2020-02-03 16:07 Using CUDA.
2020-02-03 16:07 Cuda version: 10.1.243
2020-02-03 16:07 mode: train
2020-02-03 16:07 output_directory: target_lengths_run_3
2020-02-03 16:07 resume_from_file: 
2020-02-03 16:07 split: test
2020-02-03 16:07 data_directory: data/target_length_split
2020-02-03 16:07 input_vocab_path: training_input_vocab.txt
2020-02-03 16:07 target_vocab_path: training_target_vocab.txt
2020-02-03 16:07 generate_vocabularies: False
2020-02-03 16:07 training_batch_size: 200
2020-02-03 16:07 k: 0
2020-02-03 16:07 test_batch_size: 1
2020-02-03 16:07 max_training_examples: None
2020-02-03 16:07 learning_rate: 0.001
2020-02-03 16:07 lr_decay: 0.9
2020-02-03 16:07 lr_decay_steps: 20000
2020-02-03 16:07 adam_beta_1: 0.9
2020-02-03 16:07 adam_beta_2: 0.999
2020-02-03 16:07 print_every: 100
2020-02-03 16:07 evaluate_every: 1000
2020-02-03 16:07 max_training_iterations: 200000
2020-02-03 16:07 weight_target_loss: 0.3
2020-02-03 16:07 max_testing_examples: 2000
2020-02-03 16:07 splits: test
2020-02-03 16:07 max_decoding_steps: 120
2020-02-03 16:07 output_file_name: predict.json
2020-02-03 16:07 simple_situation_representation: True
2020-02-03 16:07 cnn_hidden_num_channels: 50
2020-02-03 16:07 cnn_kernel_size: 13
2020-02-03 16:07 cnn_dropout_p: 0.1
2020-02-03 16:07 auxiliary_task: False
2020-02-03 16:07 embedding_dimension: 25
2020-02-03 16:07 num_encoder_layers: 1
2020-02-03 16:07 encoder_hidden_size: 100
2020-02-03 16:07 encoder_dropout_p: 0.3
2020-02-03 16:07 encoder_bidirectional: True
2020-02-03 16:07 num_decoder_layers: 1
2020-02-03 16:07 attention_type: bahdanau
2020-02-03 16:07 decoder_dropout_p: 0.3
2020-02-03 16:07 decoder_hidden_size: 100
2020-02-03 16:07 conditional_attention: True
2020-02-03 16:07 seed: 126
2020-02-03 16:07 Loading Training set...
2020-02-03 16:08 Verb-adverb combinations in training set: 
2020-02-03 16:08 Verbs for adverb: 
2020-02-03 16:08    walk: 81562 occurrences.
2020-02-03 16:08    push: 63447 occurrences.
2020-02-03 16:08    pull: 35292 occurrences.
2020-02-03 16:08 Verb-adverb combinations in dev set: 
2020-02-03 16:08 Verbs for adverb: 
2020-02-03 16:08    push: 706 occurrences.
2020-02-03 16:08    pull: 348 occurrences.
2020-02-03 16:08    walk: 767 occurrences.
2020-02-03 16:08 Loading vocabularies...
2020-02-03 16:08 Done loading vocabularies.
2020-02-03 16:08 Converting dataset to tensors...
2020-02-03 16:24 Done Loading Training set.
2020-02-03 16:24   Loaded 180301 training examples.
2020-02-03 16:24   Input vocabulary size training set: 17
2020-02-03 16:24   Most common input words: [('a', 180301), ('walk', 81562), ('to', 81562), ('push', 63447), ('circle', 60161)]
2020-02-03 16:24   Output vocabulary size training set: 8
2020-02-03 16:24   Most common target words: [('walk', 1146271), ('turn left', 193667), ('push', 164112), ('pull', 156127), ('turn right', 68849)]
2020-02-03 16:24 Loading Test set...
2020-02-03 16:25 Verb-adverb combinations in training set: 
2020-02-03 16:25 Verbs for adverb: 
2020-02-03 16:25    walk: 81562 occurrences.
2020-02-03 16:25    push: 63447 occurrences.
2020-02-03 16:25    pull: 35292 occurrences.
2020-02-03 16:25 Verb-adverb combinations in dev set: 
2020-02-03 16:25 Verbs for adverb: 
2020-02-03 16:25    push: 706 occurrences.
2020-02-03 16:25    pull: 348 occurrences.
2020-02-03 16:25    walk: 767 occurrences.
2020-02-03 16:25 Loading vocabularies...
2020-02-03 16:25 Done loading vocabularies.
2020-02-03 16:25 Converting dataset to tensors...
2020-02-03 16:26 Done Loading Test set.
2020-02-03 16:26 Total parameters: 535975
2020-02-03 16:26 situation_encoder.conv_1.weight : [50, 16, 1, 1]
2020-02-03 16:26 situation_encoder.conv_1.bias : [50]
2020-02-03 16:26 situation_encoder.conv_2.weight : [50, 16, 5, 5]
2020-02-03 16:26 situation_encoder.conv_2.bias : [50]
2020-02-03 16:26 situation_encoder.conv_3.weight : [50, 16, 13, 13]
2020-02-03 16:26 situation_encoder.conv_3.bias : [50]
2020-02-03 16:26 visual_attention.key_layer.weight : [100, 150]
2020-02-03 16:26 visual_attention.query_layer.weight : [100, 100]
2020-02-03 16:26 visual_attention.energy_layer.weight : [1, 100]
2020-02-03 16:26 encoder.embedding.weight : [17, 25]
2020-02-03 16:26 encoder.lstm.weight_ih_l0 : [400, 25]
2020-02-03 16:26 encoder.lstm.weight_hh_l0 : [400, 100]
2020-02-03 16:26 encoder.lstm.bias_ih_l0 : [400]
2020-02-03 16:26 encoder.lstm.bias_hh_l0 : [400]
2020-02-03 16:26 encoder.lstm.weight_ih_l0_reverse : [400, 25]
2020-02-03 16:26 encoder.lstm.weight_hh_l0_reverse : [400, 100]
2020-02-03 16:26 encoder.lstm.bias_ih_l0_reverse : [400]
2020-02-03 16:26 encoder.lstm.bias_hh_l0_reverse : [400]
2020-02-03 16:26 enc_hidden_to_dec_hidden.weight : [100, 100]
2020-02-03 16:26 enc_hidden_to_dec_hidden.bias : [100]
2020-02-03 16:26 textual_attention.key_layer.weight : [100, 100]
2020-02-03 16:26 textual_attention.query_layer.weight : [100, 100]
2020-02-03 16:26 textual_attention.energy_layer.weight : [1, 100]
2020-02-03 16:26 attention_decoder.queries_to_keys.weight : [100, 200]
2020-02-03 16:26 attention_decoder.queries_to_keys.bias : [100]
2020-02-03 16:26 attention_decoder.embedding.weight : [8, 100]
2020-02-03 16:26 attention_decoder.lstm.weight_ih_l0 : [400, 300]
2020-02-03 16:26 attention_decoder.lstm.weight_hh_l0 : [400, 100]
2020-02-03 16:26 attention_decoder.lstm.bias_ih_l0 : [400]
2020-02-03 16:26 attention_decoder.lstm.bias_hh_l0 : [400]
2020-02-03 16:26 attention_decoder.output_to_hidden.weight : [100, 400]
2020-02-03 16:26 attention_decoder.hidden_to_output.weight : [8, 100]
2020-02-03 16:26 Training starts..
2020-02-03 16:26 Iteration 00000100, loss   0.6628, accuracy 76.55, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:26 Iteration 00000200, loss   0.5908, accuracy 77.69, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:27 Iteration 00000300, loss   0.5736, accuracy 79.04, exact match  0.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:27 Iteration 00000400, loss   0.5627, accuracy 78.28, exact match  0.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:27 Iteration 00000500, loss   0.5361, accuracy 78.32, exact match  2.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:28 Iteration 00000600, loss   0.5247, accuracy 79.68, exact match  2.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:28 Iteration 00000700, loss   0.5292, accuracy 79.07, exact match  4.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:28 Iteration 00000800, loss   0.5045, accuracy 80.64, exact match  3.00, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:29 Iteration 00000900, loss   0.4861, accuracy 80.92, exact match  5.50, learning_rate 0.00100, aux. accuracy target pos  0.00
2020-02-03 16:29 Iteration 00001000, loss   0.4663, accuracy 81.72, exact match  2.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:29 Evaluating..
2020-02-03 16:31 Predicted for 1821 examples.
2020-02-03 16:31 Done predicting in 97.92161631584167 seconds.
2020-02-03 16:31   Evaluation Accuracy: 54.54 Exact Match:  5.82  Target Accuracy:  0.00
2020-02-03 16:31 Iteration 00001100, loss   0.4748, accuracy 80.79, exact match  4.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:31 Iteration 00001200, loss   0.4728, accuracy 80.40, exact match  8.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:32 Iteration 00001300, loss   0.4499, accuracy 82.04, exact match  6.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:32 Iteration 00001400, loss   0.4507, accuracy 81.52, exact match  5.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:32 Iteration 00001500, loss   0.4285, accuracy 80.91, exact match  6.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:33 Iteration 00001600, loss   0.4324, accuracy 82.38, exact match  6.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:33 Iteration 00001700, loss   0.4484, accuracy 80.65, exact match  5.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:33 Iteration 00001800, loss   0.3886, accuracy 83.76, exact match  6.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:34 Iteration 00001900, loss   0.4003, accuracy 82.70, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:34 Iteration 00002000, loss   0.3939, accuracy 84.09, exact match 11.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:34 Evaluating..
2020-02-03 16:36 Predicted for 1821 examples.
2020-02-03 16:36 Done predicting in 94.42174863815308 seconds.
2020-02-03 16:36   Evaluation Accuracy: 58.71 Exact Match: 10.43  Target Accuracy:  0.00
2020-02-03 16:36 Iteration 00002100, loss   0.3862, accuracy 84.40, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:36 Iteration 00002200, loss   0.4191, accuracy 82.50, exact match  9.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:37 Iteration 00002300, loss   0.3815, accuracy 84.70, exact match 10.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:37 Iteration 00002400, loss   0.3843, accuracy 83.57, exact match 12.00, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:37 Iteration 00002500, loss   0.3626, accuracy 84.82, exact match 13.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:38 Iteration 00002600, loss   0.3569, accuracy 85.38, exact match 13.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:38 Iteration 00002700, loss   0.3477, accuracy 85.05, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:39 Iteration 00002800, loss   0.3574, accuracy 84.51, exact match 12.50, learning_rate 0.00099, aux. accuracy target pos  0.00
2020-02-03 16:39 Iteration 00002900, loss   0.3684, accuracy 85.11, exact match 14.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:39 Iteration 00003000, loss   0.3833, accuracy 85.03, exact match 11.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:39 Evaluating..
2020-02-03 16:41 Predicted for 1821 examples.
2020-02-03 16:41 Done predicting in 89.34082078933716 seconds.
2020-02-03 16:41   Evaluation Accuracy: 60.00 Exact Match: 14.77  Target Accuracy:  0.00
2020-02-03 16:41 Iteration 00003100, loss   0.3159, accuracy 86.67, exact match 17.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:41 Iteration 00003200, loss   0.3490, accuracy 86.01, exact match 17.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:42 Iteration 00003300, loss   0.3274, accuracy 86.24, exact match 21.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:42 Iteration 00003400, loss   0.3308, accuracy 86.64, exact match 14.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:42 Iteration 00003500, loss   0.3268, accuracy 85.78, exact match 21.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:43 Iteration 00003600, loss   0.3385, accuracy 85.99, exact match 18.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:43 Iteration 00003700, loss   0.3311, accuracy 86.06, exact match 17.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:43 Iteration 00003800, loss   0.3224, accuracy 86.11, exact match 19.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:44 Iteration 00003900, loss   0.3386, accuracy 85.88, exact match 20.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:44 Iteration 00004000, loss   0.3380, accuracy 85.54, exact match 15.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:44 Evaluating..
2020-02-03 16:46 Predicted for 1821 examples.
2020-02-03 16:46 Done predicting in 84.95332884788513 seconds.
2020-02-03 16:46   Evaluation Accuracy: 62.34 Exact Match: 19.55  Target Accuracy:  0.00
2020-02-03 16:46 Iteration 00004100, loss   0.3249, accuracy 86.32, exact match 18.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:46 Iteration 00004200, loss   0.3076, accuracy 87.24, exact match 21.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:47 Iteration 00004300, loss   0.3077, accuracy 86.26, exact match 13.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:47 Iteration 00004400, loss   0.3133, accuracy 86.48, exact match 22.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:47 Iteration 00004500, loss   0.3236, accuracy 85.23, exact match 14.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:48 Iteration 00004600, loss   0.2999, accuracy 87.36, exact match 28.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:48 Iteration 00004700, loss   0.3023, accuracy 87.77, exact match 20.50, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:48 Iteration 00004800, loss   0.2956, accuracy 86.93, exact match 18.00, learning_rate 0.00098, aux. accuracy target pos  0.00
2020-02-03 16:49 Iteration 00004900, loss   0.3089, accuracy 86.78, exact match 20.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:49 Iteration 00005000, loss   0.3027, accuracy 87.70, exact match 18.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:49 Evaluating..
2020-02-03 16:50 Predicted for 1821 examples.
2020-02-03 16:50 Done predicting in 84.62473607063293 seconds.
2020-02-03 16:50   Evaluation Accuracy: 62.93 Exact Match: 22.79  Target Accuracy:  0.00
2020-02-03 16:51 Iteration 00005100, loss   0.3177, accuracy 86.52, exact match 18.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:51 Iteration 00005200, loss   0.2984, accuracy 87.96, exact match 21.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:51 Iteration 00005300, loss   0.3040, accuracy 87.04, exact match 19.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:52 Iteration 00005400, loss   0.2836, accuracy 87.87, exact match 25.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:52 Iteration 00005500, loss   0.2996, accuracy 86.94, exact match 20.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:52 Iteration 00005600, loss   0.3118, accuracy 87.13, exact match 20.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:53 Iteration 00005700, loss   0.2931, accuracy 88.28, exact match 22.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:53 Iteration 00005800, loss   0.2837, accuracy 87.84, exact match 23.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:53 Iteration 00005900, loss   0.2912, accuracy 87.20, exact match 21.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:54 Iteration 00006000, loss   0.2582, accuracy 89.00, exact match 23.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:54 Evaluating..
2020-02-03 16:55 Predicted for 1821 examples.
2020-02-03 16:55 Done predicting in 81.46377801895142 seconds.
2020-02-03 16:55   Evaluation Accuracy: 63.36 Exact Match: 24.49  Target Accuracy:  0.00
2020-02-03 16:55 Iteration 00006100, loss   0.2916, accuracy 88.53, exact match 25.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:56 Iteration 00006200, loss   0.2837, accuracy 87.56, exact match 23.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:56 Iteration 00006300, loss   0.2703, accuracy 88.68, exact match 29.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:57 Iteration 00006400, loss   0.3004, accuracy 86.88, exact match 22.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:57 Iteration 00006500, loss   0.2756, accuracy 88.24, exact match 26.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:57 Iteration 00006600, loss   0.2591, accuracy 89.34, exact match 28.50, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:58 Iteration 00006700, loss   0.2922, accuracy 88.08, exact match 22.00, learning_rate 0.00097, aux. accuracy target pos  0.00
2020-02-03 16:58 Iteration 00006800, loss   0.2686, accuracy 88.32, exact match 24.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 16:58 Iteration 00006900, loss   0.2566, accuracy 88.88, exact match 29.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 16:59 Iteration 00007000, loss   0.2671, accuracy 88.84, exact match 23.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 16:59 Evaluating..
2020-02-03 17:00 Predicted for 1821 examples.
2020-02-03 17:00 Done predicting in 81.60556960105896 seconds.
2020-02-03 17:00   Evaluation Accuracy: 63.88 Exact Match: 27.02  Target Accuracy:  0.00
2020-02-03 17:00 Iteration 00007100, loss   0.2629, accuracy 89.19, exact match 25.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:01 Iteration 00007200, loss   0.2653, accuracy 88.11, exact match 26.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:01 Iteration 00007300, loss   0.2746, accuracy 88.17, exact match 24.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:01 Iteration 00007400, loss   0.2764, accuracy 88.23, exact match 27.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:02 Iteration 00007500, loss   0.2616, accuracy 89.13, exact match 29.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:02 Iteration 00007600, loss   0.2567, accuracy 89.41, exact match 27.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:02 Iteration 00007700, loss   0.2787, accuracy 88.38, exact match 23.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:03 Iteration 00007800, loss   0.2754, accuracy 88.01, exact match 22.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:03 Iteration 00007900, loss   0.2405, accuracy 89.82, exact match 29.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:03 Iteration 00008000, loss   0.2686, accuracy 89.43, exact match 28.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:03 Evaluating..
2020-02-03 17:05 Predicted for 1821 examples.
2020-02-03 17:05 Done predicting in 83.58484292030334 seconds.
2020-02-03 17:05   Evaluation Accuracy: 64.08 Exact Match: 29.60  Target Accuracy:  0.00
2020-02-03 17:05 Iteration 00008100, loss   0.2388, accuracy 89.88, exact match 32.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:06 Iteration 00008200, loss   0.2458, accuracy 89.26, exact match 25.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:06 Iteration 00008300, loss   0.2658, accuracy 89.07, exact match 25.50, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:06 Iteration 00008400, loss   0.2462, accuracy 89.66, exact match 31.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:07 Iteration 00008500, loss   0.2557, accuracy 88.91, exact match 29.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:07 Iteration 00008600, loss   0.2565, accuracy 88.97, exact match 24.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:07 Iteration 00008700, loss   0.2425, accuracy 89.70, exact match 30.00, learning_rate 0.00096, aux. accuracy target pos  0.00
2020-02-03 17:08 Iteration 00008800, loss   0.2375, accuracy 90.19, exact match 35.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:08 Iteration 00008900, loss   0.2675, accuracy 88.53, exact match 25.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:08 Iteration 00009000, loss   0.2462, accuracy 90.23, exact match 29.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:08 Evaluating..
2020-02-03 17:10 Predicted for 1821 examples.
2020-02-03 17:10 Done predicting in 85.3412537574768 seconds.
2020-02-03 17:10   Evaluation Accuracy: 64.02 Exact Match: 29.87  Target Accuracy:  0.00
2020-02-03 17:10 Iteration 00009100, loss   0.2467, accuracy 90.22, exact match 33.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:11 Iteration 00009200, loss   0.2326, accuracy 90.17, exact match 26.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:11 Iteration 00009300, loss   0.2579, accuracy 89.35, exact match 30.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:11 Iteration 00009400, loss   0.2650, accuracy 88.67, exact match 29.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:12 Iteration 00009500, loss   0.2336, accuracy 89.90, exact match 31.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:12 Iteration 00009600, loss   0.2498, accuracy 88.67, exact match 23.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:12 Iteration 00009700, loss   0.2584, accuracy 88.99, exact match 27.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:13 Iteration 00009800, loss   0.2382, accuracy 90.42, exact match 34.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:13 Iteration 00009900, loss   0.2329, accuracy 90.88, exact match 37.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:13 Iteration 00010000, loss   0.2464, accuracy 89.27, exact match 30.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:13 Evaluating..
2020-02-03 17:15 Predicted for 1821 examples.
2020-02-03 17:15 Done predicting in 83.81144118309021 seconds.
2020-02-03 17:15   Evaluation Accuracy: 64.94 Exact Match: 31.25  Target Accuracy:  0.00
2020-02-03 17:15 Iteration 00010100, loss   0.2409, accuracy 90.20, exact match 27.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:16 Iteration 00010200, loss   0.2293, accuracy 89.96, exact match 31.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:16 Iteration 00010300, loss   0.2438, accuracy 89.48, exact match 27.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:16 Iteration 00010400, loss   0.2224, accuracy 90.53, exact match 31.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:17 Iteration 00010500, loss   0.2437, accuracy 89.80, exact match 29.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:17 Iteration 00010600, loss   0.2040, accuracy 91.72, exact match 38.00, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:17 Iteration 00010700, loss   0.2082, accuracy 91.00, exact match 38.50, learning_rate 0.00095, aux. accuracy target pos  0.00
2020-02-03 17:18 Iteration 00010800, loss   0.2549, accuracy 89.34, exact match 23.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:18 Iteration 00010900, loss   0.2096, accuracy 91.44, exact match 37.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:18 Iteration 00011000, loss   0.2348, accuracy 90.33, exact match 32.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:18 Evaluating..
2020-02-03 17:20 Predicted for 1821 examples.
2020-02-03 17:20 Done predicting in 77.85377240180969 seconds.
2020-02-03 17:20   Evaluation Accuracy: 65.04 Exact Match: 32.34  Target Accuracy:  0.00
2020-02-03 17:20 Iteration 00011100, loss   0.2404, accuracy 89.55, exact match 29.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:20 Iteration 00011200, loss   0.2211, accuracy 90.21, exact match 31.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:21 Iteration 00011300, loss   0.2147, accuracy 89.98, exact match 31.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:21 Iteration 00011400, loss   0.2237, accuracy 90.23, exact match 33.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:21 Iteration 00011500, loss   0.2221, accuracy 90.31, exact match 33.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:22 Iteration 00011600, loss   0.2349, accuracy 90.56, exact match 30.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:22 Iteration 00011700, loss   0.2366, accuracy 90.24, exact match 30.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:22 Iteration 00011800, loss   0.1917, accuracy 92.17, exact match 42.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:23 Iteration 00011900, loss   0.2377, accuracy 89.91, exact match 27.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:23 Iteration 00012000, loss   0.2148, accuracy 90.58, exact match 37.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:23 Evaluating..
2020-02-03 17:24 Predicted for 1821 examples.
2020-02-03 17:24 Done predicting in 80.07238006591797 seconds.
2020-02-03 17:24   Evaluation Accuracy: 65.27 Exact Match: 32.56  Target Accuracy:  0.00
2020-02-03 17:25 Iteration 00012100, loss   0.2291, accuracy 90.75, exact match 34.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:25 Iteration 00012200, loss   0.2151, accuracy 90.96, exact match 34.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:25 Iteration 00012300, loss   0.2273, accuracy 89.45, exact match 25.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:26 Iteration 00012400, loss   0.2088, accuracy 90.97, exact match 34.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:26 Iteration 00012500, loss   0.2278, accuracy 90.78, exact match 34.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:26 Iteration 00012600, loss   0.1978, accuracy 91.23, exact match 35.50, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:27 Iteration 00012700, loss   0.2025, accuracy 91.28, exact match 38.00, learning_rate 0.00094, aux. accuracy target pos  0.00
2020-02-03 17:27 Iteration 00012800, loss   0.2278, accuracy 90.47, exact match 32.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:27 Iteration 00012900, loss   0.2149, accuracy 91.10, exact match 35.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:28 Iteration 00013000, loss   0.2250, accuracy 90.50, exact match 30.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:28 Evaluating..
2020-02-03 17:29 Predicted for 1821 examples.
2020-02-03 17:29 Done predicting in 81.73897767066956 seconds.
2020-02-03 17:29   Evaluation Accuracy: 65.34 Exact Match: 32.02  Target Accuracy:  0.00
2020-02-03 17:29 Iteration 00013100, loss   0.2274, accuracy 90.98, exact match 34.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:30 Iteration 00013200, loss   0.2208, accuracy 90.67, exact match 35.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:30 Iteration 00013300, loss   0.1954, accuracy 91.48, exact match 35.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:30 Iteration 00013400, loss   0.2337, accuracy 89.82, exact match 29.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:31 Iteration 00013500, loss   0.2246, accuracy 90.04, exact match 32.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:31 Iteration 00013600, loss   0.2146, accuracy 90.73, exact match 31.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:31 Iteration 00013700, loss   0.2067, accuracy 90.80, exact match 34.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:32 Iteration 00013800, loss   0.2301, accuracy 89.97, exact match 28.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:32 Iteration 00013900, loss   0.2300, accuracy 90.30, exact match 32.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:33 Iteration 00014000, loss   0.2043, accuracy 91.54, exact match 36.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:33 Evaluating..
2020-02-03 17:34 Predicted for 1821 examples.
2020-02-03 17:34 Done predicting in 83.13880395889282 seconds.
2020-02-03 17:34   Evaluation Accuracy: 65.47 Exact Match: 31.96  Target Accuracy:  0.00
2020-02-03 17:34 Iteration 00014100, loss   0.2012, accuracy 91.47, exact match 41.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:35 Iteration 00014200, loss   0.2115, accuracy 91.36, exact match 34.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:35 Iteration 00014300, loss   0.2195, accuracy 91.48, exact match 35.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:35 Iteration 00014400, loss   0.2206, accuracy 90.42, exact match 39.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:36 Iteration 00014500, loss   0.2055, accuracy 91.41, exact match 35.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:36 Iteration 00014600, loss   0.2164, accuracy 90.43, exact match 32.00, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:36 Iteration 00014700, loss   0.1987, accuracy 91.51, exact match 35.50, learning_rate 0.00093, aux. accuracy target pos  0.00
2020-02-03 17:37 Iteration 00014800, loss   0.2032, accuracy 91.42, exact match 32.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:37 Iteration 00014900, loss   0.2160, accuracy 91.07, exact match 34.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:37 Iteration 00015000, loss   0.2190, accuracy 91.23, exact match 39.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:37 Evaluating..
2020-02-03 17:39 Predicted for 1821 examples.
2020-02-03 17:39 Done predicting in 82.85062861442566 seconds.
2020-02-03 17:39   Evaluation Accuracy: 65.84 Exact Match: 33.72  Target Accuracy:  0.00
2020-02-03 17:39 Iteration 00015100, loss   0.2307, accuracy 90.38, exact match 31.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:40 Iteration 00015200, loss   0.2195, accuracy 90.68, exact match 39.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:40 Iteration 00015300, loss   0.2235, accuracy 90.20, exact match 32.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:40 Iteration 00015400, loss   0.2114, accuracy 90.86, exact match 34.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:41 Iteration 00015500, loss   0.1930, accuracy 91.63, exact match 34.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:41 Iteration 00015600, loss   0.2052, accuracy 91.03, exact match 35.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:41 Iteration 00015700, loss   0.2210, accuracy 90.06, exact match 28.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:42 Iteration 00015800, loss   0.2133, accuracy 91.32, exact match 36.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:42 Iteration 00015900, loss   0.2069, accuracy 91.12, exact match 32.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:42 Iteration 00016000, loss   0.1984, accuracy 91.38, exact match 35.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:42 Evaluating..
2020-02-03 17:44 Predicted for 1821 examples.
2020-02-03 17:44 Done predicting in 85.7123281955719 seconds.
2020-02-03 17:44   Evaluation Accuracy: 66.09 Exact Match: 34.87  Target Accuracy:  0.00
2020-02-03 17:44 Iteration 00016100, loss   0.2169, accuracy 90.09, exact match 33.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:45 Iteration 00016200, loss   0.2132, accuracy 90.56, exact match 33.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:45 Iteration 00016300, loss   0.2215, accuracy 90.97, exact match 31.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:45 Iteration 00016400, loss   0.2170, accuracy 91.37, exact match 38.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:46 Iteration 00016500, loss   0.2143, accuracy 90.44, exact match 29.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:46 Iteration 00016600, loss   0.2118, accuracy 90.75, exact match 37.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:46 Iteration 00016700, loss   0.1904, accuracy 91.55, exact match 36.50, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:47 Iteration 00016800, loss   0.1885, accuracy 92.46, exact match 41.00, learning_rate 0.00092, aux. accuracy target pos  0.00
2020-02-03 17:47 Iteration 00016900, loss   0.2294, accuracy 90.42, exact match 33.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:47 Iteration 00017000, loss   0.1940, accuracy 91.31, exact match 38.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:47 Evaluating..
