2020-01-29 03:45 Using CUDA.
2020-01-29 03:45 Cuda version: 10.1.243
2020-01-29 03:45 mode: train
2020-01-29 03:45 output_directory: adverb_k_10_run_1
2020-01-29 03:45 resume_from_file: 
2020-01-29 03:45 split: test
2020-01-29 03:45 data_directory: data/compositional_splits
2020-01-29 03:45 input_vocab_path: training_input_vocab.txt
2020-01-29 03:45 target_vocab_path: training_target_vocab.txt
2020-01-29 03:45 generate_vocabularies: False
2020-01-29 03:45 training_batch_size: 200
2020-01-29 03:45 k: 10
2020-01-29 03:45 test_batch_size: 1
2020-01-29 03:45 max_training_examples: None
2020-01-29 03:45 learning_rate: 0.001
2020-01-29 03:45 lr_decay: 0.9
2020-01-29 03:45 lr_decay_steps: 20000
2020-01-29 03:45 adam_beta_1: 0.9
2020-01-29 03:45 adam_beta_2: 0.999
2020-01-29 03:45 print_every: 100
2020-01-29 03:45 evaluate_every: 1000
2020-01-29 03:45 max_training_iterations: 200000
2020-01-29 03:45 weight_target_loss: 0.3
2020-01-29 03:45 max_testing_examples: 2000
2020-01-29 03:45 splits: test
2020-01-29 03:45 max_decoding_steps: 120
2020-01-29 03:45 output_file_name: predict.json
2020-01-29 03:45 simple_situation_representation: True
2020-01-29 03:45 cnn_hidden_num_channels: 50
2020-01-29 03:45 cnn_kernel_size: 1
2020-01-29 03:45 cnn_dropout_p: 0.1
2020-01-29 03:45 auxiliary_task: False
2020-01-29 03:45 embedding_dimension: 25
2020-01-29 03:45 num_encoder_layers: 1
2020-01-29 03:45 encoder_hidden_size: 100
2020-01-29 03:45 encoder_dropout_p: 0.3
2020-01-29 03:45 encoder_bidirectional: True
2020-01-29 03:45 num_decoder_layers: 1
2020-01-29 03:45 attention_type: bahdanau
2020-01-29 03:45 decoder_dropout_p: 0.3
2020-01-29 03:45 decoder_hidden_size: 100
2020-01-29 03:45 conditional_attention: True
2020-01-29 03:45 seed: 84
2020-01-29 03:45 Loading Training set...
2020-01-29 03:47 Verb-adverb combinations in training set: 
2020-01-29 03:47 Verbs for adverb: hesitantly
2020-01-29 03:47    walk: 34337 occurrences.
2020-01-29 03:47    push: 31925 occurrences.
2020-01-29 03:47    pull: 34386 occurrences.
2020-01-29 03:47 Verbs for adverb: while spinning
2020-01-29 03:47    walk: 34446 occurrences.
2020-01-29 03:47    push: 31783 occurrences.
2020-01-29 03:47 Verbs for adverb: while zigzagging
2020-01-29 03:47    walk: 34359 occurrences.
2020-01-29 03:47    push: 31877 occurrences.
2020-01-29 03:47    pull: 34314 occurrences.
2020-01-29 03:47 Verbs for adverb: 
2020-01-29 03:47    walk: 34343 occurrences.
2020-01-29 03:47    push: 31746 occurrences.
2020-01-29 03:47    pull: 34416 occurrences.
2020-01-29 03:47 Verbs for adverb: cautiously
2020-01-29 03:47    push: 3 occurrences.
2020-01-29 03:47    walk: 5 occurrences.
2020-01-29 03:47    pull: 3 occurrences.
2020-01-29 03:47 Verb-adverb combinations in dev set: 
2020-01-29 03:47 Verbs for adverb: cautiously
2020-01-29 03:47    push: 3 occurrences.
2020-01-29 03:47    walk: 5 occurrences.
2020-01-29 03:47    pull: 3 occurrences.
2020-01-29 03:47 Verbs for adverb: 
2020-01-29 03:47    walk: 357 occurrences.
2020-01-29 03:47    push: 358 occurrences.
2020-01-29 03:47    pull: 339 occurrences.
2020-01-29 03:47 Verbs for adverb: while zigzagging
2020-01-29 03:47    walk: 327 occurrences.
2020-01-29 03:47    pull: 351 occurrences.
2020-01-29 03:47    push: 292 occurrences.
2020-01-29 03:47 Verbs for adverb: hesitantly
2020-01-29 03:47    push: 332 occurrences.
2020-01-29 03:47    walk: 351 occurrences.
2020-01-29 03:47    pull: 336 occurrences.
2020-01-29 03:47 Verbs for adverb: while spinning
2020-01-29 03:47    push: 324 occurrences.
2020-01-29 03:47    walk: 349 occurrences.
2020-01-29 03:47 Loading vocabularies...
2020-01-29 03:47 Done loading vocabularies.
2020-01-29 03:47 Converting dataset to tensors...
2020-01-29 04:43 Done Loading Training set.
2020-01-29 04:43   Loaded 367943 training examples.
2020-01-29 04:43   Input vocabulary size training set: 21
2020-01-29 04:43   Most common input words: [('a', 367937), ('cylinder', 149788), ('walk', 137487), ('to', 137487), ('circle', 134815)]
2020-01-29 04:43   Output vocabulary size training set: 9
2020-01-29 04:43   Most common target words: [('turn left', 1801048), ('walk', 1722375), ('stay', 624267), ('pull', 362529), ('turn right', 272665)]
2020-01-29 04:43 Loading Test set...
2020-01-29 04:45 Verb-adverb combinations in training set: 
2020-01-29 04:45 Verbs for adverb: hesitantly
2020-01-29 04:45    walk: 34337 occurrences.
2020-01-29 04:45    push: 31925 occurrences.
2020-01-29 04:45    pull: 34386 occurrences.
2020-01-29 04:45 Verbs for adverb: while spinning
2020-01-29 04:45    walk: 34446 occurrences.
2020-01-29 04:45    push: 31783 occurrences.
2020-01-29 04:45 Verbs for adverb: while zigzagging
2020-01-29 04:45    walk: 34359 occurrences.
2020-01-29 04:45    push: 31877 occurrences.
2020-01-29 04:45    pull: 34314 occurrences.
2020-01-29 04:45 Verbs for adverb: 
2020-01-29 04:45    walk: 34343 occurrences.
2020-01-29 04:45    push: 31746 occurrences.
2020-01-29 04:45    pull: 34416 occurrences.
2020-01-29 04:45 Verbs for adverb: cautiously
2020-01-29 04:45    push: 1 occurrences.
2020-01-29 04:45 Verb-adverb combinations in dev set: 
2020-01-29 04:45 Verbs for adverb: cautiously
2020-01-29 04:45    push: 1 occurrences.
2020-01-29 04:45 Verbs for adverb: 
2020-01-29 04:45    walk: 357 occurrences.
2020-01-29 04:45    push: 358 occurrences.
2020-01-29 04:45    pull: 339 occurrences.
2020-01-29 04:45 Verbs for adverb: while zigzagging
2020-01-29 04:45    walk: 327 occurrences.
2020-01-29 04:45    pull: 351 occurrences.
2020-01-29 04:45    push: 292 occurrences.
2020-01-29 04:45 Verbs for adverb: hesitantly
2020-01-29 04:45    push: 332 occurrences.
2020-01-29 04:45    walk: 351 occurrences.
2020-01-29 04:45    pull: 336 occurrences.
2020-01-29 04:45 Verbs for adverb: while spinning
2020-01-29 04:45    push: 324 occurrences.
2020-01-29 04:45    walk: 349 occurrences.
2020-01-29 04:45 Loading vocabularies...
2020-01-29 04:45 Done loading vocabularies.
2020-01-29 04:45 Converting dataset to tensors...
2020-01-29 04:45 Done Loading Test set.
2020-01-29 04:45 Total parameters: 440275
2020-01-29 04:45 situation_encoder.conv_1.weight : [50, 16, 1, 1]
2020-01-29 04:45 situation_encoder.conv_1.bias : [50]
2020-01-29 04:45 situation_encoder.conv_2.weight : [50, 16, 5, 5]
2020-01-29 04:45 situation_encoder.conv_2.bias : [50]
2020-01-29 04:45 situation_encoder.conv_3.weight : [50, 16, 7, 7]
2020-01-29 04:45 situation_encoder.conv_3.bias : [50]
2020-01-29 04:45 visual_attention.key_layer.weight : [100, 150]
2020-01-29 04:45 visual_attention.query_layer.weight : [100, 100]
2020-01-29 04:45 visual_attention.energy_layer.weight : [1, 100]
2020-01-29 04:45 encoder.embedding.weight : [21, 25]
2020-01-29 04:45 encoder.lstm.weight_ih_l0 : [400, 25]
2020-01-29 04:45 encoder.lstm.weight_hh_l0 : [400, 100]
2020-01-29 04:45 encoder.lstm.bias_ih_l0 : [400]
2020-01-29 04:45 encoder.lstm.bias_hh_l0 : [400]
2020-01-29 04:45 encoder.lstm.weight_ih_l0_reverse : [400, 25]
2020-01-29 04:45 encoder.lstm.weight_hh_l0_reverse : [400, 100]
2020-01-29 04:45 encoder.lstm.bias_ih_l0_reverse : [400]
2020-01-29 04:45 encoder.lstm.bias_hh_l0_reverse : [400]
2020-01-29 04:45 enc_hidden_to_dec_hidden.weight : [100, 100]
2020-01-29 04:45 enc_hidden_to_dec_hidden.bias : [100]
2020-01-29 04:45 textual_attention.key_layer.weight : [100, 100]
2020-01-29 04:45 textual_attention.query_layer.weight : [100, 100]
2020-01-29 04:45 textual_attention.energy_layer.weight : [1, 100]
2020-01-29 04:45 attention_decoder.queries_to_keys.weight : [100, 200]
2020-01-29 04:45 attention_decoder.queries_to_keys.bias : [100]
2020-01-29 04:45 attention_decoder.embedding.weight : [9, 100]
2020-01-29 04:45 attention_decoder.lstm.weight_ih_l0 : [400, 300]
2020-01-29 04:45 attention_decoder.lstm.weight_hh_l0 : [400, 100]
2020-01-29 04:45 attention_decoder.lstm.bias_ih_l0 : [400]
2020-01-29 04:45 attention_decoder.lstm.bias_hh_l0 : [400]
2020-01-29 04:45 attention_decoder.output_to_hidden.weight : [100, 400]
2020-01-29 04:45 attention_decoder.hidden_to_output.weight : [9, 100]
2020-01-29 04:45 Training starts..
2020-01-29 04:46 Iteration 00000100, loss   0.5254, accuracy 80.06, exact match  1.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:47 Iteration 00000200, loss   0.3803, accuracy 85.14, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:47 Iteration 00000300, loss   0.3661, accuracy 84.56, exact match  1.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:48 Iteration 00000400, loss   0.3545, accuracy 84.88, exact match  2.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:49 Iteration 00000500, loss   0.3275, accuracy 86.16, exact match  3.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:49 Iteration 00000600, loss   0.3403, accuracy 85.75, exact match  3.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:50 Iteration 00000700, loss   0.3280, accuracy 86.57, exact match  4.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:51 Iteration 00000800, loss   0.2912, accuracy 87.83, exact match  5.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:51 Iteration 00000900, loss   0.3122, accuracy 87.54, exact match  8.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-01-29 04:52 Iteration 00001000, loss   0.3290, accuracy 86.44, exact match  4.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:52 Evaluating..
2020-01-29 04:54 Predicted for 2001 examples.
2020-01-29 04:54 Done predicting in 139.7717683315277 seconds.
2020-01-29 04:54   Evaluation Accuracy: 48.71 Exact Match:  7.35  Target Accuracy:  0.00
2020-01-29 04:55 Iteration 00001100, loss   0.3173, accuracy 87.10, exact match  8.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:56 Iteration 00001200, loss   0.2941, accuracy 87.61, exact match  7.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:56 Iteration 00001300, loss   0.2509, accuracy 89.52, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:57 Iteration 00001400, loss   0.2830, accuracy 88.05, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:58 Iteration 00001500, loss   0.2655, accuracy 89.21, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:58 Iteration 00001600, loss   0.3261, accuracy 86.59, exact match  9.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 04:59 Iteration 00001700, loss   0.2759, accuracy 88.76, exact match 11.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:00 Iteration 00001800, loss   0.2749, accuracy 88.51, exact match  8.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:00 Iteration 00001900, loss   0.2864, accuracy 88.15, exact match 12.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:01 Iteration 00002000, loss   0.2841, accuracy 88.72, exact match 15.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:01 Evaluating..
2020-01-29 05:03 Predicted for 2001 examples.
2020-01-29 05:03 Done predicting in 135.0861473083496 seconds.
2020-01-29 05:03   Evaluation Accuracy: 51.57 Exact Match: 11.45  Target Accuracy:  0.00
2020-01-29 05:04 Iteration 00002100, loss   0.2765, accuracy 88.45, exact match 14.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:05 Iteration 00002200, loss   0.2593, accuracy 89.84, exact match 13.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:05 Iteration 00002300, loss   0.2599, accuracy 89.50, exact match 14.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:06 Iteration 00002400, loss   0.2848, accuracy 88.39, exact match 10.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:07 Iteration 00002500, loss   0.2635, accuracy 89.50, exact match 13.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:07 Iteration 00002600, loss   0.2756, accuracy 88.63, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:08 Iteration 00002700, loss   0.2416, accuracy 90.40, exact match 18.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:09 Iteration 00002800, loss   0.2434, accuracy 90.38, exact match 13.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-01-29 05:09 Iteration 00002900, loss   0.2286, accuracy 90.69, exact match 13.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:10 Iteration 00003000, loss   0.2517, accuracy 89.77, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:10 Evaluating..
2020-01-29 05:12 Predicted for 2001 examples.
2020-01-29 05:12 Done predicting in 128.96521663665771 seconds.
2020-01-29 05:12   Evaluation Accuracy: 54.74 Exact Match: 15.20  Target Accuracy:  0.00
2020-01-29 05:13 Iteration 00003100, loss   0.2747, accuracy 88.52, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:13 Iteration 00003200, loss   0.2383, accuracy 90.07, exact match 14.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:14 Iteration 00003300, loss   0.2461, accuracy 89.93, exact match 17.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:15 Iteration 00003400, loss   0.2977, accuracy 88.48, exact match 13.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:15 Iteration 00003500, loss   0.2808, accuracy 89.16, exact match 12.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:16 Iteration 00003600, loss   0.2409, accuracy 90.03, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:17 Iteration 00003700, loss   0.2389, accuracy 90.14, exact match 16.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:17 Iteration 00003800, loss   0.2397, accuracy 90.23, exact match 15.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:18 Iteration 00003900, loss   0.2517, accuracy 89.81, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:19 Iteration 00004000, loss   0.2294, accuracy 90.48, exact match 14.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:19 Evaluating..
2020-01-29 05:21 Predicted for 2001 examples.
2020-01-29 05:21 Done predicting in 132.40842604637146 seconds.
2020-01-29 05:21   Evaluation Accuracy: 57.04 Exact Match: 19.40  Target Accuracy:  0.00
2020-01-29 05:22 Iteration 00004100, loss   0.2308, accuracy 90.26, exact match 15.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:22 Iteration 00004200, loss   0.2323, accuracy 91.07, exact match 23.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:23 Iteration 00004300, loss   0.2051, accuracy 91.81, exact match 24.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:24 Iteration 00004400, loss   0.2054, accuracy 91.72, exact match 23.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:24 Iteration 00004500, loss   0.2079, accuracy 91.64, exact match 22.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:25 Iteration 00004600, loss   0.2032, accuracy 91.75, exact match 24.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:26 Iteration 00004700, loss   0.2183, accuracy 91.27, exact match 19.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:26 Iteration 00004800, loss   0.1979, accuracy 92.07, exact match 30.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-01-29 05:27 Iteration 00004900, loss   0.2233, accuracy 90.93, exact match 20.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:28 Iteration 00005000, loss   0.2044, accuracy 91.46, exact match 22.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:28 Evaluating..
2020-01-29 05:30 Predicted for 2001 examples.
2020-01-29 05:30 Done predicting in 113.95656418800354 seconds.
2020-01-29 05:30   Evaluation Accuracy: 66.50 Exact Match: 31.05  Target Accuracy:  0.00
2020-01-29 05:30 Iteration 00005100, loss   0.2145, accuracy 90.98, exact match 20.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:31 Iteration 00005200, loss   0.2023, accuracy 91.63, exact match 26.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:32 Iteration 00005300, loss   0.2073, accuracy 91.97, exact match 28.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:32 Iteration 00005400, loss   0.1886, accuracy 92.47, exact match 30.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:33 Iteration 00005500, loss   0.1849, accuracy 92.86, exact match 32.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:33 Iteration 00005600, loss   0.1970, accuracy 92.40, exact match 31.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:34 Iteration 00005700, loss   0.1853, accuracy 92.83, exact match 30.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:35 Iteration 00005800, loss   0.1745, accuracy 93.47, exact match 38.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:35 Iteration 00005900, loss   0.1625, accuracy 93.44, exact match 43.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:36 Iteration 00006000, loss   0.1540, accuracy 93.49, exact match 34.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:36 Evaluating..
2020-01-29 05:38 Predicted for 2001 examples.
2020-01-29 05:38 Done predicting in 108.11709713935852 seconds.
2020-01-29 05:38   Evaluation Accuracy: 71.88 Exact Match: 38.50  Target Accuracy:  0.00
2020-01-29 05:39 Iteration 00006100, loss   0.1664, accuracy 93.52, exact match 35.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:39 Iteration 00006200, loss   0.1459, accuracy 94.51, exact match 37.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:40 Iteration 00006300, loss   0.1415, accuracy 94.21, exact match 36.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:40 Iteration 00006400, loss   0.1488, accuracy 93.88, exact match 36.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:41 Iteration 00006500, loss   0.1424, accuracy 94.65, exact match 45.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:42 Iteration 00006600, loss   0.1326, accuracy 94.66, exact match 42.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:42 Iteration 00006700, loss   0.1301, accuracy 94.99, exact match 45.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-01-29 05:43 Iteration 00006800, loss   0.1321, accuracy 94.84, exact match 44.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:44 Iteration 00006900, loss   0.1268, accuracy 95.06, exact match 44.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:44 Iteration 00007000, loss   0.1128, accuracy 95.55, exact match 50.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:44 Evaluating..
2020-01-29 05:46 Predicted for 2001 examples.
2020-01-29 05:46 Done predicting in 107.81293940544128 seconds.
2020-01-29 05:46   Evaluation Accuracy: 77.94 Exact Match: 50.35  Target Accuracy:  0.00
2020-01-29 05:47 Iteration 00007100, loss   0.1237, accuracy 95.03, exact match 43.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:47 Iteration 00007200, loss   0.1485, accuracy 93.97, exact match 44.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:48 Iteration 00007300, loss   0.1316, accuracy 95.18, exact match 51.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:49 Iteration 00007400, loss   0.1115, accuracy 95.37, exact match 45.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:49 Iteration 00007500, loss   0.1171, accuracy 95.39, exact match 47.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:50 Iteration 00007600, loss   0.1223, accuracy 95.36, exact match 50.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:51 Iteration 00007700, loss   0.1384, accuracy 94.45, exact match 45.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:51 Iteration 00007800, loss   0.1174, accuracy 95.38, exact match 48.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:52 Iteration 00007900, loss   0.1232, accuracy 95.26, exact match 45.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:53 Iteration 00008000, loss   0.1176, accuracy 95.38, exact match 51.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:53 Evaluating..
2020-01-29 05:54 Predicted for 2001 examples.
2020-01-29 05:54 Done predicting in 103.19676923751831 seconds.
2020-01-29 05:54   Evaluation Accuracy: 82.00 Exact Match: 56.15  Target Accuracy:  0.00
2020-01-29 05:55 Iteration 00008100, loss   0.0998, accuracy 95.75, exact match 53.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:56 Iteration 00008200, loss   0.1000, accuracy 96.19, exact match 53.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:56 Iteration 00008300, loss   0.1087, accuracy 95.92, exact match 58.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:57 Iteration 00008400, loss   0.1263, accuracy 94.74, exact match 46.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:58 Iteration 00008500, loss   0.1058, accuracy 95.82, exact match 54.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:58 Iteration 00008600, loss   0.1191, accuracy 95.87, exact match 55.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 05:59 Iteration 00008700, loss   0.1027, accuracy 96.02, exact match 57.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-01-29 06:00 Iteration 00008800, loss   0.1156, accuracy 95.13, exact match 53.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:00 Iteration 00008900, loss   0.1264, accuracy 95.29, exact match 56.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:01 Iteration 00009000, loss   0.0877, accuracy 96.55, exact match 59.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:01 Evaluating..
2020-01-29 06:03 Predicted for 2001 examples.
2020-01-29 06:03 Done predicting in 100.68818354606628 seconds.
2020-01-29 06:03   Evaluation Accuracy: 86.11 Exact Match: 62.45  Target Accuracy:  0.00
2020-01-29 06:03 Iteration 00009100, loss   0.1076, accuracy 96.22, exact match 58.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:04 Iteration 00009200, loss   0.0977, accuracy 96.16, exact match 58.74, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:04 Iteration 00009300, loss   0.1002, accuracy 95.97, exact match 60.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:05 Iteration 00009400, loss   0.0796, accuracy 96.83, exact match 61.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:06 Iteration 00009500, loss   0.0911, accuracy 96.07, exact match 56.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:06 Iteration 00009600, loss   0.0705, accuracy 97.23, exact match 67.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:07 Iteration 00009700, loss   0.0763, accuracy 97.06, exact match 63.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:08 Iteration 00009800, loss   0.0721, accuracy 97.33, exact match 67.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:08 Iteration 00009900, loss   0.0789, accuracy 96.71, exact match 58.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:09 Iteration 00010000, loss   0.0737, accuracy 96.85, exact match 62.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:09 Evaluating..
2020-01-29 06:11 Predicted for 2001 examples.
2020-01-29 06:11 Done predicting in 99.82281637191772 seconds.
2020-01-29 06:11   Evaluation Accuracy: 89.49 Exact Match: 68.65  Target Accuracy:  0.00
2020-01-29 06:11 Iteration 00010100, loss   0.0743, accuracy 96.96, exact match 61.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:12 Iteration 00010200, loss   0.0829, accuracy 96.54, exact match 65.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:13 Iteration 00010300, loss   0.0696, accuracy 97.22, exact match 65.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:13 Iteration 00010400, loss   0.0671, accuracy 97.31, exact match 67.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:14 Iteration 00010500, loss   0.0650, accuracy 97.76, exact match 74.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:15 Iteration 00010600, loss   0.0811, accuracy 96.57, exact match 65.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:15 Iteration 00010700, loss   0.0649, accuracy 97.68, exact match 71.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-01-29 06:16 Iteration 00010800, loss   0.0683, accuracy 97.43, exact match 74.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:17 Iteration 00010900, loss   0.0716, accuracy 97.25, exact match 66.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:17 Iteration 00011000, loss   0.0618, accuracy 97.73, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:17 Evaluating..
2020-01-29 06:19 Predicted for 2001 examples.
2020-01-29 06:19 Done predicting in 99.58038687705994 seconds.
2020-01-29 06:19   Evaluation Accuracy: 90.85 Exact Match: 72.45  Target Accuracy:  0.00
2020-01-29 06:19 Iteration 00011100, loss   0.0672, accuracy 97.08, exact match 64.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:20 Iteration 00011200, loss   0.0576, accuracy 97.66, exact match 71.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:21 Iteration 00011300, loss   0.0580, accuracy 97.91, exact match 74.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:21 Iteration 00011400, loss   0.0495, accuracy 97.88, exact match 72.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:22 Iteration 00011500, loss   0.0620, accuracy 97.69, exact match 72.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:23 Iteration 00011600, loss   0.0658, accuracy 97.32, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:23 Iteration 00011700, loss   0.0579, accuracy 97.71, exact match 73.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:24 Iteration 00011800, loss   0.0609, accuracy 97.60, exact match 70.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:25 Iteration 00011900, loss   0.0692, accuracy 97.61, exact match 72.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:25 Iteration 00012000, loss   0.0658, accuracy 97.08, exact match 67.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:25 Evaluating..
2020-01-29 06:27 Predicted for 2001 examples.
2020-01-29 06:27 Done predicting in 98.66054916381836 seconds.
2020-01-29 06:27   Evaluation Accuracy: 92.22 Exact Match: 75.30  Target Accuracy:  0.00
2020-01-29 06:28 Iteration 00012100, loss   0.0700, accuracy 97.48, exact match 71.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:28 Iteration 00012200, loss   0.0502, accuracy 97.84, exact match 74.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:29 Iteration 00012300, loss   0.0500, accuracy 97.92, exact match 74.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:30 Iteration 00012400, loss   0.0588, accuracy 97.82, exact match 74.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:30 Iteration 00012500, loss   0.0542, accuracy 97.83, exact match 70.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:31 Iteration 00012600, loss   0.0613, accuracy 97.90, exact match 73.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:31 Iteration 00012700, loss   0.0530, accuracy 97.97, exact match 75.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-01-29 06:32 Iteration 00012800, loss   0.0492, accuracy 97.80, exact match 71.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:33 Iteration 00012900, loss   0.0495, accuracy 97.78, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:33 Iteration 00013000, loss   0.0484, accuracy 97.90, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:33 Evaluating..
2020-01-29 06:35 Predicted for 2001 examples.
2020-01-29 06:35 Done predicting in 97.13080334663391 seconds.
2020-01-29 06:35   Evaluation Accuracy: 93.18 Exact Match: 78.75  Target Accuracy:  0.00
2020-01-29 06:36 Iteration 00013100, loss   0.0465, accuracy 98.08, exact match 79.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:36 Iteration 00013200, loss   0.0519, accuracy 98.00, exact match 75.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:37 Iteration 00013300, loss   0.0471, accuracy 98.06, exact match 75.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:38 Iteration 00013400, loss   0.0547, accuracy 97.90, exact match 72.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:38 Iteration 00013500, loss   0.0606, accuracy 97.78, exact match 74.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:39 Iteration 00013600, loss   0.0466, accuracy 97.94, exact match 74.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:40 Iteration 00013700, loss   0.0665, accuracy 97.14, exact match 67.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:40 Iteration 00013800, loss   0.0616, accuracy 97.72, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:41 Iteration 00013900, loss   0.0533, accuracy 98.12, exact match 75.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:42 Iteration 00014000, loss   0.0535, accuracy 97.81, exact match 76.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:42 Evaluating..
2020-01-29 06:43 Predicted for 2001 examples.
2020-01-29 06:43 Done predicting in 99.51317739486694 seconds.
