0.0140, accuracy 99.42, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:32 Iteration 00174900, loss   0.0023, accuracy 99.95, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:32 Iteration 00175000, loss   0.0114, accuracy 99.65, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:32 Evaluating..
2020-02-03 13:33 Predicted for 1821 examples.
2020-02-03 13:33 Done predicting in 64.65658211708069 seconds.
2020-02-03 13:33   Evaluation Accuracy: 98.82 Exact Match: 95.61  Target Accuracy:  0.00
2020-02-03 13:33 Iteration 00175100, loss   0.0026, accuracy 99.85, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:34 Iteration 00175200, loss   0.0169, accuracy 99.58, exact match 96.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:34 Iteration 00175300, loss   0.0061, accuracy 99.78, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:34 Iteration 00175400, loss   0.0066, accuracy 99.73, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:34 Iteration 00175500, loss   0.0114, accuracy 99.66, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:35 Iteration 00175600, loss   0.0037, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:35 Iteration 00175700, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:35 Iteration 00175800, loss   0.0100, accuracy 99.53, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:35 Iteration 00175900, loss   0.0085, accuracy 99.72, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:36 Iteration 00176000, loss   0.0042, accuracy 99.80, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:36 Evaluating..
2020-02-03 13:37 Predicted for 1821 examples.
2020-02-03 13:37 Done predicting in 64.67069888114929 seconds.
2020-02-03 13:37   Evaluation Accuracy: 98.51 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-03 13:37 Iteration 00176100, loss   0.0042, accuracy 99.91, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:37 Iteration 00176200, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:38 Iteration 00176300, loss   0.0087, accuracy 99.66, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-03 13:38 Iteration 00176400, loss   0.0066, accuracy 99.77, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:38 Iteration 00176500, loss   0.0047, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:38 Iteration 00176600, loss   0.0059, accuracy 99.72, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:39 Iteration 00176700, loss   0.0055, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:39 Iteration 00176800, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:39 Iteration 00176900, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:40 Iteration 00177000, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:40 Evaluating..
2020-02-03 13:41 Predicted for 1821 examples.
2020-02-03 13:41 Done predicting in 64.58928894996643 seconds.
2020-02-03 13:41   Evaluation Accuracy: 98.85 Exact Match: 95.77  Target Accuracy:  0.00
2020-02-03 13:41 Iteration 00177100, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:41 Iteration 00177200, loss   0.0071, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:41 Iteration 00177300, loss   0.0040, accuracy 99.80, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:42 Iteration 00177400, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:42 Iteration 00177500, loss   0.0045, accuracy 99.90, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:42 Iteration 00177600, loss   0.0144, accuracy 99.67, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:43 Iteration 00177700, loss   0.0089, accuracy 99.77, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:43 Iteration 00177800, loss   0.0065, accuracy 99.68, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:43 Iteration 00177900, loss   0.0051, accuracy 99.91, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:43 Iteration 00178000, loss   0.0071, accuracy 99.72, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:43 Evaluating..
2020-02-03 13:44 Predicted for 1821 examples.
2020-02-03 13:44 Done predicting in 64.73240160942078 seconds.
2020-02-03 13:44   Evaluation Accuracy: 98.75 Exact Match: 95.66  Target Accuracy:  0.00
2020-02-03 13:45 Iteration 00178100, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:45 Iteration 00178200, loss   0.0039, accuracy 99.80, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:45 Iteration 00178300, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:45 Iteration 00178400, loss   0.0123, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:46 Iteration 00178500, loss   0.0040, accuracy 99.91, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:46 Iteration 00178600, loss   0.0034, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:46 Iteration 00178700, loss   0.0074, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:47 Iteration 00178800, loss   0.0021, accuracy 99.95, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:47 Iteration 00178900, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:47 Iteration 00179000, loss   0.0041, accuracy 99.91, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:47 Evaluating..
2020-02-03 13:48 Predicted for 1821 examples.