2020-02-03 17:49 Predicted for 1821 examples.
2020-02-03 17:49 Done predicting in 82.72445249557495 seconds.
2020-02-03 17:49   Evaluation Accuracy: 66.76 Exact Match: 35.64  Target Accuracy:  0.00
2020-02-03 17:49 Iteration 00017100, loss   0.2076, accuracy 90.99, exact match 35.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:49 Iteration 00017200, loss   0.2026, accuracy 91.46, exact match 39.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:50 Iteration 00017300, loss   0.2118, accuracy 91.20, exact match 33.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:50 Iteration 00017400, loss   0.2189, accuracy 90.78, exact match 32.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:50 Iteration 00017500, loss   0.2207, accuracy 90.22, exact match 26.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:51 Iteration 00017600, loss   0.1988, accuracy 91.49, exact match 32.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:51 Iteration 00017700, loss   0.2095, accuracy 91.40, exact match 37.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:52 Iteration 00017800, loss   0.2143, accuracy 90.84, exact match 31.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:52 Iteration 00017900, loss   0.2310, accuracy 89.80, exact match 31.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:52 Iteration 00018000, loss   0.2084, accuracy 90.99, exact match 32.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:52 Evaluating..
2020-02-03 17:53 Predicted for 1821 examples.
2020-02-03 17:53 Done predicting in 77.57014393806458 seconds.
2020-02-03 17:53   Evaluation Accuracy: 66.62 Exact Match: 36.52  Target Accuracy:  0.00
2020-02-03 17:54 Iteration 00018100, loss   0.2011, accuracy 92.07, exact match 40.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:54 Iteration 00018200, loss   0.1897, accuracy 91.85, exact match 40.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:54 Iteration 00018300, loss   0.1927, accuracy 92.00, exact match 37.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:55 Iteration 00018400, loss   0.1812, accuracy 92.08, exact match 38.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:55 Iteration 00018500, loss   0.1911, accuracy 91.72, exact match 40.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:56 Iteration 00018600, loss   0.2071, accuracy 91.34, exact match 38.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:56 Iteration 00018700, loss   0.2092, accuracy 91.18, exact match 41.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:56 Iteration 00018800, loss   0.2130, accuracy 91.37, exact match 32.50, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:57 Iteration 00018900, loss   0.2098, accuracy 90.69, exact match 33.00, learning_rate 0.00091, aux. accuracy target pos  0.00
2020-02-03 17:57 Iteration 00019000, loss   0.2029, accuracy 90.92, exact match 31.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 17:57 Evaluating..
2020-02-03 17:58 Predicted for 1821 examples.
2020-02-03 17:58 Done predicting in 77.97019362449646 seconds.
2020-02-03 17:58   Evaluation Accuracy: 65.79 Exact Match: 36.08  Target Accuracy:  0.00
2020-02-03 17:58 Iteration 00019100, loss   0.2019, accuracy 91.71, exact match 39.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 17:59 Iteration 00019200, loss   0.2055, accuracy 91.56, exact match 36.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 17:59 Iteration 00019300, loss   0.1852, accuracy 92.44, exact match 39.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:00 Iteration 00019400, loss   0.1912, accuracy 92.03, exact match 38.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:00 Iteration 00019500, loss   0.2117, accuracy 91.15, exact match 36.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:00 Iteration 00019600, loss   0.2022, accuracy 91.25, exact match 36.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:01 Iteration 00019700, loss   0.1856, accuracy 92.19, exact match 40.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:01 Iteration 00019800, loss   0.1875, accuracy 91.76, exact match 36.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:01 Iteration 00019900, loss   0.1898, accuracy 92.46, exact match 45.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:02 Iteration 00020000, loss   0.1911, accuracy 91.45, exact match 37.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:02 Evaluating..
2020-02-03 18:03 Predicted for 1821 examples.
2020-02-03 18:03 Done predicting in 77.85776257514954 seconds.
2020-02-03 18:03   Evaluation Accuracy: 65.69 Exact Match: 35.26  Target Accuracy:  0.00
2020-02-03 18:03 Iteration 00020100, loss   0.2027, accuracy 91.63, exact match 35.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:04 Iteration 00020200, loss   0.1869, accuracy 92.35, exact match 41.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:04 Iteration 00020300, loss   0.1870, accuracy 92.41, exact match 45.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:04 Iteration 00020400, loss   0.1862, accuracy 92.12, exact match 41.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:05 Iteration 00020500, loss   0.2083, accuracy 91.43, exact match 39.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:05 Iteration 00020600, loss   0.2064, accuracy 91.72, exact match 38.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:05 Iteration 00020700, loss   0.2121, accuracy 90.74, exact match 31.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:06 Iteration 00020800, loss   0.2058, accuracy 91.04, exact match 36.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:06 Iteration 00020900, loss   0.1906, accuracy 92.01, exact match 40.00, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:06 Iteration 00021000, loss   0.1942, accuracy 91.90, exact match 37.50, learning_rate 0.00090, aux. accuracy target pos  0.00
2020-02-03 18:06 Evaluating..
2020-02-03 18:08 Predicted for 1821 examples.
2020-02-03 18:08 Done predicting in 77.32623076438904 seconds.
2020-02-03 18:08   Evaluation Accuracy: 67.09 Exact Match: 37.34  Target Accuracy:  0.00
2020-02-03 18:08 Iteration 00021100, loss   0.2058, accuracy 90.86, exact match 35.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:08 Iteration 00021200, loss   0.1981, accuracy 91.82, exact match 36.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:09 Iteration 00021300, loss   0.1788, accuracy 91.82, exact match 41.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:09 Iteration 00021400, loss   0.2063, accuracy 91.59, exact match 35.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:09 Iteration 00021500, loss   0.1942, accuracy 91.51, exact match 38.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:10 Iteration 00021600, loss   0.1890, accuracy 91.83, exact match 40.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:10 Iteration 00021700, loss   0.1810, accuracy 92.65, exact match 42.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:10 Iteration 00021800, loss   0.1859, accuracy 92.20, exact match 41.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:11 Iteration 00021900, loss   0.1788, accuracy 92.52, exact match 45.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:11 Iteration 00022000, loss   0.1841, accuracy 92.36, exact match 39.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:11 Evaluating..
2020-02-03 18:12 Predicted for 1821 examples.
2020-02-03 18:12 Done predicting in 76.38004970550537 seconds.
2020-02-03 18:12   Evaluation Accuracy: 66.41 Exact Match: 36.41  Target Accuracy:  0.00
2020-02-03 18:13 Iteration 00022100, loss   0.1817, accuracy 92.51, exact match 38.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:13 Iteration 00022200, loss   0.1881, accuracy 92.32, exact match 39.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:13 Iteration 00022300, loss   0.1800, accuracy 93.06, exact match 42.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:14 Iteration 00022400, loss   0.2038, accuracy 91.31, exact match 31.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:14 Iteration 00022500, loss   0.2117, accuracy 91.66, exact match 33.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:14 Iteration 00022600, loss   0.1736, accuracy 92.72, exact match 42.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:15 Iteration 00022700, loss   0.1848, accuracy 92.53, exact match 39.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:15 Iteration 00022800, loss   0.1933, accuracy 91.40, exact match 34.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:15 Iteration 00022900, loss   0.1781, accuracy 91.72, exact match 34.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:16 Iteration 00023000, loss   0.1920, accuracy 92.31, exact match 39.00, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:16 Evaluating..
2020-02-03 18:17 Predicted for 1821 examples.
2020-02-03 18:17 Done predicting in 78.45853352546692 seconds.
2020-02-03 18:17   Evaluation Accuracy: 66.36 Exact Match: 36.13  Target Accuracy:  0.00
2020-02-03 18:17 Iteration 00023100, loss   0.1903, accuracy 91.80, exact match 36.50, learning_rate 0.00089, aux. accuracy target pos  0.00
2020-02-03 18:18 Iteration 00023200, loss   0.1888, accuracy 91.86, exact match 38.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:18 Iteration 00023300, loss   0.1791, accuracy 92.17, exact match 39.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:18 Iteration 00023400, loss   0.1850, accuracy 91.65, exact match 38.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:19 Iteration 00023500, loss   0.1868, accuracy 92.19, exact match 36.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:19 Iteration 00023600, loss   0.1957, accuracy 91.27, exact match 33.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:19 Iteration 00023700, loss   0.1728, accuracy 92.14, exact match 39.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:20 Iteration 00023800, loss   0.1919, accuracy 91.98, exact match 40.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:20 Iteration 00023900, loss   0.1852, accuracy 92.69, exact match 43.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:20 Iteration 00024000, loss   0.1870, accuracy 92.39, exact match 39.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:20 Evaluating..
2020-02-03 18:22 Predicted for 1821 examples.
2020-02-03 18:22 Done predicting in 78.03765177726746 seconds.
2020-02-03 18:22   Evaluation Accuracy: 70.92 Exact Match: 43.16  Target Accuracy:  0.00
2020-02-03 18:22 Iteration 00024100, loss   0.1838, accuracy 92.70, exact match 43.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:22 Iteration 00024200, loss   0.1809, accuracy 92.20, exact match 40.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:23 Iteration 00024300, loss   0.1796, accuracy 92.16, exact match 40.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:23 Iteration 00024400, loss   0.1656, accuracy 93.67, exact match 49.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:23 Iteration 00024500, loss   0.1622, accuracy 93.44, exact match 50.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:24 Iteration 00024600, loss   0.1388, accuracy 94.46, exact match 55.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:24 Iteration 00024700, loss   0.1582, accuracy 93.38, exact match 51.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:24 Iteration 00024800, loss   0.1661, accuracy 92.67, exact match 42.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:25 Iteration 00024900, loss   0.1504, accuracy 93.82, exact match 49.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:25 Iteration 00025000, loss   0.1691, accuracy 93.78, exact match 53.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:25 Evaluating..
2020-02-03 18:26 Predicted for 1821 examples.
2020-02-03 18:26 Done predicting in 75.90624237060547 seconds.
2020-02-03 18:26   Evaluation Accuracy: 75.18 Exact Match: 49.31  Target Accuracy:  0.00
2020-02-03 18:27 Iteration 00025100, loss   0.1629, accuracy 92.96, exact match 47.50, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:27 Iteration 00025200, loss   0.1721, accuracy 92.80, exact match 43.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:27 Iteration 00025300, loss   0.1529, accuracy 93.69, exact match 54.00, learning_rate 0.00088, aux. accuracy target pos  0.00
2020-02-03 18:28 Iteration 00025400, loss   0.1659, accuracy 93.79, exact match 52.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:28 Iteration 00025500, loss   0.1616, accuracy 92.50, exact match 45.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:28 Iteration 00025600, loss   0.1596, accuracy 93.71, exact match 50.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:29 Iteration 00025700, loss   0.1464, accuracy 93.92, exact match 56.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:29 Iteration 00025800, loss   0.1602, accuracy 93.44, exact match 46.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:29 Iteration 00025900, loss   0.1407, accuracy 94.81, exact match 60.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:30 Iteration 00026000, loss   0.1463, accuracy 94.45, exact match 55.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:30 Evaluating..
2020-02-03 18:31 Predicted for 1821 examples.
2020-02-03 18:31 Done predicting in 78.19914531707764 seconds.
2020-02-03 18:31   Evaluation Accuracy: 78.26 Exact Match: 53.93  Target Accuracy:  0.00
2020-02-03 18:31 Iteration 00026100, loss   0.1657, accuracy 92.94, exact match 47.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:32 Iteration 00026200, loss   0.1399, accuracy 94.54, exact match 56.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:32 Iteration 00026300, loss   0.1606, accuracy 92.93, exact match 50.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:32 Iteration 00026400, loss   0.1591, accuracy 93.53, exact match 48.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:33 Iteration 00026500, loss   0.1306, accuracy 94.71, exact match 58.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:33 Iteration 00026600, loss   0.1414, accuracy 94.42, exact match 52.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:33 Iteration 00026700, loss   0.1359, accuracy 94.33, exact match 53.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:34 Iteration 00026800, loss   0.1234, accuracy 94.69, exact match 59.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:34 Iteration 00026900, loss   0.1470, accuracy 93.77, exact match 54.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:34 Iteration 00027000, loss   0.1506, accuracy 93.92, exact match 51.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:34 Evaluating..
2020-02-03 18:36 Predicted for 1821 examples.
2020-02-03 18:36 Done predicting in 77.16655039787292 seconds.
2020-02-03 18:36   Evaluation Accuracy: 79.84 Exact Match: 55.85  Target Accuracy:  0.00
2020-02-03 18:36 Iteration 00027100, loss   0.1339, accuracy 94.80, exact match 56.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:36 Iteration 00027200, loss   0.1356, accuracy 94.55, exact match 55.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:37 Iteration 00027300, loss   0.1319, accuracy 94.57, exact match 54.00, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:37 Iteration 00027400, loss   0.1521, accuracy 93.94, exact match 55.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:37 Iteration 00027500, loss   0.1122, accuracy 95.90, exact match 66.50, learning_rate 0.00087, aux. accuracy target pos  0.00
2020-02-03 18:38 Iteration 00027600, loss   0.1444, accuracy 94.31, exact match 51.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:38 Iteration 00027700, loss   0.1296, accuracy 95.04, exact match 61.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:38 Iteration 00027800, loss   0.1393, accuracy 94.27, exact match 53.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:39 Iteration 00027900, loss   0.1285, accuracy 95.01, exact match 58.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:39 Iteration 00028000, loss   0.1195, accuracy 95.22, exact match 62.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:39 Evaluating..
2020-02-03 18:40 Predicted for 1821 examples.
2020-02-03 18:40 Done predicting in 76.32193875312805 seconds.
2020-02-03 18:40   Evaluation Accuracy: 82.27 Exact Match: 60.02  Target Accuracy:  0.00
2020-02-03 18:41 Iteration 00028100, loss   0.1215, accuracy 95.13, exact match 59.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:41 Iteration 00028200, loss   0.1210, accuracy 95.15, exact match 61.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:41 Iteration 00028300, loss   0.1254, accuracy 95.03, exact match 58.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:42 Iteration 00028400, loss   0.1208, accuracy 95.65, exact match 62.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:42 Iteration 00028500, loss   0.1153, accuracy 95.82, exact match 69.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:42 Iteration 00028600, loss   0.1277, accuracy 95.22, exact match 61.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:43 Iteration 00028700, loss   0.1224, accuracy 95.43, exact match 62.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:43 Iteration 00028800, loss   0.1316, accuracy 94.62, exact match 55.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:43 Iteration 00028900, loss   0.1232, accuracy 95.29, exact match 58.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:44 Iteration 00029000, loss   0.1248, accuracy 95.37, exact match 60.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:44 Evaluating..
2020-02-03 18:45 Predicted for 1821 examples.
2020-02-03 18:45 Done predicting in 78.09300661087036 seconds.
2020-02-03 18:45   Evaluation Accuracy: 84.31 Exact Match: 63.15  Target Accuracy:  0.00
2020-02-03 18:45 Iteration 00029100, loss   0.1071, accuracy 95.78, exact match 67.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:46 Iteration 00029200, loss   0.1357, accuracy 94.65, exact match 59.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:46 Iteration 00029300, loss   0.1085, accuracy 95.33, exact match 67.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:46 Iteration 00029400, loss   0.1144, accuracy 95.53, exact match 62.50, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:47 Iteration 00029500, loss   0.1108, accuracy 95.37, exact match 62.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:47 Iteration 00029600, loss   0.1138, accuracy 95.53, exact match 65.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:47 Iteration 00029700, loss   0.1312, accuracy 95.06, exact match 58.00, learning_rate 0.00086, aux. accuracy target pos  0.00
2020-02-03 18:48 Iteration 00029800, loss   0.1026, accuracy 96.05, exact match 68.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:48 Iteration 00029900, loss   0.1231, accuracy 95.23, exact match 61.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:48 Iteration 00030000, loss   0.1134, accuracy 95.37, exact match 61.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:48 Evaluating..
2020-02-03 18:50 Predicted for 1821 examples.
2020-02-03 18:50 Done predicting in 77.51118111610413 seconds.
2020-02-03 18:50   Evaluation Accuracy: 86.52 Exact Match: 67.16  Target Accuracy:  0.00
2020-02-03 18:50 Iteration 00030100, loss   0.1060, accuracy 95.78, exact match 64.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:50 Iteration 00030200, loss   0.1101, accuracy 95.51, exact match 63.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:51 Iteration 00030300, loss   0.1122, accuracy 95.20, exact match 64.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:51 Iteration 00030400, loss   0.1059, accuracy 95.80, exact match 65.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:51 Iteration 00030500, loss   0.1075, accuracy 95.81, exact match 67.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:52 Iteration 00030600, loss   0.1110, accuracy 95.63, exact match 66.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:52 Iteration 00030700, loss   0.0807, accuracy 96.98, exact match 72.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:52 Iteration 00030800, loss   0.1100, accuracy 95.45, exact match 62.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:53 Iteration 00030900, loss   0.1113, accuracy 95.71, exact match 63.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:53 Iteration 00031000, loss   0.0961, accuracy 96.01, exact match 68.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:53 Evaluating..
2020-02-03 18:54 Predicted for 1821 examples.
2020-02-03 18:54 Done predicting in 77.53723764419556 seconds.
2020-02-03 18:54   Evaluation Accuracy: 90.39 Exact Match: 72.82  Target Accuracy:  0.00
2020-02-03 18:55 Iteration 00031100, loss   0.0828, accuracy 96.72, exact match 72.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:55 Iteration 00031200, loss   0.0812, accuracy 97.22, exact match 74.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:55 Iteration 00031300, loss   0.0874, accuracy 96.42, exact match 70.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:56 Iteration 00031400, loss   0.0954, accuracy 96.27, exact match 68.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:56 Iteration 00031500, loss   0.0929, accuracy 96.58, exact match 70.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:56 Iteration 00031600, loss   0.0847, accuracy 96.54, exact match 73.00, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:57 Iteration 00031700, loss   0.0847, accuracy 97.06, exact match 75.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:57 Iteration 00031800, loss   0.0908, accuracy 96.45, exact match 71.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:57 Iteration 00031900, loss   0.0898, accuracy 96.74, exact match 70.50, learning_rate 0.00085, aux. accuracy target pos  0.00
2020-02-03 18:58 Iteration 00032000, loss   0.0753, accuracy 97.36, exact match 77.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 18:58 Evaluating..
2020-02-03 18:59 Predicted for 1821 examples.
2020-02-03 18:59 Done predicting in 78.23632383346558 seconds.
2020-02-03 18:59   Evaluation Accuracy: 92.49 Exact Match: 77.21  Target Accuracy:  0.00
2020-02-03 18:59 Iteration 00032100, loss   0.0790, accuracy 97.11, exact match 75.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:00 Iteration 00032200, loss   0.0845, accuracy 96.98, exact match 71.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:00 Iteration 00032300, loss   0.0897, accuracy 96.79, exact match 73.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:00 Iteration 00032400, loss   0.1137, accuracy 95.52, exact match 66.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:01 Iteration 00032500, loss   0.0717, accuracy 97.44, exact match 78.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:01 Iteration 00032600, loss   0.0704, accuracy 97.53, exact match 76.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:01 Iteration 00032700, loss   0.0840, accuracy 96.81, exact match 71.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:02 Iteration 00032800, loss   0.0758, accuracy 96.82, exact match 73.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:02 Iteration 00032900, loss   0.0645, accuracy 97.64, exact match 79.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:02 Iteration 00033000, loss   0.0797, accuracy 97.00, exact match 73.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:02 Evaluating..
2020-02-03 19:04 Predicted for 1821 examples.
2020-02-03 19:04 Done predicting in 78.31189131736755 seconds.
2020-02-03 19:04   Evaluation Accuracy: 92.41 Exact Match: 77.32  Target Accuracy:  0.00
2020-02-03 19:04 Iteration 00033100, loss   0.0723, accuracy 97.52, exact match 77.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:04 Iteration 00033200, loss   0.0705, accuracy 97.16, exact match 73.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:05 Iteration 00033300, loss   0.0909, accuracy 96.26, exact match 67.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:05 Iteration 00033400, loss   0.0744, accuracy 97.44, exact match 77.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:05 Iteration 00033500, loss   0.0760, accuracy 97.07, exact match 72.50, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:06 Iteration 00033600, loss   0.0638, accuracy 97.39, exact match 80.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:06 Iteration 00033700, loss   0.0588, accuracy 97.99, exact match 82.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:06 Iteration 00033800, loss   0.0881, accuracy 96.61, exact match 72.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:07 Iteration 00033900, loss   0.0722, accuracy 97.07, exact match 73.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:07 Iteration 00034000, loss   0.0598, accuracy 97.86, exact match 82.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:07 Evaluating..
2020-02-03 19:08 Predicted for 1821 examples.
2020-02-03 19:08 Done predicting in 78.13770031929016 seconds.
2020-02-03 19:08   Evaluation Accuracy: 93.43 Exact Match: 79.57  Target Accuracy:  0.00
2020-02-03 19:09 Iteration 00034100, loss   0.0725, accuracy 97.25, exact match 75.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:09 Iteration 00034200, loss   0.0761, accuracy 97.17, exact match 77.00, learning_rate 0.00084, aux. accuracy target pos  0.00
2020-02-03 19:09 Iteration 00034300, loss   0.0594, accuracy 97.85, exact match 82.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:10 Iteration 00034400, loss   0.0668, accuracy 97.32, exact match 79.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:10 Iteration 00034500, loss   0.0751, accuracy 97.35, exact match 79.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:10 Iteration 00034600, loss   0.0456, accuracy 98.51, exact match 86.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:11 Iteration 00034700, loss   0.0687, accuracy 96.85, exact match 71.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:11 Iteration 00034800, loss   0.0676, accuracy 97.38, exact match 77.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:11 Iteration 00034900, loss   0.0680, accuracy 97.35, exact match 74.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:12 Iteration 00035000, loss   0.0606, accuracy 97.69, exact match 80.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:12 Evaluating..
2020-02-03 19:13 Predicted for 1821 examples.
2020-02-03 19:13 Done predicting in 78.61225247383118 seconds.
2020-02-03 19:13   Evaluation Accuracy: 94.23 Exact Match: 82.10  Target Accuracy:  0.00
2020-02-03 19:13 Iteration 00035100, loss   0.0625, accuracy 97.75, exact match 79.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:14 Iteration 00035200, loss   0.0590, accuracy 97.77, exact match 80.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:14 Iteration 00035300, loss   0.0621, accuracy 97.56, exact match 79.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:14 Iteration 00035400, loss   0.0641, accuracy 97.64, exact match 78.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:15 Iteration 00035500, loss   0.0584, accuracy 97.94, exact match 83.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:15 Iteration 00035600, loss   0.0781, accuracy 97.05, exact match 76.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:15 Iteration 00035700, loss   0.0631, accuracy 97.80, exact match 80.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:16 Iteration 00035800, loss   0.0649, accuracy 97.51, exact match 77.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:16 Iteration 00035900, loss   0.0591, accuracy 97.63, exact match 81.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:16 Iteration 00036000, loss   0.0703, accuracy 97.40, exact match 76.00, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:16 Evaluating..
2020-02-03 19:18 Predicted for 1821 examples.
2020-02-03 19:18 Done predicting in 78.03103399276733 seconds.
2020-02-03 19:18   Evaluation Accuracy: 94.74 Exact Match: 82.48  Target Accuracy:  0.00
2020-02-03 19:18 Iteration 00036100, loss   0.0684, accuracy 97.26, exact match 74.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:18 Iteration 00036200, loss   0.0559, accuracy 97.60, exact match 80.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:19 Iteration 00036300, loss   0.0547, accuracy 98.00, exact match 81.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:19 Iteration 00036400, loss   0.0597, accuracy 97.82, exact match 79.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:19 Iteration 00036500, loss   0.0543, accuracy 98.03, exact match 85.50, learning_rate 0.00083, aux. accuracy target pos  0.00
2020-02-03 19:20 Iteration 00036600, loss   0.0480, accuracy 98.47, exact match 87.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:20 Iteration 00036700, loss   0.0570, accuracy 97.93, exact match 81.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:20 Iteration 00036800, loss   0.0717, accuracy 97.23, exact match 77.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:21 Iteration 00036900, loss   0.0538, accuracy 97.97, exact match 80.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:21 Iteration 00037000, loss   0.0537, accuracy 98.13, exact match 82.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:21 Evaluating..
2020-02-03 19:22 Predicted for 1821 examples.
2020-02-03 19:22 Done predicting in 78.05700492858887 seconds.
2020-02-03 19:22   Evaluation Accuracy: 94.70 Exact Match: 82.65  Target Accuracy:  0.00
2020-02-03 19:23 Iteration 00037100, loss   0.0462, accuracy 98.28, exact match 83.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:23 Iteration 00037200, loss   0.0463, accuracy 98.28, exact match 83.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:23 Iteration 00037300, loss   0.0421, accuracy 98.47, exact match 87.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:24 Iteration 00037400, loss   0.0635, accuracy 97.86, exact match 80.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:24 Iteration 00037500, loss   0.0704, accuracy 97.24, exact match 77.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:24 Iteration 00037600, loss   0.0409, accuracy 98.59, exact match 86.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:25 Iteration 00037700, loss   0.0575, accuracy 98.06, exact match 81.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:25 Iteration 00037800, loss   0.0472, accuracy 98.03, exact match 81.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:25 Iteration 00037900, loss   0.0556, accuracy 97.76, exact match 79.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:26 Iteration 00038000, loss   0.0502, accuracy 97.89, exact match 82.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:26 Evaluating..
2020-02-03 19:27 Predicted for 1821 examples.
2020-02-03 19:27 Done predicting in 78.89567255973816 seconds.
2020-02-03 19:27   Evaluation Accuracy: 95.07 Exact Match: 83.47  Target Accuracy:  0.00
2020-02-03 19:27 Iteration 00038100, loss   0.0645, accuracy 97.35, exact match 75.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:28 Iteration 00038200, loss   0.0441, accuracy 98.55, exact match 88.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:28 Iteration 00038300, loss   0.0615, accuracy 97.57, exact match 77.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:28 Iteration 00038400, loss   0.0555, accuracy 98.04, exact match 81.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:29 Iteration 00038500, loss   0.0514, accuracy 98.17, exact match 83.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:29 Iteration 00038600, loss   0.0501, accuracy 97.81, exact match 82.00, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:30 Iteration 00038700, loss   0.0541, accuracy 97.80, exact match 80.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:30 Iteration 00038800, loss   0.0473, accuracy 98.01, exact match 81.50, learning_rate 0.00082, aux. accuracy target pos  0.00
2020-02-03 19:30 Iteration 00038900, loss   0.0441, accuracy 98.63, exact match 86.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:31 Iteration 00039000, loss   0.0463, accuracy 98.04, exact match 83.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:31 Evaluating..
2020-02-03 19:32 Predicted for 1821 examples.
2020-02-03 19:32 Done predicting in 78.38744401931763 seconds.
2020-02-03 19:32   Evaluation Accuracy: 95.23 Exact Match: 83.80  Target Accuracy:  0.00
2020-02-03 19:32 Iteration 00039100, loss   0.0456, accuracy 97.96, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:33 Iteration 00039200, loss   0.0380, accuracy 98.82, exact match 88.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:33 Iteration 00039300, loss   0.0582, accuracy 97.69, exact match 82.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:33 Iteration 00039400, loss   0.0413, accuracy 98.28, exact match 83.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:34 Iteration 00039500, loss   0.0424, accuracy 98.32, exact match 84.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:34 Iteration 00039600, loss   0.0473, accuracy 98.22, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:34 Iteration 00039700, loss   0.0522, accuracy 97.98, exact match 83.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:35 Iteration 00039800, loss   0.0475, accuracy 98.17, exact match 83.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:35 Iteration 00039900, loss   0.0448, accuracy 98.51, exact match 87.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:35 Iteration 00040000, loss   0.0504, accuracy 97.77, exact match 79.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:35 Evaluating..