2020-01-29 06:43   Evaluation Accuracy: 93.30 Exact Match: 79.45  Target Accuracy:  0.00
2020-01-29 06:44 Iteration 00014100, loss   0.0398, accuracy 98.60, exact match 81.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:45 Iteration 00014200, loss   0.0491, accuracy 97.85, exact match 73.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:45 Iteration 00014300, loss   0.0425, accuracy 98.27, exact match 76.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:46 Iteration 00014400, loss   0.0456, accuracy 98.17, exact match 78.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:46 Iteration 00014500, loss   0.0515, accuracy 97.99, exact match 75.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:47 Iteration 00014600, loss   0.0436, accuracy 98.38, exact match 80.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:48 Iteration 00014700, loss   0.0432, accuracy 98.32, exact match 80.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-01-29 06:48 Iteration 00014800, loss   0.0522, accuracy 97.69, exact match 73.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:49 Iteration 00014900, loss   0.0422, accuracy 98.16, exact match 76.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:50 Iteration 00015000, loss   0.0455, accuracy 98.11, exact match 77.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:50 Evaluating..
2020-01-29 06:51 Predicted for 2001 examples.
2020-01-29 06:51 Done predicting in 97.61535167694092 seconds.
2020-01-29 06:51   Evaluation Accuracy: 94.66 Exact Match: 82.85  Target Accuracy:  0.00
2020-01-29 06:52 Iteration 00015100, loss   0.0435, accuracy 98.24, exact match 80.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:53 Iteration 00015200, loss   0.0616, accuracy 97.77, exact match 73.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:53 Iteration 00015300, loss   0.0559, accuracy 97.78, exact match 71.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:54 Iteration 00015400, loss   0.0477, accuracy 98.31, exact match 78.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:55 Iteration 00015500, loss   0.0517, accuracy 97.93, exact match 76.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:55 Iteration 00015600, loss   0.0401, accuracy 98.36, exact match 80.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:56 Iteration 00015700, loss   0.0529, accuracy 97.52, exact match 71.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:57 Iteration 00015800, loss   0.0351, accuracy 98.88, exact match 83.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:57 Iteration 00015900, loss   0.0393, accuracy 98.37, exact match 78.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:58 Iteration 00016000, loss   0.0475, accuracy 98.13, exact match 77.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 06:58 Evaluating..
2020-01-29 07:00 Predicted for 2001 examples.
2020-01-29 07:00 Done predicting in 97.99349474906921 seconds.
2020-01-29 07:00   Evaluation Accuracy: 94.77 Exact Match: 82.50  Target Accuracy:  0.00
2020-01-29 07:00 Iteration 00016100, loss   0.0460, accuracy 97.98, exact match 76.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:01 Iteration 00016200, loss   0.0456, accuracy 98.02, exact match 75.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:01 Iteration 00016300, loss   0.0519, accuracy 98.00, exact match 77.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:02 Iteration 00016400, loss   0.0355, accuracy 98.54, exact match 81.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:03 Iteration 00016500, loss   0.0430, accuracy 98.25, exact match 79.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:03 Iteration 00016600, loss   0.0352, accuracy 98.72, exact match 83.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:04 Iteration 00016700, loss   0.0446, accuracy 98.13, exact match 76.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:05 Iteration 00016800, loss   0.0408, accuracy 98.31, exact match 78.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-01-29 07:05 Iteration 00016900, loss   0.0324, accuracy 98.64, exact match 83.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:06 Iteration 00017000, loss   0.0465, accuracy 97.84, exact match 74.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:06 Evaluating..
2020-01-29 07:08 Predicted for 2001 examples.
2020-01-29 07:08 Done predicting in 96.37842345237732 seconds.
2020-01-29 07:08   Evaluation Accuracy: 95.35 Exact Match: 84.50  Target Accuracy:  0.00
2020-01-29 07:08 Iteration 00017100, loss   0.0437, accuracy 98.31, exact match 78.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:09 Iteration 00017200, loss   0.0429, accuracy 98.04, exact match 76.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:10 Iteration 00017300, loss   0.0403, accuracy 98.55, exact match 79.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:10 Iteration 00017400, loss   0.0340, accuracy 98.61, exact match 80.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:11 Iteration 00017500, loss   0.0480, accuracy 97.79, exact match 76.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:11 Iteration 00017600, loss   0.0494, accuracy 97.99, exact match 77.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:12 Iteration 00017700, loss   0.0315, accuracy 98.82, exact match 84.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:13 Iteration 00017800, loss   0.0411, accuracy 98.58, exact match 82.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:13 Iteration 00017900, loss   0.0290, accuracy 98.82, exact match 84.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:14 Iteration 00018000, loss   0.0330, accuracy 99.00, exact match 87.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:14 Evaluating..
2020-01-29 07:16 Predicted for 2001 examples.
2020-01-29 07:16 Done predicting in 96.75174689292908 seconds.
2020-01-29 07:16   Evaluation Accuracy: 95.84 Exact Match: 85.65  Target Accuracy:  0.00
2020-01-29 07:16 Iteration 00018100, loss   0.0365, accuracy 98.52, exact match 80.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:17 Iteration 00018200, loss   0.0353, accuracy 98.49, exact match 82.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:18 Iteration 00018300, loss   0.0358, accuracy 98.59, exact match 82.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:18 Iteration 00018400, loss   0.0375, accuracy 98.48, exact match 81.82, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:19 Iteration 00018500, loss   0.0303, accuracy 98.94, exact match 85.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:20 Iteration 00018600, loss   0.0361, accuracy 98.63, exact match 83.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:20 Iteration 00018700, loss   0.0331, accuracy 98.74, exact match 86.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:21 Iteration 00018800, loss   0.0281, accuracy 99.09, exact match 88.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:22 Iteration 00018900, loss   0.0334, accuracy 98.71, exact match 82.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-01-29 07:22 Iteration 00019000, loss   0.0418, accuracy 98.15, exact match 77.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:22 Evaluating..
2020-01-29 07:24 Predicted for 2001 examples.
2020-01-29 07:24 Done predicting in 96.84978413581848 seconds.
2020-01-29 07:24   Evaluation Accuracy: 95.99 Exact Match: 86.75  Target Accuracy:  0.00
2020-01-29 07:25 Iteration 00019100, loss   0.0408, accuracy 98.18, exact match 78.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:25 Iteration 00019200, loss   0.0374, accuracy 98.53, exact match 80.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:26 Iteration 00019300, loss   0.0423, accuracy 98.35, exact match 80.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:27 Iteration 00019400, loss   0.0398, accuracy 98.87, exact match 85.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:27 Iteration 00019500, loss   0.0400, accuracy 98.50, exact match 83.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:28 Iteration 00019600, loss   0.0347, accuracy 98.31, exact match 77.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:29 Iteration 00019700, loss   0.0391, accuracy 98.48, exact match 84.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:29 Iteration 00019800, loss   0.0289, accuracy 98.79, exact match 85.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:30 Iteration 00019900, loss   0.0286, accuracy 98.95, exact match 87.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:31 Iteration 00020000, loss   0.0362, accuracy 98.64, exact match 84.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:31 Evaluating..
2020-01-29 07:32 Predicted for 2001 examples.
2020-01-29 07:32 Done predicting in 97.02613043785095 seconds.
2020-01-29 07:32   Evaluation Accuracy: 96.18 Exact Match: 87.15  Target Accuracy:  0.00
2020-01-29 07:33 Iteration 00020100, loss   0.0307, accuracy 98.86, exact match 86.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:33 Iteration 00020200, loss   0.0447, accuracy 98.32, exact match 79.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:34 Iteration 00020300, loss   0.0308, accuracy 98.73, exact match 84.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:35 Iteration 00020400, loss   0.0328, accuracy 98.71, exact match 84.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:35 Iteration 00020500, loss   0.0359, accuracy 98.49, exact match 82.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:36 Iteration 00020600, loss   0.0305, accuracy 98.66, exact match 83.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:37 Iteration 00020700, loss   0.0262, accuracy 99.01, exact match 87.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:37 Iteration 00020800, loss   0.0350, accuracy 98.64, exact match 83.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:38 Iteration 00020900, loss   0.0339, accuracy 98.63, exact match 83.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:39 Iteration 00021000, loss   0.0334, accuracy 98.65, exact match 81.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-01-29 07:39 Evaluating..
2020-01-29 07:40 Predicted for 2001 examples.
2020-01-29 07:40 Done predicting in 96.91292786598206 seconds.
2020-01-29 07:40   Evaluation Accuracy: 96.52 Exact Match: 87.15  Target Accuracy:  0.00
2020-01-29 07:41 Iteration 00021100, loss   0.0342, accuracy 98.61, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:41 Iteration 00021200, loss   0.0261, accuracy 99.11, exact match 87.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:42 Iteration 00021300, loss   0.0353, accuracy 98.85, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:43 Iteration 00021400, loss   0.0300, accuracy 98.80, exact match 84.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:43 Iteration 00021500, loss   0.0297, accuracy 98.89, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:44 Iteration 00021600, loss   0.0332, accuracy 98.79, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:45 Iteration 00021700, loss   0.0356, accuracy 98.74, exact match 86.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:45 Iteration 00021800, loss   0.0330, accuracy 98.71, exact match 83.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:46 Iteration 00021900, loss   0.0324, accuracy 98.69, exact match 82.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:47 Iteration 00022000, loss   0.0327, accuracy 98.92, exact match 86.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:47 Evaluating..
2020-01-29 07:48 Predicted for 2001 examples.
2020-01-29 07:48 Done predicting in 96.10160207748413 seconds.
2020-01-29 07:48   Evaluation Accuracy: 97.01 Exact Match: 89.05  Target Accuracy:  0.00
2020-01-29 07:49 Iteration 00022100, loss   0.0284, accuracy 99.04, exact match 87.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:50 Iteration 00022200, loss   0.0307, accuracy 98.94, exact match 86.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:50 Iteration 00022300, loss   0.0334, accuracy 98.72, exact match 82.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:51 Iteration 00022400, loss   0.0303, accuracy 98.73, exact match 84.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:51 Iteration 00022500, loss   0.0214, accuracy 99.18, exact match 89.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:52 Iteration 00022600, loss   0.0290, accuracy 98.86, exact match 85.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:53 Iteration 00022700, loss   0.0230, accuracy 99.08, exact match 88.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:53 Iteration 00022800, loss   0.0248, accuracy 99.17, exact match 88.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:54 Iteration 00022900, loss   0.0275, accuracy 98.91, exact match 85.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:55 Iteration 00023000, loss   0.0324, accuracy 98.81, exact match 86.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:55 Evaluating..
2020-01-29 07:56 Predicted for 2001 examples.
2020-01-29 07:56 Done predicting in 96.80409169197083 seconds.
2020-01-29 07:56   Evaluation Accuracy: 96.71 Exact Match: 88.35  Target Accuracy:  0.00
2020-01-29 07:57 Iteration 00023100, loss   0.0341, accuracy 98.86, exact match 83.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-01-29 07:58 Iteration 00023200, loss   0.0296, accuracy 99.17, exact match 90.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 07:58 Iteration 00023300, loss   0.0321, accuracy 98.83, exact match 84.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 07:59 Iteration 00023400, loss   0.0265, accuracy 98.91, exact match 86.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:00 Iteration 00023500, loss   0.0393, accuracy 98.51, exact match 82.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:00 Iteration 00023600, loss   0.0232, accuracy 98.97, exact match 85.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:01 Iteration 00023700, loss   0.0350, accuracy 98.51, exact match 82.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:01 Iteration 00023800, loss   0.0364, accuracy 98.70, exact match 84.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:02 Iteration 00023900, loss   0.0354, accuracy 98.58, exact match 82.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:03 Iteration 00024000, loss   0.0340, accuracy 98.71, exact match 81.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:03 Evaluating..
2020-01-29 08:04 Predicted for 2001 examples.
2020-01-29 08:04 Done predicting in 96.42376613616943 seconds.
2020-01-29 08:04   Evaluation Accuracy: 97.38 Exact Match: 89.85  Target Accuracy:  0.00
2020-01-29 08:05 Iteration 00024100, loss   0.0222, accuracy 99.30, exact match 91.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:06 Iteration 00024200, loss   0.0251, accuracy 99.17, exact match 88.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:06 Iteration 00024300, loss   0.0229, accuracy 99.12, exact match 87.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:07 Iteration 00024400, loss   0.0212, accuracy 99.31, exact match 90.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:08 Iteration 00024500, loss   0.0326, accuracy 98.64, exact match 81.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:08 Iteration 00024600, loss   0.0263, accuracy 99.05, exact match 88.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:09 Iteration 00024700, loss   0.0252, accuracy 99.13, exact match 88.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:10 Iteration 00024800, loss   0.0362, accuracy 98.60, exact match 83.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:10 Iteration 00024900, loss   0.0209, accuracy 99.11, exact match 90.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:11 Iteration 00025000, loss   0.0275, accuracy 98.87, exact match 85.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:11 Evaluating..
2020-01-29 08:12 Predicted for 2001 examples.
2020-01-29 08:12 Done predicting in 95.74951982498169 seconds.
2020-01-29 08:12   Evaluation Accuracy: 97.62 Exact Match: 91.10  Target Accuracy:  0.00
2020-01-29 08:13 Iteration 00025100, loss   0.0235, accuracy 99.10, exact match 89.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:14 Iteration 00025200, loss   0.0311, accuracy 98.93, exact match 87.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:14 Iteration 00025300, loss   0.0182, accuracy 99.26, exact match 90.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-01-29 08:15 Iteration 00025400, loss   0.0312, accuracy 98.61, exact match 82.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:16 Iteration 00025500, loss   0.0286, accuracy 98.91, exact match 85.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:16 Iteration 00025600, loss   0.0205, accuracy 99.12, exact match 90.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:17 Iteration 00025700, loss   0.0274, accuracy 98.85, exact match 83.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:18 Iteration 00025800, loss   0.0447, accuracy 98.54, exact match 84.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:18 Iteration 00025900, loss   0.0263, accuracy 99.02, exact match 87.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:19 Iteration 00026000, loss   0.0232, accuracy 99.07, exact match 87.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:19 Evaluating..
2020-01-29 08:20 Predicted for 2001 examples.
2020-01-29 08:20 Done predicting in 95.70645260810852 seconds.
2020-01-29 08:20   Evaluation Accuracy: 97.14 Exact Match: 90.30  Target Accuracy:  0.00
2020-01-29 08:21 Iteration 00026100, loss   0.0261, accuracy 99.12, exact match 88.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:22 Iteration 00026200, loss   0.0223, accuracy 98.94, exact match 86.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:22 Iteration 00026300, loss   0.0211, accuracy 99.13, exact match 89.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:23 Iteration 00026400, loss   0.0287, accuracy 98.98, exact match 87.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:24 Iteration 00026500, loss   0.0228, accuracy 98.94, exact match 86.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:24 Iteration 00026600, loss   0.0151, accuracy 99.46, exact match 92.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:25 Iteration 00026700, loss   0.0259, accuracy 99.06, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:26 Iteration 00026800, loss   0.0277, accuracy 98.94, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:26 Iteration 00026900, loss   0.0264, accuracy 99.09, exact match 88.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:27 Iteration 00027000, loss   0.0297, accuracy 98.85, exact match 84.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:27 Evaluating..
2020-01-29 08:28 Predicted for 2001 examples.
2020-01-29 08:28 Done predicting in 95.59912085533142 seconds.
2020-01-29 08:28   Evaluation Accuracy: 97.47 Exact Match: 91.10  Target Accuracy:  0.00
2020-01-29 08:29 Iteration 00027100, loss   0.0158, accuracy 99.34, exact match 90.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:30 Iteration 00027200, loss   0.0144, accuracy 99.41, exact match 92.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:30 Iteration 00027300, loss   0.0295, accuracy 98.85, exact match 86.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:31 Iteration 00027400, loss   0.0224, accuracy 99.14, exact match 89.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:32 Iteration 00027500, loss   0.0262, accuracy 98.95, exact match 87.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-01-29 08:32 Iteration 00027600, loss   0.0195, accuracy 99.17, exact match 88.11, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:33 Iteration 00027700, loss   0.0214, accuracy 99.11, exact match 88.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:34 Iteration 00027800, loss   0.0297, accuracy 98.73, exact match 83.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:34 Iteration 00027900, loss   0.0247, accuracy 99.14, exact match 89.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:35 Iteration 00028000, loss   0.0268, accuracy 99.00, exact match 86.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:35 Evaluating..
2020-01-29 08:37 Predicted for 2001 examples.
2020-01-29 08:37 Done predicting in 96.35701012611389 seconds.
2020-01-29 08:37   Evaluation Accuracy: 97.58 Exact Match: 91.70  Target Accuracy:  0.00
2020-01-29 08:37 Iteration 00028100, loss   0.0295, accuracy 98.94, exact match 86.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:38 Iteration 00028200, loss   0.0200, accuracy 99.15, exact match 89.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:38 Iteration 00028300, loss   0.0323, accuracy 98.88, exact match 85.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:39 Iteration 00028400, loss   0.0201, accuracy 99.18, exact match 89.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:40 Iteration 00028500, loss   0.0175, accuracy 99.40, exact match 91.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:40 Iteration 00028600, loss   0.0248, accuracy 98.99, exact match 88.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:41 Iteration 00028700, loss   0.0270, accuracy 99.16, exact match 90.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:42 Iteration 00028800, loss   0.0283, accuracy 98.77, exact match 86.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:42 Iteration 00028900, loss   0.0294, accuracy 98.99, exact match 87.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:43 Iteration 00029000, loss   0.0257, accuracy 98.78, exact match 84.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:43 Evaluating..
2020-01-29 08:45 Predicted for 2001 examples.
2020-01-29 08:45 Done predicting in 97.40834307670593 seconds.
2020-01-29 08:45   Evaluation Accuracy: 97.55 Exact Match: 91.45  Target Accuracy:  0.00
2020-01-29 08:45 Iteration 00029100, loss   0.0147, accuracy 99.52, exact match 93.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:46 Iteration 00029200, loss   0.0226, accuracy 99.07, exact match 90.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:47 Iteration 00029300, loss   0.0169, accuracy 99.50, exact match 93.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:47 Iteration 00029400, loss   0.0284, accuracy 99.18, exact match 89.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:48 Iteration 00029500, loss   0.0209, accuracy 99.21, exact match 88.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:49 Iteration 00029600, loss   0.0173, accuracy 99.29, exact match 89.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:49 Iteration 00029700, loss   0.0208, accuracy 99.32, exact match 91.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-01-29 08:50 Iteration 00029800, loss   0.0270, accuracy 99.12, exact match 88.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:50 Iteration 00029900, loss   0.0316, accuracy 99.01, exact match 86.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:51 Iteration 00030000, loss   0.0213, accuracy 99.28, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:51 Evaluating..
2020-01-29 08:53 Predicted for 2001 examples.
2020-01-29 08:53 Done predicting in 96.14204168319702 seconds.
2020-01-29 08:53   Evaluation Accuracy: 97.80 Exact Match: 92.15  Target Accuracy:  0.00
2020-01-29 08:53 Iteration 00030100, loss   0.0217, accuracy 99.16, exact match 89.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:54 Iteration 00030200, loss   0.0229, accuracy 99.00, exact match 87.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:55 Iteration 00030300, loss   0.0253, accuracy 98.99, exact match 88.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:55 Iteration 00030400, loss   0.0182, accuracy 99.23, exact match 90.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:56 Iteration 00030500, loss   0.0146, accuracy 99.40, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:57 Iteration 00030600, loss   0.0212, accuracy 99.12, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:57 Iteration 00030700, loss   0.0198, accuracy 99.28, exact match 90.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:58 Iteration 00030800, loss   0.0219, accuracy 99.06, exact match 87.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:58 Iteration 00030900, loss   0.0203, accuracy 99.27, exact match 89.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:59 Iteration 00031000, loss   0.0167, accuracy 99.44, exact match 92.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 08:59 Evaluating..
2020-01-29 09:01 Predicted for 2001 examples.
2020-01-29 09:01 Done predicting in 96.10040974617004 seconds.
2020-01-29 09:01   Evaluation Accuracy: 97.68 Exact Match: 91.65  Target Accuracy:  0.00
2020-01-29 09:01 Iteration 00031100, loss   0.0386, accuracy 99.08, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:02 Iteration 00031200, loss   0.0290, accuracy 99.01, exact match 86.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:03 Iteration 00031300, loss   0.0201, accuracy 99.26, exact match 90.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:03 Iteration 00031400, loss   0.0262, accuracy 98.86, exact match 85.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:04 Iteration 00031500, loss   0.0165, accuracy 99.37, exact match 92.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:05 Iteration 00031600, loss   0.0194, accuracy 99.26, exact match 90.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:05 Iteration 00031700, loss   0.0300, accuracy 98.84, exact match 86.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:06 Iteration 00031800, loss   0.0324, accuracy 98.87, exact match 85.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:07 Iteration 00031900, loss   0.0176, accuracy 99.28, exact match 91.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-01-29 09:07 Iteration 00032000, loss   0.0242, accuracy 99.08, exact match 87.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:07 Evaluating..
2020-01-29 09:09 Predicted for 2001 examples.
2020-01-29 09:09 Done predicting in 96.0723090171814 seconds.
2020-01-29 09:09   Evaluation Accuracy: 98.02 Exact Match: 93.20  Target Accuracy:  0.00
2020-01-29 09:09 Iteration 00032100, loss   0.0206, accuracy 99.20, exact match 90.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:10 Iteration 00032200, loss   0.0172, accuracy 99.35, exact match 90.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:11 Iteration 00032300, loss   0.0163, accuracy 99.35, exact match 91.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:11 Iteration 00032400, loss   0.0193, accuracy 99.21, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:12 Iteration 00032500, loss   0.0257, accuracy 99.13, exact match 89.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:13 Iteration 00032600, loss   0.0230, accuracy 99.36, exact match 91.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:13 Iteration 00032700, loss   0.0205, accuracy 99.18, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:14 Iteration 00032800, loss   0.0219, accuracy 99.30, exact match 91.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:15 Iteration 00032900, loss   0.0174, accuracy 99.31, exact match 91.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:15 Iteration 00033000, loss   0.0153, accuracy 99.47, exact match 92.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:15 Evaluating..
2020-01-29 09:17 Predicted for 2001 examples.
2020-01-29 09:17 Done predicting in 95.7825129032135 seconds.
2020-01-29 09:17   Evaluation Accuracy: 98.20 Exact Match: 93.20  Target Accuracy:  0.00
2020-01-29 09:17 Iteration 00033100, loss   0.0132, accuracy 99.58, exact match 94.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:18 Iteration 00033200, loss   0.0179, accuracy 99.30, exact match 89.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:19 Iteration 00033300, loss   0.0157, accuracy 99.43, exact match 93.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:19 Iteration 00033400, loss   0.0238, accuracy 99.40, exact match 91.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:20 Iteration 00033500, loss   0.0219, accuracy 99.20, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:21 Iteration 00033600, loss   0.0188, accuracy 99.24, exact match 91.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:21 Iteration 00033700, loss   0.0202, accuracy 99.39, exact match 92.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:22 Iteration 00033800, loss   0.0214, accuracy 99.20, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:23 Iteration 00033900, loss   0.0179, accuracy 99.37, exact match 91.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:23 Iteration 00034000, loss   0.0220, accuracy 99.14, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:23 Evaluating..
2020-01-29 09:25 Predicted for 2001 examples.
2020-01-29 09:25 Done predicting in 96.10410046577454 seconds.
2020-01-29 09:25   Evaluation Accuracy: 98.12 Exact Match: 93.00  Target Accuracy:  0.00
2020-01-29 09:25 Iteration 00034100, loss   0.0184, accuracy 99.23, exact match 90.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:26 Iteration 00034200, loss   0.0234, accuracy 99.08, exact match 88.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-01-29 09:27 Iteration 00034300, loss   0.0196, accuracy 99.39, exact match 93.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:27 Iteration 00034400, loss   0.0163, accuracy 99.48, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:28 Iteration 00034500, loss   0.0302, accuracy 98.80, exact match 86.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:29 Iteration 00034600, loss   0.0248, accuracy 99.01, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:29 Iteration 00034700, loss   0.0146, accuracy 99.41, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:30 Iteration 00034800, loss   0.0181, accuracy 99.30, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:31 Iteration 00034900, loss   0.0212, accuracy 99.29, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:31 Iteration 00035000, loss   0.0161, accuracy 99.43, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:31 Evaluating..
2020-01-29 09:33 Predicted for 2001 examples.
2020-01-29 09:33 Done predicting in 96.30658960342407 seconds.
2020-01-29 09:33   Evaluation Accuracy: 98.11 Exact Match: 93.40  Target Accuracy:  0.00
2020-01-29 09:33 Iteration 00035100, loss   0.0182, accuracy 99.29, exact match 89.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:34 Iteration 00035200, loss   0.0145, accuracy 99.50, exact match 93.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:35 Iteration 00035300, loss   0.0222, accuracy 99.22, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:35 Iteration 00035400, loss   0.0170, accuracy 99.45, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:36 Iteration 00035500, loss   0.0217, accuracy 99.20, exact match 91.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:37 Iteration 00035600, loss   0.0130, accuracy 99.53, exact match 93.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:37 Iteration 00035700, loss   0.0197, accuracy 99.28, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:38 Iteration 00035800, loss   0.0199, accuracy 99.48, exact match 93.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:39 Iteration 00035900, loss   0.0145, accuracy 99.51, exact match 92.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:39 Iteration 00036000, loss   0.0214, accuracy 99.29, exact match 90.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:39 Evaluating..
2020-01-29 09:41 Predicted for 2001 examples.
2020-01-29 09:41 Done predicting in 96.04482388496399 seconds.
2020-01-29 09:41   Evaluation Accuracy: 98.16 Exact Match: 93.65  Target Accuracy:  0.00
2020-01-29 09:42 Iteration 00036100, loss   0.0172, accuracy 99.35, exact match 92.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:42 Iteration 00036200, loss   0.0187, accuracy 99.25, exact match 90.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:43 Iteration 00036300, loss   0.0179, accuracy 99.39, exact match 90.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:43 Iteration 00036400, loss   0.0313, accuracy 98.83, exact match 86.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:44 Iteration 00036500, loss   0.0151, accuracy 99.45, exact match 93.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-01-29 09:45 Iteration 00036600, loss   0.0147, accuracy 99.30, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:45 Iteration 00036700, loss   0.0158, accuracy 99.33, exact match 91.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:46 Iteration 00036800, loss   0.0192, accuracy 99.20, exact match 89.51, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:47 Iteration 00036900, loss   0.0193, accuracy 99.29, exact match 90.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:47 Iteration 00037000, loss   0.0188, accuracy 99.46, exact match 93.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:47 Evaluating..