2020-02-03 13:48 Done predicting in 64.74170112609863 seconds.
2020-02-03 13:48   Evaluation Accuracy: 98.76 Exact Match: 95.28  Target Accuracy:  0.00
2020-02-03 13:48 Iteration 00179100, loss   0.0192, accuracy 99.67, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:49 Iteration 00179200, loss   0.0069, accuracy 99.81, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:49 Iteration 00179300, loss   0.0083, accuracy 99.72, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:49 Iteration 00179400, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:50 Iteration 00179500, loss   0.0050, accuracy 99.91, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:50 Iteration 00179600, loss   0.0065, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:50 Iteration 00179700, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:50 Iteration 00179800, loss   0.0063, accuracy 99.77, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:51 Iteration 00179900, loss   0.0075, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:51 Iteration 00180000, loss   0.0076, accuracy 99.80, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:51 Evaluating..
2020-02-03 13:52 Predicted for 1821 examples.
2020-02-03 13:52 Done predicting in 64.7175645828247 seconds.
2020-02-03 13:52   Evaluation Accuracy: 98.64 Exact Match: 95.17  Target Accuracy:  0.00
2020-02-03 13:52 Iteration 00180100, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:53 Iteration 00180200, loss   0.0086, accuracy 99.68, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:53 Iteration 00180300, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:53 Iteration 00180400, loss   0.0217, accuracy 99.32, exact match 95.05, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:53 Iteration 00180500, loss   0.0044, accuracy 99.86, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:54 Iteration 00180600, loss   0.0086, accuracy 99.78, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:54 Iteration 00180700, loss   0.0070, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:54 Iteration 00180800, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:54 Iteration 00180900, loss   0.0020, accuracy 99.95, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:55 Iteration 00181000, loss   0.0030, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:55 Evaluating..
2020-02-03 13:56 Predicted for 1821 examples.
2020-02-03 13:56 Done predicting in 64.66997838020325 seconds.
2020-02-03 13:56   Evaluation Accuracy: 98.57 Exact Match: 94.95  Target Accuracy:  0.00
2020-02-03 13:56 Iteration 00181100, loss   0.0084, accuracy 99.72, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-03 13:56 Iteration 00181200, loss   0.0091, accuracy 99.76, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:57 Iteration 00181300, loss   0.0089, accuracy 99.66, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:57 Iteration 00181400, loss   0.0076, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:57 Iteration 00181500, loss   0.0061, accuracy 99.67, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:57 Iteration 00181600, loss   0.0074, accuracy 99.76, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:58 Iteration 00181700, loss   0.0032, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:58 Iteration 00181800, loss   0.0024, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:58 Iteration 00181900, loss   0.0051, accuracy 99.82, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:59 Iteration 00182000, loss   0.0056, accuracy 99.76, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 13:59 Evaluating..
2020-02-03 14:00 Predicted for 1821 examples.
2020-02-03 14:00 Done predicting in 64.66815447807312 seconds.
2020-02-03 14:00   Evaluation Accuracy: 98.58 Exact Match: 95.33  Target Accuracy:  0.00
2020-02-03 14:00 Iteration 00182100, loss   0.0019, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:00 Iteration 00182200, loss   0.0031, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:00 Iteration 00182300, loss   0.0129, accuracy 99.56, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:01 Iteration 00182400, loss   0.0074, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:01 Iteration 00182500, loss   0.0023, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:01 Iteration 00182600, loss   0.0015, accuracy 100.00, exact match 100.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:02 Iteration 00182700, loss   0.0053, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:02 Iteration 00182800, loss   0.0070, accuracy 99.77, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:02 Iteration 00182900, loss   0.0059, accuracy 99.72, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:02 Iteration 00183000, loss   0.0135, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:02 Evaluating..
2020-02-03 14:03 Predicted for 1821 examples.
2020-02-03 14:03 Done predicting in 64.68654727935791 seconds.