2020-02-03 19:37 Predicted for 1821 examples.
2020-02-03 19:37 Done predicting in 78.27669167518616 seconds.
2020-02-03 19:37   Evaluation Accuracy: 95.40 Exact Match: 84.46  Target Accuracy:  0.00
2020-02-03 19:37 Iteration 00040100, loss   0.0534, accuracy 97.96, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:37 Iteration 00040200, loss   0.0495, accuracy 98.25, exact match 84.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:38 Iteration 00040300, loss   0.0465, accuracy 98.00, exact match 82.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:38 Iteration 00040400, loss   0.0545, accuracy 97.69, exact match 79.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:38 Iteration 00040500, loss   0.0566, accuracy 97.95, exact match 82.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:39 Iteration 00040600, loss   0.0443, accuracy 98.15, exact match 81.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:39 Iteration 00040700, loss   0.0406, accuracy 98.44, exact match 85.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:39 Iteration 00040800, loss   0.0501, accuracy 98.15, exact match 83.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:40 Iteration 00040900, loss   0.0388, accuracy 98.74, exact match 87.50, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:40 Iteration 00041000, loss   0.0565, accuracy 97.75, exact match 78.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:40 Evaluating..
2020-02-03 19:41 Predicted for 1821 examples.
2020-02-03 19:41 Done predicting in 78.57578134536743 seconds.
2020-02-03 19:41   Evaluation Accuracy: 95.09 Exact Match: 83.69  Target Accuracy:  0.00
2020-02-03 19:42 Iteration 00041100, loss   0.0438, accuracy 98.23, exact match 83.00, learning_rate 0.00081, aux. accuracy target pos  0.00
2020-02-03 19:42 Iteration 00041200, loss   0.0517, accuracy 98.24, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:42 Iteration 00041300, loss   0.0577, accuracy 98.23, exact match 84.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:43 Iteration 00041400, loss   0.0460, accuracy 98.24, exact match 85.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:43 Iteration 00041500, loss   0.0343, accuracy 98.89, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:43 Iteration 00041600, loss   0.0453, accuracy 98.43, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:44 Iteration 00041700, loss   0.0416, accuracy 98.24, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:44 Iteration 00041800, loss   0.0481, accuracy 98.37, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:44 Iteration 00041900, loss   0.0431, accuracy 98.27, exact match 85.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:45 Iteration 00042000, loss   0.0539, accuracy 98.09, exact match 82.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:45 Evaluating..
2020-02-03 19:46 Predicted for 1821 examples.
2020-02-03 19:46 Done predicting in 78.33083271980286 seconds.
2020-02-03 19:46   Evaluation Accuracy: 95.22 Exact Match: 84.51  Target Accuracy:  0.00
2020-02-03 19:46 Iteration 00042100, loss   0.0476, accuracy 98.57, exact match 87.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:47 Iteration 00042200, loss   0.0440, accuracy 98.45, exact match 86.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:47 Iteration 00042300, loss   0.0436, accuracy 98.31, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:47 Iteration 00042400, loss   0.0428, accuracy 98.65, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:48 Iteration 00042500, loss   0.0371, accuracy 98.33, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:48 Iteration 00042600, loss   0.0507, accuracy 98.06, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:48 Iteration 00042700, loss   0.0406, accuracy 98.48, exact match 85.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:49 Iteration 00042800, loss   0.0402, accuracy 98.52, exact match 86.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:49 Iteration 00042900, loss   0.0279, accuracy 98.82, exact match 89.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:49 Iteration 00043000, loss   0.0545, accuracy 97.87, exact match 78.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:49 Evaluating..
2020-02-03 19:51 Predicted for 1821 examples.
2020-02-03 19:51 Done predicting in 78.31827712059021 seconds.
2020-02-03 19:51   Evaluation Accuracy: 95.62 Exact Match: 85.72  Target Accuracy:  0.00
2020-02-03 19:51 Iteration 00043100, loss   0.0432, accuracy 98.47, exact match 86.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:51 Iteration 00043200, loss   0.0429, accuracy 98.57, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:52 Iteration 00043300, loss   0.0369, accuracy 98.57, exact match 88.00, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:52 Iteration 00043400, loss   0.0378, accuracy 98.80, exact match 88.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:52 Iteration 00043500, loss   0.0415, accuracy 98.38, exact match 84.50, learning_rate 0.00080, aux. accuracy target pos  0.00
2020-02-03 19:53 Iteration 00043600, loss   0.0310, accuracy 98.87, exact match 89.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:53 Iteration 00043700, loss   0.0498, accuracy 98.07, exact match 83.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:53 Iteration 00043800, loss   0.0295, accuracy 98.98, exact match 90.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:54 Iteration 00043900, loss   0.0490, accuracy 98.22, exact match 85.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:54 Iteration 00044000, loss   0.0344, accuracy 98.41, exact match 85.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:54 Evaluating..
2020-02-03 19:55 Predicted for 1821 examples.
2020-02-03 19:55 Done predicting in 78.47672271728516 seconds.
2020-02-03 19:55   Evaluation Accuracy: 96.34 Exact Match: 87.48  Target Accuracy:  0.00
2020-02-03 19:56 Iteration 00044100, loss   0.0284, accuracy 98.87, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:56 Iteration 00044200, loss   0.0353, accuracy 98.83, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:56 Iteration 00044300, loss   0.0314, accuracy 98.94, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:57 Iteration 00044400, loss   0.0427, accuracy 98.47, exact match 87.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:57 Iteration 00044500, loss   0.0355, accuracy 98.69, exact match 88.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:57 Iteration 00044600, loss   0.0327, accuracy 98.65, exact match 87.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:58 Iteration 00044700, loss   0.0408, accuracy 98.43, exact match 87.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:58 Iteration 00044800, loss   0.0330, accuracy 98.45, exact match 89.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:58 Iteration 00044900, loss   0.0360, accuracy 98.70, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:59 Iteration 00045000, loss   0.0394, accuracy 98.54, exact match 86.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 19:59 Evaluating..
2020-02-03 20:00 Predicted for 1821 examples.
2020-02-03 20:00 Done predicting in 78.47592377662659 seconds.
2020-02-03 20:00   Evaluation Accuracy: 96.04 Exact Match: 86.66  Target Accuracy:  0.00
2020-02-03 20:00 Iteration 00045100, loss   0.0339, accuracy 98.67, exact match 88.12, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:01 Iteration 00045200, loss   0.0345, accuracy 98.83, exact match 88.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:01 Iteration 00045300, loss   0.0515, accuracy 98.33, exact match 83.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:01 Iteration 00045400, loss   0.0346, accuracy 98.70, exact match 87.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:02 Iteration 00045500, loss   0.0499, accuracy 98.09, exact match 83.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:02 Iteration 00045600, loss   0.0412, accuracy 98.41, exact match 86.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:02 Iteration 00045700, loss   0.0404, accuracy 98.30, exact match 84.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:03 Iteration 00045800, loss   0.0409, accuracy 98.60, exact match 86.50, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:03 Iteration 00045900, loss   0.0455, accuracy 98.30, exact match 85.00, learning_rate 0.00079, aux. accuracy target pos  0.00
2020-02-03 20:03 Iteration 00046000, loss   0.0409, accuracy 98.63, exact match 85.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:03 Evaluating..
2020-02-03 20:05 Predicted for 1821 examples.
2020-02-03 20:05 Done predicting in 78.3359808921814 seconds.
2020-02-03 20:05   Evaluation Accuracy: 96.21 Exact Match: 87.42  Target Accuracy:  0.00
2020-02-03 20:05 Iteration 00046100, loss   0.0476, accuracy 97.89, exact match 83.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:05 Iteration 00046200, loss   0.0414, accuracy 98.70, exact match 89.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:06 Iteration 00046300, loss   0.0390, accuracy 98.57, exact match 85.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:06 Iteration 00046400, loss   0.0395, accuracy 98.24, exact match 84.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:06 Iteration 00046500, loss   0.0301, accuracy 98.90, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:07 Iteration 00046600, loss   0.0419, accuracy 98.53, exact match 87.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:07 Iteration 00046700, loss   0.0368, accuracy 98.35, exact match 85.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:07 Iteration 00046800, loss   0.0358, accuracy 98.65, exact match 87.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:08 Iteration 00046900, loss   0.0322, accuracy 98.85, exact match 88.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:08 Iteration 00047000, loss   0.0288, accuracy 98.99, exact match 90.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:08 Evaluating..
2020-02-03 20:09 Predicted for 1821 examples.
2020-02-03 20:09 Done predicting in 78.13244414329529 seconds.
2020-02-03 20:09   Evaluation Accuracy: 96.49 Exact Match: 88.25  Target Accuracy:  0.00
2020-02-03 20:10 Iteration 00047100, loss   0.0383, accuracy 98.43, exact match 85.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:10 Iteration 00047200, loss   0.0397, accuracy 98.23, exact match 85.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:10 Iteration 00047300, loss   0.0391, accuracy 98.44, exact match 85.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:11 Iteration 00047400, loss   0.0351, accuracy 98.69, exact match 88.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:11 Iteration 00047500, loss   0.0249, accuracy 98.98, exact match 91.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:11 Iteration 00047600, loss   0.0355, accuracy 98.76, exact match 88.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:12 Iteration 00047700, loss   0.0282, accuracy 99.00, exact match 89.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:12 Iteration 00047800, loss   0.0365, accuracy 98.86, exact match 90.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:12 Iteration 00047900, loss   0.0395, accuracy 98.40, exact match 86.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:13 Iteration 00048000, loss   0.0296, accuracy 98.74, exact match 87.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:13 Evaluating..
2020-02-03 20:14 Predicted for 1821 examples.
2020-02-03 20:14 Done predicting in 78.16159534454346 seconds.
2020-02-03 20:14   Evaluation Accuracy: 96.54 Exact Match: 88.36  Target Accuracy:  0.00
2020-02-03 20:14 Iteration 00048100, loss   0.0365, accuracy 98.52, exact match 86.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:15 Iteration 00048200, loss   0.0310, accuracy 98.87, exact match 88.50, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:15 Iteration 00048300, loss   0.0464, accuracy 98.48, exact match 86.00, learning_rate 0.00078, aux. accuracy target pos  0.00
2020-02-03 20:15 Iteration 00048400, loss   0.0370, accuracy 98.63, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:16 Iteration 00048500, loss   0.0303, accuracy 99.03, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:16 Iteration 00048600, loss   0.0405, accuracy 98.36, exact match 85.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:16 Iteration 00048700, loss   0.0292, accuracy 98.76, exact match 87.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:17 Iteration 00048800, loss   0.0232, accuracy 99.09, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:17 Iteration 00048900, loss   0.0269, accuracy 98.81, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:17 Iteration 00049000, loss   0.0346, accuracy 98.77, exact match 88.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:17 Evaluating..
2020-02-03 20:19 Predicted for 1821 examples.
2020-02-03 20:19 Done predicting in 78.39120602607727 seconds.
2020-02-03 20:19   Evaluation Accuracy: 96.56 Exact Match: 87.86  Target Accuracy:  0.00
2020-02-03 20:19 Iteration 00049100, loss   0.0511, accuracy 98.49, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:19 Iteration 00049200, loss   0.0389, accuracy 98.55, exact match 86.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:20 Iteration 00049300, loss   0.0385, accuracy 98.89, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:20 Iteration 00049400, loss   0.0430, accuracy 98.28, exact match 84.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:20 Iteration 00049500, loss   0.0306, accuracy 98.99, exact match 91.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:21 Iteration 00049600, loss   0.0380, accuracy 98.85, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:21 Iteration 00049700, loss   0.0421, accuracy 98.33, exact match 82.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:22 Iteration 00049800, loss   0.0290, accuracy 98.90, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:22 Iteration 00049900, loss   0.0284, accuracy 98.96, exact match 90.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:22 Iteration 00050000, loss   0.0352, accuracy 98.86, exact match 89.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:22 Evaluating..
2020-02-03 20:23 Predicted for 1821 examples.
2020-02-03 20:23 Done predicting in 78.16077280044556 seconds.
2020-02-03 20:23   Evaluation Accuracy: 96.91 Exact Match: 88.41  Target Accuracy:  0.00
2020-02-03 20:24 Iteration 00050100, loss   0.0328, accuracy 98.77, exact match 88.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:24 Iteration 00050200, loss   0.0384, accuracy 98.64, exact match 88.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:25 Iteration 00050300, loss   0.0389, accuracy 98.53, exact match 85.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:25 Iteration 00050400, loss   0.0373, accuracy 98.73, exact match 87.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:25 Iteration 00050500, loss   0.0349, accuracy 98.85, exact match 89.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:26 Iteration 00050600, loss   0.0310, accuracy 98.91, exact match 90.50, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:26 Iteration 00050700, loss   0.0392, accuracy 98.97, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:26 Iteration 00050800, loss   0.0228, accuracy 99.20, exact match 92.00, learning_rate 0.00077, aux. accuracy target pos  0.00
2020-02-03 20:27 Iteration 00050900, loss   0.0406, accuracy 98.44, exact match 85.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:27 Iteration 00051000, loss   0.0395, accuracy 98.45, exact match 84.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:27 Evaluating..
2020-02-03 20:28 Predicted for 1821 examples.
2020-02-03 20:28 Done predicting in 78.17232394218445 seconds.
2020-02-03 20:28   Evaluation Accuracy: 96.67 Exact Match: 89.13  Target Accuracy:  0.00
2020-02-03 20:29 Iteration 00051100, loss   0.0266, accuracy 98.98, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:29 Iteration 00051200, loss   0.0339, accuracy 98.71, exact match 88.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:29 Iteration 00051300, loss   0.0327, accuracy 98.74, exact match 87.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:30 Iteration 00051400, loss   0.0329, accuracy 98.83, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:30 Iteration 00051500, loss   0.0279, accuracy 98.87, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:30 Iteration 00051600, loss   0.0354, accuracy 98.77, exact match 89.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:31 Iteration 00051700, loss   0.0278, accuracy 99.12, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:31 Iteration 00051800, loss   0.0364, accuracy 98.57, exact match 86.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:31 Iteration 00051900, loss   0.0228, accuracy 99.12, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:32 Iteration 00052000, loss   0.0303, accuracy 98.97, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:32 Evaluating..
2020-02-03 20:33 Predicted for 1821 examples.
2020-02-03 20:33 Done predicting in 78.2543592453003 seconds.
2020-02-03 20:33   Evaluation Accuracy: 96.61 Exact Match: 88.14  Target Accuracy:  0.00
2020-02-03 20:33 Iteration 00052100, loss   0.0358, accuracy 98.66, exact match 87.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:34 Iteration 00052200, loss   0.0335, accuracy 99.04, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:34 Iteration 00052300, loss   0.0356, accuracy 98.91, exact match 88.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:34 Iteration 00052400, loss   0.0370, accuracy 98.77, exact match 87.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:35 Iteration 00052500, loss   0.0243, accuracy 99.09, exact match 92.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:35 Iteration 00052600, loss   0.0231, accuracy 99.11, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:35 Iteration 00052700, loss   0.0314, accuracy 99.14, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:36 Iteration 00052800, loss   0.0228, accuracy 98.91, exact match 90.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:36 Iteration 00052900, loss   0.0397, accuracy 98.56, exact match 86.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:36 Iteration 00053000, loss   0.0301, accuracy 98.98, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:36 Evaluating..
2020-02-03 20:38 Predicted for 1821 examples.
2020-02-03 20:38 Done predicting in 78.58043813705444 seconds.
2020-02-03 20:38   Evaluation Accuracy: 97.04 Exact Match: 89.35  Target Accuracy:  0.00
2020-02-03 20:38 Iteration 00053100, loss   0.0275, accuracy 99.08, exact match 91.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:38 Iteration 00053200, loss   0.0310, accuracy 99.01, exact match 90.50, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:39 Iteration 00053300, loss   0.0304, accuracy 99.08, exact match 91.00, learning_rate 0.00076, aux. accuracy target pos  0.00
2020-02-03 20:39 Iteration 00053400, loss   0.0275, accuracy 99.33, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:39 Iteration 00053500, loss   0.0451, accuracy 98.23, exact match 84.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:40 Iteration 00053600, loss   0.0283, accuracy 98.98, exact match 90.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:40 Iteration 00053700, loss   0.0276, accuracy 98.97, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:40 Iteration 00053800, loss   0.0300, accuracy 98.81, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:41 Iteration 00053900, loss   0.0400, accuracy 98.27, exact match 84.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:41 Iteration 00054000, loss   0.0291, accuracy 98.76, exact match 89.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:41 Evaluating..
2020-02-03 20:42 Predicted for 1821 examples.
2020-02-03 20:42 Done predicting in 78.30034875869751 seconds.
2020-02-03 20:42   Evaluation Accuracy: 96.98 Exact Match: 89.95  Target Accuracy:  0.00
2020-02-03 20:43 Iteration 00054100, loss   0.0408, accuracy 98.64, exact match 88.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:43 Iteration 00054200, loss   0.0281, accuracy 99.12, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:43 Iteration 00054300, loss   0.0298, accuracy 98.88, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:44 Iteration 00054400, loss   0.0327, accuracy 98.87, exact match 89.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:44 Iteration 00054500, loss   0.0282, accuracy 99.00, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:44 Iteration 00054600, loss   0.0396, accuracy 98.95, exact match 91.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:45 Iteration 00054700, loss   0.0400, accuracy 98.83, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:45 Iteration 00054800, loss   0.0341, accuracy 98.52, exact match 85.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:45 Iteration 00054900, loss   0.0308, accuracy 98.92, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:46 Iteration 00055000, loss   0.0348, accuracy 98.57, exact match 86.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:46 Evaluating..
2020-02-03 20:47 Predicted for 1821 examples.
2020-02-03 20:47 Done predicting in 78.16440153121948 seconds.
2020-02-03 20:47   Evaluation Accuracy: 97.26 Exact Match: 90.01  Target Accuracy:  0.00
2020-02-03 20:47 Iteration 00055100, loss   0.0221, accuracy 99.33, exact match 93.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:48 Iteration 00055200, loss   0.0189, accuracy 99.24, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:48 Iteration 00055300, loss   0.0322, accuracy 99.02, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:48 Iteration 00055400, loss   0.0266, accuracy 99.21, exact match 92.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:49 Iteration 00055500, loss   0.0351, accuracy 99.02, exact match 89.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:49 Iteration 00055600, loss   0.0320, accuracy 98.82, exact match 90.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:49 Iteration 00055700, loss   0.0412, accuracy 98.77, exact match 89.00, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:50 Iteration 00055800, loss   0.0260, accuracy 99.02, exact match 91.50, learning_rate 0.00075, aux. accuracy target pos  0.00
2020-02-03 20:50 Iteration 00055900, loss   0.0286, accuracy 98.98, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:50 Iteration 00056000, loss   0.0382, accuracy 98.75, exact match 88.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:50 Evaluating..
2020-02-03 20:52 Predicted for 1821 examples.
2020-02-03 20:52 Done predicting in 78.07987189292908 seconds.
2020-02-03 20:52   Evaluation Accuracy: 97.29 Exact Match: 90.94  Target Accuracy:  0.00
2020-02-03 20:52 Iteration 00056100, loss   0.0235, accuracy 99.15, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:52 Iteration 00056200, loss   0.0349, accuracy 98.86, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:53 Iteration 00056300, loss   0.0260, accuracy 98.92, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:53 Iteration 00056400, loss   0.0354, accuracy 98.73, exact match 89.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:53 Iteration 00056500, loss   0.0289, accuracy 98.91, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:54 Iteration 00056600, loss   0.0191, accuracy 99.14, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:54 Iteration 00056700, loss   0.0378, accuracy 98.51, exact match 85.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:54 Iteration 00056800, loss   0.0311, accuracy 98.76, exact match 87.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:55 Iteration 00056900, loss   0.0287, accuracy 99.25, exact match 94.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:55 Iteration 00057000, loss   0.0269, accuracy 98.82, exact match 88.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:55 Evaluating..
2020-02-03 20:56 Predicted for 1821 examples.
2020-02-03 20:56 Done predicting in 78.54280638694763 seconds.
2020-02-03 20:56   Evaluation Accuracy: 97.09 Exact Match: 89.84  Target Accuracy:  0.00
2020-02-03 20:57 Iteration 00057100, loss   0.0263, accuracy 99.20, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:57 Iteration 00057200, loss   0.0244, accuracy 99.15, exact match 91.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:57 Iteration 00057300, loss   0.0239, accuracy 99.23, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:58 Iteration 00057400, loss   0.0277, accuracy 99.14, exact match 92.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:58 Iteration 00057500, loss   0.0277, accuracy 98.86, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:58 Iteration 00057600, loss   0.0291, accuracy 98.88, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:59 Iteration 00057700, loss   0.0245, accuracy 99.20, exact match 91.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:59 Iteration 00057800, loss   0.0265, accuracy 99.05, exact match 90.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 20:59 Iteration 00057900, loss   0.0202, accuracy 99.43, exact match 94.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:00 Iteration 00058000, loss   0.0244, accuracy 99.15, exact match 92.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:00 Evaluating..
2020-02-03 21:01 Predicted for 1821 examples.
2020-02-03 21:01 Done predicting in 78.20552563667297 seconds.
2020-02-03 21:01   Evaluation Accuracy: 97.32 Exact Match: 90.88  Target Accuracy:  0.00
2020-02-03 21:01 Iteration 00058100, loss   0.0292, accuracy 99.02, exact match 89.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:02 Iteration 00058200, loss   0.0348, accuracy 98.72, exact match 87.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:02 Iteration 00058300, loss   0.0302, accuracy 98.73, exact match 88.50, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:02 Iteration 00058400, loss   0.0361, accuracy 98.87, exact match 89.00, learning_rate 0.00074, aux. accuracy target pos  0.00
2020-02-03 21:03 Iteration 00058500, loss   0.0227, accuracy 99.16, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:03 Iteration 00058600, loss   0.0221, accuracy 99.34, exact match 94.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:04 Iteration 00058700, loss   0.0196, accuracy 99.32, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:04 Iteration 00058800, loss   0.0262, accuracy 98.83, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:04 Iteration 00058900, loss   0.0214, accuracy 98.99, exact match 90.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:05 Iteration 00059000, loss   0.0277, accuracy 99.09, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:05 Evaluating..
2020-02-03 21:06 Predicted for 1821 examples.
2020-02-03 21:06 Done predicting in 78.28184103965759 seconds.
2020-02-03 21:06   Evaluation Accuracy: 97.37 Exact Match: 90.99  Target Accuracy:  0.00
2020-02-03 21:06 Iteration 00059100, loss   0.0259, accuracy 99.26, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:07 Iteration 00059200, loss   0.0318, accuracy 98.93, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:07 Iteration 00059300, loss   0.0260, accuracy 99.05, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:07 Iteration 00059400, loss   0.0240, accuracy 98.91, exact match 89.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:08 Iteration 00059500, loss   0.0299, accuracy 99.07, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:08 Iteration 00059600, loss   0.0191, accuracy 99.33, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:08 Iteration 00059700, loss   0.0293, accuracy 99.07, exact match 90.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:09 Iteration 00059800, loss   0.0249, accuracy 99.12, exact match 91.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:09 Iteration 00059900, loss   0.0192, accuracy 99.27, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:09 Iteration 00060000, loss   0.0310, accuracy 98.85, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:09 Evaluating..
2020-02-03 21:11 Predicted for 1821 examples.
2020-02-03 21:11 Done predicting in 78.31242966651917 seconds.
2020-02-03 21:11   Evaluation Accuracy: 97.27 Exact Match: 90.99  Target Accuracy:  0.00
2020-02-03 21:11 Iteration 00060100, loss   0.0322, accuracy 98.92, exact match 90.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:11 Iteration 00060200, loss   0.0216, accuracy 99.12, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:12 Iteration 00060300, loss   0.0249, accuracy 99.06, exact match 91.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:12 Iteration 00060400, loss   0.0204, accuracy 99.29, exact match 93.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:12 Iteration 00060500, loss   0.0344, accuracy 98.70, exact match 88.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:13 Iteration 00060600, loss   0.0316, accuracy 98.84, exact match 88.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:13 Iteration 00060700, loss   0.0354, accuracy 98.96, exact match 92.00, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:13 Iteration 00060800, loss   0.0313, accuracy 99.02, exact match 90.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:14 Iteration 00060900, loss   0.0217, accuracy 99.21, exact match 92.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:14 Iteration 00061000, loss   0.0177, accuracy 99.42, exact match 93.50, learning_rate 0.00073, aux. accuracy target pos  0.00
2020-02-03 21:14 Evaluating..
2020-02-03 21:15 Predicted for 1821 examples.
2020-02-03 21:15 Done predicting in 78.13884735107422 seconds.
2020-02-03 21:15   Evaluation Accuracy: 97.36 Exact Match: 91.05  Target Accuracy:  0.00
2020-02-03 21:16 Iteration 00061100, loss   0.0300, accuracy 98.81, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:16 Iteration 00061200, loss   0.0374, accuracy 98.59, exact match 87.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:16 Iteration 00061300, loss   0.0173, accuracy 99.44, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:17 Iteration 00061400, loss   0.0341, accuracy 98.90, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:17 Iteration 00061500, loss   0.0325, accuracy 98.98, exact match 90.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:17 Iteration 00061600, loss   0.0266, accuracy 99.12, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:18 Iteration 00061700, loss   0.0254, accuracy 99.34, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:18 Iteration 00061800, loss   0.0187, accuracy 99.29, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:18 Iteration 00061900, loss   0.0193, accuracy 99.32, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:19 Iteration 00062000, loss   0.0283, accuracy 99.21, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:19 Evaluating..
2020-02-03 21:20 Predicted for 1821 examples.
2020-02-03 21:20 Done predicting in 78.14104461669922 seconds.
2020-02-03 21:20   Evaluation Accuracy: 97.19 Exact Match: 90.77  Target Accuracy:  0.00
2020-02-03 21:20 Iteration 00062100, loss   0.0251, accuracy 99.06, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:21 Iteration 00062200, loss   0.0208, accuracy 99.30, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:21 Iteration 00062300, loss   0.0313, accuracy 99.05, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:21 Iteration 00062400, loss   0.0268, accuracy 98.77, exact match 87.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:22 Iteration 00062500, loss   0.0206, accuracy 99.17, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:22 Iteration 00062600, loss   0.0237, accuracy 99.24, exact match 93.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:22 Iteration 00062700, loss   0.0193, accuracy 99.19, exact match 93.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:23 Iteration 00062800, loss   0.0328, accuracy 98.84, exact match 89.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:23 Iteration 00062900, loss   0.0344, accuracy 98.94, exact match 91.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:23 Iteration 00063000, loss   0.0255, accuracy 99.02, exact match 92.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:23 Evaluating..
2020-02-03 21:25 Predicted for 1821 examples.
2020-02-03 21:25 Done predicting in 78.03773069381714 seconds.