2020-01-29 09:49 Predicted for 2001 examples.
2020-01-29 09:49 Done predicting in 95.7528772354126 seconds.
2020-01-29 09:49   Evaluation Accuracy: 98.34 Exact Match: 93.40  Target Accuracy:  0.00
2020-01-29 09:50 Iteration 00037100, loss   0.0100, accuracy 99.58, exact match 94.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:50 Iteration 00037200, loss   0.0230, accuracy 99.04, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:51 Iteration 00037300, loss   0.0162, accuracy 99.43, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:51 Iteration 00037400, loss   0.0164, accuracy 99.37, exact match 92.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:52 Iteration 00037500, loss   0.0143, accuracy 99.55, exact match 94.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:53 Iteration 00037600, loss   0.0187, accuracy 99.35, exact match 91.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:53 Iteration 00037700, loss   0.0167, accuracy 99.50, exact match 94.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:54 Iteration 00037800, loss   0.0138, accuracy 99.51, exact match 93.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:55 Iteration 00037900, loss   0.0129, accuracy 99.39, exact match 91.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:55 Iteration 00038000, loss   0.0164, accuracy 99.46, exact match 92.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:55 Evaluating..
2020-01-29 09:57 Predicted for 2001 examples.
2020-01-29 09:57 Done predicting in 96.92110872268677 seconds.
2020-01-29 09:57   Evaluation Accuracy: 98.38 Exact Match: 94.25  Target Accuracy:  0.00
2020-01-29 09:58 Iteration 00038100, loss   0.0150, accuracy 99.61, exact match 95.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:58 Iteration 00038200, loss   0.0244, accuracy 99.05, exact match 87.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 09:59 Iteration 00038300, loss   0.0123, accuracy 99.60, exact match 94.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:00 Iteration 00038400, loss   0.0151, accuracy 99.39, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:00 Iteration 00038500, loss   0.0178, accuracy 99.40, exact match 91.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:01 Iteration 00038600, loss   0.0133, accuracy 99.48, exact match 93.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:01 Iteration 00038700, loss   0.0169, accuracy 99.39, exact match 92.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:02 Iteration 00038800, loss   0.0234, accuracy 99.11, exact match 89.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-01-29 10:03 Iteration 00038900, loss   0.0203, accuracy 99.30, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:03 Iteration 00039000, loss   0.0146, accuracy 99.58, exact match 94.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:03 Evaluating..
2020-01-29 10:05 Predicted for 2001 examples.
2020-01-29 10:05 Done predicting in 95.57479000091553 seconds.
2020-01-29 10:05   Evaluation Accuracy: 98.53 Exact Match: 94.40  Target Accuracy:  0.00
2020-01-29 10:06 Iteration 00039100, loss   0.0142, accuracy 99.42, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:06 Iteration 00039200, loss   0.0143, accuracy 99.50, exact match 93.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:07 Iteration 00039300, loss   0.0156, accuracy 99.48, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:08 Iteration 00039400, loss   0.0174, accuracy 99.27, exact match 89.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:08 Iteration 00039500, loss   0.0225, accuracy 99.07, exact match 88.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:09 Iteration 00039600, loss   0.0218, accuracy 99.24, exact match 91.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:09 Iteration 00039700, loss   0.0109, accuracy 99.57, exact match 93.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:10 Iteration 00039800, loss   0.0121, accuracy 99.53, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:11 Iteration 00039900, loss   0.0170, accuracy 99.41, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:11 Iteration 00040000, loss   0.0222, accuracy 99.21, exact match 91.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:11 Evaluating..
2020-01-29 10:13 Predicted for 2001 examples.
2020-01-29 10:13 Done predicting in 95.56345725059509 seconds.
2020-01-29 10:13   Evaluation Accuracy: 98.41 Exact Match: 94.40  Target Accuracy:  0.00
2020-01-29 10:14 Iteration 00040100, loss   0.0157, accuracy 99.42, exact match 93.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:14 Iteration 00040200, loss   0.0142, accuracy 99.46, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:15 Iteration 00040300, loss   0.0223, accuracy 99.35, exact match 92.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:16 Iteration 00040400, loss   0.0136, accuracy 99.57, exact match 93.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:16 Iteration 00040500, loss   0.0146, accuracy 99.36, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:17 Iteration 00040600, loss   0.0174, accuracy 99.34, exact match 91.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:17 Iteration 00040700, loss   0.0209, accuracy 99.32, exact match 90.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:18 Iteration 00040800, loss   0.0152, accuracy 99.58, exact match 94.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:19 Iteration 00040900, loss   0.0145, accuracy 99.49, exact match 92.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:19 Iteration 00041000, loss   0.0134, accuracy 99.55, exact match 93.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:19 Evaluating..
2020-01-29 10:21 Predicted for 2001 examples.
2020-01-29 10:21 Done predicting in 95.88794445991516 seconds.
2020-01-29 10:21   Evaluation Accuracy: 98.51 Exact Match: 94.35  Target Accuracy:  0.00
2020-01-29 10:22 Iteration 00041100, loss   0.0172, accuracy 99.42, exact match 93.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-01-29 10:22 Iteration 00041200, loss   0.0116, accuracy 99.51, exact match 93.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:23 Iteration 00041300, loss   0.0174, accuracy 99.21, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:24 Iteration 00041400, loss   0.0287, accuracy 99.15, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:24 Iteration 00041500, loss   0.0231, accuracy 99.43, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:25 Iteration 00041600, loss   0.0169, accuracy 99.51, exact match 94.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:26 Iteration 00041700, loss   0.0155, accuracy 99.44, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:26 Iteration 00041800, loss   0.0123, accuracy 99.44, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:27 Iteration 00041900, loss   0.0151, accuracy 99.39, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:28 Iteration 00042000, loss   0.0217, accuracy 99.36, exact match 91.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:28 Evaluating..
2020-01-29 10:29 Predicted for 2001 examples.
2020-01-29 10:29 Done predicting in 100.61194491386414 seconds.
2020-01-29 10:29   Evaluation Accuracy: 98.71 Exact Match: 94.75  Target Accuracy:  0.00
2020-01-29 10:30 Iteration 00042100, loss   0.0145, accuracy 99.42, exact match 92.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:31 Iteration 00042200, loss   0.0129, accuracy 99.47, exact match 93.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:31 Iteration 00042300, loss   0.0255, accuracy 99.08, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:32 Iteration 00042400, loss   0.0137, accuracy 99.48, exact match 92.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:33 Iteration 00042500, loss   0.0242, accuracy 99.15, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:33 Iteration 00042600, loss   0.0131, accuracy 99.59, exact match 94.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:34 Iteration 00042700, loss   0.0125, accuracy 99.55, exact match 93.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:35 Iteration 00042800, loss   0.0215, accuracy 99.13, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:35 Iteration 00042900, loss   0.0118, accuracy 99.44, exact match 91.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:36 Iteration 00043000, loss   0.0197, accuracy 99.36, exact match 91.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:36 Evaluating..
2020-01-29 10:38 Predicted for 2001 examples.
2020-01-29 10:38 Done predicting in 101.17498016357422 seconds.
2020-01-29 10:38   Evaluation Accuracy: 98.33 Exact Match: 94.20  Target Accuracy:  0.00
2020-01-29 10:38 Iteration 00043100, loss   0.0203, accuracy 99.28, exact match 90.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:39 Iteration 00043200, loss   0.0220, accuracy 99.17, exact match 90.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:40 Iteration 00043300, loss   0.0163, accuracy 99.43, exact match 93.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:40 Iteration 00043400, loss   0.0112, accuracy 99.70, exact match 96.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:41 Iteration 00043500, loss   0.0208, accuracy 99.36, exact match 91.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-01-29 10:42 Iteration 00043600, loss   0.0145, accuracy 99.41, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:43 Iteration 00043700, loss   0.0224, accuracy 99.16, exact match 89.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:43 Iteration 00043800, loss   0.0151, accuracy 99.38, exact match 91.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:44 Iteration 00043900, loss   0.0184, accuracy 99.38, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:45 Iteration 00044000, loss   0.0133, accuracy 99.61, exact match 95.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:45 Evaluating..
2020-01-29 10:46 Predicted for 2001 examples.
2020-01-29 10:46 Done predicting in 100.60974550247192 seconds.
2020-01-29 10:46   Evaluation Accuracy: 98.43 Exact Match: 94.85  Target Accuracy:  0.00
2020-01-29 10:47 Iteration 00044100, loss   0.0234, accuracy 99.39, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:48 Iteration 00044200, loss   0.0112, accuracy 99.59, exact match 94.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:48 Iteration 00044300, loss   0.0085, accuracy 99.73, exact match 95.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:49 Iteration 00044400, loss   0.0105, accuracy 99.77, exact match 96.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:50 Iteration 00044500, loss   0.0159, accuracy 99.37, exact match 91.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:50 Iteration 00044600, loss   0.0094, accuracy 99.66, exact match 95.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:51 Iteration 00044700, loss   0.0179, accuracy 99.16, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:52 Iteration 00044800, loss   0.0136, accuracy 99.50, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:52 Iteration 00044900, loss   0.0159, accuracy 99.40, exact match 93.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:53 Iteration 00045000, loss   0.0189, accuracy 99.31, exact match 92.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:53 Evaluating..
2020-01-29 10:55 Predicted for 2001 examples.
2020-01-29 10:55 Done predicting in 100.99782347679138 seconds.
2020-01-29 10:55   Evaluation Accuracy: 98.50 Exact Match: 94.20  Target Accuracy:  0.00
2020-01-29 10:55 Iteration 00045100, loss   0.0163, accuracy 99.43, exact match 92.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:56 Iteration 00045200, loss   0.0126, accuracy 99.51, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:57 Iteration 00045300, loss   0.0106, accuracy 99.53, exact match 93.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:57 Iteration 00045400, loss   0.0099, accuracy 99.70, exact match 96.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:58 Iteration 00045500, loss   0.0175, accuracy 99.29, exact match 91.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:59 Iteration 00045600, loss   0.0143, accuracy 99.42, exact match 92.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 10:59 Iteration 00045700, loss   0.0114, accuracy 99.60, exact match 94.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 11:00 Iteration 00045800, loss   0.0108, accuracy 99.51, exact match 94.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 11:01 Iteration 00045900, loss   0.0238, accuracy 99.19, exact match 90.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-01-29 11:01 Iteration 00046000, loss   0.0121, accuracy 99.62, exact match 95.10, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:01 Evaluating..
2020-01-29 11:03 Predicted for 2001 examples.
2020-01-29 11:03 Done predicting in 100.90253210067749 seconds.
2020-01-29 11:03   Evaluation Accuracy: 98.87 Exact Match: 95.50  Target Accuracy:  0.00
2020-01-29 11:04 Iteration 00046100, loss   0.0148, accuracy 99.45, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:04 Iteration 00046200, loss   0.0092, accuracy 99.66, exact match 96.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:05 Iteration 00046300, loss   0.0163, accuracy 99.61, exact match 95.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:06 Iteration 00046400, loss   0.0147, accuracy 99.48, exact match 92.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:07 Iteration 00046500, loss   0.0149, accuracy 99.42, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:07 Iteration 00046600, loss   0.0185, accuracy 99.20, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:08 Iteration 00046700, loss   0.0119, accuracy 99.67, exact match 95.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:09 Iteration 00046800, loss   0.0105, accuracy 99.62, exact match 95.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:09 Iteration 00046900, loss   0.0112, accuracy 99.48, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:10 Iteration 00047000, loss   0.0140, accuracy 99.47, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:10 Evaluating..
2020-01-29 11:12 Predicted for 2001 examples.
2020-01-29 11:12 Done predicting in 101.47343850135803 seconds.
2020-01-29 11:12   Evaluation Accuracy: 98.72 Exact Match: 95.80  Target Accuracy:  0.00
2020-01-29 11:12 Iteration 00047100, loss   0.0251, accuracy 99.36, exact match 91.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:13 Iteration 00047200, loss   0.0130, accuracy 99.50, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:14 Iteration 00047300, loss   0.0144, accuracy 99.47, exact match 93.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:14 Iteration 00047400, loss   0.0103, accuracy 99.73, exact match 96.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:15 Iteration 00047500, loss   0.0157, accuracy 99.44, exact match 92.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:16 Iteration 00047600, loss   0.0098, accuracy 99.56, exact match 94.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:16 Iteration 00047700, loss   0.0103, accuracy 99.68, exact match 95.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:17 Iteration 00047800, loss   0.0156, accuracy 99.43, exact match 92.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:18 Iteration 00047900, loss   0.0214, accuracy 99.38, exact match 92.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:18 Iteration 00048000, loss   0.0196, accuracy 99.40, exact match 93.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:18 Evaluating..
2020-01-29 11:20 Predicted for 2001 examples.
2020-01-29 11:20 Done predicting in 95.1567451953888 seconds.
2020-01-29 11:20   Evaluation Accuracy: 98.37 Exact Match: 94.45  Target Accuracy:  0.00
2020-01-29 11:20 Iteration 00048100, loss   0.0115, accuracy 99.60, exact match 94.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:21 Iteration 00048200, loss   0.0182, accuracy 99.34, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:22 Iteration 00048300, loss   0.0104, accuracy 99.58, exact match 94.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-01-29 11:22 Iteration 00048400, loss   0.0090, accuracy 99.71, exact match 96.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:23 Iteration 00048500, loss   0.0092, accuracy 99.57, exact match 94.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:24 Iteration 00048600, loss   0.0206, accuracy 99.37, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:24 Iteration 00048700, loss   0.0134, accuracy 99.52, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:25 Iteration 00048800, loss   0.0109, accuracy 99.66, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:26 Iteration 00048900, loss   0.0154, accuracy 99.41, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:26 Iteration 00049000, loss   0.0156, accuracy 99.40, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:26 Evaluating..
2020-01-29 11:28 Predicted for 2001 examples.
2020-01-29 11:28 Done predicting in 95.81340146064758 seconds.
2020-01-29 11:28   Evaluation Accuracy: 98.74 Exact Match: 95.35  Target Accuracy:  0.00
2020-01-29 11:28 Iteration 00049100, loss   0.0173, accuracy 99.44, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:29 Iteration 00049200, loss   0.0116, accuracy 99.65, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:30 Iteration 00049300, loss   0.0115, accuracy 99.55, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:30 Iteration 00049400, loss   0.0138, accuracy 99.60, exact match 94.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:31 Iteration 00049500, loss   0.0119, accuracy 99.71, exact match 96.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:32 Iteration 00049600, loss   0.0163, accuracy 99.61, exact match 94.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:32 Iteration 00049700, loss   0.0128, accuracy 99.54, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:33 Iteration 00049800, loss   0.0071, accuracy 99.68, exact match 96.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:34 Iteration 00049900, loss   0.0154, accuracy 99.42, exact match 93.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:34 Iteration 00050000, loss   0.0170, accuracy 99.37, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:34 Evaluating..
2020-01-29 11:36 Predicted for 2001 examples.
2020-01-29 11:36 Done predicting in 95.66923975944519 seconds.
2020-01-29 11:36   Evaluation Accuracy: 98.97 Exact Match: 95.80  Target Accuracy:  0.00
2020-01-29 11:36 Iteration 00050100, loss   0.0107, accuracy 99.56, exact match 93.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:37 Iteration 00050200, loss   0.0227, accuracy 99.20, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:38 Iteration 00050300, loss   0.0147, accuracy 99.49, exact match 92.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:38 Iteration 00050400, loss   0.0135, accuracy 99.61, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:39 Iteration 00050500, loss   0.0098, accuracy 99.68, exact match 95.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:40 Iteration 00050600, loss   0.0120, accuracy 99.56, exact match 94.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:40 Iteration 00050700, loss   0.0094, accuracy 99.74, exact match 96.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:41 Iteration 00050800, loss   0.0096, accuracy 99.61, exact match 94.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-01-29 11:42 Iteration 00050900, loss   0.0135, accuracy 99.44, exact match 94.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:42 Iteration 00051000, loss   0.0186, accuracy 99.42, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:42 Evaluating..
2020-01-29 11:44 Predicted for 2001 examples.
2020-01-29 11:44 Done predicting in 97.75940895080566 seconds.
2020-01-29 11:44   Evaluation Accuracy: 98.86 Exact Match: 95.60  Target Accuracy:  0.00
2020-01-29 11:45 Iteration 00051100, loss   0.0111, accuracy 99.61, exact match 94.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:45 Iteration 00051200, loss   0.0180, accuracy 99.42, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:46 Iteration 00051300, loss   0.0133, accuracy 99.60, exact match 95.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:47 Iteration 00051400, loss   0.0128, accuracy 99.53, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:47 Iteration 00051500, loss   0.0154, accuracy 99.53, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:48 Iteration 00051600, loss   0.0086, accuracy 99.72, exact match 96.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:48 Iteration 00051700, loss   0.0149, accuracy 99.21, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:49 Iteration 00051800, loss   0.0177, accuracy 99.43, exact match 93.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:50 Iteration 00051900, loss   0.0198, accuracy 99.40, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:50 Iteration 00052000, loss   0.0123, accuracy 99.45, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:50 Evaluating..
2020-01-29 11:52 Predicted for 2001 examples.
2020-01-29 11:52 Done predicting in 96.17913842201233 seconds.
2020-01-29 11:52   Evaluation Accuracy: 98.76 Exact Match: 95.75  Target Accuracy:  0.00
2020-01-29 11:53 Iteration 00052100, loss   0.0099, accuracy 99.77, exact match 96.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:53 Iteration 00052200, loss   0.0140, accuracy 99.46, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:54 Iteration 00052300, loss   0.0098, accuracy 99.56, exact match 94.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:55 Iteration 00052400, loss   0.0138, accuracy 99.68, exact match 95.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:55 Iteration 00052500, loss   0.0125, accuracy 99.42, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:56 Iteration 00052600, loss   0.0179, accuracy 99.34, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:57 Iteration 00052700, loss   0.0103, accuracy 99.66, exact match 95.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:57 Iteration 00052800, loss   0.0163, accuracy 99.24, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:58 Iteration 00052900, loss   0.0079, accuracy 99.69, exact match 96.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:59 Iteration 00053000, loss   0.0107, accuracy 99.67, exact match 95.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 11:59 Evaluating..
2020-01-29 12:00 Predicted for 2001 examples.
2020-01-29 12:00 Done predicting in 95.84174489974976 seconds.
2020-01-29 12:00   Evaluation Accuracy: 98.80 Exact Match: 95.70  Target Accuracy:  0.00
2020-01-29 12:01 Iteration 00053100, loss   0.0177, accuracy 99.25, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 12:01 Iteration 00053200, loss   0.0166, accuracy 99.28, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 12:02 Iteration 00053300, loss   0.0178, accuracy 99.47, exact match 93.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-01-29 12:03 Iteration 00053400, loss   0.0112, accuracy 99.61, exact match 95.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:03 Iteration 00053500, loss   0.0184, accuracy 99.48, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:04 Iteration 00053600, loss   0.0085, accuracy 99.74, exact match 96.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:05 Iteration 00053700, loss   0.0148, accuracy 99.43, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:05 Iteration 00053800, loss   0.0080, accuracy 99.75, exact match 96.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:06 Iteration 00053900, loss   0.0082, accuracy 99.75, exact match 97.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:07 Iteration 00054000, loss   0.0131, accuracy 99.48, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:07 Evaluating..
2020-01-29 12:08 Predicted for 2001 examples.
2020-01-29 12:08 Done predicting in 95.70768642425537 seconds.
2020-01-29 12:08   Evaluation Accuracy: 98.86 Exact Match: 96.00  Target Accuracy:  0.00
2020-01-29 12:09 Iteration 00054100, loss   0.0118, accuracy 99.53, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:09 Iteration 00054200, loss   0.0125, accuracy 99.61, exact match 95.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:10 Iteration 00054300, loss   0.0106, accuracy 99.60, exact match 94.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:11 Iteration 00054400, loss   0.0121, accuracy 99.57, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:11 Iteration 00054500, loss   0.0104, accuracy 99.52, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:12 Iteration 00054600, loss   0.0085, accuracy 99.70, exact match 95.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:13 Iteration 00054700, loss   0.0136, accuracy 99.58, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:13 Iteration 00054800, loss   0.0092, accuracy 99.78, exact match 97.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:14 Iteration 00054900, loss   0.0211, accuracy 99.12, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:15 Iteration 00055000, loss   0.0104, accuracy 99.62, exact match 96.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:15 Evaluating..
2020-01-29 12:16 Predicted for 2001 examples.
2020-01-29 12:16 Done predicting in 95.19997525215149 seconds.
2020-01-29 12:16   Evaluation Accuracy: 99.05 Exact Match: 96.65  Target Accuracy:  0.00
2020-01-29 12:17 Iteration 00055100, loss   0.0143, accuracy 99.49, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:17 Iteration 00055200, loss   0.0113, accuracy 99.45, exact match 93.01, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:18 Iteration 00055300, loss   0.0085, accuracy 99.64, exact match 94.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:19 Iteration 00055400, loss   0.0176, accuracy 99.38, exact match 92.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:19 Iteration 00055500, loss   0.0147, accuracy 99.52, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:20 Iteration 00055600, loss   0.0157, accuracy 99.41, exact match 93.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:21 Iteration 00055700, loss   0.0077, accuracy 99.69, exact match 96.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:21 Iteration 00055800, loss   0.0111, accuracy 99.59, exact match 94.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-01-29 12:22 Iteration 00055900, loss   0.0103, accuracy 99.62, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:23 Iteration 00056000, loss   0.0137, accuracy 99.53, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:23 Evaluating..
2020-01-29 12:24 Predicted for 2001 examples.
2020-01-29 12:24 Done predicting in 95.64926362037659 seconds.
2020-01-29 12:24   Evaluation Accuracy: 99.08 Exact Match: 96.50  Target Accuracy:  0.00
2020-01-29 12:25 Iteration 00056100, loss   0.0130, accuracy 99.61, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:25 Iteration 00056200, loss   0.0071, accuracy 99.73, exact match 96.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:26 Iteration 00056300, loss   0.0155, accuracy 99.26, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:27 Iteration 00056400, loss   0.0137, accuracy 99.52, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:27 Iteration 00056500, loss   0.0087, accuracy 99.65, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:28 Iteration 00056600, loss   0.0104, accuracy 99.56, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:29 Iteration 00056700, loss   0.0100, accuracy 99.58, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:29 Iteration 00056800, loss   0.0126, accuracy 99.52, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:30 Iteration 00056900, loss   0.0107, accuracy 99.50, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:31 Iteration 00057000, loss   0.0147, accuracy 99.46, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:31 Evaluating..
2020-01-29 12:32 Predicted for 2001 examples.
2020-01-29 12:32 Done predicting in 96.72569632530212 seconds.
2020-01-29 12:32   Evaluation Accuracy: 99.07 Exact Match: 96.55  Target Accuracy:  0.00
2020-01-29 12:33 Iteration 00057100, loss   0.0066, accuracy 99.72, exact match 96.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:34 Iteration 00057200, loss   0.0096, accuracy 99.56, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:34 Iteration 00057300, loss   0.0100, accuracy 99.65, exact match 95.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:35 Iteration 00057400, loss   0.0061, accuracy 99.80, exact match 97.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:35 Iteration 00057500, loss   0.0081, accuracy 99.77, exact match 96.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:36 Iteration 00057600, loss   0.0136, accuracy 99.50, exact match 93.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:37 Iteration 00057700, loss   0.0101, accuracy 99.52, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:37 Iteration 00057800, loss   0.0105, accuracy 99.70, exact match 96.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:38 Iteration 00057900, loss   0.0111, accuracy 99.61, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:39 Iteration 00058000, loss   0.0118, accuracy 99.54, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:39 Evaluating..
2020-01-29 12:40 Predicted for 2001 examples.
2020-01-29 12:40 Done predicting in 96.20734238624573 seconds.
2020-01-29 12:40   Evaluation Accuracy: 98.75 Exact Match: 95.50  Target Accuracy:  0.00
2020-01-29 12:41 Iteration 00058100, loss   0.0074, accuracy 99.79, exact match 97.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:42 Iteration 00058200, loss   0.0091, accuracy 99.68, exact match 95.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:42 Iteration 00058300, loss   0.0091, accuracy 99.58, exact match 93.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:43 Iteration 00058400, loss   0.0106, accuracy 99.67, exact match 95.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-01-29 12:44 Iteration 00058500, loss   0.0096, accuracy 99.61, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:44 Iteration 00058600, loss   0.0150, accuracy 99.48, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:45 Iteration 00058700, loss   0.0134, accuracy 99.54, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:45 Iteration 00058800, loss   0.0081, accuracy 99.79, exact match 97.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:46 Iteration 00058900, loss   0.0081, accuracy 99.80, exact match 97.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:47 Iteration 00059000, loss   0.0143, accuracy 99.42, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:47 Evaluating..
2020-01-29 12:48 Predicted for 2001 examples.
2020-01-29 12:48 Done predicting in 95.89472794532776 seconds.
2020-01-29 12:48   Evaluation Accuracy: 99.00 Exact Match: 96.25  Target Accuracy:  0.00
2020-01-29 12:49 Iteration 00059100, loss   0.0136, accuracy 99.54, exact match 94.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:50 Iteration 00059200, loss   0.0106, accuracy 99.67, exact match 95.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:50 Iteration 00059300, loss   0.0127, accuracy 99.57, exact match 94.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:51 Iteration 00059400, loss   0.0102, accuracy 99.63, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:52 Iteration 00059500, loss   0.0102, accuracy 99.57, exact match 94.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:52 Iteration 00059600, loss   0.0163, accuracy 99.42, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:53 Iteration 00059700, loss   0.0117, accuracy 99.54, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:54 Iteration 00059800, loss   0.0143, accuracy 99.49, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:54 Iteration 00059900, loss   0.0123, accuracy 99.50, exact match 94.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:55 Iteration 00060000, loss   0.0097, accuracy 99.79, exact match 97.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:55 Evaluating..
2020-01-29 12:56 Predicted for 2001 examples.
2020-01-29 12:56 Done predicting in 97.29111790657043 seconds.
2020-01-29 12:56   Evaluation Accuracy: 99.05 Exact Match: 96.05  Target Accuracy:  0.00
2020-01-29 12:57 Iteration 00060100, loss   0.0073, accuracy 99.76, exact match 96.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:58 Iteration 00060200, loss   0.0159, accuracy 99.32, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:58 Iteration 00060300, loss   0.0127, accuracy 99.43, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 12:59 Iteration 00060400, loss   0.0066, accuracy 99.77, exact match 97.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:00 Iteration 00060500, loss   0.0105, accuracy 99.56, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:00 Iteration 00060600, loss   0.0093, accuracy 99.75, exact match 96.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:01 Iteration 00060700, loss   0.0083, accuracy 99.63, exact match 95.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:02 Iteration 00060800, loss   0.0092, accuracy 99.72, exact match 96.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:02 Iteration 00060900, loss   0.0087, accuracy 99.59, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:03 Iteration 00061000, loss   0.0102, accuracy 99.71, exact match 96.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-01-29 13:03 Evaluating..