2020-02-03 14:03   Evaluation Accuracy: 98.74 Exact Match: 95.61  Target Accuracy:  0.00
2020-02-03 14:04 Iteration 00183100, loss   0.0038, accuracy 99.91, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:04 Iteration 00183200, loss   0.0056, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:04 Iteration 00183300, loss   0.0031, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:04 Iteration 00183400, loss   0.0109, accuracy 99.72, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:05 Iteration 00183500, loss   0.0065, accuracy 99.77, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:05 Iteration 00183600, loss   0.0055, accuracy 99.91, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:05 Iteration 00183700, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:06 Iteration 00183800, loss   0.0038, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:06 Iteration 00183900, loss   0.0084, accuracy 99.72, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:06 Iteration 00184000, loss   0.0050, accuracy 99.82, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:06 Evaluating..
2020-02-03 14:07 Predicted for 1821 examples.
2020-02-03 14:07 Done predicting in 64.6944477558136 seconds.
2020-02-03 14:07   Evaluation Accuracy: 98.77 Exact Match: 95.99  Target Accuracy:  0.00
2020-02-03 14:07 Iteration 00184100, loss   0.0048, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:08 Iteration 00184200, loss   0.0213, accuracy 99.58, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:08 Iteration 00184300, loss   0.0052, accuracy 99.85, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:08 Iteration 00184400, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:09 Iteration 00184500, loss   0.0046, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:09 Iteration 00184600, loss   0.0033, accuracy 99.91, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:09 Iteration 00184700, loss   0.0069, accuracy 99.71, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:09 Iteration 00184800, loss   0.0042, accuracy 99.91, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:10 Iteration 00184900, loss   0.0060, accuracy 99.82, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:10 Iteration 00185000, loss   0.0029, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:10 Evaluating..
2020-02-03 14:11 Predicted for 1821 examples.
2020-02-03 14:11 Done predicting in 64.73756170272827 seconds.
2020-02-03 14:11   Evaluation Accuracy: 98.80 Exact Match: 95.88  Target Accuracy:  0.00
2020-02-03 14:11 Iteration 00185100, loss   0.0026, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:12 Iteration 00185200, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:12 Iteration 00185300, loss   0.0072, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:12 Iteration 00185400, loss   0.0059, accuracy 99.85, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:12 Iteration 00185500, loss   0.0027, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:13 Iteration 00185600, loss   0.0039, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:13 Iteration 00185700, loss   0.0050, accuracy 99.81, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:13 Iteration 00185800, loss   0.0079, accuracy 99.66, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:13 Iteration 00185900, loss   0.0070, accuracy 99.82, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:14 Iteration 00186000, loss   0.0032, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:14 Evaluating..
2020-02-03 14:15 Predicted for 1821 examples.
2020-02-03 14:15 Done predicting in 64.6624743938446 seconds.
2020-02-03 14:15   Evaluation Accuracy: 98.81 Exact Match: 95.61  Target Accuracy:  0.00
2020-02-03 14:15 Iteration 00186100, loss   0.0089, accuracy 99.72, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-03 14:15 Iteration 00186200, loss   0.0034, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:16 Iteration 00186300, loss   0.0051, accuracy 99.80, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:16 Iteration 00186400, loss   0.0008, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:16 Iteration 00186500, loss   0.0029, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:16 Iteration 00186600, loss   0.0027, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:17 Iteration 00186700, loss   0.0079, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:17 Iteration 00186800, loss   0.0067, accuracy 99.69, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:17 Iteration 00186900, loss   0.0064, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:18 Iteration 00187000, loss   0.0048, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:18 Evaluating..
2020-02-03 14:19 Predicted for 1821 examples.
2020-02-03 14:19 Done predicting in 64.66471409797668 seconds.