2020-02-03 21:25   Evaluation Accuracy: 97.13 Exact Match: 90.33  Target Accuracy:  0.00
2020-02-03 21:25 Iteration 00063100, loss   0.0173, accuracy 99.48, exact match 94.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:25 Iteration 00063200, loss   0.0204, accuracy 99.12, exact match 92.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:26 Iteration 00063300, loss   0.0279, accuracy 98.97, exact match 90.00, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:26 Iteration 00063400, loss   0.0314, accuracy 98.93, exact match 90.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:26 Iteration 00063500, loss   0.0364, accuracy 98.61, exact match 86.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:27 Iteration 00063600, loss   0.0272, accuracy 99.02, exact match 91.50, learning_rate 0.00072, aux. accuracy target pos  0.00
2020-02-03 21:27 Iteration 00063700, loss   0.0289, accuracy 98.95, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:27 Iteration 00063800, loss   0.0256, accuracy 99.04, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:28 Iteration 00063900, loss   0.0287, accuracy 98.86, exact match 90.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:28 Iteration 00064000, loss   0.0276, accuracy 99.01, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:28 Evaluating..
2020-02-03 21:29 Predicted for 1821 examples.
2020-02-03 21:29 Done predicting in 78.28822159767151 seconds.
2020-02-03 21:29   Evaluation Accuracy: 97.43 Exact Match: 91.32  Target Accuracy:  0.00
2020-02-03 21:30 Iteration 00064100, loss   0.0227, accuracy 99.17, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:30 Iteration 00064200, loss   0.0165, accuracy 99.48, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:30 Iteration 00064300, loss   0.0283, accuracy 99.21, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:31 Iteration 00064400, loss   0.0223, accuracy 99.34, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:31 Iteration 00064500, loss   0.0201, accuracy 99.17, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:31 Iteration 00064600, loss   0.0259, accuracy 99.06, exact match 91.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:32 Iteration 00064700, loss   0.0317, accuracy 99.12, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:32 Iteration 00064800, loss   0.0279, accuracy 98.97, exact match 90.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:32 Iteration 00064900, loss   0.0300, accuracy 99.07, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:33 Iteration 00065000, loss   0.0185, accuracy 99.33, exact match 93.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:33 Evaluating..
2020-02-03 21:34 Predicted for 1821 examples.
2020-02-03 21:34 Done predicting in 78.2594723701477 seconds.
2020-02-03 21:34   Evaluation Accuracy: 97.70 Exact Match: 91.65  Target Accuracy:  0.00
2020-02-03 21:34 Iteration 00065100, loss   0.0236, accuracy 99.04, exact match 91.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:35 Iteration 00065200, loss   0.0302, accuracy 98.83, exact match 89.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:35 Iteration 00065300, loss   0.0216, accuracy 98.99, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:35 Iteration 00065400, loss   0.0281, accuracy 99.03, exact match 89.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:36 Iteration 00065500, loss   0.0223, accuracy 99.07, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:36 Iteration 00065600, loss   0.0208, accuracy 99.34, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:36 Iteration 00065700, loss   0.0222, accuracy 99.53, exact match 96.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:37 Iteration 00065800, loss   0.0271, accuracy 98.95, exact match 89.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:37 Iteration 00065900, loss   0.0238, accuracy 99.04, exact match 90.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:37 Iteration 00066000, loss   0.0242, accuracy 99.21, exact match 92.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:37 Evaluating..
2020-02-03 21:39 Predicted for 1821 examples.
2020-02-03 21:39 Done predicting in 78.17882251739502 seconds.
2020-02-03 21:39   Evaluation Accuracy: 97.43 Exact Match: 91.21  Target Accuracy:  0.00
2020-02-03 21:39 Iteration 00066100, loss   0.0165, accuracy 99.43, exact match 94.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:39 Iteration 00066200, loss   0.0194, accuracy 99.37, exact match 94.50, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:40 Iteration 00066300, loss   0.0244, accuracy 99.14, exact match 92.00, learning_rate 0.00071, aux. accuracy target pos  0.00
2020-02-03 21:40 Iteration 00066400, loss   0.0368, accuracy 98.62, exact match 87.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:40 Iteration 00066500, loss   0.0270, accuracy 99.14, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:41 Iteration 00066600, loss   0.0146, accuracy 99.57, exact match 95.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:41 Iteration 00066700, loss   0.0161, accuracy 99.29, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:41 Iteration 00066800, loss   0.0243, accuracy 99.13, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:42 Iteration 00066900, loss   0.0168, accuracy 99.30, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:42 Iteration 00067000, loss   0.0167, accuracy 99.41, exact match 95.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:42 Evaluating..
2020-02-03 21:43 Predicted for 1821 examples.
2020-02-03 21:43 Done predicting in 78.29919743537903 seconds.
2020-02-03 21:43   Evaluation Accuracy: 97.37 Exact Match: 90.99  Target Accuracy:  0.00
2020-02-03 21:43 Iteration 00067100, loss   0.0179, accuracy 99.28, exact match 94.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:44 Iteration 00067200, loss   0.0188, accuracy 99.41, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:44 Iteration 00067300, loss   0.0280, accuracy 99.19, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:45 Iteration 00067400, loss   0.0186, accuracy 99.36, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:45 Iteration 00067500, loss   0.0278, accuracy 98.88, exact match 89.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:45 Iteration 00067600, loss   0.0244, accuracy 99.20, exact match 92.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:46 Iteration 00067700, loss   0.0255, accuracy 99.16, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:46 Iteration 00067800, loss   0.0154, accuracy 99.33, exact match 93.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:46 Iteration 00067900, loss   0.0223, accuracy 99.08, exact match 91.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:47 Iteration 00068000, loss   0.0117, accuracy 99.48, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:47 Evaluating..
2020-02-03 21:48 Predicted for 1821 examples.
2020-02-03 21:48 Done predicting in 78.2905170917511 seconds.
2020-02-03 21:48   Evaluation Accuracy: 97.80 Exact Match: 91.98  Target Accuracy:  0.00
2020-02-03 21:48 Iteration 00068100, loss   0.0206, accuracy 99.23, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:48 Iteration 00068200, loss   0.0227, accuracy 99.08, exact match 92.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:49 Iteration 00068300, loss   0.0342, accuracy 98.75, exact match 89.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:49 Iteration 00068400, loss   0.0255, accuracy 98.90, exact match 90.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:49 Iteration 00068500, loss   0.0203, accuracy 99.31, exact match 93.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:50 Iteration 00068600, loss   0.0280, accuracy 98.84, exact match 89.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:50 Iteration 00068700, loss   0.0175, accuracy 99.46, exact match 94.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:50 Iteration 00068800, loss   0.0206, accuracy 99.17, exact match 91.50, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:51 Iteration 00068900, loss   0.0258, accuracy 99.00, exact match 91.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:51 Iteration 00069000, loss   0.0225, accuracy 98.95, exact match 90.00, learning_rate 0.00070, aux. accuracy target pos  0.00
2020-02-03 21:51 Evaluating..
2020-02-03 21:52 Predicted for 1821 examples.
2020-02-03 21:52 Done predicting in 78.11302256584167 seconds.
2020-02-03 21:52   Evaluation Accuracy: 97.31 Exact Match: 90.72  Target Accuracy:  0.00
2020-02-03 21:53 Iteration 00069100, loss   0.0240, accuracy 99.11, exact match 91.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:53 Iteration 00069200, loss   0.0165, accuracy 99.46, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:53 Iteration 00069300, loss   0.0305, accuracy 99.07, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:54 Iteration 00069400, loss   0.0202, accuracy 99.38, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:54 Iteration 00069500, loss   0.0189, accuracy 99.24, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:54 Iteration 00069600, loss   0.0188, accuracy 99.25, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:55 Iteration 00069700, loss   0.0207, accuracy 99.47, exact match 94.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:55 Iteration 00069800, loss   0.0260, accuracy 99.17, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:56 Iteration 00069900, loss   0.0238, accuracy 98.94, exact match 89.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:56 Iteration 00070000, loss   0.0236, accuracy 99.21, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:56 Evaluating..
2020-02-03 21:57 Predicted for 1821 examples.
2020-02-03 21:57 Done predicting in 78.02560257911682 seconds.
2020-02-03 21:57   Evaluation Accuracy: 97.41 Exact Match: 91.49  Target Accuracy:  0.00
2020-02-03 21:57 Iteration 00070100, loss   0.0258, accuracy 98.98, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:58 Iteration 00070200, loss   0.0243, accuracy 99.14, exact match 91.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:58 Iteration 00070300, loss   0.0246, accuracy 99.00, exact match 89.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:58 Iteration 00070400, loss   0.0232, accuracy 99.29, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:59 Iteration 00070500, loss   0.0165, accuracy 99.39, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:59 Iteration 00070600, loss   0.0109, accuracy 99.59, exact match 96.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 21:59 Iteration 00070700, loss   0.0296, accuracy 98.95, exact match 91.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:00 Iteration 00070800, loss   0.0327, accuracy 98.92, exact match 90.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:00 Iteration 00070900, loss   0.0278, accuracy 99.19, exact match 92.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:01 Iteration 00071000, loss   0.0217, accuracy 99.01, exact match 90.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:01 Evaluating..
2020-02-03 22:02 Predicted for 1821 examples.
2020-02-03 22:02 Done predicting in 78.10768580436707 seconds.
2020-02-03 22:02   Evaluation Accuracy: 97.53 Exact Match: 91.98  Target Accuracy:  0.00
2020-02-03 22:02 Iteration 00071100, loss   0.0248, accuracy 98.85, exact match 88.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:02 Iteration 00071200, loss   0.0306, accuracy 99.22, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:03 Iteration 00071300, loss   0.0167, accuracy 99.36, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:03 Iteration 00071400, loss   0.0274, accuracy 99.04, exact match 91.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:03 Iteration 00071500, loss   0.0195, accuracy 99.28, exact match 92.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:04 Iteration 00071600, loss   0.0236, accuracy 99.21, exact match 93.50, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:04 Iteration 00071700, loss   0.0156, accuracy 99.37, exact match 94.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:04 Iteration 00071800, loss   0.0221, accuracy 99.32, exact match 93.00, learning_rate 0.00069, aux. accuracy target pos  0.00
2020-02-03 22:05 Iteration 00071900, loss   0.0322, accuracy 98.69, exact match 89.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:05 Iteration 00072000, loss   0.0168, accuracy 99.43, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:05 Evaluating..
2020-02-03 22:06 Predicted for 1821 examples.
2020-02-03 22:06 Done predicting in 78.25399565696716 seconds.
2020-02-03 22:06   Evaluation Accuracy: 97.56 Exact Match: 91.82  Target Accuracy:  0.00
2020-02-03 22:07 Iteration 00072100, loss   0.0305, accuracy 98.98, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:07 Iteration 00072200, loss   0.0285, accuracy 98.82, exact match 89.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:07 Iteration 00072300, loss   0.0131, accuracy 99.49, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:08 Iteration 00072400, loss   0.0219, accuracy 99.24, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:08 Iteration 00072500, loss   0.0209, accuracy 99.29, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:08 Iteration 00072600, loss   0.0145, accuracy 99.44, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:09 Iteration 00072700, loss   0.0202, accuracy 99.38, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:09 Iteration 00072800, loss   0.0211, accuracy 99.24, exact match 93.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:10 Iteration 00072900, loss   0.0181, accuracy 99.25, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:10 Iteration 00073000, loss   0.0166, accuracy 99.35, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:10 Evaluating..
2020-02-03 22:11 Predicted for 1821 examples.
2020-02-03 22:11 Done predicting in 78.40789651870728 seconds.
2020-02-03 22:11   Evaluation Accuracy: 97.77 Exact Match: 91.98  Target Accuracy:  0.00
2020-02-03 22:11 Iteration 00073100, loss   0.0290, accuracy 99.29, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:12 Iteration 00073200, loss   0.0199, accuracy 99.25, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:12 Iteration 00073300, loss   0.0267, accuracy 99.07, exact match 90.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:12 Iteration 00073400, loss   0.0274, accuracy 99.06, exact match 90.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:13 Iteration 00073500, loss   0.0141, accuracy 99.39, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:13 Iteration 00073600, loss   0.0142, accuracy 99.42, exact match 94.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:14 Iteration 00073700, loss   0.0221, accuracy 99.14, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:14 Iteration 00073800, loss   0.0267, accuracy 99.32, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:14 Iteration 00073900, loss   0.0271, accuracy 98.98, exact match 90.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:15 Iteration 00074000, loss   0.0261, accuracy 99.41, exact match 94.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:15 Evaluating..
2020-02-03 22:16 Predicted for 1821 examples.
2020-02-03 22:16 Done predicting in 78.08466720581055 seconds.
2020-02-03 22:16   Evaluation Accuracy: 97.84 Exact Match: 92.15  Target Accuracy:  0.00
2020-02-03 22:16 Iteration 00074100, loss   0.0180, accuracy 99.48, exact match 95.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:16 Iteration 00074200, loss   0.0255, accuracy 99.21, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:17 Iteration 00074300, loss   0.0202, accuracy 99.36, exact match 93.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:17 Iteration 00074400, loss   0.0207, accuracy 99.21, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:17 Iteration 00074500, loss   0.0183, accuracy 99.23, exact match 92.00, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:18 Iteration 00074600, loss   0.0201, accuracy 99.20, exact match 92.50, learning_rate 0.00068, aux. accuracy target pos  0.00
2020-02-03 22:18 Iteration 00074700, loss   0.0238, accuracy 99.07, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:19 Iteration 00074800, loss   0.0199, accuracy 99.36, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:19 Iteration 00074900, loss   0.0179, accuracy 99.37, exact match 94.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:19 Iteration 00075000, loss   0.0159, accuracy 99.29, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:19 Evaluating..
2020-02-03 22:20 Predicted for 1821 examples.
2020-02-03 22:20 Done predicting in 78.23788261413574 seconds.
2020-02-03 22:20   Evaluation Accuracy: 97.82 Exact Match: 92.48  Target Accuracy:  0.00
2020-02-03 22:21 Iteration 00075100, loss   0.0149, accuracy 99.54, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:21 Iteration 00075200, loss   0.0181, accuracy 99.39, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:22 Iteration 00075300, loss   0.0282, accuracy 99.07, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:22 Iteration 00075400, loss   0.0258, accuracy 99.07, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:22 Iteration 00075500, loss   0.0164, accuracy 99.46, exact match 97.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:23 Iteration 00075600, loss   0.0190, accuracy 99.42, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:23 Iteration 00075700, loss   0.0162, accuracy 99.27, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:23 Iteration 00075800, loss   0.0144, accuracy 99.44, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:24 Iteration 00075900, loss   0.0224, accuracy 99.49, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:24 Iteration 00076000, loss   0.0195, accuracy 99.20, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:24 Evaluating..
2020-02-03 22:25 Predicted for 1821 examples.
2020-02-03 22:25 Done predicting in 78.34845685958862 seconds.
2020-02-03 22:25   Evaluation Accuracy: 97.70 Exact Match: 91.76  Target Accuracy:  0.00
2020-02-03 22:26 Iteration 00076100, loss   0.0183, accuracy 99.46, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:26 Iteration 00076200, loss   0.0166, accuracy 99.40, exact match 94.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:26 Iteration 00076300, loss   0.0245, accuracy 99.26, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:27 Iteration 00076400, loss   0.0197, accuracy 99.25, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:27 Iteration 00076500, loss   0.0217, accuracy 99.11, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:27 Iteration 00076600, loss   0.0294, accuracy 99.17, exact match 92.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:28 Iteration 00076700, loss   0.0141, accuracy 99.53, exact match 96.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:28 Iteration 00076800, loss   0.0223, accuracy 99.27, exact match 93.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:28 Iteration 00076900, loss   0.0303, accuracy 98.99, exact match 90.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:29 Iteration 00077000, loss   0.0148, accuracy 99.43, exact match 95.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:29 Evaluating..
2020-02-03 22:30 Predicted for 1821 examples.
2020-02-03 22:30 Done predicting in 78.33388829231262 seconds.
2020-02-03 22:30   Evaluation Accuracy: 97.84 Exact Match: 92.53  Target Accuracy:  0.00
2020-02-03 22:30 Iteration 00077100, loss   0.0282, accuracy 99.00, exact match 90.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:31 Iteration 00077200, loss   0.0177, accuracy 99.41, exact match 93.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:31 Iteration 00077300, loss   0.0254, accuracy 99.31, exact match 92.50, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:31 Iteration 00077400, loss   0.0240, accuracy 99.02, exact match 91.00, learning_rate 0.00067, aux. accuracy target pos  0.00
2020-02-03 22:32 Iteration 00077500, loss   0.0191, accuracy 99.21, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:32 Iteration 00077600, loss   0.0199, accuracy 99.31, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:32 Iteration 00077700, loss   0.0193, accuracy 99.18, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:33 Iteration 00077800, loss   0.0204, accuracy 99.22, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:33 Iteration 00077900, loss   0.0213, accuracy 99.39, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:33 Iteration 00078000, loss   0.0178, accuracy 99.45, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:33 Evaluating..
2020-02-03 22:35 Predicted for 1821 examples.
2020-02-03 22:35 Done predicting in 78.27746105194092 seconds.
2020-02-03 22:35   Evaluation Accuracy: 97.66 Exact Match: 92.09  Target Accuracy:  0.00
2020-02-03 22:35 Iteration 00078100, loss   0.0121, accuracy 99.44, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:35 Iteration 00078200, loss   0.0328, accuracy 99.11, exact match 91.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:36 Iteration 00078300, loss   0.0238, accuracy 99.09, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:36 Iteration 00078400, loss   0.0196, accuracy 99.42, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:36 Iteration 00078500, loss   0.0178, accuracy 99.20, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:37 Iteration 00078600, loss   0.0271, accuracy 99.00, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:37 Iteration 00078700, loss   0.0219, accuracy 99.39, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:37 Iteration 00078800, loss   0.0200, accuracy 99.26, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:38 Iteration 00078900, loss   0.0182, accuracy 99.25, exact match 93.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:38 Iteration 00079000, loss   0.0179, accuracy 99.19, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:38 Evaluating..
2020-02-03 22:39 Predicted for 1821 examples.
2020-02-03 22:39 Done predicting in 78.5095944404602 seconds.
2020-02-03 22:39   Evaluation Accuracy: 97.57 Exact Match: 92.26  Target Accuracy:  0.00
2020-02-03 22:40 Iteration 00079100, loss   0.0205, accuracy 99.38, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:40 Iteration 00079200, loss   0.0212, accuracy 99.03, exact match 91.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:40 Iteration 00079300, loss   0.0241, accuracy 99.10, exact match 91.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:41 Iteration 00079400, loss   0.0192, accuracy 99.10, exact match 91.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:41 Iteration 00079500, loss   0.0284, accuracy 99.28, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:41 Iteration 00079600, loss   0.0152, accuracy 99.37, exact match 94.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:42 Iteration 00079700, loss   0.0180, accuracy 99.44, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:42 Iteration 00079800, loss   0.0151, accuracy 99.43, exact match 95.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:42 Iteration 00079900, loss   0.0143, accuracy 99.44, exact match 94.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:43 Iteration 00080000, loss   0.0252, accuracy 99.21, exact match 92.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:43 Evaluating..
2020-02-03 22:44 Predicted for 1821 examples.
2020-02-03 22:44 Done predicting in 78.44314670562744 seconds.
2020-02-03 22:44   Evaluation Accuracy: 98.00 Exact Match: 92.64  Target Accuracy:  0.00
2020-02-03 22:44 Iteration 00080100, loss   0.0106, accuracy 99.71, exact match 98.00, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:45 Iteration 00080200, loss   0.0138, accuracy 99.57, exact match 95.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:45 Iteration 00080300, loss   0.0223, accuracy 99.22, exact match 92.50, learning_rate 0.00066, aux. accuracy target pos  0.00
2020-02-03 22:45 Iteration 00080400, loss   0.0131, accuracy 99.39, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:46 Iteration 00080500, loss   0.0181, accuracy 99.44, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:46 Iteration 00080600, loss   0.0194, accuracy 99.28, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:46 Iteration 00080700, loss   0.0240, accuracy 99.27, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:47 Iteration 00080800, loss   0.0207, accuracy 99.12, exact match 91.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:47 Iteration 00080900, loss   0.0238, accuracy 99.06, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:47 Iteration 00081000, loss   0.0158, accuracy 99.22, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:47 Evaluating..
2020-02-03 22:49 Predicted for 1821 examples.
2020-02-03 22:49 Done predicting in 78.07588529586792 seconds.
2020-02-03 22:49   Evaluation Accuracy: 98.06 Exact Match: 92.92  Target Accuracy:  0.00
2020-02-03 22:49 Iteration 00081100, loss   0.0262, accuracy 99.19, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:49 Iteration 00081200, loss   0.0238, accuracy 99.31, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:50 Iteration 00081300, loss   0.0226, accuracy 99.40, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:50 Iteration 00081400, loss   0.0157, accuracy 99.38, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:50 Iteration 00081500, loss   0.0253, accuracy 99.30, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:51 Iteration 00081600, loss   0.0137, accuracy 99.39, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:51 Iteration 00081700, loss   0.0169, accuracy 99.47, exact match 95.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:51 Iteration 00081800, loss   0.0188, accuracy 99.23, exact match 92.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:52 Iteration 00081900, loss   0.0177, accuracy 99.37, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:52 Iteration 00082000, loss   0.0264, accuracy 98.97, exact match 90.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:52 Evaluating..
2020-02-03 22:53 Predicted for 1821 examples.
2020-02-03 22:53 Done predicting in 77.99731111526489 seconds.
2020-02-03 22:53   Evaluation Accuracy: 97.79 Exact Match: 92.59  Target Accuracy:  0.00
2020-02-03 22:54 Iteration 00082100, loss   0.0124, accuracy 99.52, exact match 95.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:54 Iteration 00082200, loss   0.0187, accuracy 99.34, exact match 94.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:54 Iteration 00082300, loss   0.0176, accuracy 99.48, exact match 94.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:55 Iteration 00082400, loss   0.0225, accuracy 99.35, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:55 Iteration 00082500, loss   0.0158, accuracy 99.24, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:55 Iteration 00082600, loss   0.0215, accuracy 99.12, exact match 91.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:56 Iteration 00082700, loss   0.0140, accuracy 99.31, exact match 92.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:56 Iteration 00082800, loss   0.0195, accuracy 99.35, exact match 93.50, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:56 Iteration 00082900, loss   0.0216, accuracy 99.25, exact match 93.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:57 Iteration 00083000, loss   0.0118, accuracy 99.81, exact match 98.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:57 Evaluating..
2020-02-03 22:58 Predicted for 1821 examples.
2020-02-03 22:58 Done predicting in 78.33757472038269 seconds.
2020-02-03 22:58   Evaluation Accuracy: 97.93 Exact Match: 92.92  Target Accuracy:  0.00
2020-02-03 22:58 Iteration 00083100, loss   0.0174, accuracy 99.52, exact match 96.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:59 Iteration 00083200, loss   0.0134, accuracy 99.58, exact match 97.00, learning_rate 0.00065, aux. accuracy target pos  0.00
2020-02-03 22:59 Iteration 00083300, loss   0.0226, accuracy 99.32, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 22:59 Iteration 00083400, loss   0.0167, accuracy 99.39, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:00 Iteration 00083500, loss   0.0203, accuracy 99.53, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:00 Iteration 00083600, loss   0.0226, accuracy 99.09, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:00 Iteration 00083700, loss   0.0163, accuracy 99.43, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:01 Iteration 00083800, loss   0.0101, accuracy 99.57, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:01 Iteration 00083900, loss   0.0201, accuracy 99.38, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:01 Iteration 00084000, loss   0.0196, accuracy 99.34, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:01 Evaluating..
2020-02-03 23:03 Predicted for 1821 examples.
2020-02-03 23:03 Done predicting in 78.16797375679016 seconds.
2020-02-03 23:03   Evaluation Accuracy: 97.89 Exact Match: 92.75  Target Accuracy:  0.00
2020-02-03 23:03 Iteration 00084100, loss   0.0160, accuracy 99.50, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:03 Iteration 00084200, loss   0.0203, accuracy 99.40, exact match 94.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:04 Iteration 00084300, loss   0.0139, accuracy 99.63, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:04 Iteration 00084400, loss   0.0171, accuracy 99.38, exact match 93.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:04 Iteration 00084500, loss   0.0105, accuracy 99.53, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:05 Iteration 00084600, loss   0.0188, accuracy 99.26, exact match 92.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:05 Iteration 00084700, loss   0.0137, accuracy 99.48, exact match 95.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:05 Iteration 00084800, loss   0.0158, accuracy 99.34, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:06 Iteration 00084900, loss   0.0103, accuracy 99.58, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:06 Iteration 00085000, loss   0.0127, accuracy 99.52, exact match 95.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:06 Evaluating..
2020-02-03 23:07 Predicted for 1821 examples.
2020-02-03 23:07 Done predicting in 78.28649926185608 seconds.
2020-02-03 23:07   Evaluation Accuracy: 97.85 Exact Match: 92.64  Target Accuracy:  0.00
2020-02-03 23:08 Iteration 00085100, loss   0.0179, accuracy 99.35, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:08 Iteration 00085200, loss   0.0338, accuracy 98.90, exact match 91.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:08 Iteration 00085300, loss   0.0202, accuracy 99.22, exact match 92.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:09 Iteration 00085400, loss   0.0116, accuracy 99.64, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:09 Iteration 00085500, loss   0.0231, accuracy 99.24, exact match 92.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:09 Iteration 00085600, loss   0.0170, accuracy 99.35, exact match 93.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:10 Iteration 00085700, loss   0.0143, accuracy 99.57, exact match 96.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:10 Iteration 00085800, loss   0.0154, accuracy 99.48, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:10 Iteration 00085900, loss   0.0224, accuracy 99.37, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:11 Iteration 00086000, loss   0.0302, accuracy 99.00, exact match 90.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:11 Evaluating..
2020-02-03 23:12 Predicted for 1821 examples.
2020-02-03 23:12 Done predicting in 78.36691641807556 seconds.
2020-02-03 23:12   Evaluation Accuracy: 97.80 Exact Match: 92.53  Target Accuracy:  0.00
2020-02-03 23:12 Iteration 00086100, loss   0.0172, accuracy 99.49, exact match 94.50, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:13 Iteration 00086200, loss   0.0188, accuracy 99.15, exact match 91.00, learning_rate 0.00064, aux. accuracy target pos  0.00
2020-02-03 23:13 Iteration 00086300, loss   0.0118, accuracy 99.62, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:13 Iteration 00086400, loss   0.0175, accuracy 99.38, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:14 Iteration 00086500, loss   0.0219, accuracy 99.33, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:14 Iteration 00086600, loss   0.0141, accuracy 99.48, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:14 Iteration 00086700, loss   0.0153, accuracy 99.37, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:15 Iteration 00086800, loss   0.0244, accuracy 99.33, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:15 Iteration 00086900, loss   0.0181, accuracy 99.52, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:15 Iteration 00087000, loss   0.0230, accuracy 99.47, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:15 Evaluating..
2020-02-03 23:17 Predicted for 1821 examples.
2020-02-03 23:17 Done predicting in 78.11731338500977 seconds.
2020-02-03 23:17   Evaluation Accuracy: 97.75 Exact Match: 92.59  Target Accuracy:  0.00
2020-02-03 23:17 Iteration 00087100, loss   0.0198, accuracy 99.51, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:17 Iteration 00087200, loss   0.0113, accuracy 99.54, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:18 Iteration 00087300, loss   0.0255, accuracy 99.15, exact match 92.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:18 Iteration 00087400, loss   0.0150, accuracy 99.57, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:18 Iteration 00087500, loss   0.0115, accuracy 99.68, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:19 Iteration 00087600, loss   0.0154, accuracy 99.58, exact match 96.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:19 Iteration 00087700, loss   0.0158, accuracy 99.37, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:19 Iteration 00087800, loss   0.0173, accuracy 99.43, exact match 94.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:20 Iteration 00087900, loss   0.0124, accuracy 99.53, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:20 Iteration 00088000, loss   0.0127, accuracy 99.54, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:20 Evaluating..