2020-01-29 13:05 Predicted for 2001 examples.
2020-01-29 13:05 Done predicting in 95.76015663146973 seconds.
2020-01-29 13:05   Evaluation Accuracy: 99.12 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 13:05 Iteration 00061100, loss   0.0137, accuracy 99.63, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:06 Iteration 00061200, loss   0.0099, accuracy 99.55, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:07 Iteration 00061300, loss   0.0151, accuracy 99.42, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:07 Iteration 00061400, loss   0.0114, accuracy 99.61, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:08 Iteration 00061500, loss   0.0183, accuracy 99.21, exact match 90.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:08 Iteration 00061600, loss   0.0081, accuracy 99.62, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:09 Iteration 00061700, loss   0.0076, accuracy 99.68, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:10 Iteration 00061800, loss   0.0116, accuracy 99.63, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:10 Iteration 00061900, loss   0.0079, accuracy 99.73, exact match 96.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:11 Iteration 00062000, loss   0.0112, accuracy 99.51, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:11 Evaluating..
2020-01-29 13:13 Predicted for 2001 examples.
2020-01-29 13:13 Done predicting in 95.80025625228882 seconds.
2020-01-29 13:13   Evaluation Accuracy: 99.02 Exact Match: 96.35  Target Accuracy:  0.00
2020-01-29 13:13 Iteration 00062100, loss   0.0119, accuracy 99.59, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:14 Iteration 00062200, loss   0.0122, accuracy 99.57, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:15 Iteration 00062300, loss   0.0065, accuracy 99.77, exact match 96.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:15 Iteration 00062400, loss   0.0069, accuracy 99.65, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:16 Iteration 00062500, loss   0.0094, accuracy 99.60, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:16 Iteration 00062600, loss   0.0104, accuracy 99.63, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:17 Iteration 00062700, loss   0.0086, accuracy 99.69, exact match 96.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:18 Iteration 00062800, loss   0.0091, accuracy 99.64, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:18 Iteration 00062900, loss   0.0097, accuracy 99.69, exact match 95.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:19 Iteration 00063000, loss   0.0094, accuracy 99.73, exact match 96.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:19 Evaluating..
2020-01-29 13:21 Predicted for 2001 examples.
2020-01-29 13:21 Done predicting in 95.79803824424744 seconds.
2020-01-29 13:21   Evaluation Accuracy: 98.73 Exact Match: 96.25  Target Accuracy:  0.00
2020-01-29 13:21 Iteration 00063100, loss   0.0156, accuracy 99.40, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:22 Iteration 00063200, loss   0.0056, accuracy 99.83, exact match 97.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:23 Iteration 00063300, loss   0.0096, accuracy 99.66, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:23 Iteration 00063400, loss   0.0109, accuracy 99.67, exact match 95.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:24 Iteration 00063500, loss   0.0137, accuracy 99.51, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:24 Iteration 00063600, loss   0.0077, accuracy 99.61, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-01-29 13:25 Iteration 00063700, loss   0.0071, accuracy 99.72, exact match 96.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:26 Iteration 00063800, loss   0.0141, accuracy 99.62, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:26 Iteration 00063900, loss   0.0092, accuracy 99.71, exact match 96.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:27 Iteration 00064000, loss   0.0202, accuracy 99.19, exact match 88.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:27 Evaluating..
2020-01-29 13:29 Predicted for 2001 examples.
2020-01-29 13:29 Done predicting in 95.88341116905212 seconds.
2020-01-29 13:29   Evaluation Accuracy: 99.08 Exact Match: 96.85  Target Accuracy:  0.00
2020-01-29 13:29 Iteration 00064100, loss   0.0085, accuracy 99.57, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:30 Iteration 00064200, loss   0.0085, accuracy 99.79, exact match 97.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:31 Iteration 00064300, loss   0.0135, accuracy 99.58, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:31 Iteration 00064400, loss   0.0099, accuracy 99.71, exact match 95.80, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:32 Iteration 00064500, loss   0.0165, accuracy 99.49, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:33 Iteration 00064600, loss   0.0118, accuracy 99.48, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:33 Iteration 00064700, loss   0.0061, accuracy 99.76, exact match 96.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:34 Iteration 00064800, loss   0.0125, accuracy 99.54, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:34 Iteration 00064900, loss   0.0088, accuracy 99.77, exact match 97.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:35 Iteration 00065000, loss   0.0106, accuracy 99.69, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:35 Evaluating..
2020-01-29 13:37 Predicted for 2001 examples.
2020-01-29 13:37 Done predicting in 95.52818632125854 seconds.
2020-01-29 13:37   Evaluation Accuracy: 99.00 Exact Match: 96.35  Target Accuracy:  0.00
2020-01-29 13:37 Iteration 00065100, loss   0.0087, accuracy 99.67, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:38 Iteration 00065200, loss   0.0127, accuracy 99.56, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:39 Iteration 00065300, loss   0.0137, accuracy 99.59, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:39 Iteration 00065400, loss   0.0109, accuracy 99.64, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:40 Iteration 00065500, loss   0.0129, accuracy 99.59, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:41 Iteration 00065600, loss   0.0211, accuracy 99.43, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:41 Iteration 00065700, loss   0.0090, accuracy 99.68, exact match 96.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:42 Iteration 00065800, loss   0.0148, accuracy 99.49, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:42 Iteration 00065900, loss   0.0065, accuracy 99.83, exact match 97.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:43 Iteration 00066000, loss   0.0093, accuracy 99.59, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:43 Evaluating..
2020-01-29 13:45 Predicted for 2001 examples.
2020-01-29 13:45 Done predicting in 96.25132846832275 seconds.
2020-01-29 13:45   Evaluation Accuracy: 98.88 Exact Match: 96.20  Target Accuracy:  0.00
2020-01-29 13:45 Iteration 00066100, loss   0.0078, accuracy 99.72, exact match 96.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:46 Iteration 00066200, loss   0.0137, accuracy 99.59, exact match 95.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:47 Iteration 00066300, loss   0.0105, accuracy 99.70, exact match 95.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-01-29 13:47 Iteration 00066400, loss   0.0091, accuracy 99.61, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:48 Iteration 00066500, loss   0.0098, accuracy 99.59, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:49 Iteration 00066600, loss   0.0113, accuracy 99.64, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:49 Iteration 00066700, loss   0.0109, accuracy 99.59, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:50 Iteration 00066800, loss   0.0122, accuracy 99.61, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:51 Iteration 00066900, loss   0.0085, accuracy 99.76, exact match 97.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:51 Iteration 00067000, loss   0.0051, accuracy 99.83, exact match 97.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:51 Evaluating..
2020-01-29 13:53 Predicted for 2001 examples.
2020-01-29 13:53 Done predicting in 95.88538122177124 seconds.
2020-01-29 13:53   Evaluation Accuracy: 98.85 Exact Match: 96.25  Target Accuracy:  0.00
2020-01-29 13:53 Iteration 00067100, loss   0.0103, accuracy 99.54, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:54 Iteration 00067200, loss   0.0104, accuracy 99.65, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:55 Iteration 00067300, loss   0.0104, accuracy 99.56, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:55 Iteration 00067400, loss   0.0121, accuracy 99.60, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:56 Iteration 00067500, loss   0.0117, accuracy 99.56, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:57 Iteration 00067600, loss   0.0085, accuracy 99.67, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:57 Iteration 00067700, loss   0.0106, accuracy 99.65, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:58 Iteration 00067800, loss   0.0103, accuracy 99.64, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:59 Iteration 00067900, loss   0.0061, accuracy 99.87, exact match 98.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:59 Iteration 00068000, loss   0.0083, accuracy 99.67, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 13:59 Evaluating..
2020-01-29 14:01 Predicted for 2001 examples.
2020-01-29 14:01 Done predicting in 95.74049353599548 seconds.
2020-01-29 14:01   Evaluation Accuracy: 99.16 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 14:01 Iteration 00068100, loss   0.0093, accuracy 99.59, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:02 Iteration 00068200, loss   0.0125, accuracy 99.61, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:03 Iteration 00068300, loss   0.0109, accuracy 99.65, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:03 Iteration 00068400, loss   0.0065, accuracy 99.82, exact match 97.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:04 Iteration 00068500, loss   0.0143, accuracy 99.50, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:05 Iteration 00068600, loss   0.0192, accuracy 99.64, exact match 97.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:05 Iteration 00068700, loss   0.0074, accuracy 99.67, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:06 Iteration 00068800, loss   0.0109, accuracy 99.58, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:07 Iteration 00068900, loss   0.0125, accuracy 99.47, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:07 Iteration 00069000, loss   0.0071, accuracy 99.69, exact match 96.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-01-29 14:07 Evaluating..
2020-01-29 14:09 Predicted for 2001 examples.
2020-01-29 14:09 Done predicting in 95.59848761558533 seconds.
2020-01-29 14:09   Evaluation Accuracy: 99.02 Exact Match: 96.55  Target Accuracy:  0.00
2020-01-29 14:09 Iteration 00069100, loss   0.0080, accuracy 99.65, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:10 Iteration 00069200, loss   0.0083, accuracy 99.76, exact match 96.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:11 Iteration 00069300, loss   0.0113, accuracy 99.63, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:11 Iteration 00069400, loss   0.0151, accuracy 99.35, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:12 Iteration 00069500, loss   0.0094, accuracy 99.58, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:13 Iteration 00069600, loss   0.0166, accuracy 99.46, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:13 Iteration 00069700, loss   0.0091, accuracy 99.70, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:14 Iteration 00069800, loss   0.0120, accuracy 99.61, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:15 Iteration 00069900, loss   0.0081, accuracy 99.67, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:15 Iteration 00070000, loss   0.0120, accuracy 99.49, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:15 Evaluating..
2020-01-29 14:17 Predicted for 2001 examples.
2020-01-29 14:17 Done predicting in 98.58668088912964 seconds.
2020-01-29 14:17   Evaluation Accuracy: 99.01 Exact Match: 96.50  Target Accuracy:  0.00
2020-01-29 14:18 Iteration 00070100, loss   0.0114, accuracy 99.64, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:18 Iteration 00070200, loss   0.0074, accuracy 99.70, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:19 Iteration 00070300, loss   0.0106, accuracy 99.64, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:20 Iteration 00070400, loss   0.0094, accuracy 99.52, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:20 Iteration 00070500, loss   0.0262, accuracy 99.01, exact match 87.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:21 Iteration 00070600, loss   0.0133, accuracy 99.54, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:21 Iteration 00070700, loss   0.0083, accuracy 99.67, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:22 Iteration 00070800, loss   0.0097, accuracy 99.73, exact match 96.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:23 Iteration 00070900, loss   0.0088, accuracy 99.73, exact match 97.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:23 Iteration 00071000, loss   0.0047, accuracy 99.84, exact match 97.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:23 Evaluating..
2020-01-29 14:25 Predicted for 2001 examples.
2020-01-29 14:25 Done predicting in 95.98263239860535 seconds.
2020-01-29 14:25   Evaluation Accuracy: 99.10 Exact Match: 97.05  Target Accuracy:  0.00
2020-01-29 14:26 Iteration 00071100, loss   0.0088, accuracy 99.67, exact match 95.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:26 Iteration 00071200, loss   0.0145, accuracy 99.55, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:27 Iteration 00071300, loss   0.0077, accuracy 99.69, exact match 95.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:28 Iteration 00071400, loss   0.0093, accuracy 99.64, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:28 Iteration 00071500, loss   0.0061, accuracy 99.74, exact match 97.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:29 Iteration 00071600, loss   0.0102, accuracy 99.51, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:29 Iteration 00071700, loss   0.0077, accuracy 99.75, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:30 Iteration 00071800, loss   0.0062, accuracy 99.74, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-01-29 14:31 Iteration 00071900, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:31 Iteration 00072000, loss   0.0149, accuracy 99.44, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:31 Evaluating..
2020-01-29 14:33 Predicted for 2001 examples.
2020-01-29 14:33 Done predicting in 95.51127862930298 seconds.
2020-01-29 14:33   Evaluation Accuracy: 99.27 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 14:34 Iteration 00072100, loss   0.0126, accuracy 99.57, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:34 Iteration 00072200, loss   0.0078, accuracy 99.62, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:35 Iteration 00072300, loss   0.0107, accuracy 99.57, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:36 Iteration 00072400, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:36 Iteration 00072500, loss   0.0120, accuracy 99.57, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:37 Iteration 00072600, loss   0.0082, accuracy 99.83, exact match 97.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:38 Iteration 00072700, loss   0.0088, accuracy 99.74, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:38 Iteration 00072800, loss   0.0142, accuracy 99.61, exact match 95.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:39 Iteration 00072900, loss   0.0059, accuracy 99.76, exact match 97.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:39 Iteration 00073000, loss   0.0080, accuracy 99.78, exact match 97.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:39 Evaluating..
2020-01-29 14:41 Predicted for 2001 examples.
2020-01-29 14:41 Done predicting in 95.77306079864502 seconds.
2020-01-29 14:41   Evaluation Accuracy: 99.34 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 14:42 Iteration 00073100, loss   0.0069, accuracy 99.75, exact match 97.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:42 Iteration 00073200, loss   0.0085, accuracy 99.56, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:43 Iteration 00073300, loss   0.0123, accuracy 99.57, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:44 Iteration 00073400, loss   0.0085, accuracy 99.65, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:44 Iteration 00073500, loss   0.0070, accuracy 99.77, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:45 Iteration 00073600, loss   0.0082, accuracy 99.57, exact match 93.01, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:46 Iteration 00073700, loss   0.0067, accuracy 99.79, exact match 97.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:46 Iteration 00073800, loss   0.0088, accuracy 99.67, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:47 Iteration 00073900, loss   0.0117, accuracy 99.58, exact match 95.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:48 Iteration 00074000, loss   0.0108, accuracy 99.75, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:48 Evaluating..
2020-01-29 14:49 Predicted for 2001 examples.
2020-01-29 14:49 Done predicting in 95.66209411621094 seconds.
2020-01-29 14:49   Evaluation Accuracy: 99.18 Exact Match: 97.20  Target Accuracy:  0.00
2020-01-29 14:50 Iteration 00074100, loss   0.0062, accuracy 99.75, exact match 96.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:50 Iteration 00074200, loss   0.0114, accuracy 99.61, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:51 Iteration 00074300, loss   0.0094, accuracy 99.68, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:52 Iteration 00074400, loss   0.0075, accuracy 99.64, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:52 Iteration 00074500, loss   0.0077, accuracy 99.72, exact match 96.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:53 Iteration 00074600, loss   0.0066, accuracy 99.82, exact match 97.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-01-29 14:54 Iteration 00074700, loss   0.0144, accuracy 99.38, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:54 Iteration 00074800, loss   0.0076, accuracy 99.66, exact match 95.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:55 Iteration 00074900, loss   0.0103, accuracy 99.66, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:56 Iteration 00075000, loss   0.0129, accuracy 99.50, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:56 Evaluating..
2020-01-29 14:57 Predicted for 2001 examples.
2020-01-29 14:57 Done predicting in 101.71601605415344 seconds.
2020-01-29 14:57   Evaluation Accuracy: 99.19 Exact Match: 97.30  Target Accuracy:  0.00
2020-01-29 14:58 Iteration 00075100, loss   0.0129, accuracy 99.42, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:59 Iteration 00075200, loss   0.0112, accuracy 99.69, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 14:59 Iteration 00075300, loss   0.0118, accuracy 99.54, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:00 Iteration 00075400, loss   0.0093, accuracy 99.70, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:01 Iteration 00075500, loss   0.0122, accuracy 99.61, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:01 Iteration 00075600, loss   0.0050, accuracy 99.83, exact match 97.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:02 Iteration 00075700, loss   0.0107, accuracy 99.63, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:03 Iteration 00075800, loss   0.0040, accuracy 99.90, exact match 98.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:03 Iteration 00075900, loss   0.0086, accuracy 99.78, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:04 Iteration 00076000, loss   0.0070, accuracy 99.74, exact match 96.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:04 Evaluating..
2020-01-29 15:05 Predicted for 2001 examples.
2020-01-29 15:05 Done predicting in 95.90774774551392 seconds.
2020-01-29 15:05   Evaluation Accuracy: 99.24 Exact Match: 97.45  Target Accuracy:  0.00
2020-01-29 15:06 Iteration 00076100, loss   0.0100, accuracy 99.61, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:07 Iteration 00076200, loss   0.0063, accuracy 99.89, exact match 98.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:07 Iteration 00076300, loss   0.0123, accuracy 99.62, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:08 Iteration 00076400, loss   0.0120, accuracy 99.47, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:09 Iteration 00076500, loss   0.0081, accuracy 99.81, exact match 97.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:09 Iteration 00076600, loss   0.0146, accuracy 99.47, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:10 Iteration 00076700, loss   0.0113, accuracy 99.70, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:11 Iteration 00076800, loss   0.0083, accuracy 99.82, exact match 97.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:11 Iteration 00076900, loss   0.0075, accuracy 99.73, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:12 Iteration 00077000, loss   0.0101, accuracy 99.64, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:12 Evaluating..
2020-01-29 15:13 Predicted for 2001 examples.
2020-01-29 15:13 Done predicting in 95.75141406059265 seconds.
2020-01-29 15:13   Evaluation Accuracy: 99.17 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 15:14 Iteration 00077100, loss   0.0090, accuracy 99.55, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:15 Iteration 00077200, loss   0.0095, accuracy 99.62, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:15 Iteration 00077300, loss   0.0051, accuracy 99.83, exact match 98.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:16 Iteration 00077400, loss   0.0067, accuracy 99.72, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-01-29 15:17 Iteration 00077500, loss   0.0084, accuracy 99.66, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:17 Iteration 00077600, loss   0.0115, accuracy 99.73, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:18 Iteration 00077700, loss   0.0047, accuracy 99.83, exact match 97.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:19 Iteration 00077800, loss   0.0146, accuracy 99.51, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:19 Iteration 00077900, loss   0.0077, accuracy 99.77, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:20 Iteration 00078000, loss   0.0151, accuracy 99.47, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:20 Evaluating..
2020-01-29 15:22 Predicted for 2001 examples.
2020-01-29 15:22 Done predicting in 95.695716381073 seconds.
2020-01-29 15:22   Evaluation Accuracy: 99.22 Exact Match: 96.85  Target Accuracy:  0.00
2020-01-29 15:22 Iteration 00078100, loss   0.0063, accuracy 99.73, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:23 Iteration 00078200, loss   0.0076, accuracy 99.73, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:23 Iteration 00078300, loss   0.0100, accuracy 99.40, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:24 Iteration 00078400, loss   0.0082, accuracy 99.64, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:25 Iteration 00078500, loss   0.0076, accuracy 99.76, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:25 Iteration 00078600, loss   0.0068, accuracy 99.85, exact match 98.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:26 Iteration 00078700, loss   0.0165, accuracy 99.44, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:27 Iteration 00078800, loss   0.0136, accuracy 99.51, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:27 Iteration 00078900, loss   0.0192, accuracy 99.47, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:28 Iteration 00079000, loss   0.0044, accuracy 99.89, exact match 98.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:28 Evaluating..
2020-01-29 15:30 Predicted for 2001 examples.
2020-01-29 15:30 Done predicting in 95.68191576004028 seconds.
2020-01-29 15:30   Evaluation Accuracy: 99.22 Exact Match: 97.10  Target Accuracy:  0.00
2020-01-29 15:30 Iteration 00079100, loss   0.0091, accuracy 99.67, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:31 Iteration 00079200, loss   0.0123, accuracy 99.41, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:31 Iteration 00079300, loss   0.0089, accuracy 99.63, exact match 96.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:32 Iteration 00079400, loss   0.0116, accuracy 99.55, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:33 Iteration 00079500, loss   0.0073, accuracy 99.69, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:33 Iteration 00079600, loss   0.0191, accuracy 99.49, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:34 Iteration 00079700, loss   0.0114, accuracy 99.49, exact match 93.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:35 Iteration 00079800, loss   0.0223, accuracy 99.39, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:35 Iteration 00079900, loss   0.0053, accuracy 99.82, exact match 97.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:36 Iteration 00080000, loss   0.0156, accuracy 99.72, exact match 96.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:36 Evaluating..
2020-01-29 15:38 Predicted for 2001 examples.
2020-01-29 15:38 Done predicting in 95.82180094718933 seconds.
2020-01-29 15:38   Evaluation Accuracy: 99.10 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 15:38 Iteration 00080100, loss   0.0086, accuracy 99.75, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:39 Iteration 00080200, loss   0.0126, accuracy 99.41, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:40 Iteration 00080300, loss   0.0066, accuracy 99.79, exact match 97.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-01-29 15:40 Iteration 00080400, loss   0.0103, accuracy 99.65, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:41 Iteration 00080500, loss   0.0059, accuracy 99.87, exact match 98.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:41 Iteration 00080600, loss   0.0076, accuracy 99.81, exact match 97.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:42 Iteration 00080700, loss   0.0079, accuracy 99.74, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:43 Iteration 00080800, loss   0.0080, accuracy 99.68, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:43 Iteration 00080900, loss   0.0075, accuracy 99.79, exact match 97.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:44 Iteration 00081000, loss   0.0125, accuracy 99.43, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:44 Evaluating..
2020-01-29 15:46 Predicted for 2001 examples.
2020-01-29 15:46 Done predicting in 95.63187742233276 seconds.
2020-01-29 15:46   Evaluation Accuracy: 99.32 Exact Match: 97.45  Target Accuracy:  0.00
2020-01-29 15:46 Iteration 00081100, loss   0.0091, accuracy 99.59, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:47 Iteration 00081200, loss   0.0068, accuracy 99.77, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:48 Iteration 00081300, loss   0.0052, accuracy 99.76, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:48 Iteration 00081400, loss   0.0126, accuracy 99.50, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:49 Iteration 00081500, loss   0.0084, accuracy 99.74, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:49 Iteration 00081600, loss   0.0079, accuracy 99.68, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:50 Iteration 00081700, loss   0.0068, accuracy 99.86, exact match 98.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:51 Iteration 00081800, loss   0.0090, accuracy 99.62, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:51 Iteration 00081900, loss   0.0091, accuracy 99.66, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:52 Iteration 00082000, loss   0.0145, accuracy 99.67, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:52 Evaluating..
2020-01-29 15:54 Predicted for 2001 examples.
2020-01-29 15:54 Done predicting in 95.54787802696228 seconds.
2020-01-29 15:54   Evaluation Accuracy: 99.16 Exact Match: 96.85  Target Accuracy:  0.00
2020-01-29 15:54 Iteration 00082100, loss   0.0064, accuracy 99.78, exact match 97.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:55 Iteration 00082200, loss   0.0088, accuracy 99.61, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:56 Iteration 00082300, loss   0.0052, accuracy 99.80, exact match 97.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:56 Iteration 00082400, loss   0.0078, accuracy 99.61, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:57 Iteration 00082500, loss   0.0072, accuracy 99.77, exact match 96.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:58 Iteration 00082600, loss   0.0105, accuracy 99.42, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:58 Iteration 00082700, loss   0.0096, accuracy 99.64, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:59 Iteration 00082800, loss   0.0058, accuracy 99.81, exact match 97.20, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 15:59 Iteration 00082900, loss   0.0078, accuracy 99.60, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 16:00 Iteration 00083000, loss   0.0078, accuracy 99.59, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 16:00 Evaluating..
2020-01-29 16:02 Predicted for 2001 examples.
2020-01-29 16:02 Done predicting in 95.78926491737366 seconds.
2020-01-29 16:02   Evaluation Accuracy: 99.18 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 16:02 Iteration 00083100, loss   0.0060, accuracy 99.79, exact match 97.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 16:03 Iteration 00083200, loss   0.0078, accuracy 99.69, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-01-29 16:04 Iteration 00083300, loss   0.0150, accuracy 99.47, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:04 Iteration 00083400, loss   0.0083, accuracy 99.74, exact match 96.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:05 Iteration 00083500, loss   0.0085, accuracy 99.82, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:06 Iteration 00083600, loss   0.0100, accuracy 99.62, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:06 Iteration 00083700, loss   0.0077, accuracy 99.67, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:07 Iteration 00083800, loss   0.0069, accuracy 99.79, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:08 Iteration 00083900, loss   0.0057, accuracy 99.81, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:08 Iteration 00084000, loss   0.0121, accuracy 99.47, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:08 Evaluating..
2020-01-29 16:10 Predicted for 2001 examples.
2020-01-29 16:10 Done predicting in 96.07728910446167 seconds.
2020-01-29 16:10   Evaluation Accuracy: 99.15 Exact Match: 97.25  Target Accuracy:  0.00
2020-01-29 16:10 Iteration 00084100, loss   0.0048, accuracy 99.81, exact match 97.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:11 Iteration 00084200, loss   0.0091, accuracy 99.70, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:12 Iteration 00084300, loss   0.0082, accuracy 99.65, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:12 Iteration 00084400, loss   0.0131, accuracy 99.66, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:13 Iteration 00084500, loss   0.0102, accuracy 99.68, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:14 Iteration 00084600, loss   0.0071, accuracy 99.66, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:14 Iteration 00084700, loss   0.0068, accuracy 99.71, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:15 Iteration 00084800, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:16 Iteration 00084900, loss   0.0111, accuracy 99.83, exact match 99.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:16 Iteration 00085000, loss   0.0055, accuracy 99.74, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:16 Evaluating..
2020-01-29 16:18 Predicted for 2001 examples.
2020-01-29 16:18 Done predicting in 97.17189145088196 seconds.
2020-01-29 16:18   Evaluation Accuracy: 99.22 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 16:19 Iteration 00085100, loss   0.0054, accuracy 99.89, exact match 99.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:19 Iteration 00085200, loss   0.0091, accuracy 99.65, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:20 Iteration 00085300, loss   0.0108, accuracy 99.49, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:21 Iteration 00085400, loss   0.0131, accuracy 99.58, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:21 Iteration 00085500, loss   0.0081, accuracy 99.69, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:22 Iteration 00085600, loss   0.0076, accuracy 99.66, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:22 Iteration 00085700, loss   0.0062, accuracy 99.79, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:23 Iteration 00085800, loss   0.0053, accuracy 99.81, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:24 Iteration 00085900, loss   0.0086, accuracy 99.65, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:24 Iteration 00086000, loss   0.0136, accuracy 99.47, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:24 Evaluating..
2020-01-29 16:26 Predicted for 2001 examples.
2020-01-29 16:26 Done predicting in 97.53570628166199 seconds.