2020-02-03 14:19   Evaluation Accuracy: 98.80 Exact Match: 95.72  Target Accuracy:  0.00
2020-02-03 14:19 Iteration 00187100, loss   0.0166, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:19 Iteration 00187200, loss   0.0079, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:19 Iteration 00187300, loss   0.0032, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:20 Iteration 00187400, loss   0.0132, accuracy 99.61, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:20 Iteration 00187500, loss   0.0068, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:20 Iteration 00187600, loss   0.0038, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:21 Iteration 00187700, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:21 Iteration 00187800, loss   0.0035, accuracy 99.85, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:21 Iteration 00187900, loss   0.0102, accuracy 99.71, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:21 Iteration 00188000, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:21 Evaluating..
2020-02-03 14:22 Predicted for 1821 examples.
2020-02-03 14:22 Done predicting in 64.60765600204468 seconds.
2020-02-03 14:22   Evaluation Accuracy: 98.85 Exact Match: 95.72  Target Accuracy:  0.00
2020-02-03 14:23 Iteration 00188100, loss   0.0064, accuracy 99.76, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:23 Iteration 00188200, loss   0.0054, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:23 Iteration 00188300, loss   0.0046, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:23 Iteration 00188400, loss   0.0070, accuracy 99.85, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:24 Iteration 00188500, loss   0.0056, accuracy 99.80, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:24 Iteration 00188600, loss   0.0021, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:24 Iteration 00188700, loss   0.0112, accuracy 99.62, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:25 Iteration 00188800, loss   0.0033, accuracy 99.95, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:25 Iteration 00188900, loss   0.0027, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:25 Iteration 00189000, loss   0.0056, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:25 Evaluating..
2020-02-03 14:26 Predicted for 1821 examples.
2020-02-03 14:26 Done predicting in 64.55345153808594 seconds.
2020-02-03 14:26   Evaluation Accuracy: 98.87 Exact Match: 95.77  Target Accuracy:  0.00
2020-02-03 14:26 Iteration 00189100, loss   0.0031, accuracy 99.95, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:27 Iteration 00189200, loss   0.0062, accuracy 99.81, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:27 Iteration 00189300, loss   0.0056, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:27 Iteration 00189400, loss   0.0072, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:28 Iteration 00189500, loss   0.0074, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:28 Iteration 00189600, loss   0.0049, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:28 Iteration 00189700, loss   0.0054, accuracy 99.80, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:28 Iteration 00189800, loss   0.0055, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:29 Iteration 00189900, loss   0.0014, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:29 Iteration 00190000, loss   0.0039, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:29 Evaluating..
2020-02-03 14:30 Predicted for 1821 examples.
2020-02-03 14:30 Done predicting in 64.59922337532043 seconds.
2020-02-03 14:30   Evaluation Accuracy: 98.62 Exact Match: 95.17  Target Accuracy:  0.00
2020-02-03 14:30 Iteration 00190100, loss   0.0070, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:31 Iteration 00190200, loss   0.0126, accuracy 99.76, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:31 Iteration 00190300, loss   0.0043, accuracy 99.76, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:31 Iteration 00190400, loss   0.0046, accuracy 99.77, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:31 Iteration 00190500, loss   0.0023, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:32 Iteration 00190600, loss   0.0010, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:32 Iteration 00190700, loss   0.0064, accuracy 99.72, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:32 Iteration 00190800, loss   0.0026, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:32 Iteration 00190900, loss   0.0022, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:33 Iteration 00191000, loss   0.0022, accuracy 99.95, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:33 Evaluating..
2020-02-03 14:34 Predicted for 1821 examples.
2020-02-03 14:34 Done predicting in 64.6488242149353 seconds.
2020-02-03 14:34   Evaluation Accuracy: 98.78 Exact Match: 95.44  Target Accuracy:  0.00
2020-02-03 14:34 Iteration 00191100, loss   0.0017, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:34 Iteration 00191200, loss   0.0075, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:35 Iteration 00191300, loss   0.0048, accuracy 99.86, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-03 14:35 Iteration 00191400, loss   0.0049, accuracy 99.77, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:35 Iteration 00191500, loss   0.0026, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:35 Iteration 00191600, loss   0.0025, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:36 Iteration 00191700, loss   0.0032, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:36 Iteration 00191800, loss   0.0034, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:36 Iteration 00191900, loss   0.0023, accuracy 99.90, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:37 Iteration 00192000, loss   0.0063, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:37 Evaluating..