2020-02-03 23:21 Predicted for 1821 examples.
2020-02-03 23:21 Done predicting in 78.37384533882141 seconds.
2020-02-03 23:21   Evaluation Accuracy: 98.11 Exact Match: 93.52  Target Accuracy:  0.00
2020-02-03 23:22 Iteration 00088100, loss   0.0157, accuracy 99.61, exact match 96.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:22 Iteration 00088200, loss   0.0165, accuracy 99.24, exact match 92.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:22 Iteration 00088300, loss   0.0149, accuracy 99.30, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:23 Iteration 00088400, loss   0.0173, accuracy 99.31, exact match 93.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:23 Iteration 00088500, loss   0.0115, accuracy 99.57, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:23 Iteration 00088600, loss   0.0173, accuracy 99.35, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:24 Iteration 00088700, loss   0.0112, accuracy 99.44, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:24 Iteration 00088800, loss   0.0180, accuracy 99.54, exact match 95.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:24 Iteration 00088900, loss   0.0207, accuracy 99.31, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:25 Iteration 00089000, loss   0.0154, accuracy 99.37, exact match 93.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:25 Evaluating..
2020-02-03 23:26 Predicted for 1821 examples.
2020-02-03 23:26 Done predicting in 78.21896076202393 seconds.
2020-02-03 23:26   Evaluation Accuracy: 97.75 Exact Match: 92.42  Target Accuracy:  0.00
2020-02-03 23:26 Iteration 00089100, loss   0.0107, accuracy 99.51, exact match 95.00, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:27 Iteration 00089200, loss   0.0243, accuracy 99.34, exact match 94.50, learning_rate 0.00063, aux. accuracy target pos  0.00
2020-02-03 23:27 Iteration 00089300, loss   0.0196, accuracy 99.31, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:27 Iteration 00089400, loss   0.0067, accuracy 99.70, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:28 Iteration 00089500, loss   0.0203, accuracy 99.14, exact match 92.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:28 Iteration 00089600, loss   0.0148, accuracy 99.37, exact match 93.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:28 Iteration 00089700, loss   0.0168, accuracy 99.51, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:29 Iteration 00089800, loss   0.0135, accuracy 99.49, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:29 Iteration 00089900, loss   0.0243, accuracy 99.32, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:29 Iteration 00090000, loss   0.0162, accuracy 99.53, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:29 Evaluating..
2020-02-03 23:31 Predicted for 1821 examples.
2020-02-03 23:31 Done predicting in 78.39110445976257 seconds.
2020-02-03 23:31   Evaluation Accuracy: 98.13 Exact Match: 93.47  Target Accuracy:  0.00
2020-02-03 23:31 Iteration 00090100, loss   0.0131, accuracy 99.49, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:31 Iteration 00090200, loss   0.0110, accuracy 99.54, exact match 96.04, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:32 Iteration 00090300, loss   0.0088, accuracy 99.76, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:32 Iteration 00090400, loss   0.0113, accuracy 99.58, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:32 Iteration 00090500, loss   0.0113, accuracy 99.53, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:33 Iteration 00090600, loss   0.0103, accuracy 99.62, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:33 Iteration 00090700, loss   0.0115, accuracy 99.63, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:33 Iteration 00090800, loss   0.0144, accuracy 99.66, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:34 Iteration 00090900, loss   0.0129, accuracy 99.59, exact match 96.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:34 Iteration 00091000, loss   0.0164, accuracy 99.67, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:34 Evaluating..
2020-02-03 23:35 Predicted for 1821 examples.
2020-02-03 23:35 Done predicting in 78.08127760887146 seconds.
2020-02-03 23:35   Evaluation Accuracy: 98.03 Exact Match: 93.47  Target Accuracy:  0.00
2020-02-03 23:36 Iteration 00091100, loss   0.0229, accuracy 99.12, exact match 90.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:36 Iteration 00091200, loss   0.0096, accuracy 99.76, exact match 97.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:36 Iteration 00091300, loss   0.0118, accuracy 99.39, exact match 94.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:37 Iteration 00091400, loss   0.0121, accuracy 99.58, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:37 Iteration 00091500, loss   0.0095, accuracy 99.66, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:37 Iteration 00091600, loss   0.0190, accuracy 99.48, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:38 Iteration 00091700, loss   0.0179, accuracy 99.54, exact match 95.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:38 Iteration 00091800, loss   0.0123, accuracy 99.45, exact match 95.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:38 Iteration 00091900, loss   0.0150, accuracy 99.46, exact match 94.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:39 Iteration 00092000, loss   0.0123, accuracy 99.54, exact match 96.50, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:39 Evaluating..
2020-02-03 23:40 Predicted for 1821 examples.
2020-02-03 23:40 Done predicting in 78.12170743942261 seconds.
2020-02-03 23:40   Evaluation Accuracy: 97.77 Exact Match: 92.48  Target Accuracy:  0.00
2020-02-03 23:40 Iteration 00092100, loss   0.0182, accuracy 99.68, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:41 Iteration 00092200, loss   0.0095, accuracy 99.71, exact match 97.00, learning_rate 0.00062, aux. accuracy target pos  0.00
2020-02-03 23:41 Iteration 00092300, loss   0.0072, accuracy 99.71, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:41 Iteration 00092400, loss   0.0107, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:42 Iteration 00092500, loss   0.0170, accuracy 99.20, exact match 92.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:42 Iteration 00092600, loss   0.0148, accuracy 99.54, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:42 Iteration 00092700, loss   0.0195, accuracy 99.49, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:43 Iteration 00092800, loss   0.0145, accuracy 99.58, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:43 Iteration 00092900, loss   0.0100, accuracy 99.76, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:43 Iteration 00093000, loss   0.0103, accuracy 99.54, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:43 Evaluating..
2020-02-03 23:45 Predicted for 1821 examples.
2020-02-03 23:45 Done predicting in 78.30715584754944 seconds.
2020-02-03 23:45   Evaluation Accuracy: 98.11 Exact Match: 93.19  Target Accuracy:  0.00
2020-02-03 23:45 Iteration 00093100, loss   0.0095, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:45 Iteration 00093200, loss   0.0174, accuracy 99.50, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:46 Iteration 00093300, loss   0.0150, accuracy 99.43, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:46 Iteration 00093400, loss   0.0252, accuracy 99.20, exact match 92.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:46 Iteration 00093500, loss   0.0111, accuracy 99.56, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:47 Iteration 00093600, loss   0.0161, accuracy 99.44, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:47 Iteration 00093700, loss   0.0237, accuracy 99.10, exact match 92.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:47 Iteration 00093800, loss   0.0192, accuracy 99.25, exact match 92.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:48 Iteration 00093900, loss   0.0151, accuracy 99.49, exact match 95.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:48 Iteration 00094000, loss   0.0144, accuracy 99.59, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:48 Evaluating..
2020-02-03 23:49 Predicted for 1821 examples.
2020-02-03 23:49 Done predicting in 78.42012906074524 seconds.
2020-02-03 23:49   Evaluation Accuracy: 98.08 Exact Match: 93.52  Target Accuracy:  0.00
2020-02-03 23:50 Iteration 00094100, loss   0.0155, accuracy 99.36, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:50 Iteration 00094200, loss   0.0223, accuracy 99.34, exact match 93.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:50 Iteration 00094300, loss   0.0259, accuracy 99.21, exact match 93.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:51 Iteration 00094400, loss   0.0136, accuracy 99.47, exact match 95.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:51 Iteration 00094500, loss   0.0138, accuracy 99.45, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:51 Iteration 00094600, loss   0.0124, accuracy 99.57, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:52 Iteration 00094700, loss   0.0110, accuracy 99.67, exact match 96.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:52 Iteration 00094800, loss   0.0134, accuracy 99.44, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:52 Iteration 00094900, loss   0.0095, accuracy 99.71, exact match 97.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:53 Iteration 00095000, loss   0.0156, accuracy 99.47, exact match 94.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:53 Evaluating..
2020-02-03 23:54 Predicted for 1821 examples.
2020-02-03 23:54 Done predicting in 78.29776120185852 seconds.
2020-02-03 23:54   Evaluation Accuracy: 98.10 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-03 23:54 Iteration 00095100, loss   0.0132, accuracy 99.76, exact match 97.50, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:55 Iteration 00095200, loss   0.0168, accuracy 99.40, exact match 94.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:55 Iteration 00095300, loss   0.0142, accuracy 99.55, exact match 96.00, learning_rate 0.00061, aux. accuracy target pos  0.00
2020-02-03 23:55 Iteration 00095400, loss   0.0160, accuracy 99.47, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:56 Iteration 00095500, loss   0.0098, accuracy 99.67, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:56 Iteration 00095600, loss   0.0273, accuracy 99.20, exact match 92.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:56 Iteration 00095700, loss   0.0161, accuracy 99.44, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:57 Iteration 00095800, loss   0.0177, accuracy 99.27, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:57 Iteration 00095900, loss   0.0178, accuracy 99.33, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:57 Iteration 00096000, loss   0.0187, accuracy 99.19, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:57 Evaluating..
2020-02-03 23:59 Predicted for 1821 examples.
2020-02-03 23:59 Done predicting in 78.00053644180298 seconds.
2020-02-03 23:59   Evaluation Accuracy: 98.07 Exact Match: 94.07  Target Accuracy:  0.00
2020-02-03 23:59 Iteration 00096100, loss   0.0125, accuracy 99.44, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-03 23:59 Iteration 00096200, loss   0.0126, accuracy 99.58, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:00 Iteration 00096300, loss   0.0165, accuracy 99.40, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:00 Iteration 00096400, loss   0.0110, accuracy 99.65, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:00 Iteration 00096500, loss   0.0240, accuracy 99.06, exact match 90.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:01 Iteration 00096600, loss   0.0172, accuracy 99.47, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:01 Iteration 00096700, loss   0.0157, accuracy 99.57, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:01 Iteration 00096800, loss   0.0183, accuracy 99.47, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:02 Iteration 00096900, loss   0.0113, accuracy 99.62, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:02 Iteration 00097000, loss   0.0194, accuracy 99.38, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:02 Evaluating..
2020-02-04 00:03 Predicted for 1821 examples.
2020-02-04 00:03 Done predicting in 78.04869508743286 seconds.
2020-02-04 00:03   Evaluation Accuracy: 98.06 Exact Match: 93.63  Target Accuracy:  0.00
2020-02-04 00:04 Iteration 00097100, loss   0.0117, accuracy 99.57, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:04 Iteration 00097200, loss   0.0137, accuracy 99.48, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:04 Iteration 00097300, loss   0.0142, accuracy 99.52, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:05 Iteration 00097400, loss   0.0126, accuracy 99.63, exact match 96.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:05 Iteration 00097500, loss   0.0111, accuracy 99.71, exact match 97.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:05 Iteration 00097600, loss   0.0209, accuracy 99.21, exact match 92.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:06 Iteration 00097700, loss   0.0127, accuracy 99.56, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:06 Iteration 00097800, loss   0.0157, accuracy 99.47, exact match 95.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:06 Iteration 00097900, loss   0.0173, accuracy 99.32, exact match 93.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:07 Iteration 00098000, loss   0.0107, accuracy 99.63, exact match 96.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:07 Evaluating..
2020-02-04 00:08 Predicted for 1821 examples.
2020-02-04 00:08 Done predicting in 78.04461407661438 seconds.
2020-02-04 00:08   Evaluation Accuracy: 98.20 Exact Match: 93.68  Target Accuracy:  0.00
2020-02-04 00:08 Iteration 00098100, loss   0.0185, accuracy 99.32, exact match 94.00, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:09 Iteration 00098200, loss   0.0122, accuracy 99.58, exact match 95.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:09 Iteration 00098300, loss   0.0142, accuracy 99.36, exact match 94.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:09 Iteration 00098400, loss   0.0185, accuracy 99.31, exact match 93.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:10 Iteration 00098500, loss   0.0080, accuracy 99.76, exact match 97.50, learning_rate 0.00060, aux. accuracy target pos  0.00
2020-02-04 00:10 Iteration 00098600, loss   0.0192, accuracy 99.39, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:10 Iteration 00098700, loss   0.0126, accuracy 99.61, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:11 Iteration 00098800, loss   0.0100, accuracy 99.63, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:11 Iteration 00098900, loss   0.0162, accuracy 99.43, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:11 Iteration 00099000, loss   0.0122, accuracy 99.58, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:11 Evaluating..
2020-02-04 00:13 Predicted for 1821 examples.
2020-02-04 00:13 Done predicting in 77.98906922340393 seconds.
2020-02-04 00:13   Evaluation Accuracy: 98.03 Exact Match: 92.97  Target Accuracy:  0.00
2020-02-04 00:13 Iteration 00099100, loss   0.0171, accuracy 99.42, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:13 Iteration 00099200, loss   0.0126, accuracy 99.68, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:14 Iteration 00099300, loss   0.0115, accuracy 99.62, exact match 96.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:14 Iteration 00099400, loss   0.0220, accuracy 99.18, exact match 91.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:14 Iteration 00099500, loss   0.0117, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:15 Iteration 00099600, loss   0.0173, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:15 Iteration 00099700, loss   0.0129, accuracy 99.56, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:15 Iteration 00099800, loss   0.0183, accuracy 99.48, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:16 Iteration 00099900, loss   0.0120, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:16 Iteration 00100000, loss   0.0111, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:16 Evaluating..
2020-02-04 00:17 Predicted for 1821 examples.
2020-02-04 00:17 Done predicting in 77.95249795913696 seconds.
2020-02-04 00:17   Evaluation Accuracy: 97.79 Exact Match: 93.03  Target Accuracy:  0.00
2020-02-04 00:18 Iteration 00100100, loss   0.0144, accuracy 99.40, exact match 93.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:18 Iteration 00100200, loss   0.0183, accuracy 99.18, exact match 91.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:18 Iteration 00100300, loss   0.0125, accuracy 99.44, exact match 94.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:19 Iteration 00100400, loss   0.0154, accuracy 99.54, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:19 Iteration 00100500, loss   0.0212, accuracy 99.44, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:19 Iteration 00100600, loss   0.0234, accuracy 99.22, exact match 93.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:20 Iteration 00100700, loss   0.0087, accuracy 99.66, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:20 Iteration 00100800, loss   0.0144, accuracy 99.33, exact match 93.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:20 Iteration 00100900, loss   0.0096, accuracy 99.77, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:21 Iteration 00101000, loss   0.0166, accuracy 99.41, exact match 94.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:21 Evaluating..
2020-02-04 00:22 Predicted for 1821 examples.
2020-02-04 00:22 Done predicting in 78.0498104095459 seconds.
2020-02-04 00:22   Evaluation Accuracy: 98.10 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 00:22 Iteration 00101100, loss   0.0105, accuracy 99.62, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:22 Iteration 00101200, loss   0.0128, accuracy 99.42, exact match 95.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:23 Iteration 00101300, loss   0.0069, accuracy 99.77, exact match 98.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:23 Iteration 00101400, loss   0.0124, accuracy 99.53, exact match 95.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:23 Iteration 00101500, loss   0.0118, accuracy 99.62, exact match 96.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:24 Iteration 00101600, loss   0.0139, accuracy 99.77, exact match 97.50, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:24 Iteration 00101700, loss   0.0227, accuracy 99.13, exact match 92.00, learning_rate 0.00059, aux. accuracy target pos  0.00
2020-02-04 00:25 Iteration 00101800, loss   0.0119, accuracy 99.62, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:25 Iteration 00101900, loss   0.0094, accuracy 99.61, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:25 Iteration 00102000, loss   0.0113, accuracy 99.81, exact match 98.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:25 Evaluating..
2020-02-04 00:26 Predicted for 1821 examples.
2020-02-04 00:26 Done predicting in 77.91362571716309 seconds.
2020-02-04 00:26   Evaluation Accuracy: 97.84 Exact Match: 93.08  Target Accuracy:  0.00
2020-02-04 00:27 Iteration 00102100, loss   0.0094, accuracy 99.71, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:27 Iteration 00102200, loss   0.0121, accuracy 99.67, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:27 Iteration 00102300, loss   0.0181, accuracy 99.71, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:28 Iteration 00102400, loss   0.0070, accuracy 99.72, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:28 Iteration 00102500, loss   0.0104, accuracy 99.61, exact match 96.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:28 Iteration 00102600, loss   0.0178, accuracy 99.34, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:29 Iteration 00102700, loss   0.0134, accuracy 99.44, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:29 Iteration 00102800, loss   0.0137, accuracy 99.54, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:29 Iteration 00102900, loss   0.0111, accuracy 99.55, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:30 Iteration 00103000, loss   0.0099, accuracy 99.54, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:30 Evaluating..
2020-02-04 00:31 Predicted for 1821 examples.
2020-02-04 00:31 Done predicting in 78.00293159484863 seconds.
2020-02-04 00:31   Evaluation Accuracy: 98.09 Exact Match: 93.68  Target Accuracy:  0.00
2020-02-04 00:31 Iteration 00103100, loss   0.0193, accuracy 99.19, exact match 92.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:32 Iteration 00103200, loss   0.0166, accuracy 99.42, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:32 Iteration 00103300, loss   0.0110, accuracy 99.52, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:32 Iteration 00103400, loss   0.0106, accuracy 99.76, exact match 97.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:33 Iteration 00103500, loss   0.0075, accuracy 99.85, exact match 98.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:33 Iteration 00103600, loss   0.0145, accuracy 99.54, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:33 Iteration 00103700, loss   0.0181, accuracy 99.47, exact match 94.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:34 Iteration 00103800, loss   0.0108, accuracy 99.72, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:34 Iteration 00103900, loss   0.0072, accuracy 99.71, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:34 Iteration 00104000, loss   0.0131, accuracy 99.58, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:34 Evaluating..
2020-02-04 00:36 Predicted for 1821 examples.
2020-02-04 00:36 Done predicting in 78.0741937160492 seconds.
2020-02-04 00:36   Evaluation Accuracy: 97.99 Exact Match: 93.52  Target Accuracy:  0.00
2020-02-04 00:36 Iteration 00104100, loss   0.0209, accuracy 99.52, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:36 Iteration 00104200, loss   0.0125, accuracy 99.55, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:37 Iteration 00104300, loss   0.0215, accuracy 99.36, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:37 Iteration 00104400, loss   0.0103, accuracy 99.63, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:37 Iteration 00104500, loss   0.0174, accuracy 99.41, exact match 95.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:38 Iteration 00104600, loss   0.0121, accuracy 99.66, exact match 97.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:38 Iteration 00104700, loss   0.0114, accuracy 99.62, exact match 96.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:38 Iteration 00104800, loss   0.0173, accuracy 99.41, exact match 94.00, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:39 Iteration 00104900, loss   0.0140, accuracy 99.56, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:39 Iteration 00105000, loss   0.0148, accuracy 99.52, exact match 95.50, learning_rate 0.00058, aux. accuracy target pos  0.00
2020-02-04 00:39 Evaluating..
2020-02-04 00:40 Predicted for 1821 examples.
2020-02-04 00:40 Done predicting in 78.09549379348755 seconds.
2020-02-04 00:40   Evaluation Accuracy: 98.11 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-04 00:41 Iteration 00105100, loss   0.0154, accuracy 99.40, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:41 Iteration 00105200, loss   0.0165, accuracy 99.40, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:41 Iteration 00105300, loss   0.0159, accuracy 99.46, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:42 Iteration 00105400, loss   0.0135, accuracy 99.61, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:42 Iteration 00105500, loss   0.0107, accuracy 99.71, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:42 Iteration 00105600, loss   0.0176, accuracy 99.32, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:43 Iteration 00105700, loss   0.0141, accuracy 99.48, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:43 Iteration 00105800, loss   0.0077, accuracy 99.76, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:43 Iteration 00105900, loss   0.0101, accuracy 99.63, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:44 Iteration 00106000, loss   0.0210, accuracy 99.44, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:44 Evaluating..
2020-02-04 00:45 Predicted for 1821 examples.
2020-02-04 00:45 Done predicting in 77.95482850074768 seconds.
2020-02-04 00:45   Evaluation Accuracy: 98.00 Exact Match: 93.47  Target Accuracy:  0.00
2020-02-04 00:45 Iteration 00106100, loss   0.0079, accuracy 99.72, exact match 97.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:46 Iteration 00106200, loss   0.0145, accuracy 99.43, exact match 94.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:46 Iteration 00106300, loss   0.0179, accuracy 99.58, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:46 Iteration 00106400, loss   0.0125, accuracy 99.49, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:47 Iteration 00106500, loss   0.0150, accuracy 99.39, exact match 93.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:47 Iteration 00106600, loss   0.0159, accuracy 99.49, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:47 Iteration 00106700, loss   0.0117, accuracy 99.54, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:48 Iteration 00106800, loss   0.0116, accuracy 99.67, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:48 Iteration 00106900, loss   0.0159, accuracy 99.58, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:48 Iteration 00107000, loss   0.0108, accuracy 99.58, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:48 Evaluating..
2020-02-04 00:50 Predicted for 1821 examples.
2020-02-04 00:50 Done predicting in 78.0869734287262 seconds.
2020-02-04 00:50   Evaluation Accuracy: 98.06 Exact Match: 93.96  Target Accuracy:  0.00
2020-02-04 00:50 Iteration 00107100, loss   0.0141, accuracy 99.54, exact match 95.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:50 Iteration 00107200, loss   0.0106, accuracy 99.52, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:51 Iteration 00107300, loss   0.0203, accuracy 99.25, exact match 92.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:51 Iteration 00107400, loss   0.0066, accuracy 99.72, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:51 Iteration 00107500, loss   0.0086, accuracy 99.69, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:52 Iteration 00107600, loss   0.0183, accuracy 99.49, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:52 Iteration 00107700, loss   0.0087, accuracy 99.67, exact match 96.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:52 Iteration 00107800, loss   0.0109, accuracy 99.60, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:53 Iteration 00107900, loss   0.0151, accuracy 99.38, exact match 94.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:53 Iteration 00108000, loss   0.0227, accuracy 99.57, exact match 96.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:53 Evaluating..
2020-02-04 00:54 Predicted for 1821 examples.
2020-02-04 00:54 Done predicting in 78.09220957756042 seconds.
2020-02-04 00:54   Evaluation Accuracy: 97.78 Exact Match: 93.14  Target Accuracy:  0.00
2020-02-04 00:55 Iteration 00108100, loss   0.0097, accuracy 99.72, exact match 97.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:55 Iteration 00108200, loss   0.0346, accuracy 98.82, exact match 90.00, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:55 Iteration 00108300, loss   0.0151, accuracy 99.53, exact match 95.50, learning_rate 0.00057, aux. accuracy target pos  0.00
2020-02-04 00:56 Iteration 00108400, loss   0.0175, accuracy 99.42, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:56 Iteration 00108500, loss   0.0088, accuracy 99.71, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:56 Iteration 00108600, loss   0.0151, accuracy 99.52, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:57 Iteration 00108700, loss   0.0135, accuracy 99.52, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:57 Iteration 00108800, loss   0.0137, accuracy 99.30, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:57 Iteration 00108900, loss   0.0136, accuracy 99.41, exact match 94.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:58 Iteration 00109000, loss   0.0085, accuracy 99.81, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 00:58 Evaluating..
2020-02-04 00:59 Predicted for 1821 examples.
2020-02-04 00:59 Done predicting in 78.14607334136963 seconds.
2020-02-04 00:59   Evaluation Accuracy: 98.00 Exact Match: 93.36  Target Accuracy:  0.00
2020-02-04 00:59 Iteration 00109100, loss   0.0145, accuracy 99.51, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:00 Iteration 00109200, loss   0.0089, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:00 Iteration 00109300, loss   0.0132, accuracy 99.54, exact match 95.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:00 Iteration 00109400, loss   0.0078, accuracy 99.81, exact match 98.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:01 Iteration 00109500, loss   0.0184, accuracy 99.49, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:01 Iteration 00109600, loss   0.0071, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:01 Iteration 00109700, loss   0.0196, accuracy 99.22, exact match 93.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:02 Iteration 00109800, loss   0.0160, accuracy 99.44, exact match 94.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:02 Iteration 00109900, loss   0.0162, accuracy 99.54, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:02 Iteration 00110000, loss   0.0187, accuracy 99.44, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:02 Evaluating..
2020-02-04 01:04 Predicted for 1821 examples.
2020-02-04 01:04 Done predicting in 78.24649167060852 seconds.
2020-02-04 01:04   Evaluation Accuracy: 97.99 Exact Match: 93.41  Target Accuracy:  0.00
2020-02-04 01:04 Iteration 00110100, loss   0.0097, accuracy 99.68, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:04 Iteration 00110200, loss   0.0117, accuracy 99.48, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:05 Iteration 00110300, loss   0.0074, accuracy 99.76, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:05 Iteration 00110400, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:05 Iteration 00110500, loss   0.0110, accuracy 99.62, exact match 96.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:06 Iteration 00110600, loss   0.0115, accuracy 99.53, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:06 Iteration 00110700, loss   0.0204, accuracy 99.35, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:06 Iteration 00110800, loss   0.0143, accuracy 99.35, exact match 93.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:07 Iteration 00110900, loss   0.0214, accuracy 99.19, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:07 Iteration 00111000, loss   0.0112, accuracy 99.77, exact match 97.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:07 Evaluating..
2020-02-04 01:08 Predicted for 1821 examples.
2020-02-04 01:08 Done predicting in 78.21828746795654 seconds.
2020-02-04 01:08   Evaluation Accuracy: 98.18 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-04 01:09 Iteration 00111100, loss   0.0152, accuracy 99.58, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:09 Iteration 00111200, loss   0.0187, accuracy 99.34, exact match 94.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:09 Iteration 00111300, loss   0.0103, accuracy 99.71, exact match 97.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:10 Iteration 00111400, loss   0.0205, accuracy 99.47, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:10 Iteration 00111500, loss   0.0224, accuracy 99.16, exact match 92.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:10 Iteration 00111600, loss   0.0139, accuracy 99.50, exact match 94.50, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:11 Iteration 00111700, loss   0.0177, accuracy 99.53, exact match 95.00, learning_rate 0.00056, aux. accuracy target pos  0.00
2020-02-04 01:11 Iteration 00111800, loss   0.0136, accuracy 99.56, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:11 Iteration 00111900, loss   0.0149, accuracy 99.26, exact match 92.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:12 Iteration 00112000, loss   0.0160, accuracy 99.44, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:12 Evaluating..
2020-02-04 01:13 Predicted for 1821 examples.
2020-02-04 01:13 Done predicting in 78.19617366790771 seconds.
2020-02-04 01:13   Evaluation Accuracy: 98.04 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-04 01:13 Iteration 00112100, loss   0.0109, accuracy 99.63, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:14 Iteration 00112200, loss   0.0092, accuracy 99.72, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:14 Iteration 00112300, loss   0.0122, accuracy 99.61, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:14 Iteration 00112400, loss   0.0123, accuracy 99.52, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:15 Iteration 00112500, loss   0.0121, accuracy 99.38, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:15 Iteration 00112600, loss   0.0097, accuracy 99.67, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:15 Iteration 00112700, loss   0.0101, accuracy 99.59, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:16 Iteration 00112800, loss   0.0073, accuracy 99.76, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:16 Iteration 00112900, loss   0.0077, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:16 Iteration 00113000, loss   0.0061, accuracy 99.95, exact match 99.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:16 Evaluating..
2020-02-04 01:18 Predicted for 1821 examples.
2020-02-04 01:18 Done predicting in 78.11432361602783 seconds.