2020-01-29 16:26   Evaluation Accuracy: 99.34 Exact Match: 97.55  Target Accuracy:  0.00
2020-01-29 16:27 Iteration 00086100, loss   0.0096, accuracy 99.56, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:27 Iteration 00086200, loss   0.0058, accuracy 99.80, exact match 97.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-01-29 16:28 Iteration 00086300, loss   0.0069, accuracy 99.70, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:29 Iteration 00086400, loss   0.0074, accuracy 99.70, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:29 Iteration 00086500, loss   0.0076, accuracy 99.66, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:30 Iteration 00086600, loss   0.0114, accuracy 99.59, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:31 Iteration 00086700, loss   0.0087, accuracy 99.78, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:31 Iteration 00086800, loss   0.0077, accuracy 99.73, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:32 Iteration 00086900, loss   0.0077, accuracy 99.76, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:33 Iteration 00087000, loss   0.0088, accuracy 99.64, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:33 Evaluating..
2020-01-29 16:34 Predicted for 2001 examples.
2020-01-29 16:34 Done predicting in 95.79592633247375 seconds.
2020-01-29 16:34   Evaluation Accuracy: 99.50 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 16:35 Iteration 00087100, loss   0.0079, accuracy 99.70, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:35 Iteration 00087200, loss   0.0079, accuracy 99.83, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:36 Iteration 00087300, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:37 Iteration 00087400, loss   0.0066, accuracy 99.76, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:37 Iteration 00087500, loss   0.0069, accuracy 99.75, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:38 Iteration 00087600, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:39 Iteration 00087700, loss   0.0079, accuracy 99.80, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:39 Iteration 00087800, loss   0.0063, accuracy 99.68, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:40 Iteration 00087900, loss   0.0067, accuracy 99.67, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:41 Iteration 00088000, loss   0.0092, accuracy 99.56, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:41 Evaluating..
2020-01-29 16:42 Predicted for 2001 examples.
2020-01-29 16:42 Done predicting in 95.75449347496033 seconds.
2020-01-29 16:42   Evaluation Accuracy: 99.17 Exact Match: 97.15  Target Accuracy:  0.00
2020-01-29 16:43 Iteration 00088100, loss   0.0047, accuracy 99.81, exact match 97.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:44 Iteration 00088200, loss   0.0140, accuracy 99.55, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:44 Iteration 00088300, loss   0.0080, accuracy 99.78, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:45 Iteration 00088400, loss   0.0089, accuracy 99.70, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:45 Iteration 00088500, loss   0.0050, accuracy 99.84, exact match 98.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:46 Iteration 00088600, loss   0.0126, accuracy 99.58, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:47 Iteration 00088700, loss   0.0081, accuracy 99.79, exact match 97.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:47 Iteration 00088800, loss   0.0037, accuracy 99.86, exact match 98.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:48 Iteration 00088900, loss   0.0105, accuracy 99.67, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:49 Iteration 00089000, loss   0.0189, accuracy 99.48, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:49 Evaluating..
2020-01-29 16:50 Predicted for 2001 examples.
2020-01-29 16:50 Done predicting in 95.75401425361633 seconds.
2020-01-29 16:50   Evaluation Accuracy: 98.98 Exact Match: 96.15  Target Accuracy:  0.00
2020-01-29 16:51 Iteration 00089100, loss   0.0077, accuracy 99.68, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:52 Iteration 00089200, loss   0.0069, accuracy 99.71, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-01-29 16:52 Iteration 00089300, loss   0.0095, accuracy 99.58, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:53 Iteration 00089400, loss   0.0058, accuracy 99.80, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:54 Iteration 00089500, loss   0.0053, accuracy 99.79, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:54 Iteration 00089600, loss   0.0052, accuracy 99.79, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:55 Iteration 00089700, loss   0.0041, accuracy 99.85, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:55 Iteration 00089800, loss   0.0063, accuracy 99.82, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:56 Iteration 00089900, loss   0.0078, accuracy 99.68, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:57 Iteration 00090000, loss   0.0049, accuracy 99.75, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 16:57 Evaluating..
2020-01-29 16:58 Predicted for 2001 examples.
2020-01-29 16:58 Done predicting in 95.59276127815247 seconds.
2020-01-29 16:58   Evaluation Accuracy: 99.32 Exact Match: 97.40  Target Accuracy:  0.00
2020-01-29 16:59 Iteration 00090100, loss   0.0092, accuracy 99.68, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:00 Iteration 00090200, loss   0.0097, accuracy 99.78, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:00 Iteration 00090300, loss   0.0059, accuracy 99.81, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:01 Iteration 00090400, loss   0.0104, accuracy 99.61, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:02 Iteration 00090500, loss   0.0095, accuracy 99.71, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:02 Iteration 00090600, loss   0.0108, accuracy 99.66, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:03 Iteration 00090700, loss   0.0075, accuracy 99.67, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:04 Iteration 00090800, loss   0.0068, accuracy 99.72, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:04 Iteration 00090900, loss   0.0106, accuracy 99.59, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:05 Iteration 00091000, loss   0.0066, accuracy 99.72, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:05 Evaluating..
2020-01-29 17:06 Predicted for 2001 examples.
2020-01-29 17:06 Done predicting in 95.62369894981384 seconds.
2020-01-29 17:06   Evaluation Accuracy: 99.33 Exact Match: 97.50  Target Accuracy:  0.00
2020-01-29 17:07 Iteration 00091100, loss   0.0151, accuracy 99.66, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:08 Iteration 00091200, loss   0.0096, accuracy 99.75, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:08 Iteration 00091300, loss   0.0079, accuracy 99.74, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:09 Iteration 00091400, loss   0.0065, accuracy 99.83, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:10 Iteration 00091500, loss   0.0089, accuracy 99.62, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:10 Iteration 00091600, loss   0.0104, accuracy 99.78, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:11 Iteration 00091700, loss   0.0071, accuracy 99.76, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:12 Iteration 00091800, loss   0.0068, accuracy 99.76, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:12 Iteration 00091900, loss   0.0048, accuracy 99.85, exact match 98.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:13 Iteration 00092000, loss   0.0097, accuracy 99.73, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:13 Evaluating..
2020-01-29 17:15 Predicted for 2001 examples.
2020-01-29 17:15 Done predicting in 96.13825154304504 seconds.
2020-01-29 17:15   Evaluation Accuracy: 99.44 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 17:15 Iteration 00092100, loss   0.0071, accuracy 99.74, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:16 Iteration 00092200, loss   0.0090, accuracy 99.68, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-01-29 17:16 Iteration 00092300, loss   0.0095, accuracy 99.57, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:17 Iteration 00092400, loss   0.0118, accuracy 99.65, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:18 Iteration 00092500, loss   0.0042, accuracy 99.86, exact match 98.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:18 Iteration 00092600, loss   0.0067, accuracy 99.68, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:19 Iteration 00092700, loss   0.0084, accuracy 99.67, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:20 Iteration 00092800, loss   0.0096, accuracy 99.64, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:20 Iteration 00092900, loss   0.0078, accuracy 99.75, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:21 Iteration 00093000, loss   0.0074, accuracy 99.67, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:21 Evaluating..
2020-01-29 17:23 Predicted for 2001 examples.
2020-01-29 17:23 Done predicting in 95.61771297454834 seconds.
2020-01-29 17:23   Evaluation Accuracy: 99.35 Exact Match: 97.25  Target Accuracy:  0.00
2020-01-29 17:23 Iteration 00093100, loss   0.0043, accuracy 99.80, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:24 Iteration 00093200, loss   0.0105, accuracy 99.65, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:25 Iteration 00093300, loss   0.0049, accuracy 99.76, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:25 Iteration 00093400, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:26 Iteration 00093500, loss   0.0129, accuracy 99.58, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:27 Iteration 00093600, loss   0.0048, accuracy 99.82, exact match 98.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:27 Iteration 00093700, loss   0.0078, accuracy 99.86, exact match 98.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:28 Iteration 00093800, loss   0.0066, accuracy 99.70, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:28 Iteration 00093900, loss   0.0075, accuracy 99.80, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:29 Iteration 00094000, loss   0.0065, accuracy 99.73, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:29 Evaluating..
2020-01-29 17:31 Predicted for 2001 examples.
2020-01-29 17:31 Done predicting in 95.63692545890808 seconds.
2020-01-29 17:31   Evaluation Accuracy: 99.24 Exact Match: 96.95  Target Accuracy:  0.00
2020-01-29 17:31 Iteration 00094100, loss   0.0066, accuracy 99.73, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:32 Iteration 00094200, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:33 Iteration 00094300, loss   0.0140, accuracy 99.57, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:33 Iteration 00094400, loss   0.0059, accuracy 99.83, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:34 Iteration 00094500, loss   0.0088, accuracy 99.65, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:35 Iteration 00094600, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:35 Iteration 00094700, loss   0.0047, accuracy 99.76, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:36 Iteration 00094800, loss   0.0055, accuracy 99.84, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:37 Iteration 00094900, loss   0.0055, accuracy 99.79, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:37 Iteration 00095000, loss   0.0139, accuracy 99.48, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:37 Evaluating..
2020-01-29 17:39 Predicted for 2001 examples.
2020-01-29 17:39 Done predicting in 96.14267206192017 seconds.
2020-01-29 17:39   Evaluation Accuracy: 99.02 Exact Match: 96.90  Target Accuracy:  0.00
2020-01-29 17:39 Iteration 00095100, loss   0.0061, accuracy 99.83, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:40 Iteration 00095200, loss   0.0047, accuracy 99.83, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:41 Iteration 00095300, loss   0.0073, accuracy 99.67, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-01-29 17:41 Iteration 00095400, loss   0.0098, accuracy 99.63, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:42 Iteration 00095500, loss   0.0101, accuracy 99.52, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:43 Iteration 00095600, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:43 Iteration 00095700, loss   0.0108, accuracy 99.63, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:44 Iteration 00095800, loss   0.0074, accuracy 99.72, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:45 Iteration 00095900, loss   0.0089, accuracy 99.67, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:45 Iteration 00096000, loss   0.0094, accuracy 99.66, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:45 Evaluating..
2020-01-29 17:47 Predicted for 2001 examples.
2020-01-29 17:47 Done predicting in 95.77290177345276 seconds.
2020-01-29 17:47   Evaluation Accuracy: 98.97 Exact Match: 96.65  Target Accuracy:  0.00
2020-01-29 17:47 Iteration 00096100, loss   0.0061, accuracy 99.82, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:48 Iteration 00096200, loss   0.0069, accuracy 99.79, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:49 Iteration 00096300, loss   0.0057, accuracy 99.79, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:49 Iteration 00096400, loss   0.0100, accuracy 99.78, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:50 Iteration 00096500, loss   0.0098, accuracy 99.63, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:51 Iteration 00096600, loss   0.0051, accuracy 99.87, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:51 Iteration 00096700, loss   0.0129, accuracy 99.51, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:52 Iteration 00096800, loss   0.0081, accuracy 99.81, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:53 Iteration 00096900, loss   0.0061, accuracy 99.82, exact match 98.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:53 Iteration 00097000, loss   0.0117, accuracy 99.71, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:53 Evaluating..
2020-01-29 17:55 Predicted for 2001 examples.
2020-01-29 17:55 Done predicting in 95.26284098625183 seconds.
2020-01-29 17:55   Evaluation Accuracy: 99.13 Exact Match: 97.15  Target Accuracy:  0.00
2020-01-29 17:55 Iteration 00097100, loss   0.0034, accuracy 99.93, exact match 99.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:56 Iteration 00097200, loss   0.0106, accuracy 99.55, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:57 Iteration 00097300, loss   0.0070, accuracy 99.66, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:57 Iteration 00097400, loss   0.0087, accuracy 99.60, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:58 Iteration 00097500, loss   0.0076, accuracy 99.70, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:59 Iteration 00097600, loss   0.0105, accuracy 99.66, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 17:59 Iteration 00097700, loss   0.0096, accuracy 99.67, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:00 Iteration 00097800, loss   0.0041, accuracy 99.79, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:01 Iteration 00097900, loss   0.0093, accuracy 99.70, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:01 Iteration 00098000, loss   0.0080, accuracy 99.75, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:01 Evaluating..
2020-01-29 18:03 Predicted for 2001 examples.
2020-01-29 18:03 Done predicting in 95.67206978797913 seconds.
2020-01-29 18:03   Evaluation Accuracy: 99.34 Exact Match: 98.05  Target Accuracy:  0.00
2020-01-29 18:04 Iteration 00098100, loss   0.0075, accuracy 99.70, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:04 Iteration 00098200, loss   0.0136, accuracy 99.57, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:05 Iteration 00098300, loss   0.0111, accuracy 99.65, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:05 Iteration 00098400, loss   0.0058, accuracy 99.78, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:06 Iteration 00098500, loss   0.0062, accuracy 99.84, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-01-29 18:07 Iteration 00098600, loss   0.0090, accuracy 99.55, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:07 Iteration 00098700, loss   0.0087, accuracy 99.67, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:08 Iteration 00098800, loss   0.0081, accuracy 99.77, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:09 Iteration 00098900, loss   0.0076, accuracy 99.77, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:09 Iteration 00099000, loss   0.0098, accuracy 99.77, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:09 Evaluating..
2020-01-29 18:11 Predicted for 2001 examples.
2020-01-29 18:11 Done predicting in 95.39746713638306 seconds.
2020-01-29 18:11   Evaluation Accuracy: 99.36 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 18:12 Iteration 00099100, loss   0.0029, accuracy 99.90, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:12 Iteration 00099200, loss   0.0056, accuracy 99.86, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:13 Iteration 00099300, loss   0.0131, accuracy 99.58, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:13 Iteration 00099400, loss   0.0214, accuracy 99.59, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:14 Iteration 00099500, loss   0.0089, accuracy 99.71, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:15 Iteration 00099600, loss   0.0089, accuracy 99.68, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:15 Iteration 00099700, loss   0.0044, accuracy 99.82, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:16 Iteration 00099800, loss   0.0088, accuracy 99.62, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:17 Iteration 00099900, loss   0.0045, accuracy 99.78, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:17 Iteration 00100000, loss   0.0055, accuracy 99.72, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:17 Evaluating..
2020-01-29 18:19 Predicted for 2001 examples.
2020-01-29 18:19 Done predicting in 95.40153574943542 seconds.
2020-01-29 18:19   Evaluation Accuracy: 99.28 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 18:20 Iteration 00100100, loss   0.0069, accuracy 99.76, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:20 Iteration 00100200, loss   0.0099, accuracy 99.69, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:21 Iteration 00100300, loss   0.0075, accuracy 99.69, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:21 Iteration 00100400, loss   0.0085, accuracy 99.66, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:22 Iteration 00100500, loss   0.0057, accuracy 99.78, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:23 Iteration 00100600, loss   0.0070, accuracy 99.72, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:23 Iteration 00100700, loss   0.0100, accuracy 99.87, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:24 Iteration 00100800, loss   0.0050, accuracy 99.87, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:25 Iteration 00100900, loss   0.0089, accuracy 99.75, exact match 97.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:25 Iteration 00101000, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:25 Evaluating..
2020-01-29 18:27 Predicted for 2001 examples.
2020-01-29 18:27 Done predicting in 95.48036503791809 seconds.
2020-01-29 18:27   Evaluation Accuracy: 99.39 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 18:28 Iteration 00101100, loss   0.0030, accuracy 99.90, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:28 Iteration 00101200, loss   0.0062, accuracy 99.90, exact match 98.60, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:29 Iteration 00101300, loss   0.0120, accuracy 99.64, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:30 Iteration 00101400, loss   0.0120, accuracy 99.63, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:30 Iteration 00101500, loss   0.0046, accuracy 99.90, exact match 98.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:31 Iteration 00101600, loss   0.0033, accuracy 99.87, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:32 Iteration 00101700, loss   0.0091, accuracy 99.63, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-01-29 18:32 Iteration 00101800, loss   0.0067, accuracy 99.74, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:33 Iteration 00101900, loss   0.0119, accuracy 99.49, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:33 Iteration 00102000, loss   0.0031, accuracy 99.92, exact match 99.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:33 Evaluating..
2020-01-29 18:35 Predicted for 2001 examples.
2020-01-29 18:35 Done predicting in 95.47787618637085 seconds.
2020-01-29 18:35   Evaluation Accuracy: 99.23 Exact Match: 97.25  Target Accuracy:  0.00
2020-01-29 18:36 Iteration 00102100, loss   0.0066, accuracy 99.73, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:36 Iteration 00102200, loss   0.0126, accuracy 99.39, exact match 91.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:37 Iteration 00102300, loss   0.0065, accuracy 99.76, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:38 Iteration 00102400, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:38 Iteration 00102500, loss   0.0081, accuracy 99.74, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:39 Iteration 00102600, loss   0.0045, accuracy 99.75, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:40 Iteration 00102700, loss   0.0060, accuracy 99.70, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:40 Iteration 00102800, loss   0.0080, accuracy 99.68, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:41 Iteration 00102900, loss   0.0070, accuracy 99.72, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:42 Iteration 00103000, loss   0.0038, accuracy 99.82, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:42 Evaluating..
2020-01-29 18:43 Predicted for 2001 examples.
2020-01-29 18:43 Done predicting in 95.4894917011261 seconds.
2020-01-29 18:43   Evaluation Accuracy: 99.43 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 18:44 Iteration 00103100, loss   0.0048, accuracy 99.75, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:44 Iteration 00103200, loss   0.0029, accuracy 99.96, exact match 99.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:45 Iteration 00103300, loss   0.0062, accuracy 99.78, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:46 Iteration 00103400, loss   0.0072, accuracy 99.89, exact match 98.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:46 Iteration 00103500, loss   0.0070, accuracy 99.74, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:47 Iteration 00103600, loss   0.0104, accuracy 99.58, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:48 Iteration 00103700, loss   0.0065, accuracy 99.82, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:48 Iteration 00103800, loss   0.0108, accuracy 99.68, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:49 Iteration 00103900, loss   0.0059, accuracy 99.86, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:50 Iteration 00104000, loss   0.0060, accuracy 99.78, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:50 Evaluating..
2020-01-29 18:51 Predicted for 2001 examples.
2020-01-29 18:51 Done predicting in 95.52911949157715 seconds.
2020-01-29 18:51   Evaluation Accuracy: 99.49 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 18:52 Iteration 00104100, loss   0.0075, accuracy 99.76, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:52 Iteration 00104200, loss   0.0060, accuracy 99.81, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:53 Iteration 00104300, loss   0.0114, accuracy 99.48, exact match 93.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:54 Iteration 00104400, loss   0.0131, accuracy 99.63, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:54 Iteration 00104500, loss   0.0054, accuracy 99.82, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:55 Iteration 00104600, loss   0.0124, accuracy 99.54, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:56 Iteration 00104700, loss   0.0073, accuracy 99.75, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:56 Iteration 00104800, loss   0.0076, accuracy 99.73, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:57 Iteration 00104900, loss   0.0077, accuracy 99.72, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:58 Iteration 00105000, loss   0.0062, accuracy 99.69, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-01-29 18:58 Evaluating..
2020-01-29 18:59 Predicted for 2001 examples.
2020-01-29 18:59 Done predicting in 101.29544115066528 seconds.
2020-01-29 18:59   Evaluation Accuracy: 99.32 Exact Match: 97.60  Target Accuracy:  0.00
2020-01-29 19:00 Iteration 00105100, loss   0.0067, accuracy 99.81, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:01 Iteration 00105200, loss   0.0029, accuracy 99.87, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:01 Iteration 00105300, loss   0.0050, accuracy 99.83, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:02 Iteration 00105400, loss   0.0106, accuracy 99.71, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:03 Iteration 00105500, loss   0.0070, accuracy 99.82, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:03 Iteration 00105600, loss   0.0085, accuracy 99.63, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:04 Iteration 00105700, loss   0.0080, accuracy 99.68, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:05 Iteration 00105800, loss   0.0055, accuracy 99.81, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:05 Iteration 00105900, loss   0.0088, accuracy 99.64, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:06 Iteration 00106000, loss   0.0044, accuracy 99.80, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:06 Evaluating..
2020-01-29 19:07 Predicted for 2001 examples.
2020-01-29 19:07 Done predicting in 95.53150629997253 seconds.
2020-01-29 19:07   Evaluation Accuracy: 99.42 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 19:08 Iteration 00106100, loss   0.0117, accuracy 99.71, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:09 Iteration 00106200, loss   0.0099, accuracy 99.60, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:09 Iteration 00106300, loss   0.0059, accuracy 99.71, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:10 Iteration 00106400, loss   0.0078, accuracy 99.80, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:11 Iteration 00106500, loss   0.0071, accuracy 99.83, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:11 Iteration 00106600, loss   0.0070, accuracy 99.80, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:12 Iteration 00106700, loss   0.0059, accuracy 99.76, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:13 Iteration 00106800, loss   0.0046, accuracy 99.75, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:13 Iteration 00106900, loss   0.0044, accuracy 99.82, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:14 Iteration 00107000, loss   0.0107, accuracy 99.62, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:14 Evaluating..
2020-01-29 19:15 Predicted for 2001 examples.
2020-01-29 19:15 Done predicting in 95.53536200523376 seconds.
2020-01-29 19:15   Evaluation Accuracy: 99.39 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 19:16 Iteration 00107100, loss   0.0051, accuracy 99.89, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:17 Iteration 00107200, loss   0.0074, accuracy 99.72, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:17 Iteration 00107300, loss   0.0043, accuracy 99.89, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:18 Iteration 00107400, loss   0.0054, accuracy 99.83, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:19 Iteration 00107500, loss   0.0111, accuracy 99.69, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:19 Iteration 00107600, loss   0.0084, accuracy 99.79, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:20 Iteration 00107700, loss   0.0121, accuracy 99.54, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:21 Iteration 00107800, loss   0.0085, accuracy 99.72, exact match 98.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:21 Iteration 00107900, loss   0.0055, accuracy 99.78, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:22 Iteration 00108000, loss   0.0151, accuracy 99.55, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:22 Evaluating..
2020-01-29 19:24 Predicted for 2001 examples.
2020-01-29 19:24 Done predicting in 95.62372183799744 seconds.
2020-01-29 19:24   Evaluation Accuracy: 99.41 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 19:24 Iteration 00108100, loss   0.0041, accuracy 99.88, exact match 98.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:25 Iteration 00108200, loss   0.0067, accuracy 99.74, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:25 Iteration 00108300, loss   0.0091, accuracy 99.57, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-01-29 19:26 Iteration 00108400, loss   0.0063, accuracy 99.61, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:27 Iteration 00108500, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:27 Iteration 00108600, loss   0.0061, accuracy 99.79, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:28 Iteration 00108700, loss   0.0061, accuracy 99.83, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:29 Iteration 00108800, loss   0.0113, accuracy 99.58, exact match 94.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:29 Iteration 00108900, loss   0.0086, accuracy 99.66, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:30 Iteration 00109000, loss   0.0059, accuracy 99.77, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:30 Evaluating..
2020-01-29 19:32 Predicted for 2001 examples.
2020-01-29 19:32 Done predicting in 95.67491555213928 seconds.
2020-01-29 19:32   Evaluation Accuracy: 99.33 Exact Match: 97.55  Target Accuracy:  0.00
2020-01-29 19:32 Iteration 00109100, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:33 Iteration 00109200, loss   0.0059, accuracy 99.82, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:33 Iteration 00109300, loss   0.0080, accuracy 99.77, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:34 Iteration 00109400, loss   0.0031, accuracy 99.96, exact match 99.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:35 Iteration 00109500, loss   0.0032, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:35 Iteration 00109600, loss   0.0048, accuracy 99.82, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:36 Iteration 00109700, loss   0.0067, accuracy 99.75, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:37 Iteration 00109800, loss   0.0101, accuracy 99.65, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:37 Iteration 00109900, loss   0.0034, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:38 Iteration 00110000, loss   0.0057, accuracy 99.86, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:38 Evaluating..
2020-01-29 19:40 Predicted for 2001 examples.
2020-01-29 19:40 Done predicting in 95.77738571166992 seconds.
2020-01-29 19:40   Evaluation Accuracy: 99.22 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 19:40 Iteration 00110100, loss   0.0051, accuracy 99.86, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:41 Iteration 00110200, loss   0.0083, accuracy 99.82, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:42 Iteration 00110300, loss   0.0106, accuracy 99.68, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:42 Iteration 00110400, loss   0.0084, accuracy 99.59, exact match 95.10, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:43 Iteration 00110500, loss   0.0112, accuracy 99.58, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:43 Iteration 00110600, loss   0.0050, accuracy 99.89, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:44 Iteration 00110700, loss   0.0076, accuracy 99.72, exact match 96.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:45 Iteration 00110800, loss   0.0057, accuracy 99.76, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:45 Iteration 00110900, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:46 Iteration 00111000, loss   0.0071, accuracy 99.74, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:46 Evaluating..
2020-01-29 19:48 Predicted for 2001 examples.
2020-01-29 19:48 Done predicting in 95.5989727973938 seconds.
2020-01-29 19:48   Evaluation Accuracy: 99.46 Exact Match: 98.05  Target Accuracy:  0.00
2020-01-29 19:48 Iteration 00111100, loss   0.0067, accuracy 99.79, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:49 Iteration 00111200, loss   0.0128, accuracy 99.76, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:50 Iteration 00111300, loss   0.0065, accuracy 99.73, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:50 Iteration 00111400, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:51 Iteration 00111500, loss   0.0075, accuracy 99.63, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:51 Iteration 00111600, loss   0.0030, accuracy 99.90, exact match 98.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:52 Iteration 00111700, loss   0.0047, accuracy 99.83, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-01-29 19:53 Iteration 00111800, loss   0.0110, accuracy 99.57, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:53 Iteration 00111900, loss   0.0071, accuracy 99.85, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:54 Iteration 00112000, loss   0.0049, accuracy 99.76, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:54 Evaluating..
2020-01-29 19:56 Predicted for 2001 examples.
2020-01-29 19:56 Done predicting in 95.55416178703308 seconds.
2020-01-29 19:56   Evaluation Accuracy: 99.49 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 19:56 Iteration 00112100, loss   0.0044, accuracy 99.84, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:57 Iteration 00112200, loss   0.0104, accuracy 99.72, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:58 Iteration 00112300, loss   0.0044, accuracy 99.81, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:58 Iteration 00112400, loss   0.0083, accuracy 99.80, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 19:59 Iteration 00112500, loss   0.0072, accuracy 99.82, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:00 Iteration 00112600, loss   0.0076, accuracy 99.78, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:00 Iteration 00112700, loss   0.0086, accuracy 99.61, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:01 Iteration 00112800, loss   0.0054, accuracy 99.80, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:01 Iteration 00112900, loss   0.0062, accuracy 99.76, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:02 Iteration 00113000, loss   0.0052, accuracy 99.82, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:02 Evaluating..
2020-01-29 20:04 Predicted for 2001 examples.