2020-02-03 14:38 Predicted for 1821 examples.
2020-02-03 14:38 Done predicting in 64.62988543510437 seconds.
2020-02-03 14:38   Evaluation Accuracy: 98.69 Exact Match: 95.50  Target Accuracy:  0.00
2020-02-03 14:38 Iteration 00192100, loss   0.0086, accuracy 99.72, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:38 Iteration 00192200, loss   0.0095, accuracy 99.82, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:38 Iteration 00192300, loss   0.0031, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:39 Iteration 00192400, loss   0.0063, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:39 Iteration 00192500, loss   0.0047, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:39 Iteration 00192600, loss   0.0149, accuracy 99.53, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:40 Iteration 00192700, loss   0.0045, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:40 Iteration 00192800, loss   0.0038, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:40 Iteration 00192900, loss   0.0146, accuracy 99.75, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:40 Iteration 00193000, loss   0.0091, accuracy 99.63, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:40 Evaluating..
2020-02-03 14:41 Predicted for 1821 examples.
2020-02-03 14:41 Done predicting in 64.6417646408081 seconds.
2020-02-03 14:41   Evaluation Accuracy: 98.94 Exact Match: 96.27  Target Accuracy:  0.00
2020-02-03 14:42 Iteration 00193100, loss   0.0056, accuracy 99.66, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:42 Iteration 00193200, loss   0.0040, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:42 Iteration 00193300, loss   0.0057, accuracy 99.81, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:42 Iteration 00193400, loss   0.0037, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:43 Iteration 00193500, loss   0.0091, accuracy 99.66, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:43 Iteration 00193600, loss   0.0087, accuracy 99.67, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:43 Iteration 00193700, loss   0.0043, accuracy 99.85, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:44 Iteration 00193800, loss   0.0034, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:44 Iteration 00193900, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:44 Iteration 00194000, loss   0.0074, accuracy 99.81, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:44 Evaluating..
2020-02-03 14:45 Predicted for 1821 examples.
2020-02-03 14:45 Done predicting in 64.48766136169434 seconds.
2020-02-03 14:45   Evaluation Accuracy: 98.76 Exact Match: 95.88  Target Accuracy:  0.00
2020-02-03 14:45 Iteration 00194100, loss   0.0031, accuracy 99.90, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:46 Iteration 00194200, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:46 Iteration 00194300, loss   0.0040, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:46 Iteration 00194400, loss   0.0011, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:47 Iteration 00194500, loss   0.0074, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:47 Iteration 00194600, loss   0.0029, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:47 Iteration 00194700, loss   0.0026, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:47 Iteration 00194800, loss   0.0032, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:48 Iteration 00194900, loss   0.0070, accuracy 99.80, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:48 Iteration 00195000, loss   0.0022, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:48 Evaluating..
2020-02-03 14:49 Predicted for 1821 examples.
2020-02-03 14:49 Done predicting in 64.51605486869812 seconds.
2020-02-03 14:49   Evaluation Accuracy: 98.81 Exact Match: 95.83  Target Accuracy:  0.00
2020-02-03 14:49 Iteration 00195100, loss   0.0112, accuracy 99.62, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:50 Iteration 00195200, loss   0.0026, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:50 Iteration 00195300, loss   0.0063, accuracy 99.82, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:50 Iteration 00195400, loss   0.0065, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:50 Iteration 00195500, loss   0.0006, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:51 Iteration 00195600, loss   0.0020, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:51 Iteration 00195700, loss   0.0058, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:51 Iteration 00195800, loss   0.0046, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:51 Iteration 00195900, loss   0.0049, accuracy 99.77, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:52 Iteration 00196000, loss   0.0091, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:52 Evaluating..
2020-02-03 14:53 Predicted for 1821 examples.