2020-02-04 01:18   Evaluation Accuracy: 98.07 Exact Match: 93.90  Target Accuracy:  0.00
2020-02-04 01:18 Iteration 00113100, loss   0.0102, accuracy 99.62, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:18 Iteration 00113200, loss   0.0063, accuracy 99.86, exact match 98.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:19 Iteration 00113300, loss   0.0101, accuracy 99.62, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:19 Iteration 00113400, loss   0.0164, accuracy 99.57, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:19 Iteration 00113500, loss   0.0109, accuracy 99.63, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:20 Iteration 00113600, loss   0.0172, accuracy 99.27, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:20 Iteration 00113700, loss   0.0147, accuracy 99.63, exact match 96.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:20 Iteration 00113800, loss   0.0085, accuracy 99.71, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:21 Iteration 00113900, loss   0.0130, accuracy 99.42, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:21 Iteration 00114000, loss   0.0073, accuracy 99.67, exact match 97.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:21 Evaluating..
2020-02-04 01:22 Predicted for 1821 examples.
2020-02-04 01:22 Done predicting in 78.09942102432251 seconds.
2020-02-04 01:22   Evaluation Accuracy: 98.33 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-04 01:23 Iteration 00114100, loss   0.0065, accuracy 99.90, exact match 99.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:23 Iteration 00114200, loss   0.0160, accuracy 99.60, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:23 Iteration 00114300, loss   0.0153, accuracy 99.27, exact match 92.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:24 Iteration 00114400, loss   0.0136, accuracy 99.36, exact match 93.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:24 Iteration 00114500, loss   0.0125, accuracy 99.42, exact match 95.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:24 Iteration 00114600, loss   0.0135, accuracy 99.51, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:25 Iteration 00114700, loss   0.0117, accuracy 99.62, exact match 96.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:25 Iteration 00114800, loss   0.0073, accuracy 99.76, exact match 98.00, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:25 Iteration 00114900, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:26 Iteration 00115000, loss   0.0110, accuracy 99.49, exact match 94.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:26 Evaluating..
2020-02-04 01:27 Predicted for 1821 examples.
2020-02-04 01:27 Done predicting in 78.27369260787964 seconds.
2020-02-04 01:27   Evaluation Accuracy: 98.28 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 01:27 Iteration 00115100, loss   0.0107, accuracy 99.57, exact match 95.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:28 Iteration 00115200, loss   0.0078, accuracy 99.76, exact match 97.50, learning_rate 0.00055, aux. accuracy target pos  0.00
2020-02-04 01:28 Iteration 00115300, loss   0.0164, accuracy 99.37, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:28 Iteration 00115400, loss   0.0116, accuracy 99.53, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:29 Iteration 00115500, loss   0.0065, accuracy 99.80, exact match 98.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:29 Iteration 00115600, loss   0.0310, accuracy 99.47, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:29 Iteration 00115700, loss   0.0353, accuracy 99.26, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:30 Iteration 00115800, loss   0.0128, accuracy 99.54, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:30 Iteration 00115900, loss   0.0128, accuracy 99.42, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:30 Iteration 00116000, loss   0.0100, accuracy 99.56, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:30 Evaluating..
2020-02-04 01:32 Predicted for 1821 examples.
2020-02-04 01:32 Done predicting in 78.08526992797852 seconds.
2020-02-04 01:32   Evaluation Accuracy: 98.10 Exact Match: 93.63  Target Accuracy:  0.00
2020-02-04 01:32 Iteration 00116100, loss   0.0098, accuracy 99.85, exact match 98.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:32 Iteration 00116200, loss   0.0089, accuracy 99.67, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:33 Iteration 00116300, loss   0.0143, accuracy 99.49, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:33 Iteration 00116400, loss   0.0106, accuracy 99.58, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:33 Iteration 00116500, loss   0.0166, accuracy 99.68, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:34 Iteration 00116600, loss   0.0183, accuracy 99.56, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:34 Iteration 00116700, loss   0.0087, accuracy 99.58, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:34 Iteration 00116800, loss   0.0185, accuracy 99.51, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:35 Iteration 00116900, loss   0.0143, accuracy 99.63, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:35 Iteration 00117000, loss   0.0161, accuracy 99.47, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:35 Evaluating..
2020-02-04 01:36 Predicted for 1821 examples.
2020-02-04 01:36 Done predicting in 78.36258721351624 seconds.
2020-02-04 01:36   Evaluation Accuracy: 98.09 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-04 01:37 Iteration 00117100, loss   0.0176, accuracy 99.45, exact match 94.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:37 Iteration 00117200, loss   0.0141, accuracy 99.43, exact match 94.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:37 Iteration 00117300, loss   0.0152, accuracy 99.58, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:38 Iteration 00117400, loss   0.0132, accuracy 99.47, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:38 Iteration 00117500, loss   0.0108, accuracy 99.48, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:38 Iteration 00117600, loss   0.0079, accuracy 99.77, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:39 Iteration 00117700, loss   0.0086, accuracy 99.72, exact match 97.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:39 Iteration 00117800, loss   0.0131, accuracy 99.63, exact match 96.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:39 Iteration 00117900, loss   0.0155, accuracy 99.49, exact match 95.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:40 Iteration 00118000, loss   0.0152, accuracy 99.29, exact match 92.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:40 Evaluating..
2020-02-04 01:41 Predicted for 1821 examples.
2020-02-04 01:41 Done predicting in 78.26250052452087 seconds.
2020-02-04 01:41   Evaluation Accuracy: 98.12 Exact Match: 93.57  Target Accuracy:  0.00
2020-02-04 01:41 Iteration 00118100, loss   0.0210, accuracy 99.19, exact match 92.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:42 Iteration 00118200, loss   0.0127, accuracy 99.62, exact match 96.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:42 Iteration 00118300, loss   0.0077, accuracy 99.76, exact match 97.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:42 Iteration 00118400, loss   0.0098, accuracy 99.57, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:43 Iteration 00118500, loss   0.0199, accuracy 99.36, exact match 93.00, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:43 Iteration 00118600, loss   0.0127, accuracy 99.40, exact match 93.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:43 Iteration 00118700, loss   0.0107, accuracy 99.55, exact match 95.50, learning_rate 0.00054, aux. accuracy target pos  0.00
2020-02-04 01:44 Iteration 00118800, loss   0.0152, accuracy 99.45, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:44 Iteration 00118900, loss   0.0186, accuracy 99.48, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:44 Iteration 00119000, loss   0.0120, accuracy 99.45, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:44 Evaluating..
2020-02-04 01:46 Predicted for 1821 examples.
2020-02-04 01:46 Done predicting in 78.42503070831299 seconds.
2020-02-04 01:46   Evaluation Accuracy: 98.31 Exact Match: 94.40  Target Accuracy:  0.00
2020-02-04 01:46 Iteration 00119100, loss   0.0104, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:46 Iteration 00119200, loss   0.0131, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:47 Iteration 00119300, loss   0.0051, accuracy 99.90, exact match 99.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:47 Iteration 00119400, loss   0.0086, accuracy 99.76, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:47 Iteration 00119500, loss   0.0057, accuracy 99.91, exact match 99.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:48 Iteration 00119600, loss   0.0209, accuracy 99.63, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:48 Iteration 00119700, loss   0.0120, accuracy 99.51, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:48 Iteration 00119800, loss   0.0131, accuracy 99.52, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:49 Iteration 00119900, loss   0.0084, accuracy 99.72, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:49 Iteration 00120000, loss   0.0091, accuracy 99.67, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:49 Evaluating..
2020-02-04 01:50 Predicted for 1821 examples.
2020-02-04 01:50 Done predicting in 78.0893886089325 seconds.
2020-02-04 01:50   Evaluation Accuracy: 98.01 Exact Match: 93.52  Target Accuracy:  0.00
2020-02-04 01:51 Iteration 00120100, loss   0.0091, accuracy 99.71, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:51 Iteration 00120200, loss   0.0097, accuracy 99.72, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:51 Iteration 00120300, loss   0.0112, accuracy 99.54, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:52 Iteration 00120400, loss   0.0130, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:52 Iteration 00120500, loss   0.0099, accuracy 99.67, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:52 Iteration 00120600, loss   0.0082, accuracy 99.70, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:53 Iteration 00120700, loss   0.0111, accuracy 99.59, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:53 Iteration 00120800, loss   0.0131, accuracy 99.58, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:53 Iteration 00120900, loss   0.0115, accuracy 99.77, exact match 97.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:54 Iteration 00121000, loss   0.0147, accuracy 99.68, exact match 96.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:54 Evaluating..
2020-02-04 01:55 Predicted for 1821 examples.
2020-02-04 01:55 Done predicting in 78.28456401824951 seconds.
2020-02-04 01:55   Evaluation Accuracy: 98.45 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 01:55 Iteration 00121100, loss   0.0156, accuracy 99.48, exact match 95.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:56 Iteration 00121200, loss   0.0074, accuracy 99.71, exact match 97.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:56 Iteration 00121300, loss   0.0160, accuracy 99.48, exact match 94.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:56 Iteration 00121400, loss   0.0155, accuracy 99.57, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:57 Iteration 00121500, loss   0.0054, accuracy 99.77, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:57 Iteration 00121600, loss   0.0145, accuracy 99.53, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:57 Iteration 00121700, loss   0.0224, accuracy 99.47, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:58 Iteration 00121800, loss   0.0092, accuracy 99.59, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:58 Iteration 00121900, loss   0.0139, accuracy 99.61, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:58 Iteration 00122000, loss   0.0133, accuracy 99.53, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 01:58 Evaluating..
2020-02-04 02:00 Predicted for 1821 examples.
2020-02-04 02:00 Done predicting in 78.1300961971283 seconds.
2020-02-04 02:00   Evaluation Accuracy: 98.08 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-04 02:00 Iteration 00122100, loss   0.0133, accuracy 99.57, exact match 96.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 02:00 Iteration 00122200, loss   0.0106, accuracy 99.58, exact match 95.50, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 02:01 Iteration 00122300, loss   0.0106, accuracy 99.81, exact match 98.00, learning_rate 0.00053, aux. accuracy target pos  0.00
2020-02-04 02:01 Iteration 00122400, loss   0.0184, accuracy 99.62, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:01 Iteration 00122500, loss   0.0215, accuracy 99.34, exact match 94.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:02 Iteration 00122600, loss   0.0108, accuracy 99.70, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:02 Iteration 00122700, loss   0.0163, accuracy 99.50, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:02 Iteration 00122800, loss   0.0104, accuracy 99.67, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:03 Iteration 00122900, loss   0.0244, accuracy 99.39, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:03 Iteration 00123000, loss   0.0054, accuracy 99.91, exact match 99.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:03 Evaluating..
2020-02-04 02:04 Predicted for 1821 examples.
2020-02-04 02:04 Done predicting in 78.18613386154175 seconds.
2020-02-04 02:04   Evaluation Accuracy: 98.14 Exact Match: 94.40  Target Accuracy:  0.00
2020-02-04 02:05 Iteration 00123100, loss   0.0073, accuracy 99.66, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:05 Iteration 00123200, loss   0.0149, accuracy 99.44, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:05 Iteration 00123300, loss   0.0076, accuracy 99.80, exact match 98.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:06 Iteration 00123400, loss   0.0091, accuracy 99.58, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:06 Iteration 00123500, loss   0.0149, accuracy 99.31, exact match 93.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:06 Iteration 00123600, loss   0.0159, accuracy 99.62, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:07 Iteration 00123700, loss   0.0123, accuracy 99.61, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:07 Iteration 00123800, loss   0.0091, accuracy 99.62, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:07 Iteration 00123900, loss   0.0080, accuracy 99.67, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:08 Iteration 00124000, loss   0.0121, accuracy 99.59, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:08 Evaluating..
2020-02-04 02:09 Predicted for 1821 examples.
2020-02-04 02:09 Done predicting in 78.12574124336243 seconds.
2020-02-04 02:09   Evaluation Accuracy: 98.09 Exact Match: 93.90  Target Accuracy:  0.00
2020-02-04 02:09 Iteration 00124100, loss   0.0094, accuracy 99.66, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:10 Iteration 00124200, loss   0.0125, accuracy 99.63, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:10 Iteration 00124300, loss   0.0152, accuracy 99.68, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:10 Iteration 00124400, loss   0.0236, accuracy 99.44, exact match 95.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:11 Iteration 00124500, loss   0.0065, accuracy 99.86, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:11 Iteration 00124600, loss   0.0180, accuracy 99.52, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:11 Iteration 00124700, loss   0.0105, accuracy 99.58, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:12 Iteration 00124800, loss   0.0161, accuracy 99.53, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:12 Iteration 00124900, loss   0.0085, accuracy 99.62, exact match 97.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:12 Iteration 00125000, loss   0.0137, accuracy 99.59, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:12 Evaluating..
2020-02-04 02:14 Predicted for 1821 examples.
2020-02-04 02:14 Done predicting in 78.22369480133057 seconds.
2020-02-04 02:14   Evaluation Accuracy: 98.15 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-04 02:14 Iteration 00125100, loss   0.0200, accuracy 99.31, exact match 94.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:14 Iteration 00125200, loss   0.0154, accuracy 99.36, exact match 93.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:15 Iteration 00125300, loss   0.0089, accuracy 99.77, exact match 97.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:15 Iteration 00125400, loss   0.0096, accuracy 99.67, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:15 Iteration 00125500, loss   0.0065, accuracy 99.86, exact match 98.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:16 Iteration 00125600, loss   0.0095, accuracy 99.63, exact match 96.00, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:16 Iteration 00125700, loss   0.0130, accuracy 99.43, exact match 94.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:16 Iteration 00125800, loss   0.0244, accuracy 99.34, exact match 95.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:17 Iteration 00125900, loss   0.0083, accuracy 99.67, exact match 96.50, learning_rate 0.00052, aux. accuracy target pos  0.00
2020-02-04 02:17 Iteration 00126000, loss   0.0148, accuracy 99.47, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:17 Evaluating..
2020-02-04 02:18 Predicted for 1821 examples.
2020-02-04 02:18 Done predicting in 78.24139165878296 seconds.
2020-02-04 02:18   Evaluation Accuracy: 98.29 Exact Match: 94.23  Target Accuracy:  0.00
2020-02-04 02:19 Iteration 00126100, loss   0.0150, accuracy 99.44, exact match 94.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:19 Iteration 00126200, loss   0.0100, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:19 Iteration 00126300, loss   0.0109, accuracy 99.53, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:20 Iteration 00126400, loss   0.0130, accuracy 99.66, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:20 Iteration 00126500, loss   0.0086, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:20 Iteration 00126600, loss   0.0074, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:21 Iteration 00126700, loss   0.0136, accuracy 99.23, exact match 93.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:21 Iteration 00126800, loss   0.0131, accuracy 99.49, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:21 Iteration 00126900, loss   0.0151, accuracy 99.43, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:22 Iteration 00127000, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:22 Evaluating..
2020-02-04 02:23 Predicted for 1821 examples.
2020-02-04 02:23 Done predicting in 78.09880566596985 seconds.
2020-02-04 02:23   Evaluation Accuracy: 98.37 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-04 02:23 Iteration 00127100, loss   0.0130, accuracy 99.55, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:24 Iteration 00127200, loss   0.0086, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:24 Iteration 00127300, loss   0.0109, accuracy 99.42, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:24 Iteration 00127400, loss   0.0118, accuracy 99.58, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:25 Iteration 00127500, loss   0.0097, accuracy 99.62, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:25 Iteration 00127600, loss   0.0058, accuracy 99.82, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:25 Iteration 00127700, loss   0.0141, accuracy 99.51, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:26 Iteration 00127800, loss   0.0134, accuracy 99.67, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:26 Iteration 00127900, loss   0.0069, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:26 Iteration 00128000, loss   0.0118, accuracy 99.51, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:26 Evaluating..
2020-02-04 02:28 Predicted for 1821 examples.
2020-02-04 02:28 Done predicting in 78.19501996040344 seconds.
2020-02-04 02:28   Evaluation Accuracy: 98.17 Exact Match: 94.01  Target Accuracy:  0.00
2020-02-04 02:28 Iteration 00128100, loss   0.0092, accuracy 99.80, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:28 Iteration 00128200, loss   0.0082, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:29 Iteration 00128300, loss   0.0103, accuracy 99.63, exact match 96.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:29 Iteration 00128400, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:29 Iteration 00128500, loss   0.0147, accuracy 99.49, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:30 Iteration 00128600, loss   0.0106, accuracy 99.57, exact match 95.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:30 Iteration 00128700, loss   0.0101, accuracy 99.77, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:30 Iteration 00128800, loss   0.0069, accuracy 99.71, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:31 Iteration 00128900, loss   0.0146, accuracy 99.82, exact match 98.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:31 Iteration 00129000, loss   0.0063, accuracy 99.76, exact match 97.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:31 Evaluating..
2020-02-04 02:32 Predicted for 1821 examples.
2020-02-04 02:32 Done predicting in 78.05969190597534 seconds.
2020-02-04 02:32   Evaluation Accuracy: 98.01 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-04 02:33 Iteration 00129100, loss   0.0092, accuracy 99.62, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:33 Iteration 00129200, loss   0.0158, accuracy 99.44, exact match 94.50, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:33 Iteration 00129300, loss   0.0125, accuracy 99.50, exact match 95.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:34 Iteration 00129400, loss   0.0108, accuracy 99.71, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:34 Iteration 00129500, loss   0.0099, accuracy 99.62, exact match 96.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:34 Iteration 00129600, loss   0.0068, accuracy 99.71, exact match 97.00, learning_rate 0.00051, aux. accuracy target pos  0.00
2020-02-04 02:35 Iteration 00129700, loss   0.0211, accuracy 99.17, exact match 91.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:35 Iteration 00129800, loss   0.0087, accuracy 99.61, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:35 Iteration 00129900, loss   0.0119, accuracy 99.72, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:36 Iteration 00130000, loss   0.0098, accuracy 99.72, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:36 Evaluating..
2020-02-04 02:37 Predicted for 1821 examples.
2020-02-04 02:37 Done predicting in 78.15167880058289 seconds.
2020-02-04 02:37   Evaluation Accuracy: 97.99 Exact Match: 93.74  Target Accuracy:  0.00
2020-02-04 02:37 Iteration 00130100, loss   0.0175, accuracy 99.34, exact match 94.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:38 Iteration 00130200, loss   0.0087, accuracy 99.77, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:38 Iteration 00130300, loss   0.0056, accuracy 99.66, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:38 Iteration 00130400, loss   0.0112, accuracy 99.63, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:39 Iteration 00130500, loss   0.0097, accuracy 99.59, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:39 Iteration 00130600, loss   0.0085, accuracy 99.67, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:39 Iteration 00130700, loss   0.0187, accuracy 99.63, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:40 Iteration 00130800, loss   0.0082, accuracy 99.67, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:40 Iteration 00130900, loss   0.0106, accuracy 99.63, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:40 Iteration 00131000, loss   0.0085, accuracy 99.77, exact match 98.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:40 Evaluating..
2020-02-04 02:42 Predicted for 1821 examples.
2020-02-04 02:42 Done predicting in 77.97596073150635 seconds.
2020-02-04 02:42   Evaluation Accuracy: 98.19 Exact Match: 94.12  Target Accuracy:  0.00
2020-02-04 02:42 Iteration 00131100, loss   0.0114, accuracy 99.63, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:42 Iteration 00131200, loss   0.0059, accuracy 99.78, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:43 Iteration 00131300, loss   0.0067, accuracy 99.76, exact match 98.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:43 Iteration 00131400, loss   0.0115, accuracy 99.70, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:43 Iteration 00131500, loss   0.0091, accuracy 99.76, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:44 Iteration 00131600, loss   0.0129, accuracy 99.56, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:44 Iteration 00131700, loss   0.0160, accuracy 99.54, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:44 Iteration 00131800, loss   0.0129, accuracy 99.59, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:45 Iteration 00131900, loss   0.0084, accuracy 99.62, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:45 Iteration 00132000, loss   0.0090, accuracy 99.72, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:45 Evaluating..
2020-02-04 02:46 Predicted for 1821 examples.
2020-02-04 02:46 Done predicting in 78.24616622924805 seconds.
2020-02-04 02:46   Evaluation Accuracy: 98.06 Exact Match: 93.68  Target Accuracy:  0.00
2020-02-04 02:47 Iteration 00132100, loss   0.0116, accuracy 99.49, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:47 Iteration 00132200, loss   0.0072, accuracy 99.77, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:47 Iteration 00132300, loss   0.0128, accuracy 99.53, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:48 Iteration 00132400, loss   0.0116, accuracy 99.53, exact match 96.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:48 Iteration 00132500, loss   0.0068, accuracy 99.76, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:48 Iteration 00132600, loss   0.0117, accuracy 99.43, exact match 95.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:49 Iteration 00132700, loss   0.0078, accuracy 99.64, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:49 Iteration 00132800, loss   0.0090, accuracy 99.61, exact match 97.00, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:49 Iteration 00132900, loss   0.0123, accuracy 99.76, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:50 Iteration 00133000, loss   0.0139, accuracy 99.45, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:50 Evaluating..
2020-02-04 02:51 Predicted for 1821 examples.
2020-02-04 02:51 Done predicting in 78.20549941062927 seconds.
2020-02-04 02:51   Evaluation Accuracy: 98.47 Exact Match: 95.11  Target Accuracy:  0.00
2020-02-04 02:51 Iteration 00133100, loss   0.0073, accuracy 99.77, exact match 97.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:52 Iteration 00133200, loss   0.0168, accuracy 99.53, exact match 95.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:52 Iteration 00133300, loss   0.0144, accuracy 99.63, exact match 96.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:52 Iteration 00133400, loss   0.0182, accuracy 99.43, exact match 94.50, learning_rate 0.00050, aux. accuracy target pos  0.00
2020-02-04 02:53 Iteration 00133500, loss   0.0093, accuracy 99.67, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:53 Iteration 00133600, loss   0.0148, accuracy 99.57, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:53 Iteration 00133700, loss   0.0091, accuracy 99.77, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:54 Iteration 00133800, loss   0.0047, accuracy 99.80, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:54 Iteration 00133900, loss   0.0078, accuracy 99.81, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:54 Iteration 00134000, loss   0.0066, accuracy 99.72, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:54 Evaluating..
2020-02-04 02:56 Predicted for 1821 examples.
2020-02-04 02:56 Done predicting in 78.07811617851257 seconds.
2020-02-04 02:56   Evaluation Accuracy: 98.40 Exact Match: 94.95  Target Accuracy:  0.00
2020-02-04 02:56 Iteration 00134100, loss   0.0076, accuracy 99.75, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:56 Iteration 00134200, loss   0.0230, accuracy 99.14, exact match 92.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:57 Iteration 00134300, loss   0.0088, accuracy 99.86, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:57 Iteration 00134400, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:57 Iteration 00134500, loss   0.0125, accuracy 99.39, exact match 94.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:58 Iteration 00134600, loss   0.0082, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:58 Iteration 00134700, loss   0.0109, accuracy 99.58, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:58 Iteration 00134800, loss   0.0078, accuracy 99.72, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:59 Iteration 00134900, loss   0.0118, accuracy 99.62, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:59 Iteration 00135000, loss   0.0081, accuracy 99.70, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 02:59 Evaluating..
2020-02-04 03:00 Predicted for 1821 examples.
2020-02-04 03:00 Done predicting in 78.06636166572571 seconds.
2020-02-04 03:00   Evaluation Accuracy: 98.10 Exact Match: 93.96  Target Accuracy:  0.00
2020-02-04 03:01 Iteration 00135100, loss   0.0156, accuracy 99.59, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:01 Iteration 00135200, loss   0.0081, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:01 Iteration 00135300, loss   0.0174, accuracy 99.26, exact match 93.07, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:02 Iteration 00135400, loss   0.0068, accuracy 99.86, exact match 98.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:02 Iteration 00135500, loss   0.0109, accuracy 99.62, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:02 Iteration 00135600, loss   0.0108, accuracy 99.53, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:03 Iteration 00135700, loss   0.0100, accuracy 99.62, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:03 Iteration 00135800, loss   0.0119, accuracy 99.67, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:03 Iteration 00135900, loss   0.0154, accuracy 99.67, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:04 Iteration 00136000, loss   0.0087, accuracy 99.57, exact match 95.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:04 Evaluating..
2020-02-04 03:05 Predicted for 1821 examples.
2020-02-04 03:05 Done predicting in 78.2283022403717 seconds.
2020-02-04 03:05   Evaluation Accuracy: 98.33 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-04 03:05 Iteration 00136100, loss   0.0124, accuracy 99.68, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:06 Iteration 00136200, loss   0.0064, accuracy 99.81, exact match 98.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:06 Iteration 00136300, loss   0.0105, accuracy 99.76, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:06 Iteration 00136400, loss   0.0039, accuracy 99.95, exact match 99.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:07 Iteration 00136500, loss   0.0124, accuracy 99.59, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:07 Iteration 00136600, loss   0.0069, accuracy 99.71, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:07 Iteration 00136700, loss   0.0114, accuracy 99.58, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:08 Iteration 00136800, loss   0.0113, accuracy 99.73, exact match 97.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:08 Iteration 00136900, loss   0.0116, accuracy 99.55, exact match 95.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:08 Iteration 00137000, loss   0.0105, accuracy 99.67, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:08 Evaluating..
2020-02-04 03:10 Predicted for 1821 examples.
2020-02-04 03:10 Done predicting in 78.00724291801453 seconds.
2020-02-04 03:10   Evaluation Accuracy: 98.26 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 03:10 Iteration 00137100, loss   0.0097, accuracy 99.63, exact match 96.00, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:10 Iteration 00137200, loss   0.0100, accuracy 99.77, exact match 97.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:11 Iteration 00137300, loss   0.0109, accuracy 99.63, exact match 96.50, learning_rate 0.00049, aux. accuracy target pos  0.00
2020-02-04 03:11 Iteration 00137400, loss   0.0077, accuracy 99.77, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:11 Iteration 00137500, loss   0.0129, accuracy 99.54, exact match 95.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:12 Iteration 00137600, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:12 Iteration 00137700, loss   0.0108, accuracy 99.62, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:12 Iteration 00137800, loss   0.0097, accuracy 99.67, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:13 Iteration 00137900, loss   0.0098, accuracy 99.57, exact match 95.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:13 Iteration 00138000, loss   0.0076, accuracy 99.77, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:13 Evaluating..
2020-02-04 03:14 Predicted for 1821 examples.
2020-02-04 03:14 Done predicting in 78.38140273094177 seconds.
2020-02-04 03:14   Evaluation Accuracy: 98.23 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 03:15 Iteration 00138100, loss   0.0088, accuracy 99.71, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:15 Iteration 00138200, loss   0.0063, accuracy 99.72, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:15 Iteration 00138300, loss   0.0067, accuracy 99.82, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:16 Iteration 00138400, loss   0.0068, accuracy 99.67, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:16 Iteration 00138500, loss   0.0071, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:16 Iteration 00138600, loss   0.0083, accuracy 99.77, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:17 Iteration 00138700, loss   0.0068, accuracy 99.80, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:17 Iteration 00138800, loss   0.0122, accuracy 99.65, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:17 Iteration 00138900, loss   0.0207, accuracy 99.62, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:18 Iteration 00139000, loss   0.0078, accuracy 99.67, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:18 Evaluating..
2020-02-04 03:19 Predicted for 1821 examples.
2020-02-04 03:19 Done predicting in 78.14352941513062 seconds.