2020-01-29 20:04 Done predicting in 95.27843904495239 seconds.
2020-01-29 20:04   Evaluation Accuracy: 99.44 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 20:04 Iteration 00113100, loss   0.0075, accuracy 99.74, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:05 Iteration 00113200, loss   0.0070, accuracy 99.77, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:06 Iteration 00113300, loss   0.0071, accuracy 99.65, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:06 Iteration 00113400, loss   0.0066, accuracy 99.69, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:07 Iteration 00113500, loss   0.0047, accuracy 99.86, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:08 Iteration 00113600, loss   0.0100, accuracy 99.64, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:08 Iteration 00113700, loss   0.0100, accuracy 99.60, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:09 Iteration 00113800, loss   0.0136, accuracy 99.65, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:09 Iteration 00113900, loss   0.0055, accuracy 99.83, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:10 Iteration 00114000, loss   0.0108, accuracy 99.58, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:10 Evaluating..
2020-01-29 20:12 Predicted for 2001 examples.
2020-01-29 20:12 Done predicting in 95.7801525592804 seconds.
2020-01-29 20:12   Evaluation Accuracy: 99.37 Exact Match: 97.65  Target Accuracy:  0.00
2020-01-29 20:12 Iteration 00114100, loss   0.0026, accuracy 99.92, exact match 99.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:13 Iteration 00114200, loss   0.0068, accuracy 99.75, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:14 Iteration 00114300, loss   0.0051, accuracy 99.76, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:14 Iteration 00114400, loss   0.0047, accuracy 99.88, exact match 98.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:15 Iteration 00114500, loss   0.0057, accuracy 99.86, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:16 Iteration 00114600, loss   0.0051, accuracy 99.87, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:16 Iteration 00114700, loss   0.0080, accuracy 99.66, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:17 Iteration 00114800, loss   0.0039, accuracy 99.84, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:18 Iteration 00114900, loss   0.0084, accuracy 99.71, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:18 Iteration 00115000, loss   0.0110, accuracy 99.66, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:18 Evaluating..
2020-01-29 20:20 Predicted for 2001 examples.
2020-01-29 20:20 Done predicting in 95.71338081359863 seconds.
2020-01-29 20:20   Evaluation Accuracy: 99.43 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-29 20:20 Iteration 00115100, loss   0.0081, accuracy 99.70, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:21 Iteration 00115200, loss   0.0077, accuracy 99.76, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-01-29 20:22 Iteration 00115300, loss   0.0117, accuracy 99.82, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:22 Iteration 00115400, loss   0.0075, accuracy 99.65, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:23 Iteration 00115500, loss   0.0110, accuracy 99.61, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:24 Iteration 00115600, loss   0.0051, accuracy 99.82, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:24 Iteration 00115700, loss   0.0074, accuracy 99.74, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:25 Iteration 00115800, loss   0.0051, accuracy 99.86, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:26 Iteration 00115900, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:26 Iteration 00116000, loss   0.0053, accuracy 99.80, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:26 Evaluating..
2020-01-29 20:28 Predicted for 2001 examples.
2020-01-29 20:28 Done predicting in 95.73791718482971 seconds.
2020-01-29 20:28   Evaluation Accuracy: 99.38 Exact Match: 97.90  Target Accuracy:  0.00
2020-01-29 20:28 Iteration 00116100, loss   0.0116, accuracy 99.50, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:29 Iteration 00116200, loss   0.0066, accuracy 99.77, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:30 Iteration 00116300, loss   0.0040, accuracy 99.79, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:30 Iteration 00116400, loss   0.0061, accuracy 99.90, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:31 Iteration 00116500, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:32 Iteration 00116600, loss   0.0081, accuracy 99.68, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:32 Iteration 00116700, loss   0.0098, accuracy 99.70, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:33 Iteration 00116800, loss   0.0048, accuracy 99.84, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:34 Iteration 00116900, loss   0.0063, accuracy 99.72, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:34 Iteration 00117000, loss   0.0045, accuracy 99.86, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:34 Evaluating..
2020-01-29 20:36 Predicted for 2001 examples.
2020-01-29 20:36 Done predicting in 95.59906387329102 seconds.
2020-01-29 20:36   Evaluation Accuracy: 99.31 Exact Match: 98.05  Target Accuracy:  0.00
2020-01-29 20:36 Iteration 00117100, loss   0.0048, accuracy 99.76, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:37 Iteration 00117200, loss   0.0069, accuracy 99.82, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:38 Iteration 00117300, loss   0.0059, accuracy 99.71, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:38 Iteration 00117400, loss   0.0034, accuracy 99.87, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:39 Iteration 00117500, loss   0.0055, accuracy 99.77, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:40 Iteration 00117600, loss   0.0070, accuracy 99.72, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:40 Iteration 00117700, loss   0.0098, accuracy 99.62, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:41 Iteration 00117800, loss   0.0050, accuracy 99.81, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:42 Iteration 00117900, loss   0.0072, accuracy 99.85, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:42 Iteration 00118000, loss   0.0347, accuracy 99.56, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:42 Evaluating..
2020-01-29 20:44 Predicted for 2001 examples.
2020-01-29 20:44 Done predicting in 95.57851886749268 seconds.
2020-01-29 20:44   Evaluation Accuracy: 99.55 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-29 20:45 Iteration 00118100, loss   0.0085, accuracy 99.65, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:45 Iteration 00118200, loss   0.0088, accuracy 99.81, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:46 Iteration 00118300, loss   0.0061, accuracy 99.74, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:46 Iteration 00118400, loss   0.0027, accuracy 99.94, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:47 Iteration 00118500, loss   0.0064, accuracy 99.60, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:48 Iteration 00118600, loss   0.0038, accuracy 99.89, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:48 Iteration 00118700, loss   0.0022, accuracy 99.89, exact match 99.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-01-29 20:49 Iteration 00118800, loss   0.0070, accuracy 99.78, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:50 Iteration 00118900, loss   0.0033, accuracy 99.93, exact match 99.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:50 Iteration 00119000, loss   0.0049, accuracy 99.87, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:50 Evaluating..
2020-01-29 20:52 Predicted for 2001 examples.
2020-01-29 20:52 Done predicting in 95.90855669975281 seconds.
2020-01-29 20:52   Evaluation Accuracy: 99.58 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-29 20:53 Iteration 00119100, loss   0.0030, accuracy 99.96, exact match 99.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:53 Iteration 00119200, loss   0.0045, accuracy 99.80, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:54 Iteration 00119300, loss   0.0135, accuracy 99.55, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:54 Iteration 00119400, loss   0.0054, accuracy 99.76, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:55 Iteration 00119500, loss   0.0070, accuracy 99.76, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:56 Iteration 00119600, loss   0.0086, accuracy 99.75, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:56 Iteration 00119700, loss   0.0035, accuracy 99.86, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:57 Iteration 00119800, loss   0.0055, accuracy 99.79, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:58 Iteration 00119900, loss   0.0037, accuracy 99.89, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:58 Iteration 00120000, loss   0.0041, accuracy 99.78, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 20:58 Evaluating..
2020-01-29 21:00 Predicted for 2001 examples.
2020-01-29 21:00 Done predicting in 95.31206369400024 seconds.
2020-01-29 21:00   Evaluation Accuracy: 99.33 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 21:01 Iteration 00120100, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:01 Iteration 00120200, loss   0.0026, accuracy 99.96, exact match 99.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:02 Iteration 00120300, loss   0.0046, accuracy 99.79, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:03 Iteration 00120400, loss   0.0057, accuracy 99.78, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:03 Iteration 00120500, loss   0.0100, accuracy 99.57, exact match 94.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:04 Iteration 00120600, loss   0.0043, accuracy 99.83, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:04 Iteration 00120700, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:05 Iteration 00120800, loss   0.0069, accuracy 99.69, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:06 Iteration 00120900, loss   0.0047, accuracy 99.79, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:06 Iteration 00121000, loss   0.0096, accuracy 99.69, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:06 Evaluating..
2020-01-29 21:08 Predicted for 2001 examples.
2020-01-29 21:08 Done predicting in 95.43446516990662 seconds.
2020-01-29 21:08   Evaluation Accuracy: 99.33 Exact Match: 97.70  Target Accuracy:  0.00
2020-01-29 21:09 Iteration 00121100, loss   0.0029, accuracy 99.96, exact match 99.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:09 Iteration 00121200, loss   0.0047, accuracy 99.84, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:10 Iteration 00121300, loss   0.0105, accuracy 99.63, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:11 Iteration 00121400, loss   0.0079, accuracy 99.81, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:11 Iteration 00121500, loss   0.0051, accuracy 99.82, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:12 Iteration 00121600, loss   0.0059, accuracy 99.75, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:12 Iteration 00121700, loss   0.0089, accuracy 99.67, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:13 Iteration 00121800, loss   0.0029, accuracy 99.89, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:14 Iteration 00121900, loss   0.0055, accuracy 99.80, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:14 Iteration 00122000, loss   0.0087, accuracy 99.61, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:14 Evaluating..
2020-01-29 21:16 Predicted for 2001 examples.
2020-01-29 21:16 Done predicting in 95.6088547706604 seconds.
2020-01-29 21:16   Evaluation Accuracy: 99.55 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-29 21:17 Iteration 00122100, loss   0.0077, accuracy 99.83, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:17 Iteration 00122200, loss   0.0039, accuracy 99.89, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:18 Iteration 00122300, loss   0.0054, accuracy 99.87, exact match 98.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-01-29 21:19 Iteration 00122400, loss   0.0025, accuracy 99.90, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:19 Iteration 00122500, loss   0.0043, accuracy 99.84, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:20 Iteration 00122600, loss   0.0087, accuracy 99.74, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:21 Iteration 00122700, loss   0.0059, accuracy 99.70, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:21 Iteration 00122800, loss   0.0108, accuracy 99.63, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:22 Iteration 00122900, loss   0.0036, accuracy 99.92, exact match 99.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:23 Iteration 00123000, loss   0.0196, accuracy 99.53, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:23 Evaluating..
2020-01-29 21:24 Predicted for 2001 examples.
2020-01-29 21:24 Done predicting in 100.56261825561523 seconds.
2020-01-29 21:24   Evaluation Accuracy: 99.31 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 21:25 Iteration 00123100, loss   0.0037, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:26 Iteration 00123200, loss   0.0094, accuracy 99.71, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:26 Iteration 00123300, loss   0.0033, accuracy 99.89, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:27 Iteration 00123400, loss   0.0065, accuracy 99.79, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:28 Iteration 00123500, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:28 Iteration 00123600, loss   0.0044, accuracy 99.85, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:29 Iteration 00123700, loss   0.0067, accuracy 99.82, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:30 Iteration 00123800, loss   0.0081, accuracy 99.76, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:30 Iteration 00123900, loss   0.0049, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:31 Iteration 00124000, loss   0.0055, accuracy 99.75, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:31 Evaluating..
2020-01-29 21:33 Predicted for 2001 examples.
2020-01-29 21:33 Done predicting in 100.77857661247253 seconds.
2020-01-29 21:33   Evaluation Accuracy: 99.30 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 21:33 Iteration 00124100, loss   0.0036, accuracy 99.87, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:34 Iteration 00124200, loss   0.0025, accuracy 99.89, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:35 Iteration 00124300, loss   0.0045, accuracy 99.87, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:35 Iteration 00124400, loss   0.0066, accuracy 99.78, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:36 Iteration 00124500, loss   0.0045, accuracy 99.89, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:37 Iteration 00124600, loss   0.0052, accuracy 99.87, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:37 Iteration 00124700, loss   0.0053, accuracy 99.78, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:38 Iteration 00124800, loss   0.0057, accuracy 99.86, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:39 Iteration 00124900, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:39 Iteration 00125000, loss   0.0072, accuracy 99.72, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:39 Evaluating..
2020-01-29 21:41 Predicted for 2001 examples.
2020-01-29 21:41 Done predicting in 100.64407539367676 seconds.
2020-01-29 21:41   Evaluation Accuracy: 99.40 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 21:42 Iteration 00125100, loss   0.0067, accuracy 99.83, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:42 Iteration 00125200, loss   0.0050, accuracy 99.83, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:43 Iteration 00125300, loss   0.0068, accuracy 99.70, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:44 Iteration 00125400, loss   0.0056, accuracy 99.83, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:44 Iteration 00125500, loss   0.0084, accuracy 99.69, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:45 Iteration 00125600, loss   0.0058, accuracy 99.80, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:46 Iteration 00125700, loss   0.0068, accuracy 99.82, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:46 Iteration 00125800, loss   0.0051, accuracy 99.82, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:47 Iteration 00125900, loss   0.0074, accuracy 99.76, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-01-29 21:48 Iteration 00126000, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:48 Evaluating..
2020-01-29 21:50 Predicted for 2001 examples.
2020-01-29 21:50 Done predicting in 99.82614278793335 seconds.
2020-01-29 21:50   Evaluation Accuracy: 99.50 Exact Match: 98.10  Target Accuracy:  0.00
2020-01-29 21:50 Iteration 00126100, loss   0.0094, accuracy 99.59, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:51 Iteration 00126200, loss   0.0037, accuracy 99.86, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:52 Iteration 00126300, loss   0.0085, accuracy 99.68, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:52 Iteration 00126400, loss   0.0143, accuracy 99.52, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:53 Iteration 00126500, loss   0.0045, accuracy 99.83, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:54 Iteration 00126600, loss   0.0069, accuracy 99.69, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:54 Iteration 00126700, loss   0.0015, accuracy 100.00, exact match 100.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:55 Iteration 00126800, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:56 Iteration 00126900, loss   0.0054, accuracy 99.90, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:56 Iteration 00127000, loss   0.0054, accuracy 99.78, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:56 Evaluating..
2020-01-29 21:58 Predicted for 2001 examples.
2020-01-29 21:58 Done predicting in 101.1194589138031 seconds.
2020-01-29 21:58   Evaluation Accuracy: 99.26 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-29 21:59 Iteration 00127100, loss   0.0014, accuracy 99.93, exact match 99.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 21:59 Iteration 00127200, loss   0.0035, accuracy 99.87, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:00 Iteration 00127300, loss   0.0047, accuracy 99.81, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:01 Iteration 00127400, loss   0.0067, accuracy 99.76, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:01 Iteration 00127500, loss   0.0058, accuracy 99.79, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:02 Iteration 00127600, loss   0.0052, accuracy 99.86, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:03 Iteration 00127700, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:03 Iteration 00127800, loss   0.0030, accuracy 99.94, exact match 99.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:04 Iteration 00127900, loss   0.0102, accuracy 99.59, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:05 Iteration 00128000, loss   0.0043, accuracy 99.78, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:05 Evaluating..
2020-01-29 22:06 Predicted for 2001 examples.
2020-01-29 22:06 Done predicting in 100.50955820083618 seconds.
2020-01-29 22:06   Evaluation Accuracy: 99.38 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-29 22:07 Iteration 00128100, loss   0.0100, accuracy 99.62, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:08 Iteration 00128200, loss   0.0049, accuracy 99.89, exact match 98.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:08 Iteration 00128300, loss   0.0077, accuracy 99.66, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:09 Iteration 00128400, loss   0.0046, accuracy 99.79, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:10 Iteration 00128500, loss   0.0047, accuracy 99.87, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:10 Iteration 00128600, loss   0.0078, accuracy 99.72, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:11 Iteration 00128700, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:12 Iteration 00128800, loss   0.0038, accuracy 99.90, exact match 98.60, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:12 Iteration 00128900, loss   0.0057, accuracy 99.74, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:13 Iteration 00129000, loss   0.0098, accuracy 99.75, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:13 Evaluating..
2020-01-29 22:15 Predicted for 2001 examples.
2020-01-29 22:15 Done predicting in 95.40231943130493 seconds.
2020-01-29 22:15   Evaluation Accuracy: 99.41 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 22:15 Iteration 00129100, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:16 Iteration 00129200, loss   0.0085, accuracy 99.70, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:17 Iteration 00129300, loss   0.0067, accuracy 99.71, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:17 Iteration 00129400, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:18 Iteration 00129500, loss   0.0029, accuracy 99.97, exact match 99.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:18 Iteration 00129600, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-01-29 22:19 Iteration 00129700, loss   0.0084, accuracy 99.71, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:20 Iteration 00129800, loss   0.0095, accuracy 99.72, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:20 Iteration 00129900, loss   0.0068, accuracy 99.70, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:21 Iteration 00130000, loss   0.0072, accuracy 99.71, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:21 Evaluating..
2020-01-29 22:23 Predicted for 2001 examples.
2020-01-29 22:23 Done predicting in 95.41680645942688 seconds.
2020-01-29 22:23   Evaluation Accuracy: 99.38 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 22:23 Iteration 00130100, loss   0.0060, accuracy 99.79, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:24 Iteration 00130200, loss   0.0059, accuracy 99.73, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:25 Iteration 00130300, loss   0.0073, accuracy 99.70, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:25 Iteration 00130400, loss   0.0057, accuracy 99.69, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:26 Iteration 00130500, loss   0.0057, accuracy 99.90, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:26 Iteration 00130600, loss   0.0159, accuracy 99.51, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:27 Iteration 00130700, loss   0.0054, accuracy 99.82, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:28 Iteration 00130800, loss   0.0094, accuracy 99.82, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:28 Iteration 00130900, loss   0.0049, accuracy 99.83, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:29 Iteration 00131000, loss   0.0088, accuracy 99.65, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:29 Evaluating..
2020-01-29 22:31 Predicted for 2001 examples.
2020-01-29 22:31 Done predicting in 95.32395696640015 seconds.
2020-01-29 22:31   Evaluation Accuracy: 99.26 Exact Match: 97.30  Target Accuracy:  0.00
2020-01-29 22:31 Iteration 00131100, loss   0.0060, accuracy 99.82, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:32 Iteration 00131200, loss   0.0042, accuracy 99.80, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:33 Iteration 00131300, loss   0.0040, accuracy 99.83, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:33 Iteration 00131400, loss   0.0054, accuracy 99.79, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:34 Iteration 00131500, loss   0.0039, accuracy 99.89, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:34 Iteration 00131600, loss   0.0078, accuracy 99.71, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:35 Iteration 00131700, loss   0.0034, accuracy 99.97, exact match 99.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:36 Iteration 00131800, loss   0.0053, accuracy 99.79, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:36 Iteration 00131900, loss   0.0058, accuracy 99.80, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:37 Iteration 00132000, loss   0.0023, accuracy 99.96, exact match 99.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:37 Evaluating..
2020-01-29 22:39 Predicted for 2001 examples.
2020-01-29 22:39 Done predicting in 95.500417470932 seconds.
2020-01-29 22:39   Evaluation Accuracy: 99.49 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 22:39 Iteration 00132100, loss   0.0036, accuracy 99.83, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:40 Iteration 00132200, loss   0.0082, accuracy 99.79, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:41 Iteration 00132300, loss   0.0062, accuracy 99.74, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:41 Iteration 00132400, loss   0.0120, accuracy 99.69, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:42 Iteration 00132500, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:42 Iteration 00132600, loss   0.0109, accuracy 99.61, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:43 Iteration 00132700, loss   0.0044, accuracy 99.83, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:44 Iteration 00132800, loss   0.0089, accuracy 99.71, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:44 Iteration 00132900, loss   0.0029, accuracy 99.83, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:45 Iteration 00133000, loss   0.0056, accuracy 99.74, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:45 Evaluating..
2020-01-29 22:47 Predicted for 2001 examples.
2020-01-29 22:47 Done predicting in 95.52081942558289 seconds.
2020-01-29 22:47   Evaluation Accuracy: 99.44 Exact Match: 98.25  Target Accuracy:  0.00
2020-01-29 22:47 Iteration 00133100, loss   0.0046, accuracy 99.77, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:48 Iteration 00133200, loss   0.0042, accuracy 99.86, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:48 Iteration 00133300, loss   0.0034, accuracy 99.85, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:49 Iteration 00133400, loss   0.0054, accuracy 99.82, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-01-29 22:50 Iteration 00133500, loss   0.0084, accuracy 99.71, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:50 Iteration 00133600, loss   0.0075, accuracy 99.71, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:51 Iteration 00133700, loss   0.0071, accuracy 99.75, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:52 Iteration 00133800, loss   0.0033, accuracy 99.89, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:52 Iteration 00133900, loss   0.0053, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:53 Iteration 00134000, loss   0.0080, accuracy 99.76, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:53 Evaluating..
2020-01-29 22:55 Predicted for 2001 examples.
2020-01-29 22:55 Done predicting in 95.61225318908691 seconds.
2020-01-29 22:55   Evaluation Accuracy: 99.36 Exact Match: 97.85  Target Accuracy:  0.00
2020-01-29 22:55 Iteration 00134100, loss   0.0046, accuracy 99.77, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:56 Iteration 00134200, loss   0.0049, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:57 Iteration 00134300, loss   0.0074, accuracy 99.77, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:57 Iteration 00134400, loss   0.0047, accuracy 99.93, exact match 99.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:58 Iteration 00134500, loss   0.0050, accuracy 99.81, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:58 Iteration 00134600, loss   0.0049, accuracy 99.80, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 22:59 Iteration 00134700, loss   0.0045, accuracy 99.72, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:00 Iteration 00134800, loss   0.0053, accuracy 99.83, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:00 Iteration 00134900, loss   0.0100, accuracy 99.75, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:01 Iteration 00135000, loss   0.0081, accuracy 99.79, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:01 Evaluating..
2020-01-29 23:03 Predicted for 2001 examples.
2020-01-29 23:03 Done predicting in 95.5460512638092 seconds.
2020-01-29 23:03   Evaluation Accuracy: 99.51 Exact Match: 98.25  Target Accuracy:  0.00
2020-01-29 23:03 Iteration 00135100, loss   0.0091, accuracy 99.72, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:04 Iteration 00135200, loss   0.0085, accuracy 99.79, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:05 Iteration 00135300, loss   0.0064, accuracy 99.68, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:05 Iteration 00135400, loss   0.0041, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:06 Iteration 00135500, loss   0.0067, accuracy 99.74, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:06 Iteration 00135600, loss   0.0059, accuracy 99.85, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:07 Iteration 00135700, loss   0.0045, accuracy 99.87, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:08 Iteration 00135800, loss   0.0066, accuracy 99.71, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:08 Iteration 00135900, loss   0.0075, accuracy 99.78, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:09 Iteration 00136000, loss   0.0060, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:09 Evaluating..
2020-01-29 23:11 Predicted for 2001 examples.
2020-01-29 23:11 Done predicting in 95.49975204467773 seconds.
2020-01-29 23:11   Evaluation Accuracy: 99.48 Exact Match: 98.10  Target Accuracy:  0.00
2020-01-29 23:11 Iteration 00136100, loss   0.0050, accuracy 99.80, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:12 Iteration 00136200, loss   0.0040, accuracy 99.79, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:12 Iteration 00136300, loss   0.0037, accuracy 99.83, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:13 Iteration 00136400, loss   0.0015, accuracy 100.00, exact match 100.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:14 Iteration 00136500, loss   0.0065, accuracy 99.76, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:14 Iteration 00136600, loss   0.0047, accuracy 99.83, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:15 Iteration 00136700, loss   0.0034, accuracy 99.83, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:16 Iteration 00136800, loss   0.0026, accuracy 99.91, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:16 Iteration 00136900, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:17 Iteration 00137000, loss   0.0098, accuracy 99.59, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:17 Evaluating..
2020-01-29 23:19 Predicted for 2001 examples.
2020-01-29 23:19 Done predicting in 95.71252107620239 seconds.
2020-01-29 23:19   Evaluation Accuracy: 98.78 Exact Match: 96.70  Target Accuracy:  0.00
2020-01-29 23:19 Iteration 00137100, loss   0.0087, accuracy 99.82, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:20 Iteration 00137200, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:20 Iteration 00137300, loss   0.0046, accuracy 99.86, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-01-29 23:21 Iteration 00137400, loss   0.0049, accuracy 99.74, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:22 Iteration 00137500, loss   0.0065, accuracy 99.75, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:22 Iteration 00137600, loss   0.0046, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:23 Iteration 00137700, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:24 Iteration 00137800, loss   0.0029, accuracy 99.97, exact match 99.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:24 Iteration 00137900, loss   0.0045, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:25 Iteration 00138000, loss   0.0159, accuracy 99.68, exact match 95.80, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:25 Evaluating..
2020-01-29 23:27 Predicted for 2001 examples.
2020-01-29 23:27 Done predicting in 95.57589936256409 seconds.
2020-01-29 23:27   Evaluation Accuracy: 99.53 Exact Match: 98.20  Target Accuracy:  0.00
2020-01-29 23:27 Iteration 00138100, loss   0.0023, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:28 Iteration 00138200, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:28 Iteration 00138300, loss   0.0052, accuracy 99.83, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:29 Iteration 00138400, loss   0.0040, accuracy 99.85, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:30 Iteration 00138500, loss   0.0024, accuracy 99.94, exact match 99.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:30 Iteration 00138600, loss   0.0071, accuracy 99.74, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:31 Iteration 00138700, loss   0.0057, accuracy 99.77, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:32 Iteration 00138800, loss   0.0151, accuracy 99.75, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:32 Iteration 00138900, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:33 Iteration 00139000, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:33 Evaluating..
2020-01-29 23:35 Predicted for 2001 examples.
2020-01-29 23:35 Done predicting in 95.55857253074646 seconds.
2020-01-29 23:35   Evaluation Accuracy: 99.43 Exact Match: 97.80  Target Accuracy:  0.00
2020-01-29 23:35 Iteration 00139100, loss   0.0044, accuracy 99.77, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:36 Iteration 00139200, loss   0.0041, accuracy 99.81, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:36 Iteration 00139300, loss   0.0058, accuracy 99.82, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:37 Iteration 00139400, loss   0.0085, accuracy 99.68, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:38 Iteration 00139500, loss   0.0064, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:38 Iteration 00139600, loss   0.0115, accuracy 99.72, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:39 Iteration 00139700, loss   0.0054, accuracy 99.80, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:40 Iteration 00139800, loss   0.0060, accuracy 99.71, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:40 Iteration 00139900, loss   0.0022, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:41 Iteration 00140000, loss   0.0053, accuracy 99.79, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:41 Evaluating..
2020-01-29 23:43 Predicted for 2001 examples.
2020-01-29 23:43 Done predicting in 95.52657675743103 seconds.
2020-01-29 23:43   Evaluation Accuracy: 99.44 Exact Match: 98.00  Target Accuracy:  0.00
2020-01-29 23:43 Iteration 00140100, loss   0.0068, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:44 Iteration 00140200, loss   0.0055, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:44 Iteration 00140300, loss   0.0011, accuracy 100.00, exact match 100.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:45 Iteration 00140400, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:46 Iteration 00140500, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:46 Iteration 00140600, loss   0.0055, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:47 Iteration 00140700, loss   0.0058, accuracy 99.77, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:48 Iteration 00140800, loss   0.0079, accuracy 99.82, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:48 Iteration 00140900, loss   0.0096, accuracy 99.74, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:49 Iteration 00141000, loss   0.0045, accuracy 99.78, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:49 Evaluating..