2020-02-03 14:53 Done predicting in 64.58813190460205 seconds.
2020-02-03 14:53   Evaluation Accuracy: 98.93 Exact Match: 96.32  Target Accuracy:  0.00
2020-02-03 14:53 Iteration 00196100, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:53 Iteration 00196200, loss   0.0055, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:54 Iteration 00196300, loss   0.0018, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:54 Iteration 00196400, loss   0.0087, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:54 Iteration 00196500, loss   0.0088, accuracy 99.70, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-03 14:54 Iteration 00196600, loss   0.0011, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:55 Iteration 00196700, loss   0.0019, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:55 Iteration 00196800, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:55 Iteration 00196900, loss   0.0125, accuracy 99.77, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:56 Iteration 00197000, loss   0.0085, accuracy 99.66, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:56 Evaluating..
2020-02-03 14:57 Predicted for 1821 examples.
2020-02-03 14:57 Done predicting in 64.59987092018127 seconds.
2020-02-03 14:57   Evaluation Accuracy: 98.75 Exact Match: 95.66  Target Accuracy:  0.00
2020-02-03 14:57 Iteration 00197100, loss   0.0074, accuracy 99.81, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:57 Iteration 00197200, loss   0.0092, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:57 Iteration 00197300, loss   0.0033, accuracy 99.81, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:58 Iteration 00197400, loss   0.0062, accuracy 99.72, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:58 Iteration 00197500, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:58 Iteration 00197600, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:59 Iteration 00197700, loss   0.0030, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:59 Iteration 00197800, loss   0.0027, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:59 Iteration 00197900, loss   0.0137, accuracy 99.72, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:59 Iteration 00198000, loss   0.0012, accuracy 99.95, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 14:59 Evaluating..
2020-02-03 15:00 Predicted for 1821 examples.
2020-02-03 15:00 Done predicting in 64.68583536148071 seconds.
2020-02-03 15:00   Evaluation Accuracy: 98.85 Exact Match: 95.83  Target Accuracy:  0.00
2020-02-03 15:01 Iteration 00198100, loss   0.0033, accuracy 99.85, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:01 Iteration 00198200, loss   0.0136, accuracy 99.67, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:01 Iteration 00198300, loss   0.0029, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:01 Iteration 00198400, loss   0.0115, accuracy 99.71, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:02 Iteration 00198500, loss   0.0050, accuracy 99.81, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:02 Iteration 00198600, loss   0.0010, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:02 Iteration 00198700, loss   0.0032, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:03 Iteration 00198800, loss   0.0072, accuracy 99.77, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:03 Iteration 00198900, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:03 Iteration 00199000, loss   0.0046, accuracy 99.76, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:03 Evaluating..
2020-02-03 15:04 Predicted for 1821 examples.
2020-02-03 15:04 Done predicting in 64.68978309631348 seconds.
2020-02-03 15:04   Evaluation Accuracy: 98.84 Exact Match: 95.99  Target Accuracy:  0.00
2020-02-03 15:04 Iteration 00199100, loss   0.0046, accuracy 99.82, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:05 Iteration 00199200, loss   0.0043, accuracy 99.81, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:05 Iteration 00199300, loss   0.0046, accuracy 99.86, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:05 Iteration 00199400, loss   0.0065, accuracy 99.72, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:06 Iteration 00199500, loss   0.0071, accuracy 99.67, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:06 Iteration 00199600, loss   0.0031, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:06 Iteration 00199700, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:06 Iteration 00199800, loss   0.0037, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:07 Iteration 00199900, loss   0.0014, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:07 Iteration 00200000, loss   0.0021, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-03 15:07 Evaluating..
2020-02-03 15:08 Predicted for 1821 examples.
2020-02-03 15:08 Done predicting in 64.63283586502075 seconds.
2020-02-03 15:08   Evaluation Accuracy: 98.76 Exact Match: 95.72  Target Accuracy:  0.00
2020-02-03 15:08 Finished training.