2020-02-04 03:19   Evaluation Accuracy: 98.02 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-04 03:19 Iteration 00139100, loss   0.0093, accuracy 99.68, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:20 Iteration 00139200, loss   0.0179, accuracy 99.46, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:20 Iteration 00139300, loss   0.0081, accuracy 99.62, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:20 Iteration 00139400, loss   0.0088, accuracy 99.66, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:21 Iteration 00139500, loss   0.0097, accuracy 99.63, exact match 96.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:21 Iteration 00139600, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:21 Iteration 00139700, loss   0.0209, accuracy 99.72, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:22 Iteration 00139800, loss   0.0102, accuracy 99.61, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:22 Iteration 00139900, loss   0.0070, accuracy 99.71, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:22 Iteration 00140000, loss   0.0095, accuracy 99.76, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:22 Evaluating..
2020-02-04 03:24 Predicted for 1821 examples.
2020-02-04 03:24 Done predicting in 78.34238982200623 seconds.
2020-02-04 03:24   Evaluation Accuracy: 98.24 Exact Match: 94.40  Target Accuracy:  0.00
2020-02-04 03:24 Iteration 00140100, loss   0.0066, accuracy 99.71, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:24 Iteration 00140200, loss   0.0059, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:25 Iteration 00140300, loss   0.0056, accuracy 99.81, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:25 Iteration 00140400, loss   0.0069, accuracy 99.86, exact match 98.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:25 Iteration 00140500, loss   0.0073, accuracy 99.72, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:26 Iteration 00140600, loss   0.0096, accuracy 99.72, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:26 Iteration 00140700, loss   0.0113, accuracy 99.57, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:26 Iteration 00140800, loss   0.0063, accuracy 99.72, exact match 97.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:27 Iteration 00140900, loss   0.0104, accuracy 99.81, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:27 Iteration 00141000, loss   0.0074, accuracy 99.72, exact match 97.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:27 Evaluating..
2020-02-04 03:28 Predicted for 1821 examples.
2020-02-04 03:28 Done predicting in 78.17695260047913 seconds.
2020-02-04 03:28   Evaluation Accuracy: 98.14 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 03:29 Iteration 00141100, loss   0.0086, accuracy 99.62, exact match 96.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:29 Iteration 00141200, loss   0.0252, accuracy 99.33, exact match 94.50, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:29 Iteration 00141300, loss   0.0057, accuracy 99.76, exact match 98.00, learning_rate 0.00048, aux. accuracy target pos  0.00
2020-02-04 03:30 Iteration 00141400, loss   0.0087, accuracy 99.68, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:30 Iteration 00141500, loss   0.0038, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:30 Iteration 00141600, loss   0.0038, accuracy 99.82, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:31 Iteration 00141700, loss   0.0059, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:31 Iteration 00141800, loss   0.0052, accuracy 99.95, exact match 99.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:31 Iteration 00141900, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:32 Iteration 00142000, loss   0.0099, accuracy 99.68, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:32 Evaluating..
2020-02-04 03:33 Predicted for 1821 examples.
2020-02-04 03:33 Done predicting in 78.08342051506042 seconds.
2020-02-04 03:33   Evaluation Accuracy: 98.32 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-04 03:33 Iteration 00142100, loss   0.0137, accuracy 99.56, exact match 95.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:34 Iteration 00142200, loss   0.0130, accuracy 99.53, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:34 Iteration 00142300, loss   0.0083, accuracy 99.72, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:34 Iteration 00142400, loss   0.0151, accuracy 99.53, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:35 Iteration 00142500, loss   0.0113, accuracy 99.67, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:35 Iteration 00142600, loss   0.0080, accuracy 99.71, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:35 Iteration 00142700, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:36 Iteration 00142800, loss   0.0100, accuracy 99.72, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:36 Iteration 00142900, loss   0.0108, accuracy 99.70, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:36 Iteration 00143000, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:36 Evaluating..
2020-02-04 03:38 Predicted for 1821 examples.
2020-02-04 03:38 Done predicting in 78.26554369926453 seconds.
2020-02-04 03:38   Evaluation Accuracy: 98.29 Exact Match: 94.45  Target Accuracy:  0.00
2020-02-04 03:38 Iteration 00143100, loss   0.0151, accuracy 99.49, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:38 Iteration 00143200, loss   0.0085, accuracy 99.71, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:39 Iteration 00143300, loss   0.0061, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:39 Iteration 00143400, loss   0.0119, accuracy 99.61, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:39 Iteration 00143500, loss   0.0118, accuracy 99.63, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:40 Iteration 00143600, loss   0.0056, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:40 Iteration 00143700, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:40 Iteration 00143800, loss   0.0084, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:41 Iteration 00143900, loss   0.0052, accuracy 99.81, exact match 98.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:41 Iteration 00144000, loss   0.0051, accuracy 99.85, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:41 Evaluating..
2020-02-04 03:42 Predicted for 1821 examples.
2020-02-04 03:42 Done predicting in 78.229811668396 seconds.
2020-02-04 03:42   Evaluation Accuracy: 98.36 Exact Match: 95.17  Target Accuracy:  0.00
2020-02-04 03:43 Iteration 00144100, loss   0.0109, accuracy 99.67, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:43 Iteration 00144200, loss   0.0048, accuracy 99.91, exact match 99.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:43 Iteration 00144300, loss   0.0125, accuracy 99.39, exact match 93.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:44 Iteration 00144400, loss   0.0095, accuracy 99.65, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:44 Iteration 00144500, loss   0.0210, accuracy 99.34, exact match 93.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:44 Iteration 00144600, loss   0.0122, accuracy 99.46, exact match 94.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:45 Iteration 00144700, loss   0.0074, accuracy 99.77, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:45 Iteration 00144800, loss   0.0065, accuracy 99.72, exact match 97.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:45 Iteration 00144900, loss   0.0142, accuracy 99.57, exact match 96.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:46 Iteration 00145000, loss   0.0085, accuracy 99.69, exact match 96.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:46 Evaluating..
2020-02-04 03:47 Predicted for 1821 examples.
2020-02-04 03:47 Done predicting in 78.24642252922058 seconds.
2020-02-04 03:47   Evaluation Accuracy: 98.35 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-04 03:47 Iteration 00145100, loss   0.0058, accuracy 99.86, exact match 98.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:48 Iteration 00145200, loss   0.0082, accuracy 99.76, exact match 97.50, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:48 Iteration 00145300, loss   0.0145, accuracy 99.49, exact match 95.00, learning_rate 0.00047, aux. accuracy target pos  0.00
2020-02-04 03:48 Iteration 00145400, loss   0.0064, accuracy 99.77, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:49 Iteration 00145500, loss   0.0032, accuracy 99.95, exact match 99.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:49 Iteration 00145600, loss   0.0211, accuracy 99.52, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:49 Iteration 00145700, loss   0.0121, accuracy 99.67, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:50 Iteration 00145800, loss   0.0180, accuracy 99.44, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:50 Iteration 00145900, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:50 Iteration 00146000, loss   0.0164, accuracy 99.68, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:50 Evaluating..
2020-02-04 03:52 Predicted for 1821 examples.
2020-02-04 03:52 Done predicting in 78.2555205821991 seconds.
2020-02-04 03:52   Evaluation Accuracy: 98.50 Exact Match: 95.17  Target Accuracy:  0.00
2020-02-04 03:52 Iteration 00146100, loss   0.0074, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:52 Iteration 00146200, loss   0.0045, accuracy 99.85, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:53 Iteration 00146300, loss   0.0073, accuracy 99.81, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:53 Iteration 00146400, loss   0.0105, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:53 Iteration 00146500, loss   0.0130, accuracy 99.66, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:54 Iteration 00146600, loss   0.0081, accuracy 99.72, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:54 Iteration 00146700, loss   0.0111, accuracy 99.43, exact match 94.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:54 Iteration 00146800, loss   0.0113, accuracy 99.72, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:55 Iteration 00146900, loss   0.0129, accuracy 99.58, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:55 Iteration 00147000, loss   0.0137, accuracy 99.63, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:55 Evaluating..
2020-02-04 03:56 Predicted for 1821 examples.
2020-02-04 03:56 Done predicting in 78.24357509613037 seconds.
2020-02-04 03:56   Evaluation Accuracy: 98.62 Exact Match: 95.39  Target Accuracy:  0.00
2020-02-04 03:57 Iteration 00147100, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:57 Iteration 00147200, loss   0.0100, accuracy 99.63, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:57 Iteration 00147300, loss   0.0041, accuracy 99.91, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:58 Iteration 00147400, loss   0.0167, accuracy 99.68, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:58 Iteration 00147500, loss   0.0202, accuracy 99.52, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:58 Iteration 00147600, loss   0.0064, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:59 Iteration 00147700, loss   0.0160, accuracy 99.57, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:59 Iteration 00147800, loss   0.0189, accuracy 99.48, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 03:59 Iteration 00147900, loss   0.0095, accuracy 99.63, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:00 Iteration 00148000, loss   0.0143, accuracy 99.64, exact match 96.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:00 Evaluating..
2020-02-04 04:01 Predicted for 1821 examples.
2020-02-04 04:01 Done predicting in 78.17776417732239 seconds.
2020-02-04 04:01   Evaluation Accuracy: 98.37 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 04:01 Iteration 00148100, loss   0.0061, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:02 Iteration 00148200, loss   0.0092, accuracy 99.66, exact match 96.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:02 Iteration 00148300, loss   0.0060, accuracy 99.76, exact match 97.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:02 Iteration 00148400, loss   0.0109, accuracy 99.57, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:03 Iteration 00148500, loss   0.0058, accuracy 99.77, exact match 98.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:03 Iteration 00148600, loss   0.0090, accuracy 99.72, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:03 Iteration 00148700, loss   0.0082, accuracy 99.71, exact match 97.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:04 Iteration 00148800, loss   0.0066, accuracy 99.82, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:04 Iteration 00148900, loss   0.0084, accuracy 99.58, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:04 Iteration 00149000, loss   0.0147, accuracy 99.55, exact match 95.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:04 Evaluating..
2020-02-04 04:06 Predicted for 1821 examples.
2020-02-04 04:06 Done predicting in 78.22175979614258 seconds.
2020-02-04 04:06   Evaluation Accuracy: 98.28 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 04:06 Iteration 00149100, loss   0.0123, accuracy 99.58, exact match 95.50, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:06 Iteration 00149200, loss   0.0027, accuracy 100.00, exact match 100.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:07 Iteration 00149300, loss   0.0066, accuracy 99.81, exact match 98.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:07 Iteration 00149400, loss   0.0036, accuracy 99.91, exact match 99.00, learning_rate 0.00046, aux. accuracy target pos  0.00
2020-02-04 04:07 Iteration 00149500, loss   0.0154, accuracy 99.45, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:08 Iteration 00149600, loss   0.0066, accuracy 99.77, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:08 Iteration 00149700, loss   0.0153, accuracy 99.41, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:08 Iteration 00149800, loss   0.0046, accuracy 99.81, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:09 Iteration 00149900, loss   0.0101, accuracy 99.47, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:09 Iteration 00150000, loss   0.0189, accuracy 99.39, exact match 94.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:09 Evaluating..
2020-02-04 04:10 Predicted for 1821 examples.
2020-02-04 04:10 Done predicting in 78.04362177848816 seconds.
2020-02-04 04:10   Evaluation Accuracy: 98.28 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 04:11 Iteration 00150100, loss   0.0073, accuracy 99.77, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:11 Iteration 00150200, loss   0.0035, accuracy 99.91, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:11 Iteration 00150300, loss   0.0105, accuracy 99.73, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:12 Iteration 00150400, loss   0.0051, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:12 Iteration 00150500, loss   0.0090, accuracy 99.66, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:12 Iteration 00150600, loss   0.0097, accuracy 99.61, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:13 Iteration 00150700, loss   0.0041, accuracy 99.91, exact match 99.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:13 Iteration 00150800, loss   0.0146, accuracy 99.46, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:13 Iteration 00150900, loss   0.0168, accuracy 99.39, exact match 95.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:14 Iteration 00151000, loss   0.0067, accuracy 99.72, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:14 Evaluating..
2020-02-04 04:15 Predicted for 1821 examples.
2020-02-04 04:15 Done predicting in 78.22125148773193 seconds.
2020-02-04 04:15   Evaluation Accuracy: 98.35 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-04 04:15 Iteration 00151100, loss   0.0208, accuracy 99.23, exact match 93.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:16 Iteration 00151200, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:16 Iteration 00151300, loss   0.0148, accuracy 99.37, exact match 94.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:16 Iteration 00151400, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:17 Iteration 00151500, loss   0.0056, accuracy 99.85, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:17 Iteration 00151600, loss   0.0036, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:17 Iteration 00151700, loss   0.0052, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:18 Iteration 00151800, loss   0.0083, accuracy 99.66, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:18 Iteration 00151900, loss   0.0096, accuracy 99.68, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:18 Iteration 00152000, loss   0.0147, accuracy 99.62, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:18 Evaluating..
2020-02-04 04:20 Predicted for 1821 examples.
2020-02-04 04:20 Done predicting in 78.20115637779236 seconds.
2020-02-04 04:20   Evaluation Accuracy: 98.57 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-04 04:20 Iteration 00152100, loss   0.0138, accuracy 99.52, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:20 Iteration 00152200, loss   0.0083, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:21 Iteration 00152300, loss   0.0145, accuracy 99.62, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:21 Iteration 00152400, loss   0.0073, accuracy 99.85, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:21 Iteration 00152500, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:22 Iteration 00152600, loss   0.0062, accuracy 99.63, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:22 Iteration 00152700, loss   0.0078, accuracy 99.61, exact match 96.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:22 Iteration 00152800, loss   0.0115, accuracy 99.68, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:23 Iteration 00152900, loss   0.0083, accuracy 99.81, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:23 Iteration 00153000, loss   0.0058, accuracy 99.63, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:23 Evaluating..
2020-02-04 04:24 Predicted for 1821 examples.
2020-02-04 04:24 Done predicting in 78.07214260101318 seconds.
2020-02-04 04:24   Evaluation Accuracy: 98.26 Exact Match: 94.34  Target Accuracy:  0.00
2020-02-04 04:25 Iteration 00153100, loss   0.0100, accuracy 99.67, exact match 96.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:25 Iteration 00153200, loss   0.0153, accuracy 99.53, exact match 95.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:25 Iteration 00153300, loss   0.0070, accuracy 99.86, exact match 98.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:26 Iteration 00153400, loss   0.0103, accuracy 99.72, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:26 Iteration 00153500, loss   0.0072, accuracy 99.77, exact match 98.00, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:26 Iteration 00153600, loss   0.0062, accuracy 99.76, exact match 97.50, learning_rate 0.00045, aux. accuracy target pos  0.00
2020-02-04 04:27 Iteration 00153700, loss   0.0103, accuracy 99.62, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:27 Iteration 00153800, loss   0.0111, accuracy 99.58, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:27 Iteration 00153900, loss   0.0051, accuracy 99.91, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:28 Iteration 00154000, loss   0.0080, accuracy 99.71, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:28 Evaluating..
2020-02-04 04:29 Predicted for 1821 examples.
2020-02-04 04:29 Done predicting in 78.26195096969604 seconds.
2020-02-04 04:29   Evaluation Accuracy: 98.31 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 04:29 Iteration 00154100, loss   0.0055, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:30 Iteration 00154200, loss   0.0070, accuracy 99.75, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:30 Iteration 00154300, loss   0.0124, accuracy 99.53, exact match 95.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:30 Iteration 00154400, loss   0.0061, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:31 Iteration 00154500, loss   0.0066, accuracy 99.67, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:31 Iteration 00154600, loss   0.0092, accuracy 99.67, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:31 Iteration 00154700, loss   0.0089, accuracy 99.63, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:32 Iteration 00154800, loss   0.0084, accuracy 99.76, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:32 Iteration 00154900, loss   0.0065, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:32 Iteration 00155000, loss   0.0128, accuracy 99.42, exact match 94.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:32 Evaluating..
2020-02-04 04:34 Predicted for 1821 examples.
2020-02-04 04:34 Done predicting in 78.36076331138611 seconds.
2020-02-04 04:34   Evaluation Accuracy: 98.42 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-04 04:34 Iteration 00155100, loss   0.0100, accuracy 99.72, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:34 Iteration 00155200, loss   0.0058, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:35 Iteration 00155300, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:35 Iteration 00155400, loss   0.0075, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:35 Iteration 00155500, loss   0.0092, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:36 Iteration 00155600, loss   0.0121, accuracy 99.68, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:36 Iteration 00155700, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:36 Iteration 00155800, loss   0.0061, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:37 Iteration 00155900, loss   0.0160, accuracy 99.52, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:37 Iteration 00156000, loss   0.0140, accuracy 99.50, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:37 Evaluating..
2020-02-04 04:38 Predicted for 1821 examples.
2020-02-04 04:38 Done predicting in 78.2022693157196 seconds.
2020-02-04 04:38   Evaluation Accuracy: 98.46 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 04:39 Iteration 00156100, loss   0.0094, accuracy 99.64, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:39 Iteration 00156200, loss   0.0068, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:39 Iteration 00156300, loss   0.0107, accuracy 99.66, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:40 Iteration 00156400, loss   0.0119, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:40 Iteration 00156500, loss   0.0087, accuracy 99.67, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:40 Iteration 00156600, loss   0.0102, accuracy 99.63, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:41 Iteration 00156700, loss   0.0144, accuracy 99.52, exact match 95.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:41 Iteration 00156800, loss   0.0115, accuracy 99.53, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:41 Iteration 00156900, loss   0.0060, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:42 Iteration 00157000, loss   0.0045, accuracy 99.91, exact match 99.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:42 Evaluating..
2020-02-04 04:43 Predicted for 1821 examples.
2020-02-04 04:43 Done predicting in 78.34855675697327 seconds.
2020-02-04 04:43   Evaluation Accuracy: 98.54 Exact Match: 95.22  Target Accuracy:  0.00
2020-02-04 04:43 Iteration 00157100, loss   0.0127, accuracy 99.53, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:44 Iteration 00157200, loss   0.0106, accuracy 99.57, exact match 96.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:44 Iteration 00157300, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:44 Iteration 00157400, loss   0.0097, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:45 Iteration 00157500, loss   0.0061, accuracy 99.81, exact match 98.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:45 Iteration 00157600, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:45 Iteration 00157700, loss   0.0072, accuracy 99.72, exact match 97.00, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:46 Iteration 00157800, loss   0.0153, accuracy 99.56, exact match 96.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:46 Iteration 00157900, loss   0.0068, accuracy 99.85, exact match 98.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:46 Iteration 00158000, loss   0.0153, accuracy 99.62, exact match 97.50, learning_rate 0.00044, aux. accuracy target pos  0.00
2020-02-04 04:46 Evaluating..
2020-02-04 04:48 Predicted for 1821 examples.
2020-02-04 04:48 Done predicting in 78.10249614715576 seconds.
2020-02-04 04:48   Evaluation Accuracy: 98.55 Exact Match: 95.17  Target Accuracy:  0.00
2020-02-04 04:48 Iteration 00158100, loss   0.0072, accuracy 99.70, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:48 Iteration 00158200, loss   0.0143, accuracy 99.72, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:49 Iteration 00158300, loss   0.0081, accuracy 99.66, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:49 Iteration 00158400, loss   0.0063, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:49 Iteration 00158500, loss   0.0090, accuracy 99.63, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:50 Iteration 00158600, loss   0.0114, accuracy 99.71, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:50 Iteration 00158700, loss   0.0053, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:50 Iteration 00158800, loss   0.0089, accuracy 99.76, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:51 Iteration 00158900, loss   0.0086, accuracy 99.52, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:51 Iteration 00159000, loss   0.0077, accuracy 99.72, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:51 Evaluating..
2020-02-04 04:52 Predicted for 1821 examples.
2020-02-04 04:52 Done predicting in 78.14445424079895 seconds.
2020-02-04 04:52   Evaluation Accuracy: 98.36 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 04:53 Iteration 00159100, loss   0.0086, accuracy 99.66, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:53 Iteration 00159200, loss   0.0111, accuracy 99.71, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:53 Iteration 00159300, loss   0.0085, accuracy 99.66, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:54 Iteration 00159400, loss   0.0069, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:54 Iteration 00159500, loss   0.0113, accuracy 99.53, exact match 95.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:54 Iteration 00159600, loss   0.0039, accuracy 99.91, exact match 99.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:55 Iteration 00159700, loss   0.0089, accuracy 99.68, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:55 Iteration 00159800, loss   0.0058, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:55 Iteration 00159900, loss   0.0101, accuracy 99.71, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:56 Iteration 00160000, loss   0.0070, accuracy 99.71, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:56 Evaluating..
2020-02-04 04:57 Predicted for 1821 examples.
2020-02-04 04:57 Done predicting in 78.07254695892334 seconds.
2020-02-04 04:57   Evaluation Accuracy: 98.32 Exact Match: 94.18  Target Accuracy:  0.00
2020-02-04 04:57 Iteration 00160100, loss   0.0081, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:58 Iteration 00160200, loss   0.0158, accuracy 99.19, exact match 92.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:58 Iteration 00160300, loss   0.0048, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:58 Iteration 00160400, loss   0.0032, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:59 Iteration 00160500, loss   0.0058, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:59 Iteration 00160600, loss   0.0077, accuracy 99.61, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 04:59 Iteration 00160700, loss   0.0064, accuracy 99.81, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:00 Iteration 00160800, loss   0.0074, accuracy 99.82, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:00 Iteration 00160900, loss   0.0096, accuracy 99.66, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:00 Iteration 00161000, loss   0.0070, accuracy 99.76, exact match 97.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:00 Evaluating..
2020-02-04 05:02 Predicted for 1821 examples.
2020-02-04 05:02 Done predicting in 78.649258852005 seconds.
2020-02-04 05:02   Evaluation Accuracy: 98.21 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 05:02 Iteration 00161100, loss   0.0082, accuracy 99.62, exact match 96.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:02 Iteration 00161200, loss   0.0058, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:03 Iteration 00161300, loss   0.0116, accuracy 99.60, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:03 Iteration 00161400, loss   0.0113, accuracy 99.67, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:03 Iteration 00161500, loss   0.0143, accuracy 99.48, exact match 94.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:04 Iteration 00161600, loss   0.0086, accuracy 99.57, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:04 Iteration 00161700, loss   0.0092, accuracy 99.72, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:04 Iteration 00161800, loss   0.0074, accuracy 99.73, exact match 97.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:05 Iteration 00161900, loss   0.0056, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:05 Iteration 00162000, loss   0.0202, accuracy 99.37, exact match 94.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:05 Evaluating..
2020-02-04 05:06 Predicted for 1821 examples.
2020-02-04 05:06 Done predicting in 78.44125413894653 seconds.
2020-02-04 05:06   Evaluation Accuracy: 98.48 Exact Match: 95.11  Target Accuracy:  0.00
2020-02-04 05:07 Iteration 00162100, loss   0.0129, accuracy 99.68, exact match 96.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:07 Iteration 00162200, loss   0.0039, accuracy 99.95, exact match 99.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:07 Iteration 00162300, loss   0.0079, accuracy 99.76, exact match 98.00, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:08 Iteration 00162400, loss   0.0050, accuracy 99.86, exact match 98.50, learning_rate 0.00043, aux. accuracy target pos  0.00
2020-02-04 05:08 Iteration 00162500, loss   0.0051, accuracy 99.85, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:08 Iteration 00162600, loss   0.0135, accuracy 99.67, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:09 Iteration 00162700, loss   0.0076, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:09 Iteration 00162800, loss   0.0067, accuracy 99.72, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:09 Iteration 00162900, loss   0.0081, accuracy 99.72, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:10 Iteration 00163000, loss   0.0048, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:10 Evaluating..
2020-02-04 05:11 Predicted for 1821 examples.
2020-02-04 05:11 Done predicting in 78.5219419002533 seconds.
2020-02-04 05:11   Evaluation Accuracy: 98.45 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 05:11 Iteration 00163100, loss   0.0106, accuracy 99.57, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:12 Iteration 00163200, loss   0.0067, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:12 Iteration 00163300, loss   0.0140, accuracy 99.54, exact match 95.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:12 Iteration 00163400, loss   0.0070, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:13 Iteration 00163500, loss   0.0038, accuracy 99.91, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:13 Iteration 00163600, loss   0.0098, accuracy 99.70, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:13 Iteration 00163700, loss   0.0056, accuracy 99.66, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:14 Iteration 00163800, loss   0.0118, accuracy 99.52, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:14 Iteration 00163900, loss   0.0087, accuracy 99.66, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:14 Iteration 00164000, loss   0.0079, accuracy 99.56, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:14 Evaluating..
2020-02-04 05:16 Predicted for 1821 examples.
2020-02-04 05:16 Done predicting in 78.49613380432129 seconds.
2020-02-04 05:16   Evaluation Accuracy: 98.41 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-04 05:16 Iteration 00164100, loss   0.0109, accuracy 99.76, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:16 Iteration 00164200, loss   0.0063, accuracy 99.66, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:17 Iteration 00164300, loss   0.0125, accuracy 99.67, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:17 Iteration 00164400, loss   0.0124, accuracy 99.57, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:17 Iteration 00164500, loss   0.0095, accuracy 99.71, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:18 Iteration 00164600, loss   0.0077, accuracy 99.80, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:18 Iteration 00164700, loss   0.0064, accuracy 99.76, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:18 Iteration 00164800, loss   0.0079, accuracy 99.61, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:19 Iteration 00164900, loss   0.0097, accuracy 99.67, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:19 Iteration 00165000, loss   0.0070, accuracy 99.86, exact match 98.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:19 Evaluating..
2020-02-04 05:20 Predicted for 1821 examples.
2020-02-04 05:20 Done predicting in 78.46436882019043 seconds.
2020-02-04 05:20   Evaluation Accuracy: 98.54 Exact Match: 95.28  Target Accuracy:  0.00
2020-02-04 05:21 Iteration 00165100, loss   0.0122, accuracy 99.62, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:21 Iteration 00165200, loss   0.0073, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:21 Iteration 00165300, loss   0.0093, accuracy 99.62, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:22 Iteration 00165400, loss   0.0048, accuracy 99.77, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:22 Iteration 00165500, loss   0.0045, accuracy 99.82, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:22 Iteration 00165600, loss   0.0164, accuracy 99.59, exact match 96.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:23 Iteration 00165700, loss   0.0083, accuracy 99.71, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:23 Iteration 00165800, loss   0.0068, accuracy 99.67, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:23 Iteration 00165900, loss   0.0064, accuracy 99.81, exact match 98.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:24 Iteration 00166000, loss   0.0068, accuracy 99.72, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:24 Evaluating..
2020-02-04 05:25 Predicted for 1821 examples.
2020-02-04 05:25 Done predicting in 78.52998971939087 seconds.
2020-02-04 05:25   Evaluation Accuracy: 98.21 Exact Match: 94.29  Target Accuracy:  0.00
2020-02-04 05:25 Iteration 00166100, loss   0.0154, accuracy 99.58, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:26 Iteration 00166200, loss   0.0098, accuracy 99.52, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:26 Iteration 00166300, loss   0.0043, accuracy 99.85, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:26 Iteration 00166400, loss   0.0046, accuracy 99.76, exact match 97.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:27 Iteration 00166500, loss   0.0067, accuracy 99.70, exact match 97.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:27 Iteration 00166600, loss   0.0067, accuracy 99.67, exact match 96.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:27 Iteration 00166700, loss   0.0022, accuracy 99.91, exact match 99.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:28 Iteration 00166800, loss   0.0138, accuracy 99.32, exact match 94.00, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:28 Iteration 00166900, loss   0.0140, accuracy 99.54, exact match 95.50, learning_rate 0.00042, aux. accuracy target pos  0.00
2020-02-04 05:28 Iteration 00167000, loss   0.0038, accuracy 99.91, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:28 Evaluating..