2020-01-29 23:51 Predicted for 2001 examples.
2020-01-29 23:51 Done predicting in 95.33723998069763 seconds.
2020-01-29 23:51   Evaluation Accuracy: 99.54 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-29 23:51 Iteration 00141100, loss   0.0038, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:52 Iteration 00141200, loss   0.0024, accuracy 99.89, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:52 Iteration 00141300, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-01-29 23:53 Iteration 00141400, loss   0.0051, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:54 Iteration 00141500, loss   0.0047, accuracy 99.82, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:54 Iteration 00141600, loss   0.0059, accuracy 99.71, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:55 Iteration 00141700, loss   0.0044, accuracy 99.77, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:56 Iteration 00141800, loss   0.0047, accuracy 99.83, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:56 Iteration 00141900, loss   0.0046, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:57 Iteration 00142000, loss   0.0032, accuracy 99.93, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-29 23:57 Evaluating..
2020-01-29 23:59 Predicted for 2001 examples.
2020-01-29 23:59 Done predicting in 95.42400097846985 seconds.
2020-01-29 23:59   Evaluation Accuracy: 99.61 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-29 23:59 Iteration 00142100, loss   0.0033, accuracy 99.87, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:00 Iteration 00142200, loss   0.0108, accuracy 99.54, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:00 Iteration 00142300, loss   0.0071, accuracy 99.74, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:01 Iteration 00142400, loss   0.0064, accuracy 99.73, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:02 Iteration 00142500, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:02 Iteration 00142600, loss   0.0058, accuracy 99.78, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:03 Iteration 00142700, loss   0.0041, accuracy 99.86, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:04 Iteration 00142800, loss   0.0082, accuracy 99.62, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:04 Iteration 00142900, loss   0.0078, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:05 Iteration 00143000, loss   0.0088, accuracy 99.67, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:05 Evaluating..
2020-01-30 00:07 Predicted for 2001 examples.
2020-01-30 00:07 Done predicting in 95.46087670326233 seconds.
2020-01-30 00:07   Evaluation Accuracy: 99.42 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-30 00:07 Iteration 00143100, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:08 Iteration 00143200, loss   0.0079, accuracy 99.81, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:08 Iteration 00143300, loss   0.0048, accuracy 99.87, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:09 Iteration 00143400, loss   0.0120, accuracy 99.56, exact match 94.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:10 Iteration 00143500, loss   0.0087, accuracy 99.74, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:10 Iteration 00143600, loss   0.0029, accuracy 99.93, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:11 Iteration 00143700, loss   0.0025, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:12 Iteration 00143800, loss   0.0040, accuracy 99.90, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:12 Iteration 00143900, loss   0.0069, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:13 Iteration 00144000, loss   0.0051, accuracy 99.87, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:13 Evaluating..
2020-01-30 00:15 Predicted for 2001 examples.
2020-01-30 00:15 Done predicting in 95.32995891571045 seconds.
2020-01-30 00:15   Evaluation Accuracy: 99.52 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 00:15 Iteration 00144100, loss   0.0041, accuracy 99.78, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:16 Iteration 00144200, loss   0.0026, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:16 Iteration 00144300, loss   0.0080, accuracy 99.69, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:17 Iteration 00144400, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:18 Iteration 00144500, loss   0.0046, accuracy 99.89, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:18 Iteration 00144600, loss   0.0068, accuracy 99.68, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:19 Iteration 00144700, loss   0.0040, accuracy 99.87, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:20 Iteration 00144800, loss   0.0062, accuracy 99.76, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:20 Iteration 00144900, loss   0.0041, accuracy 99.87, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:21 Iteration 00145000, loss   0.0043, accuracy 99.85, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:21 Evaluating..
2020-01-30 00:23 Predicted for 2001 examples.
2020-01-30 00:23 Done predicting in 95.33942890167236 seconds.
2020-01-30 00:23   Evaluation Accuracy: 99.63 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 00:23 Iteration 00145100, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:24 Iteration 00145200, loss   0.0073, accuracy 99.74, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:24 Iteration 00145300, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-01-30 00:25 Iteration 00145400, loss   0.0056, accuracy 99.86, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:26 Iteration 00145500, loss   0.0031, accuracy 99.89, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:26 Iteration 00145600, loss   0.0043, accuracy 99.87, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:27 Iteration 00145700, loss   0.0045, accuracy 99.87, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:28 Iteration 00145800, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:28 Iteration 00145900, loss   0.0093, accuracy 99.79, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:29 Iteration 00146000, loss   0.0032, accuracy 99.82, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:29 Evaluating..
2020-01-30 00:31 Predicted for 2001 examples.
2020-01-30 00:31 Done predicting in 95.46289253234863 seconds.
2020-01-30 00:31   Evaluation Accuracy: 99.54 Exact Match: 98.25  Target Accuracy:  0.00
2020-01-30 00:31 Iteration 00146100, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:32 Iteration 00146200, loss   0.0018, accuracy 99.93, exact match 99.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:32 Iteration 00146300, loss   0.0031, accuracy 99.86, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:33 Iteration 00146400, loss   0.0053, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:34 Iteration 00146500, loss   0.0060, accuracy 99.82, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:34 Iteration 00146600, loss   0.0076, accuracy 99.70, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:35 Iteration 00146700, loss   0.0071, accuracy 99.63, exact match 94.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:36 Iteration 00146800, loss   0.0059, accuracy 99.69, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:36 Iteration 00146900, loss   0.0057, accuracy 99.89, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:37 Iteration 00147000, loss   0.0039, accuracy 99.78, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:37 Evaluating..
2020-01-30 00:39 Predicted for 2001 examples.
2020-01-30 00:39 Done predicting in 95.31595611572266 seconds.
2020-01-30 00:39   Evaluation Accuracy: 99.49 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 00:39 Iteration 00147100, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:40 Iteration 00147200, loss   0.0051, accuracy 99.86, exact match 98.60, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:40 Iteration 00147300, loss   0.0057, accuracy 99.74, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:41 Iteration 00147400, loss   0.0060, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:42 Iteration 00147500, loss   0.0031, accuracy 99.82, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:42 Iteration 00147600, loss   0.0047, accuracy 99.87, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:43 Iteration 00147700, loss   0.0012, accuracy 100.00, exact match 100.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:44 Iteration 00147800, loss   0.0050, accuracy 99.75, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:44 Iteration 00147900, loss   0.0054, accuracy 99.81, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:45 Iteration 00148000, loss   0.0044, accuracy 99.85, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:45 Evaluating..
2020-01-30 00:46 Predicted for 2001 examples.
2020-01-30 00:46 Done predicting in 95.43347501754761 seconds.
2020-01-30 00:46   Evaluation Accuracy: 99.55 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 00:47 Iteration 00148100, loss   0.0078, accuracy 99.71, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:48 Iteration 00148200, loss   0.0061, accuracy 99.81, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:48 Iteration 00148300, loss   0.0039, accuracy 99.91, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:49 Iteration 00148400, loss   0.0027, accuracy 99.92, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:50 Iteration 00148500, loss   0.0032, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:50 Iteration 00148600, loss   0.0030, accuracy 99.89, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:51 Iteration 00148700, loss   0.0076, accuracy 99.79, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:52 Iteration 00148800, loss   0.0071, accuracy 99.74, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:52 Iteration 00148900, loss   0.0068, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:53 Iteration 00149000, loss   0.0059, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:53 Evaluating..
2020-01-30 00:54 Predicted for 2001 examples.
2020-01-30 00:54 Done predicting in 95.50246381759644 seconds.
2020-01-30 00:54   Evaluation Accuracy: 99.55 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 00:55 Iteration 00149100, loss   0.0062, accuracy 99.83, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:56 Iteration 00149200, loss   0.0024, accuracy 99.93, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:56 Iteration 00149300, loss   0.0029, accuracy 99.89, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:57 Iteration 00149400, loss   0.0032, accuracy 99.90, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-01-30 00:58 Iteration 00149500, loss   0.0056, accuracy 99.73, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 00:58 Iteration 00149600, loss   0.0025, accuracy 99.93, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 00:59 Iteration 00149700, loss   0.0049, accuracy 99.76, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:00 Iteration 00149800, loss   0.0084, accuracy 99.75, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:00 Iteration 00149900, loss   0.0035, accuracy 99.85, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:01 Iteration 00150000, loss   0.0066, accuracy 99.75, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:01 Evaluating..
2020-01-30 01:02 Predicted for 2001 examples.
2020-01-30 01:02 Done predicting in 95.36913752555847 seconds.
2020-01-30 01:02   Evaluation Accuracy: 99.65 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 01:03 Iteration 00150100, loss   0.0057, accuracy 99.82, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:04 Iteration 00150200, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:04 Iteration 00150300, loss   0.0049, accuracy 99.81, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:05 Iteration 00150400, loss   0.0052, accuracy 99.73, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:06 Iteration 00150500, loss   0.0053, accuracy 99.80, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:06 Iteration 00150600, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:07 Iteration 00150700, loss   0.0052, accuracy 99.84, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:08 Iteration 00150800, loss   0.0036, accuracy 99.77, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:08 Iteration 00150900, loss   0.0060, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:09 Iteration 00151000, loss   0.0053, accuracy 99.76, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:09 Evaluating..
2020-01-30 01:10 Predicted for 2001 examples.
2020-01-30 01:10 Done predicting in 95.4594361782074 seconds.
2020-01-30 01:10   Evaluation Accuracy: 99.65 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 01:11 Iteration 00151100, loss   0.0046, accuracy 99.90, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:12 Iteration 00151200, loss   0.0062, accuracy 99.85, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:12 Iteration 00151300, loss   0.0067, accuracy 99.75, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:13 Iteration 00151400, loss   0.0033, accuracy 99.94, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:14 Iteration 00151500, loss   0.0101, accuracy 99.60, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:14 Iteration 00151600, loss   0.0039, accuracy 99.84, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:15 Iteration 00151700, loss   0.0044, accuracy 99.85, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:16 Iteration 00151800, loss   0.0144, accuracy 99.76, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:16 Iteration 00151900, loss   0.0087, accuracy 99.67, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:17 Iteration 00152000, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:17 Evaluating..
2020-01-30 01:18 Predicted for 2001 examples.
2020-01-30 01:18 Done predicting in 95.48163795471191 seconds.
2020-01-30 01:18   Evaluation Accuracy: 99.37 Exact Match: 97.75  Target Accuracy:  0.00
2020-01-30 01:19 Iteration 00152100, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:20 Iteration 00152200, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:20 Iteration 00152300, loss   0.0077, accuracy 99.80, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:21 Iteration 00152400, loss   0.0029, accuracy 99.82, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:22 Iteration 00152500, loss   0.0033, accuracy 99.83, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:22 Iteration 00152600, loss   0.0061, accuracy 99.74, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:23 Iteration 00152700, loss   0.0048, accuracy 99.87, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:24 Iteration 00152800, loss   0.0027, accuracy 99.94, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:24 Iteration 00152900, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:25 Iteration 00153000, loss   0.0039, accuracy 99.89, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:25 Evaluating..
2020-01-30 01:26 Predicted for 2001 examples.
2020-01-30 01:26 Done predicting in 95.37456464767456 seconds.
2020-01-30 01:26   Evaluation Accuracy: 99.45 Exact Match: 98.25  Target Accuracy:  0.00
2020-01-30 01:27 Iteration 00153100, loss   0.0039, accuracy 99.83, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:28 Iteration 00153200, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:28 Iteration 00153300, loss   0.0030, accuracy 99.90, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:29 Iteration 00153400, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:30 Iteration 00153500, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:30 Iteration 00153600, loss   0.0046, accuracy 99.80, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-01-30 01:31 Iteration 00153700, loss   0.0043, accuracy 99.83, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:32 Iteration 00153800, loss   0.0036, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:32 Iteration 00153900, loss   0.0064, accuracy 99.76, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:33 Iteration 00154000, loss   0.0071, accuracy 99.78, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:33 Evaluating..
2020-01-30 01:34 Predicted for 2001 examples.
2020-01-30 01:34 Done predicting in 95.4353699684143 seconds.
2020-01-30 01:34   Evaluation Accuracy: 99.46 Exact Match: 98.15  Target Accuracy:  0.00
2020-01-30 01:35 Iteration 00154100, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:36 Iteration 00154200, loss   0.0029, accuracy 99.89, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:36 Iteration 00154300, loss   0.0016, accuracy 99.96, exact match 99.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:37 Iteration 00154400, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:38 Iteration 00154500, loss   0.0063, accuracy 99.77, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:38 Iteration 00154600, loss   0.0067, accuracy 99.81, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:39 Iteration 00154700, loss   0.0043, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:40 Iteration 00154800, loss   0.0064, accuracy 99.65, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:40 Iteration 00154900, loss   0.0061, accuracy 99.70, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:41 Iteration 00155000, loss   0.0038, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:41 Evaluating..
2020-01-30 01:42 Predicted for 2001 examples.
2020-01-30 01:42 Done predicting in 95.39618873596191 seconds.
2020-01-30 01:42   Evaluation Accuracy: 99.61 Exact Match: 98.60  Target Accuracy:  0.00
2020-01-30 01:43 Iteration 00155100, loss   0.0062, accuracy 99.70, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:44 Iteration 00155200, loss   0.0029, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:44 Iteration 00155300, loss   0.0072, accuracy 99.87, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:45 Iteration 00155400, loss   0.0083, accuracy 99.63, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:46 Iteration 00155500, loss   0.0058, accuracy 99.66, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:46 Iteration 00155600, loss   0.0020, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:47 Iteration 00155700, loss   0.0023, accuracy 99.94, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:48 Iteration 00155800, loss   0.0081, accuracy 99.73, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:48 Iteration 00155900, loss   0.0103, accuracy 99.69, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:49 Iteration 00156000, loss   0.0056, accuracy 99.81, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:49 Evaluating..
2020-01-30 01:50 Predicted for 2001 examples.
2020-01-30 01:50 Done predicting in 95.37067747116089 seconds.
2020-01-30 01:50   Evaluation Accuracy: 99.48 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 01:51 Iteration 00156100, loss   0.0057, accuracy 99.85, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:52 Iteration 00156200, loss   0.0024, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:52 Iteration 00156300, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:53 Iteration 00156400, loss   0.0035, accuracy 99.85, exact match 97.90, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:54 Iteration 00156500, loss   0.0079, accuracy 99.72, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:54 Iteration 00156600, loss   0.0024, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:55 Iteration 00156700, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:56 Iteration 00156800, loss   0.0043, accuracy 99.89, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:56 Iteration 00156900, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:57 Iteration 00157000, loss   0.0060, accuracy 99.79, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 01:57 Evaluating..
2020-01-30 01:58 Predicted for 2001 examples.
2020-01-30 01:58 Done predicting in 95.26828908920288 seconds.
2020-01-30 01:58   Evaluation Accuracy: 99.64 Exact Match: 98.75  Target Accuracy:  0.00
2020-01-30 01:59 Iteration 00157100, loss   0.0082, accuracy 99.74, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:00 Iteration 00157200, loss   0.0054, accuracy 99.82, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:00 Iteration 00157300, loss   0.0042, accuracy 99.83, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:01 Iteration 00157400, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:02 Iteration 00157500, loss   0.0040, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:02 Iteration 00157600, loss   0.0043, accuracy 99.85, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:03 Iteration 00157700, loss   0.0040, accuracy 99.93, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:04 Iteration 00157800, loss   0.0046, accuracy 99.85, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:04 Iteration 00157900, loss   0.0064, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:05 Iteration 00158000, loss   0.0045, accuracy 99.79, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-01-30 02:05 Evaluating..
2020-01-30 02:06 Predicted for 2001 examples.
2020-01-30 02:06 Done predicting in 95.38399529457092 seconds.
2020-01-30 02:06   Evaluation Accuracy: 99.61 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 02:07 Iteration 00158100, loss   0.0105, accuracy 99.69, exact match 95.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:08 Iteration 00158200, loss   0.0077, accuracy 99.78, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:08 Iteration 00158300, loss   0.0077, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:09 Iteration 00158400, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:10 Iteration 00158500, loss   0.0060, accuracy 99.70, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:10 Iteration 00158600, loss   0.0025, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:11 Iteration 00158700, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:12 Iteration 00158800, loss   0.0047, accuracy 99.79, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:12 Iteration 00158900, loss   0.0102, accuracy 99.78, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:13 Iteration 00159000, loss   0.0034, accuracy 99.90, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:13 Evaluating..
2020-01-30 02:14 Predicted for 2001 examples.
2020-01-30 02:14 Done predicting in 95.40512132644653 seconds.
2020-01-30 02:14   Evaluation Accuracy: 99.41 Exact Match: 97.95  Target Accuracy:  0.00
2020-01-30 02:15 Iteration 00159100, loss   0.0060, accuracy 99.86, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:16 Iteration 00159200, loss   0.0085, accuracy 99.74, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:16 Iteration 00159300, loss   0.0015, accuracy 99.97, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:17 Iteration 00159400, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:18 Iteration 00159500, loss   0.0057, accuracy 99.72, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:18 Iteration 00159600, loss   0.0042, accuracy 99.89, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:19 Iteration 00159700, loss   0.0052, accuracy 99.78, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:20 Iteration 00159800, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:20 Iteration 00159900, loss   0.0024, accuracy 99.93, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:21 Iteration 00160000, loss   0.0070, accuracy 99.71, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:21 Evaluating..
2020-01-30 02:22 Predicted for 2001 examples.
2020-01-30 02:22 Done predicting in 95.42517113685608 seconds.
2020-01-30 02:22   Evaluation Accuracy: 99.62 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 02:23 Iteration 00160100, loss   0.0066, accuracy 99.85, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:24 Iteration 00160200, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:24 Iteration 00160300, loss   0.0036, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:25 Iteration 00160400, loss   0.0025, accuracy 99.93, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:26 Iteration 00160500, loss   0.0052, accuracy 99.81, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:26 Iteration 00160600, loss   0.0066, accuracy 99.72, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:27 Iteration 00160700, loss   0.0040, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:28 Iteration 00160800, loss   0.0058, accuracy 99.90, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:28 Iteration 00160900, loss   0.0050, accuracy 99.79, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:29 Iteration 00161000, loss   0.0051, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:29 Evaluating..
2020-01-30 02:30 Predicted for 2001 examples.
2020-01-30 02:30 Done predicting in 95.61824107170105 seconds.
2020-01-30 02:30   Evaluation Accuracy: 99.50 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 02:31 Iteration 00161100, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:32 Iteration 00161200, loss   0.0051, accuracy 99.82, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:32 Iteration 00161300, loss   0.0030, accuracy 99.93, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:33 Iteration 00161400, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:34 Iteration 00161500, loss   0.0074, accuracy 99.72, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:34 Iteration 00161600, loss   0.0049, accuracy 99.82, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:35 Iteration 00161700, loss   0.0072, accuracy 99.83, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:35 Iteration 00161800, loss   0.0086, accuracy 99.72, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:36 Iteration 00161900, loss   0.0041, accuracy 99.83, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:37 Iteration 00162000, loss   0.0067, accuracy 99.76, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:37 Evaluating..
2020-01-30 02:38 Predicted for 2001 examples.
2020-01-30 02:38 Done predicting in 95.53157329559326 seconds.
2020-01-30 02:38   Evaluation Accuracy: 99.50 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-30 02:39 Iteration 00162100, loss   0.0027, accuracy 99.86, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:40 Iteration 00162200, loss   0.0042, accuracy 99.87, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:40 Iteration 00162300, loss   0.0032, accuracy 99.92, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:41 Iteration 00162400, loss   0.0084, accuracy 99.71, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-01-30 02:42 Iteration 00162500, loss   0.0025, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:42 Iteration 00162600, loss   0.0065, accuracy 99.84, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:43 Iteration 00162700, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:44 Iteration 00162800, loss   0.0097, accuracy 99.74, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:44 Iteration 00162900, loss   0.0031, accuracy 99.85, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:45 Iteration 00163000, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:45 Evaluating..
2020-01-30 02:46 Predicted for 2001 examples.
2020-01-30 02:46 Done predicting in 95.37690138816833 seconds.
2020-01-30 02:46   Evaluation Accuracy: 99.49 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 02:47 Iteration 00163100, loss   0.0059, accuracy 99.72, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:48 Iteration 00163200, loss   0.0064, accuracy 99.76, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:48 Iteration 00163300, loss   0.0085, accuracy 99.72, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:49 Iteration 00163400, loss   0.0055, accuracy 99.79, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:50 Iteration 00163500, loss   0.0016, accuracy 99.97, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:50 Iteration 00163600, loss   0.0033, accuracy 99.87, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:51 Iteration 00163700, loss   0.0036, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:51 Iteration 00163800, loss   0.0033, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:52 Iteration 00163900, loss   0.0042, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:53 Iteration 00164000, loss   0.0028, accuracy 99.87, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:53 Evaluating..
2020-01-30 02:54 Predicted for 2001 examples.
2020-01-30 02:54 Done predicting in 95.44144082069397 seconds.
2020-01-30 02:54   Evaluation Accuracy: 99.58 Exact Match: 98.50  Target Accuracy:  0.00
2020-01-30 02:55 Iteration 00164100, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:56 Iteration 00164200, loss   0.0030, accuracy 99.79, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:56 Iteration 00164300, loss   0.0051, accuracy 99.85, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:57 Iteration 00164400, loss   0.0047, accuracy 99.85, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:58 Iteration 00164500, loss   0.0037, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:58 Iteration 00164600, loss   0.0013, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:59 Iteration 00164700, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 02:59 Iteration 00164800, loss   0.0019, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:00 Iteration 00164900, loss   0.0057, accuracy 99.75, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:01 Iteration 00165000, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:01 Evaluating..
2020-01-30 03:02 Predicted for 2001 examples.
2020-01-30 03:02 Done predicting in 95.31611752510071 seconds.
2020-01-30 03:02   Evaluation Accuracy: 99.54 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 03:03 Iteration 00165100, loss   0.0036, accuracy 99.80, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:04 Iteration 00165200, loss   0.0043, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:04 Iteration 00165300, loss   0.0099, accuracy 99.64, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:05 Iteration 00165400, loss   0.0029, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:06 Iteration 00165500, loss   0.0053, accuracy 99.83, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:06 Iteration 00165600, loss   0.0041, accuracy 99.85, exact match 97.90, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:07 Iteration 00165700, loss   0.0081, accuracy 99.78, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:07 Iteration 00165800, loss   0.0037, accuracy 99.74, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:08 Iteration 00165900, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:09 Iteration 00166000, loss   0.0035, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:09 Evaluating..
2020-01-30 03:10 Predicted for 2001 examples.
2020-01-30 03:10 Done predicting in 95.35431909561157 seconds.
2020-01-30 03:10   Evaluation Accuracy: 99.56 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 03:11 Iteration 00166100, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:12 Iteration 00166200, loss   0.0091, accuracy 99.71, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:12 Iteration 00166300, loss   0.0055, accuracy 99.76, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:13 Iteration 00166400, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:14 Iteration 00166500, loss   0.0025, accuracy 99.96, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:14 Iteration 00166600, loss   0.0032, accuracy 99.80, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:15 Iteration 00166700, loss   0.0055, accuracy 99.82, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:15 Iteration 00166800, loss   0.0092, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:16 Iteration 00166900, loss   0.0014, accuracy 99.96, exact match 99.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-01-30 03:17 Iteration 00167000, loss   0.0064, accuracy 99.76, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:17 Evaluating..
2020-01-30 03:18 Predicted for 2001 examples.
2020-01-30 03:18 Done predicting in 95.62035298347473 seconds.
2020-01-30 03:18   Evaluation Accuracy: 99.54 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-30 03:19 Iteration 00167100, loss   0.0050, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:20 Iteration 00167200, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:20 Iteration 00167300, loss   0.0084, accuracy 99.73, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:21 Iteration 00167400, loss   0.0036, accuracy 99.84, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:22 Iteration 00167500, loss   0.0035, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:22 Iteration 00167600, loss   0.0021, accuracy 99.94, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:23 Iteration 00167700, loss   0.0021, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:23 Iteration 00167800, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:24 Iteration 00167900, loss   0.0046, accuracy 99.84, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:25 Iteration 00168000, loss   0.0052, accuracy 99.82, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:25 Evaluating..
2020-01-30 03:26 Predicted for 2001 examples.
2020-01-30 03:26 Done predicting in 95.55941104888916 seconds.
2020-01-30 03:26   Evaluation Accuracy: 99.49 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 03:27 Iteration 00168100, loss   0.0040, accuracy 99.84, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:28 Iteration 00168200, loss   0.0033, accuracy 99.84, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:28 Iteration 00168300, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:29 Iteration 00168400, loss   0.0016, accuracy 99.96, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:30 Iteration 00168500, loss   0.0070, accuracy 99.79, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:30 Iteration 00168600, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:31 Iteration 00168700, loss   0.0067, accuracy 99.71, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:31 Iteration 00168800, loss   0.0042, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:32 Iteration 00168900, loss   0.0039, accuracy 99.79, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:33 Iteration 00169000, loss   0.0057, accuracy 99.77, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:33 Evaluating..
2020-01-30 03:34 Predicted for 2001 examples.
2020-01-30 03:34 Done predicting in 95.37239789962769 seconds.
2020-01-30 03:34   Evaluation Accuracy: 99.54 Exact Match: 98.50  Target Accuracy:  0.00
2020-01-30 03:35 Iteration 00169100, loss   0.0034, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:36 Iteration 00169200, loss   0.0048, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:36 Iteration 00169300, loss   0.0056, accuracy 99.78, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:37 Iteration 00169400, loss   0.0012, accuracy 99.96, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:38 Iteration 00169500, loss   0.0029, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:38 Iteration 00169600, loss   0.0051, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:39 Iteration 00169700, loss   0.0043, accuracy 99.87, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:39 Iteration 00169800, loss   0.0034, accuracy 99.85, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:40 Iteration 00169900, loss   0.0033, accuracy 99.97, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:41 Iteration 00170000, loss   0.0058, accuracy 99.78, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:41 Evaluating..
2020-01-30 03:42 Predicted for 2001 examples.
2020-01-30 03:42 Done predicting in 95.50743269920349 seconds.
2020-01-30 03:42   Evaluation Accuracy: 99.56 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 03:43 Iteration 00170100, loss   0.0042, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:44 Iteration 00170200, loss   0.0042, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:44 Iteration 00170300, loss   0.0032, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:45 Iteration 00170400, loss   0.0089, accuracy 99.73, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:46 Iteration 00170500, loss   0.0123, accuracy 99.80, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:46 Iteration 00170600, loss   0.0094, accuracy 99.79, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:47 Iteration 00170700, loss   0.0032, accuracy 99.82, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:47 Iteration 00170800, loss   0.0031, accuracy 99.89, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:48 Iteration 00170900, loss   0.0017, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:49 Iteration 00171000, loss   0.0061, accuracy 99.72, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:49 Evaluating..
2020-01-30 03:50 Predicted for 2001 examples.
2020-01-30 03:50 Done predicting in 95.37630891799927 seconds.
2020-01-30 03:50   Evaluation Accuracy: 99.51 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 03:51 Iteration 00171100, loss   0.0027, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:52 Iteration 00171200, loss   0.0021, accuracy 99.97, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:52 Iteration 00171300, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:53 Iteration 00171400, loss   0.0114, accuracy 99.83, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:54 Iteration 00171500, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-01-30 03:54 Iteration 00171600, loss   0.0035, accuracy 99.91, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 03:55 Iteration 00171700, loss   0.0021, accuracy 99.94, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 03:55 Iteration 00171800, loss   0.0026, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 03:56 Iteration 00171900, loss   0.0018, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 03:57 Iteration 00172000, loss   0.0034, accuracy 99.80, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 03:57 Evaluating..
2020-01-30 03:58 Predicted for 2001 examples.
2020-01-30 03:58 Done predicting in 95.40178084373474 seconds.
2020-01-30 03:58   Evaluation Accuracy: 99.61 Exact Match: 98.70  Target Accuracy:  0.00
2020-01-30 03:59 Iteration 00172100, loss   0.0032, accuracy 99.87, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:00 Iteration 00172200, loss   0.0053, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:00 Iteration 00172300, loss   0.0033, accuracy 99.82, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:01 Iteration 00172400, loss   0.0072, accuracy 99.70, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:02 Iteration 00172500, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:02 Iteration 00172600, loss   0.0046, accuracy 99.81, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:03 Iteration 00172700, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:03 Iteration 00172800, loss   0.0055, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:04 Iteration 00172900, loss   0.0035, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:05 Iteration 00173000, loss   0.0036, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:05 Evaluating..
2020-01-30 04:06 Predicted for 2001 examples.
2020-01-30 04:06 Done predicting in 95.40462374687195 seconds.
2020-01-30 04:06   Evaluation Accuracy: 99.49 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 04:07 Iteration 00173100, loss   0.0043, accuracy 99.84, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:08 Iteration 00173200, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:08 Iteration 00173300, loss   0.0107, accuracy 99.73, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:09 Iteration 00173400, loss   0.0078, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:10 Iteration 00173500, loss   0.0030, accuracy 99.85, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:10 Iteration 00173600, loss   0.0030, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:11 Iteration 00173700, loss   0.0034, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:11 Iteration 00173800, loss   0.0058, accuracy 99.82, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:12 Iteration 00173900, loss   0.0034, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:13 Iteration 00174000, loss   0.0034, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:13 Evaluating..
2020-01-30 04:14 Predicted for 2001 examples.
2020-01-30 04:14 Done predicting in 95.45085668563843 seconds.
2020-01-30 04:14   Evaluation Accuracy: 99.49 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 04:15 Iteration 00174100, loss   0.0057, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:16 Iteration 00174200, loss   0.0035, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:16 Iteration 00174300, loss   0.0053, accuracy 99.72, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:17 Iteration 00174400, loss   0.0066, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:18 Iteration 00174500, loss   0.0011, accuracy 99.97, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:18 Iteration 00174600, loss   0.0048, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:19 Iteration 00174700, loss   0.0037, accuracy 99.89, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:19 Iteration 00174800, loss   0.0017, accuracy 100.00, exact match 100.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:20 Iteration 00174900, loss   0.0042, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:21 Iteration 00175000, loss   0.0053, accuracy 99.75, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:21 Evaluating..
2020-01-30 04:22 Predicted for 2001 examples.
2020-01-30 04:22 Done predicting in 95.65211415290833 seconds.
2020-01-30 04:22   Evaluation Accuracy: 99.58 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 04:23 Iteration 00175100, loss   0.0059, accuracy 99.83, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:24 Iteration 00175200, loss   0.0015, accuracy 99.97, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:24 Iteration 00175300, loss   0.0051, accuracy 99.84, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:25 Iteration 00175400, loss   0.0053, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:26 Iteration 00175500, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:26 Iteration 00175600, loss   0.0023, accuracy 99.86, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:27 Iteration 00175700, loss   0.0045, accuracy 99.76, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:28 Iteration 00175800, loss   0.0029, accuracy 99.90, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:28 Iteration 00175900, loss   0.0033, accuracy 99.96, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:29 Iteration 00176000, loss   0.0093, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:29 Evaluating..
2020-01-30 04:30 Predicted for 2001 examples.
2020-01-30 04:30 Done predicting in 95.7764720916748 seconds.
2020-01-30 04:30   Evaluation Accuracy: 99.50 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 04:31 Iteration 00176100, loss   0.0022, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:32 Iteration 00176200, loss   0.0077, accuracy 99.82, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:32 Iteration 00176300, loss   0.0033, accuracy 99.93, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-01-30 04:33 Iteration 00176400, loss   0.0025, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:34 Iteration 00176500, loss   0.0068, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:34 Iteration 00176600, loss   0.0038, accuracy 99.79, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:35 Iteration 00176700, loss   0.0008, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:36 Iteration 00176800, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:36 Iteration 00176900, loss   0.0048, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:37 Iteration 00177000, loss   0.0027, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:37 Evaluating..
2020-01-30 04:39 Predicted for 2001 examples.
2020-01-30 04:39 Done predicting in 95.92429971694946 seconds.
2020-01-30 04:39   Evaluation Accuracy: 99.55 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 04:39 Iteration 00177100, loss   0.0049, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:40 Iteration 00177200, loss   0.0050, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:40 Iteration 00177300, loss   0.0036, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:41 Iteration 00177400, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:42 Iteration 00177500, loss   0.0038, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:42 Iteration 00177600, loss   0.0032, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:43 Iteration 00177700, loss   0.0057, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:44 Iteration 00177800, loss   0.0041, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:44 Iteration 00177900, loss   0.0032, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:45 Iteration 00178000, loss   0.0092, accuracy 99.79, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:45 Evaluating..
2020-01-30 04:47 Predicted for 2001 examples.
2020-01-30 04:47 Done predicting in 95.63383507728577 seconds.
2020-01-30 04:47   Evaluation Accuracy: 99.53 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 04:47 Iteration 00178100, loss   0.0036, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:48 Iteration 00178200, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:49 Iteration 00178300, loss   0.0019, accuracy 99.93, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:49 Iteration 00178400, loss   0.0029, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:50 Iteration 00178500, loss   0.0053, accuracy 99.80, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:50 Iteration 00178600, loss   0.0039, accuracy 99.84, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:51 Iteration 00178700, loss   0.0072, accuracy 99.78, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:52 Iteration 00178800, loss   0.0067, accuracy 99.86, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:52 Iteration 00178900, loss   0.0037, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:53 Iteration 00179000, loss   0.0046, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:53 Evaluating..
2020-01-30 04:55 Predicted for 2001 examples.
2020-01-30 04:55 Done predicting in 95.50912284851074 seconds.
2020-01-30 04:55   Evaluation Accuracy: 99.54 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 04:55 Iteration 00179100, loss   0.0049, accuracy 99.85, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:56 Iteration 00179200, loss   0.0069, accuracy 99.74, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:57 Iteration 00179300, loss   0.0091, accuracy 99.70, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:57 Iteration 00179400, loss   0.0012, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:58 Iteration 00179500, loss   0.0037, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:58 Iteration 00179600, loss   0.0051, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 04:59 Iteration 00179700, loss   0.0051, accuracy 99.80, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:00 Iteration 00179800, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:00 Iteration 00179900, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:01 Iteration 00180000, loss   0.0068, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:01 Evaluating..
2020-01-30 05:03 Predicted for 2001 examples.
2020-01-30 05:03 Done predicting in 95.51883935928345 seconds.
2020-01-30 05:03   Evaluation Accuracy: 99.56 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 05:03 Iteration 00180100, loss   0.0029, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:04 Iteration 00180200, loss   0.0070, accuracy 99.82, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:05 Iteration 00180300, loss   0.0040, accuracy 99.89, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:05 Iteration 00180400, loss   0.0042, accuracy 99.80, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:06 Iteration 00180500, loss   0.0046, accuracy 99.83, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:06 Iteration 00180600, loss   0.0025, accuracy 99.88, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:07 Iteration 00180700, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:08 Iteration 00180800, loss   0.0034, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:08 Iteration 00180900, loss   0.0153, accuracy 99.67, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:09 Iteration 00181000, loss   0.0021, accuracy 99.96, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:09 Evaluating..
2020-01-30 05:11 Predicted for 2001 examples.
2020-01-30 05:11 Done predicting in 95.95379114151001 seconds.
2020-01-30 05:11   Evaluation Accuracy: 99.63 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 05:11 Iteration 00181100, loss   0.0043, accuracy 99.90, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-01-30 05:12 Iteration 00181200, loss   0.0030, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:13 Iteration 00181300, loss   0.0046, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:13 Iteration 00181400, loss   0.0048, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:14 Iteration 00181500, loss   0.0024, accuracy 99.97, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:15 Iteration 00181600, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:15 Iteration 00181700, loss   0.0027, accuracy 99.87, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:16 Iteration 00181800, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:17 Iteration 00181900, loss   0.0042, accuracy 99.87, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:17 Iteration 00182000, loss   0.0042, accuracy 99.85, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:17 Evaluating..
2020-01-30 05:19 Predicted for 2001 examples.
2020-01-30 05:19 Done predicting in 96.07661986351013 seconds.
2020-01-30 05:19   Evaluation Accuracy: 99.55 Exact Match: 98.55  Target Accuracy:  0.00
2020-01-30 05:19 Iteration 00182100, loss   0.0040, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:20 Iteration 00182200, loss   0.0035, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:21 Iteration 00182300, loss   0.0103, accuracy 99.70, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:21 Iteration 00182400, loss   0.0019, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:22 Iteration 00182500, loss   0.0026, accuracy 99.88, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:23 Iteration 00182600, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:23 Iteration 00182700, loss   0.0134, accuracy 99.64, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:24 Iteration 00182800, loss   0.0082, accuracy 99.80, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:25 Iteration 00182900, loss   0.0051, accuracy 99.78, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:25 Iteration 00183000, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:25 Evaluating..
2020-01-30 05:27 Predicted for 2001 examples.
2020-01-30 05:27 Done predicting in 95.91476845741272 seconds.
2020-01-30 05:27   Evaluation Accuracy: 99.54 Exact Match: 98.30  Target Accuracy:  0.00
2020-01-30 05:28 Iteration 00183100, loss   0.0033, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:28 Iteration 00183200, loss   0.0043, accuracy 99.84, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:29 Iteration 00183300, loss   0.0066, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:30 Iteration 00183400, loss   0.0056, accuracy 99.82, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:30 Iteration 00183500, loss   0.0050, accuracy 99.78, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:31 Iteration 00183600, loss   0.0051, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:31 Iteration 00183700, loss   0.0061, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:32 Iteration 00183800, loss   0.0045, accuracy 99.77, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:33 Iteration 00183900, loss   0.0039, accuracy 99.87, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:33 Iteration 00184000, loss   0.0027, accuracy 99.90, exact match 98.60, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:33 Evaluating..
2020-01-30 05:35 Predicted for 2001 examples.
2020-01-30 05:35 Done predicting in 95.8520119190216 seconds.
2020-01-30 05:35   Evaluation Accuracy: 99.58 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 05:36 Iteration 00184100, loss   0.0089, accuracy 99.67, exact match 96.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:36 Iteration 00184200, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:37 Iteration 00184300, loss   0.0066, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:38 Iteration 00184400, loss   0.0033, accuracy 99.88, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:38 Iteration 00184500, loss   0.0038, accuracy 99.90, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:39 Iteration 00184600, loss   0.0062, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:40 Iteration 00184700, loss   0.0037, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:40 Iteration 00184800, loss   0.0017, accuracy 99.96, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:41 Iteration 00184900, loss   0.0072, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:42 Iteration 00185000, loss   0.0124, accuracy 99.68, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:42 Evaluating..
2020-01-30 05:43 Predicted for 2001 examples.
2020-01-30 05:43 Done predicting in 95.81625556945801 seconds.
2020-01-30 05:43   Evaluation Accuracy: 99.58 Exact Match: 98.70  Target Accuracy:  0.00
2020-01-30 05:44 Iteration 00185100, loss   0.0105, accuracy 99.87, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:44 Iteration 00185200, loss   0.0032, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:45 Iteration 00185300, loss   0.0052, accuracy 99.89, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:46 Iteration 00185400, loss   0.0010, accuracy 100.00, exact match 100.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:46 Iteration 00185500, loss   0.0041, accuracy 99.87, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:47 Iteration 00185600, loss   0.0018, accuracy 99.97, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:48 Iteration 00185700, loss   0.0082, accuracy 99.79, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:48 Iteration 00185800, loss   0.0061, accuracy 99.81, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:49 Iteration 00185900, loss   0.0068, accuracy 99.83, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:50 Iteration 00186000, loss   0.0031, accuracy 99.93, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:50 Evaluating..
2020-01-30 05:51 Predicted for 2001 examples.
2020-01-30 05:51 Done predicting in 95.97115230560303 seconds.
2020-01-30 05:51   Evaluation Accuracy: 99.52 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 05:52 Iteration 00186100, loss   0.0027, accuracy 99.86, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-01-30 05:53 Iteration 00186200, loss   0.0026, accuracy 99.84, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:53 Iteration 00186300, loss   0.0093, accuracy 99.75, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:54 Iteration 00186400, loss   0.0035, accuracy 99.88, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:54 Iteration 00186500, loss   0.0036, accuracy 99.85, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:55 Iteration 00186600, loss   0.0073, accuracy 99.72, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:56 Iteration 00186700, loss   0.0024, accuracy 99.87, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:57 Iteration 00186800, loss   0.0072, accuracy 99.78, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:57 Iteration 00186900, loss   0.0040, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:58 Iteration 00187000, loss   0.0045, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 05:58 Evaluating..
2020-01-30 06:00 Predicted for 2001 examples.
2020-01-30 06:00 Done predicting in 101.0314347743988 seconds.
2020-01-30 06:00   Evaluation Accuracy: 99.49 Exact Match: 98.35  Target Accuracy:  0.00
2020-01-30 06:00 Iteration 00187100, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:01 Iteration 00187200, loss   0.0033, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:02 Iteration 00187300, loss   0.0024, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:02 Iteration 00187400, loss   0.0039, accuracy 99.84, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:03 Iteration 00187500, loss   0.0022, accuracy 99.92, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:04 Iteration 00187600, loss   0.0089, accuracy 99.71, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:04 Iteration 00187700, loss   0.0031, accuracy 99.88, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:05 Iteration 00187800, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:06 Iteration 00187900, loss   0.0030, accuracy 99.87, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:06 Iteration 00188000, loss   0.0018, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:06 Evaluating..
2020-01-30 06:08 Predicted for 2001 examples.
2020-01-30 06:08 Done predicting in 100.96037697792053 seconds.
2020-01-30 06:08   Evaluation Accuracy: 99.58 Exact Match: 98.70  Target Accuracy:  0.00
2020-01-30 06:09 Iteration 00188100, loss   0.0058, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:09 Iteration 00188200, loss   0.0053, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:10 Iteration 00188300, loss   0.0034, accuracy 99.85, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:11 Iteration 00188400, loss   0.0032, accuracy 99.88, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:11 Iteration 00188500, loss   0.0038, accuracy 99.87, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:12 Iteration 00188600, loss   0.0027, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:13 Iteration 00188700, loss   0.0066, accuracy 99.81, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:13 Iteration 00188800, loss   0.0018, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:14 Iteration 00188900, loss   0.0049, accuracy 99.83, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:15 Iteration 00189000, loss   0.0046, accuracy 99.80, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:15 Evaluating..
2020-01-30 06:16 Predicted for 2001 examples.
2020-01-30 06:16 Done predicting in 100.81092762947083 seconds.
2020-01-30 06:16   Evaluation Accuracy: 99.64 Exact Match: 98.95  Target Accuracy:  0.00
2020-01-30 06:17 Iteration 00189100, loss   0.0063, accuracy 99.73, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:18 Iteration 00189200, loss   0.0098, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:18 Iteration 00189300, loss   0.0060, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:19 Iteration 00189400, loss   0.0043, accuracy 99.82, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:20 Iteration 00189500, loss   0.0039, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:20 Iteration 00189600, loss   0.0023, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:21 Iteration 00189700, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:22 Iteration 00189800, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:23 Iteration 00189900, loss   0.0026, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:23 Iteration 00190000, loss   0.0037, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:23 Evaluating..
2020-01-30 06:25 Predicted for 2001 examples.
2020-01-30 06:25 Done predicting in 101.22277855873108 seconds.
2020-01-30 06:25   Evaluation Accuracy: 99.54 Exact Match: 98.60  Target Accuracy:  0.00
2020-01-30 06:26 Iteration 00190100, loss   0.0014, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:26 Iteration 00190200, loss   0.0073, accuracy 99.80, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:27 Iteration 00190300, loss   0.0043, accuracy 99.90, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:28 Iteration 00190400, loss   0.0015, accuracy 99.97, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:28 Iteration 00190500, loss   0.0030, accuracy 99.86, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:29 Iteration 00190600, loss   0.0031, accuracy 99.84, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:30 Iteration 00190700, loss   0.0036, accuracy 99.85, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:30 Iteration 00190800, loss   0.0051, accuracy 99.79, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:31 Iteration 00190900, loss   0.0047, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:32 Iteration 00191000, loss   0.0020, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:32 Evaluating..
2020-01-30 06:33 Predicted for 2001 examples.
2020-01-30 06:33 Done predicting in 100.31114649772644 seconds.
2020-01-30 06:33   Evaluation Accuracy: 99.61 Exact Match: 98.70  Target Accuracy:  0.00
2020-01-30 06:34 Iteration 00191100, loss   0.0020, accuracy 99.93, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:35 Iteration 00191200, loss   0.0018, accuracy 99.96, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:35 Iteration 00191300, loss   0.0058, accuracy 99.89, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-01-30 06:36 Iteration 00191400, loss   0.0027, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:37 Iteration 00191500, loss   0.0021, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:37 Iteration 00191600, loss   0.0027, accuracy 99.92, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:38 Iteration 00191700, loss   0.0007, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:39 Iteration 00191800, loss   0.0031, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:39 Iteration 00191900, loss   0.0047, accuracy 99.88, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:40 Iteration 00192000, loss   0.0040, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:40 Evaluating..
2020-01-30 06:42 Predicted for 2001 examples.
2020-01-30 06:42 Done predicting in 100.56995964050293 seconds.
2020-01-30 06:42   Evaluation Accuracy: 99.46 Exact Match: 98.40  Target Accuracy:  0.00
2020-01-30 06:42 Iteration 00192100, loss   0.0053, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:43 Iteration 00192200, loss   0.0026, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:44 Iteration 00192300, loss   0.0053, accuracy 99.77, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:44 Iteration 00192400, loss   0.0058, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:45 Iteration 00192500, loss   0.0031, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:46 Iteration 00192600, loss   0.0022, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:46 Iteration 00192700, loss   0.0083, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:47 Iteration 00192800, loss   0.0025, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:48 Iteration 00192900, loss   0.0045, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:48 Iteration 00193000, loss   0.0034, accuracy 99.89, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:48 Evaluating..
2020-01-30 06:50 Predicted for 2001 examples.
2020-01-30 06:50 Done predicting in 101.40527319908142 seconds.
2020-01-30 06:50   Evaluation Accuracy: 99.63 Exact Match: 98.60  Target Accuracy:  0.00
2020-01-30 06:51 Iteration 00193100, loss   0.0056, accuracy 99.76, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:51 Iteration 00193200, loss   0.0019, accuracy 99.96, exact match 99.30, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:52 Iteration 00193300, loss   0.0054, accuracy 99.79, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:53 Iteration 00193400, loss   0.0048, accuracy 99.84, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:54 Iteration 00193500, loss   0.0017, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:54 Iteration 00193600, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:55 Iteration 00193700, loss   0.0036, accuracy 99.81, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:56 Iteration 00193800, loss   0.0046, accuracy 99.88, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:56 Iteration 00193900, loss   0.0042, accuracy 99.85, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:57 Iteration 00194000, loss   0.0028, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 06:57 Evaluating..
2020-01-30 06:59 Predicted for 2001 examples.
2020-01-30 06:59 Done predicting in 100.88959383964539 seconds.
2020-01-30 06:59   Evaluation Accuracy: 99.51 Exact Match: 98.60  Target Accuracy:  0.00
2020-01-30 06:59 Iteration 00194100, loss   0.0015, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:00 Iteration 00194200, loss   0.0034, accuracy 99.94, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:01 Iteration 00194300, loss   0.0039, accuracy 99.85, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:01 Iteration 00194400, loss   0.0052, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:02 Iteration 00194500, loss   0.0041, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:03 Iteration 00194600, loss   0.0035, accuracy 99.88, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:03 Iteration 00194700, loss   0.0076, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:04 Iteration 00194800, loss   0.0044, accuracy 99.86, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:05 Iteration 00194900, loss   0.0092, accuracy 99.67, exact match 95.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:05 Iteration 00195000, loss   0.0036, accuracy 99.84, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:05 Evaluating..
2020-01-30 07:07 Predicted for 2001 examples.
2020-01-30 07:07 Done predicting in 100.53116774559021 seconds.
2020-01-30 07:07   Evaluation Accuracy: 99.61 Exact Match: 98.70  Target Accuracy:  0.00
2020-01-30 07:08 Iteration 00195100, loss   0.0042, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:08 Iteration 00195200, loss   0.0052, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:09 Iteration 00195300, loss   0.0042, accuracy 99.78, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:10 Iteration 00195400, loss   0.0184, accuracy 99.75, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:10 Iteration 00195500, loss   0.0033, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:11 Iteration 00195600, loss   0.0019, accuracy 99.90, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:12 Iteration 00195700, loss   0.0016, accuracy 99.96, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:12 Iteration 00195800, loss   0.0066, accuracy 99.82, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:13 Iteration 00195900, loss   0.0050, accuracy 99.85, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:14 Iteration 00196000, loss   0.0012, accuracy 100.00, exact match 100.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:14 Evaluating..
2020-01-30 07:15 Predicted for 2001 examples.
2020-01-30 07:15 Done predicting in 100.33328366279602 seconds.
2020-01-30 07:15   Evaluation Accuracy: 99.56 Exact Match: 98.45  Target Accuracy:  0.00
2020-01-30 07:16 Iteration 00196100, loss   0.0020, accuracy 99.93, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:17 Iteration 00196200, loss   0.0053, accuracy 99.67, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:17 Iteration 00196300, loss   0.0027, accuracy 99.85, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:18 Iteration 00196400, loss   0.0060, accuracy 99.87, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:19 Iteration 00196500, loss   0.0066, accuracy 99.83, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-01-30 07:19 Iteration 00196600, loss   0.0061, accuracy 99.76, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:20 Iteration 00196700, loss   0.0045, accuracy 99.87, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:21 Iteration 00196800, loss   0.0203, accuracy 99.70, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:22 Iteration 00196900, loss   0.0019, accuracy 99.96, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:22 Iteration 00197000, loss   0.0033, accuracy 99.90, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:22 Evaluating..
2020-01-30 07:24 Predicted for 2001 examples.
2020-01-30 07:24 Done predicting in 102.06525230407715 seconds.
2020-01-30 07:24   Evaluation Accuracy: 99.58 Exact Match: 98.50  Target Accuracy:  0.00
2020-01-30 07:25 Iteration 00197100, loss   0.0032, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:25 Iteration 00197200, loss   0.0041, accuracy 99.84, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:26 Iteration 00197300, loss   0.0038, accuracy 99.86, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:27 Iteration 00197400, loss   0.0057, accuracy 99.76, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:27 Iteration 00197500, loss   0.0050, accuracy 99.83, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:28 Iteration 00197600, loss   0.0036, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:29 Iteration 00197700, loss   0.0012, accuracy 99.96, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:29 Iteration 00197800, loss   0.0038, accuracy 99.80, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:30 Iteration 00197900, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:31 Iteration 00198000, loss   0.0046, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:31 Evaluating..
2020-01-30 07:32 Predicted for 2001 examples.
2020-01-30 07:32 Done predicting in 100.60751342773438 seconds.
2020-01-30 07:32   Evaluation Accuracy: 99.63 Exact Match: 98.80  Target Accuracy:  0.00
2020-01-30 07:33 Iteration 00198100, loss   0.0050, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:34 Iteration 00198200, loss   0.0037, accuracy 99.84, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:34 Iteration 00198300, loss   0.0048, accuracy 99.86, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:35 Iteration 00198400, loss   0.0077, accuracy 99.73, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:36 Iteration 00198500, loss   0.0056, accuracy 99.79, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:36 Iteration 00198600, loss   0.0032, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:37 Iteration 00198700, loss   0.0046, accuracy 99.83, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:38 Iteration 00198800, loss   0.0042, accuracy 99.80, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:38 Iteration 00198900, loss   0.0039, accuracy 99.86, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:39 Iteration 00199000, loss   0.0023, accuracy 99.93, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:39 Evaluating..
2020-01-30 07:41 Predicted for 2001 examples.
2020-01-30 07:41 Done predicting in 101.13411211967468 seconds.
2020-01-30 07:41   Evaluation Accuracy: 99.54 Exact Match: 98.65  Target Accuracy:  0.00
2020-01-30 07:41 Iteration 00199100, loss   0.0041, accuracy 99.87, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:42 Iteration 00199200, loss   0.0052, accuracy 99.79, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:43 Iteration 00199300, loss   0.0074, accuracy 99.72, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:43 Iteration 00199400, loss   0.0028, accuracy 99.90, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:44 Iteration 00199500, loss   0.0014, accuracy 100.00, exact match 100.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:45 Iteration 00199600, loss   0.0036, accuracy 99.96, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:45 Iteration 00199700, loss   0.0028, accuracy 99.82, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:46 Iteration 00199800, loss   0.0070, accuracy 99.75, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:47 Iteration 00199900, loss   0.0033, accuracy 99.89, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:47 Iteration 00200000, loss   0.0036, accuracy 99.78, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-01-30 07:47 Evaluating..
2020-01-30 07:49 Predicted for 2001 examples.
2020-01-30 07:49 Done predicting in 101.28218054771423 seconds.
2020-01-30 07:49   Evaluation Accuracy: 99.64 Exact Match: 98.95  Target Accuracy:  0.00
2020-01-30 07:49 Finished training.