2020-02-04 05:30 Predicted for 1821 examples.
2020-02-04 05:30 Done predicting in 78.5189414024353 seconds.
2020-02-04 05:30   Evaluation Accuracy: 98.40 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 05:30 Iteration 00167100, loss   0.0107, accuracy 99.54, exact match 95.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:30 Iteration 00167200, loss   0.0119, accuracy 99.68, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:31 Iteration 00167300, loss   0.0047, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:31 Iteration 00167400, loss   0.0085, accuracy 99.63, exact match 96.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:31 Iteration 00167500, loss   0.0064, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:32 Iteration 00167600, loss   0.0076, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:32 Iteration 00167700, loss   0.0108, accuracy 99.67, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:32 Iteration 00167800, loss   0.0099, accuracy 99.71, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:33 Iteration 00167900, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:33 Iteration 00168000, loss   0.0040, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:33 Evaluating..
2020-02-04 05:34 Predicted for 1821 examples.
2020-02-04 05:34 Done predicting in 78.36776065826416 seconds.
2020-02-04 05:34   Evaluation Accuracy: 98.48 Exact Match: 95.22  Target Accuracy:  0.00
2020-02-04 05:35 Iteration 00168100, loss   0.0050, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:35 Iteration 00168200, loss   0.0060, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:35 Iteration 00168300, loss   0.0079, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:36 Iteration 00168400, loss   0.0084, accuracy 99.67, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:36 Iteration 00168500, loss   0.0057, accuracy 99.77, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:36 Iteration 00168600, loss   0.0108, accuracy 99.41, exact match 94.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:37 Iteration 00168700, loss   0.0068, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:37 Iteration 00168800, loss   0.0070, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:37 Iteration 00168900, loss   0.0075, accuracy 99.72, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:38 Iteration 00169000, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:38 Evaluating..
2020-02-04 05:39 Predicted for 1821 examples.
2020-02-04 05:39 Done predicting in 78.39246368408203 seconds.
2020-02-04 05:39   Evaluation Accuracy: 98.44 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 05:39 Iteration 00169100, loss   0.0185, accuracy 99.66, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:40 Iteration 00169200, loss   0.0089, accuracy 99.71, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:40 Iteration 00169300, loss   0.0050, accuracy 99.91, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:40 Iteration 00169400, loss   0.0089, accuracy 99.57, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:41 Iteration 00169500, loss   0.0063, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:41 Iteration 00169600, loss   0.0065, accuracy 99.76, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:41 Iteration 00169700, loss   0.0075, accuracy 99.61, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:42 Iteration 00169800, loss   0.0063, accuracy 99.77, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:42 Iteration 00169900, loss   0.0082, accuracy 99.81, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:42 Iteration 00170000, loss   0.0113, accuracy 99.59, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:42 Evaluating..
2020-02-04 05:44 Predicted for 1821 examples.
2020-02-04 05:44 Done predicting in 78.57885646820068 seconds.
2020-02-04 05:44   Evaluation Accuracy: 98.11 Exact Match: 93.85  Target Accuracy:  0.00
2020-02-04 05:44 Iteration 00170100, loss   0.0069, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:44 Iteration 00170200, loss   0.0042, accuracy 99.95, exact match 99.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:45 Iteration 00170300, loss   0.0117, accuracy 99.66, exact match 96.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:45 Iteration 00170400, loss   0.0092, accuracy 99.69, exact match 97.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:45 Iteration 00170500, loss   0.0055, accuracy 99.71, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:46 Iteration 00170600, loss   0.0062, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:46 Iteration 00170700, loss   0.0089, accuracy 99.68, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:47 Iteration 00170800, loss   0.0042, accuracy 99.87, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:47 Iteration 00170900, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:47 Iteration 00171000, loss   0.0034, accuracy 99.90, exact match 99.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:47 Evaluating..
2020-02-04 05:48 Predicted for 1821 examples.
2020-02-04 05:48 Done predicting in 78.41808557510376 seconds.
2020-02-04 05:48   Evaluation Accuracy: 98.42 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 05:49 Iteration 00171100, loss   0.0112, accuracy 99.47, exact match 95.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:49 Iteration 00171200, loss   0.0051, accuracy 99.86, exact match 98.50, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:49 Iteration 00171300, loss   0.0095, accuracy 99.71, exact match 97.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:50 Iteration 00171400, loss   0.0079, accuracy 99.76, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:50 Iteration 00171500, loss   0.0078, accuracy 99.81, exact match 98.00, learning_rate 0.00041, aux. accuracy target pos  0.00
2020-02-04 05:51 Iteration 00171600, loss   0.0075, accuracy 99.81, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:51 Iteration 00171700, loss   0.0095, accuracy 99.58, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:51 Iteration 00171800, loss   0.0140, accuracy 99.72, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:52 Iteration 00171900, loss   0.0056, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:52 Iteration 00172000, loss   0.0061, accuracy 99.80, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:52 Evaluating..
2020-02-04 05:53 Predicted for 1821 examples.
2020-02-04 05:53 Done predicting in 78.4918065071106 seconds.
2020-02-04 05:53   Evaluation Accuracy: 98.42 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 05:54 Iteration 00172100, loss   0.0077, accuracy 99.72, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:54 Iteration 00172200, loss   0.0094, accuracy 99.58, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:54 Iteration 00172300, loss   0.0067, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:55 Iteration 00172400, loss   0.0056, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:55 Iteration 00172500, loss   0.0101, accuracy 99.68, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:55 Iteration 00172600, loss   0.0049, accuracy 99.91, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:56 Iteration 00172700, loss   0.0082, accuracy 99.72, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:56 Iteration 00172800, loss   0.0035, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:56 Iteration 00172900, loss   0.0062, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:57 Iteration 00173000, loss   0.0071, accuracy 99.67, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:57 Evaluating..
2020-02-04 05:58 Predicted for 1821 examples.
2020-02-04 05:58 Done predicting in 78.43783450126648 seconds.
2020-02-04 05:58   Evaluation Accuracy: 98.33 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-04 05:58 Iteration 00173100, loss   0.0042, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:59 Iteration 00173200, loss   0.0064, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:59 Iteration 00173300, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 05:59 Iteration 00173400, loss   0.0061, accuracy 99.62, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:00 Iteration 00173500, loss   0.0111, accuracy 99.63, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:00 Iteration 00173600, loss   0.0114, accuracy 99.63, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:00 Iteration 00173700, loss   0.0053, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:01 Iteration 00173800, loss   0.0016, accuracy 100.00, exact match 100.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:01 Iteration 00173900, loss   0.0050, accuracy 99.81, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:01 Iteration 00174000, loss   0.0124, accuracy 99.67, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:01 Evaluating..
2020-02-04 06:03 Predicted for 1821 examples.
2020-02-04 06:03 Done predicting in 78.46301937103271 seconds.
2020-02-04 06:03   Evaluation Accuracy: 98.50 Exact Match: 95.28  Target Accuracy:  0.00
2020-02-04 06:03 Iteration 00174100, loss   0.0043, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:03 Iteration 00174200, loss   0.0046, accuracy 99.81, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:04 Iteration 00174300, loss   0.0058, accuracy 99.76, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:04 Iteration 00174400, loss   0.0072, accuracy 99.77, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:04 Iteration 00174500, loss   0.0053, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:05 Iteration 00174600, loss   0.0073, accuracy 99.76, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:05 Iteration 00174700, loss   0.0052, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:05 Iteration 00174800, loss   0.0078, accuracy 99.66, exact match 96.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:06 Iteration 00174900, loss   0.0039, accuracy 99.95, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:06 Iteration 00175000, loss   0.0052, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:06 Evaluating..
2020-02-04 06:07 Predicted for 1821 examples.
2020-02-04 06:07 Done predicting in 78.5889539718628 seconds.
2020-02-04 06:07   Evaluation Accuracy: 98.46 Exact Match: 95.11  Target Accuracy:  0.00
2020-02-04 06:08 Iteration 00175100, loss   0.0032, accuracy 99.91, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:08 Iteration 00175200, loss   0.0092, accuracy 99.72, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:08 Iteration 00175300, loss   0.0058, accuracy 99.76, exact match 98.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:09 Iteration 00175400, loss   0.0153, accuracy 99.53, exact match 95.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:09 Iteration 00175500, loss   0.0130, accuracy 99.63, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:09 Iteration 00175600, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:10 Iteration 00175700, loss   0.0077, accuracy 99.71, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:10 Iteration 00175800, loss   0.0086, accuracy 99.71, exact match 97.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:10 Iteration 00175900, loss   0.0046, accuracy 99.90, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:11 Iteration 00176000, loss   0.0043, accuracy 99.91, exact match 99.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:11 Evaluating..
2020-02-04 06:12 Predicted for 1821 examples.
2020-02-04 06:12 Done predicting in 78.53685402870178 seconds.
2020-02-04 06:12   Evaluation Accuracy: 98.49 Exact Match: 94.95  Target Accuracy:  0.00
2020-02-04 06:12 Iteration 00176100, loss   0.0060, accuracy 99.70, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:13 Iteration 00176200, loss   0.0115, accuracy 99.71, exact match 97.00, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:13 Iteration 00176300, loss   0.0023, accuracy 99.95, exact match 99.50, learning_rate 0.00040, aux. accuracy target pos  0.00
2020-02-04 06:13 Iteration 00176400, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:14 Iteration 00176500, loss   0.0084, accuracy 99.49, exact match 94.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:14 Iteration 00176600, loss   0.0100, accuracy 99.67, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:14 Iteration 00176700, loss   0.0063, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:15 Iteration 00176800, loss   0.0055, accuracy 99.78, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:15 Iteration 00176900, loss   0.0078, accuracy 99.72, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:15 Iteration 00177000, loss   0.0069, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:15 Evaluating..
2020-02-04 06:17 Predicted for 1821 examples.
2020-02-04 06:17 Done predicting in 78.42000555992126 seconds.
2020-02-04 06:17   Evaluation Accuracy: 98.29 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 06:17 Iteration 00177100, loss   0.0071, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:17 Iteration 00177200, loss   0.0054, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:18 Iteration 00177300, loss   0.0070, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:18 Iteration 00177400, loss   0.0099, accuracy 99.66, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:18 Iteration 00177500, loss   0.0125, accuracy 99.58, exact match 95.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:19 Iteration 00177600, loss   0.0091, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:19 Iteration 00177700, loss   0.0069, accuracy 99.80, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:19 Iteration 00177800, loss   0.0063, accuracy 99.67, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:20 Iteration 00177900, loss   0.0079, accuracy 99.72, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:20 Iteration 00178000, loss   0.0051, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:20 Evaluating..
2020-02-04 06:21 Predicted for 1821 examples.
2020-02-04 06:21 Done predicting in 78.48652720451355 seconds.
2020-02-04 06:21   Evaluation Accuracy: 98.46 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 06:22 Iteration 00178100, loss   0.0030, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:22 Iteration 00178200, loss   0.0067, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:22 Iteration 00178300, loss   0.0076, accuracy 99.82, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:23 Iteration 00178400, loss   0.0093, accuracy 99.67, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:23 Iteration 00178500, loss   0.0053, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:23 Iteration 00178600, loss   0.0062, accuracy 99.80, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:24 Iteration 00178700, loss   0.0053, accuracy 99.86, exact match 98.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:24 Iteration 00178800, loss   0.0141, accuracy 99.53, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:24 Iteration 00178900, loss   0.0039, accuracy 99.95, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:25 Iteration 00179000, loss   0.0061, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:25 Evaluating..
2020-02-04 06:26 Predicted for 1821 examples.
2020-02-04 06:26 Done predicting in 78.54911351203918 seconds.
2020-02-04 06:26   Evaluation Accuracy: 98.31 Exact Match: 94.67  Target Accuracy:  0.00
2020-02-04 06:26 Iteration 00179100, loss   0.0075, accuracy 99.62, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:27 Iteration 00179200, loss   0.0085, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:27 Iteration 00179300, loss   0.0141, accuracy 99.63, exact match 96.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:27 Iteration 00179400, loss   0.0078, accuracy 99.68, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:28 Iteration 00179500, loss   0.0078, accuracy 99.76, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:28 Iteration 00179600, loss   0.0046, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:28 Iteration 00179700, loss   0.0050, accuracy 99.77, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:29 Iteration 00179800, loss   0.0031, accuracy 99.91, exact match 99.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:29 Iteration 00179900, loss   0.0068, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:29 Iteration 00180000, loss   0.0066, accuracy 99.82, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:29 Evaluating..
2020-02-04 06:31 Predicted for 1821 examples.
2020-02-04 06:31 Done predicting in 78.42816424369812 seconds.
2020-02-04 06:31   Evaluation Accuracy: 98.60 Exact Match: 95.44  Target Accuracy:  0.00
2020-02-04 06:31 Iteration 00180100, loss   0.0124, accuracy 99.58, exact match 96.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:31 Iteration 00180200, loss   0.0059, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:32 Iteration 00180300, loss   0.0022, accuracy 100.00, exact match 100.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:32 Iteration 00180400, loss   0.0091, accuracy 99.74, exact match 97.03, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:32 Iteration 00180500, loss   0.0085, accuracy 99.76, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:33 Iteration 00180600, loss   0.0041, accuracy 99.95, exact match 99.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:33 Iteration 00180700, loss   0.0076, accuracy 99.72, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:33 Iteration 00180800, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:34 Iteration 00180900, loss   0.0059, accuracy 99.71, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:34 Iteration 00181000, loss   0.0118, accuracy 99.71, exact match 97.00, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:34 Evaluating..
2020-02-04 06:35 Predicted for 1821 examples.
2020-02-04 06:35 Done predicting in 78.50365233421326 seconds.
2020-02-04 06:35   Evaluation Accuracy: 98.39 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 06:36 Iteration 00181100, loss   0.0084, accuracy 99.67, exact match 97.50, learning_rate 0.00039, aux. accuracy target pos  0.00
2020-02-04 06:36 Iteration 00181200, loss   0.0070, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:36 Iteration 00181300, loss   0.0124, accuracy 99.66, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:37 Iteration 00181400, loss   0.0042, accuracy 99.79, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:37 Iteration 00181500, loss   0.0060, accuracy 99.73, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:37 Iteration 00181600, loss   0.0057, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:38 Iteration 00181700, loss   0.0055, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:38 Iteration 00181800, loss   0.0098, accuracy 99.72, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:38 Iteration 00181900, loss   0.0024, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:39 Iteration 00182000, loss   0.0158, accuracy 99.33, exact match 93.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:39 Evaluating..
2020-02-04 06:40 Predicted for 1821 examples.
2020-02-04 06:40 Done predicting in 78.5572555065155 seconds.
2020-02-04 06:40   Evaluation Accuracy: 98.39 Exact Match: 94.07  Target Accuracy:  0.00
2020-02-04 06:40 Iteration 00182100, loss   0.0081, accuracy 99.76, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:41 Iteration 00182200, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:41 Iteration 00182300, loss   0.0064, accuracy 99.77, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:41 Iteration 00182400, loss   0.0023, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:42 Iteration 00182500, loss   0.0032, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:42 Iteration 00182600, loss   0.0128, accuracy 99.71, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:42 Iteration 00182700, loss   0.0132, accuracy 99.51, exact match 95.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:43 Iteration 00182800, loss   0.0088, accuracy 99.68, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:43 Iteration 00182900, loss   0.0021, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:43 Iteration 00183000, loss   0.0065, accuracy 99.68, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:43 Evaluating..
2020-02-04 06:45 Predicted for 1821 examples.
2020-02-04 06:45 Done predicting in 78.55282139778137 seconds.
2020-02-04 06:45   Evaluation Accuracy: 98.45 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-04 06:45 Iteration 00183100, loss   0.0020, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:45 Iteration 00183200, loss   0.0103, accuracy 99.75, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:46 Iteration 00183300, loss   0.0045, accuracy 99.80, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:46 Iteration 00183400, loss   0.0060, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:46 Iteration 00183500, loss   0.0118, accuracy 99.58, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:47 Iteration 00183600, loss   0.0048, accuracy 99.86, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:47 Iteration 00183700, loss   0.0066, accuracy 99.82, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:47 Iteration 00183800, loss   0.0087, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:48 Iteration 00183900, loss   0.0070, accuracy 99.81, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:48 Iteration 00184000, loss   0.0083, accuracy 99.67, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:48 Evaluating..
2020-02-04 06:49 Predicted for 1821 examples.
2020-02-04 06:49 Done predicting in 78.36871600151062 seconds.
2020-02-04 06:49   Evaluation Accuracy: 98.36 Exact Match: 94.67  Target Accuracy:  0.00
2020-02-04 06:50 Iteration 00184100, loss   0.0064, accuracy 99.62, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:50 Iteration 00184200, loss   0.0078, accuracy 99.60, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:50 Iteration 00184300, loss   0.0080, accuracy 99.85, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:51 Iteration 00184400, loss   0.0036, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:51 Iteration 00184500, loss   0.0056, accuracy 99.77, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:51 Iteration 00184600, loss   0.0070, accuracy 99.91, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:52 Iteration 00184700, loss   0.0140, accuracy 99.52, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:52 Iteration 00184800, loss   0.0057, accuracy 99.80, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:52 Iteration 00184900, loss   0.0125, accuracy 99.66, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:53 Iteration 00185000, loss   0.0038, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:53 Evaluating..
2020-02-04 06:54 Predicted for 1821 examples.
2020-02-04 06:54 Done predicting in 78.3029477596283 seconds.
2020-02-04 06:54   Evaluation Accuracy: 98.50 Exact Match: 95.11  Target Accuracy:  0.00
2020-02-04 06:54 Iteration 00185100, loss   0.0067, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:55 Iteration 00185200, loss   0.0160, accuracy 99.58, exact match 95.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:55 Iteration 00185300, loss   0.0047, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:55 Iteration 00185400, loss   0.0160, accuracy 99.57, exact match 96.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:56 Iteration 00185500, loss   0.0079, accuracy 99.71, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:56 Iteration 00185600, loss   0.0046, accuracy 99.90, exact match 99.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:56 Iteration 00185700, loss   0.0073, accuracy 99.81, exact match 98.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:57 Iteration 00185800, loss   0.0041, accuracy 99.86, exact match 98.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:57 Iteration 00185900, loss   0.0091, accuracy 99.72, exact match 97.00, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:57 Iteration 00186000, loss   0.0067, accuracy 99.77, exact match 97.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:57 Evaluating..
2020-02-04 06:59 Predicted for 1821 examples.
2020-02-04 06:59 Done predicting in 78.40477061271667 seconds.
2020-02-04 06:59   Evaluation Accuracy: 98.44 Exact Match: 95.00  Target Accuracy:  0.00
2020-02-04 06:59 Iteration 00186100, loss   0.0027, accuracy 99.95, exact match 99.50, learning_rate 0.00038, aux. accuracy target pos  0.00
2020-02-04 06:59 Iteration 00186200, loss   0.0122, accuracy 99.62, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:00 Iteration 00186300, loss   0.0026, accuracy 100.00, exact match 100.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:00 Iteration 00186400, loss   0.0066, accuracy 99.71, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:00 Iteration 00186500, loss   0.0055, accuracy 99.76, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:01 Iteration 00186600, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:01 Iteration 00186700, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:01 Iteration 00186800, loss   0.0048, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:02 Iteration 00186900, loss   0.0042, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:02 Iteration 00187000, loss   0.0081, accuracy 99.76, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:02 Evaluating..
2020-02-04 07:03 Predicted for 1821 examples.
2020-02-04 07:03 Done predicting in 78.53834891319275 seconds.
2020-02-04 07:03   Evaluation Accuracy: 98.46 Exact Match: 94.84  Target Accuracy:  0.00
2020-02-04 07:04 Iteration 00187100, loss   0.0088, accuracy 99.66, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:04 Iteration 00187200, loss   0.0045, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:04 Iteration 00187300, loss   0.0112, accuracy 99.63, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:05 Iteration 00187400, loss   0.0083, accuracy 99.68, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:05 Iteration 00187500, loss   0.0067, accuracy 99.67, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:05 Iteration 00187600, loss   0.0101, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:06 Iteration 00187700, loss   0.0039, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:06 Iteration 00187800, loss   0.0045, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:06 Iteration 00187900, loss   0.0062, accuracy 99.66, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:07 Iteration 00188000, loss   0.0097, accuracy 99.68, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:07 Evaluating..
2020-02-04 07:08 Predicted for 1821 examples.
2020-02-04 07:08 Done predicting in 78.55193066596985 seconds.
2020-02-04 07:08   Evaluation Accuracy: 98.64 Exact Match: 95.55  Target Accuracy:  0.00
2020-02-04 07:08 Iteration 00188100, loss   0.0047, accuracy 99.82, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:09 Iteration 00188200, loss   0.0086, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:09 Iteration 00188300, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:09 Iteration 00188400, loss   0.0066, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:10 Iteration 00188500, loss   0.0080, accuracy 99.62, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:10 Iteration 00188600, loss   0.0027, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:10 Iteration 00188700, loss   0.0041, accuracy 99.95, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:11 Iteration 00188800, loss   0.0073, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:11 Iteration 00188900, loss   0.0057, accuracy 99.71, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:11 Iteration 00189000, loss   0.0072, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:11 Evaluating..
2020-02-04 07:13 Predicted for 1821 examples.
2020-02-04 07:13 Done predicting in 78.69047260284424 seconds.
2020-02-04 07:13   Evaluation Accuracy: 98.37 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-04 07:13 Iteration 00189100, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:13 Iteration 00189200, loss   0.0067, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:14 Iteration 00189300, loss   0.0064, accuracy 99.71, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:14 Iteration 00189400, loss   0.0038, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:14 Iteration 00189500, loss   0.0036, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:15 Iteration 00189600, loss   0.0040, accuracy 99.95, exact match 99.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:15 Iteration 00189700, loss   0.0101, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:15 Iteration 00189800, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:16 Iteration 00189900, loss   0.0059, accuracy 99.68, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:16 Iteration 00190000, loss   0.0133, accuracy 99.67, exact match 96.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:16 Evaluating..
2020-02-04 07:17 Predicted for 1821 examples.
2020-02-04 07:17 Done predicting in 78.44012188911438 seconds.
2020-02-04 07:17   Evaluation Accuracy: 98.39 Exact Match: 95.11  Target Accuracy:  0.00
2020-02-04 07:18 Iteration 00190100, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:18 Iteration 00190200, loss   0.0045, accuracy 99.90, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:18 Iteration 00190300, loss   0.0044, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:19 Iteration 00190400, loss   0.0054, accuracy 99.77, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:19 Iteration 00190500, loss   0.0050, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:19 Iteration 00190600, loss   0.0069, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:20 Iteration 00190700, loss   0.0046, accuracy 99.86, exact match 98.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:20 Iteration 00190800, loss   0.0094, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:20 Iteration 00190900, loss   0.0037, accuracy 99.91, exact match 99.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:21 Iteration 00191000, loss   0.0044, accuracy 99.72, exact match 97.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:21 Evaluating..
2020-02-04 07:22 Predicted for 1821 examples.
2020-02-04 07:22 Done predicting in 78.5837984085083 seconds.
2020-02-04 07:22   Evaluation Accuracy: 98.35 Exact Match: 94.45  Target Accuracy:  0.00
2020-02-04 07:22 Iteration 00191100, loss   0.0075, accuracy 99.77, exact match 97.50, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:23 Iteration 00191200, loss   0.0126, accuracy 99.62, exact match 96.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:23 Iteration 00191300, loss   0.0116, accuracy 99.81, exact match 98.00, learning_rate 0.00037, aux. accuracy target pos  0.00
2020-02-04 07:23 Iteration 00191400, loss   0.0061, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:24 Iteration 00191500, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:24 Iteration 00191600, loss   0.0062, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:24 Iteration 00191700, loss   0.0035, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:25 Iteration 00191800, loss   0.0103, accuracy 99.52, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:25 Iteration 00191900, loss   0.0080, accuracy 99.52, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:26 Iteration 00192000, loss   0.0098, accuracy 99.50, exact match 95.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:26 Evaluating..
2020-02-04 07:27 Predicted for 1821 examples.
2020-02-04 07:27 Done predicting in 78.43513536453247 seconds.
2020-02-04 07:27   Evaluation Accuracy: 98.34 Exact Match: 94.29  Target Accuracy:  0.00
2020-02-04 07:27 Iteration 00192100, loss   0.0107, accuracy 99.64, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:27 Iteration 00192200, loss   0.0093, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:28 Iteration 00192300, loss   0.0048, accuracy 99.77, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:28 Iteration 00192400, loss   0.0098, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:28 Iteration 00192500, loss   0.0068, accuracy 99.86, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:29 Iteration 00192600, loss   0.0064, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:29 Iteration 00192700, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:30 Iteration 00192800, loss   0.0023, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:30 Iteration 00192900, loss   0.0036, accuracy 99.80, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:30 Iteration 00193000, loss   0.0042, accuracy 99.95, exact match 99.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:30 Evaluating..
2020-02-04 07:31 Predicted for 1821 examples.
2020-02-04 07:31 Done predicting in 78.41356062889099 seconds.
2020-02-04 07:31   Evaluation Accuracy: 98.67 Exact Match: 95.44  Target Accuracy:  0.00
2020-02-04 07:32 Iteration 00193100, loss   0.0077, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:32 Iteration 00193200, loss   0.0073, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:33 Iteration 00193300, loss   0.0040, accuracy 99.85, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:33 Iteration 00193400, loss   0.0082, accuracy 99.71, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:33 Iteration 00193500, loss   0.0061, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:34 Iteration 00193600, loss   0.0072, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:34 Iteration 00193700, loss   0.0048, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:34 Iteration 00193800, loss   0.0056, accuracy 99.77, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:35 Iteration 00193900, loss   0.0079, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:35 Iteration 00194000, loss   0.0064, accuracy 99.90, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:35 Evaluating..
2020-02-04 07:36 Predicted for 1821 examples.
2020-02-04 07:36 Done predicting in 78.43609118461609 seconds.
2020-02-04 07:36   Evaluation Accuracy: 98.37 Exact Match: 94.62  Target Accuracy:  0.00
2020-02-04 07:37 Iteration 00194100, loss   0.0066, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:37 Iteration 00194200, loss   0.0028, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:37 Iteration 00194300, loss   0.0037, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:38 Iteration 00194400, loss   0.0092, accuracy 99.71, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:38 Iteration 00194500, loss   0.0047, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:38 Iteration 00194600, loss   0.0052, accuracy 99.77, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:39 Iteration 00194700, loss   0.0081, accuracy 99.67, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:39 Iteration 00194800, loss   0.0151, accuracy 99.62, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:39 Iteration 00194900, loss   0.0130, accuracy 99.62, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:40 Iteration 00195000, loss   0.0057, accuracy 99.67, exact match 96.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:40 Evaluating..
2020-02-04 07:41 Predicted for 1821 examples.
2020-02-04 07:41 Done predicting in 78.60579419136047 seconds.
2020-02-04 07:41   Evaluation Accuracy: 98.39 Exact Match: 94.51  Target Accuracy:  0.00
2020-02-04 07:41 Iteration 00195100, loss   0.0074, accuracy 99.78, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:42 Iteration 00195200, loss   0.0097, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:42 Iteration 00195300, loss   0.0049, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:42 Iteration 00195400, loss   0.0059, accuracy 99.86, exact match 98.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:43 Iteration 00195500, loss   0.0026, accuracy 99.91, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:43 Iteration 00195600, loss   0.0091, accuracy 99.76, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:43 Iteration 00195700, loss   0.0124, accuracy 99.63, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:44 Iteration 00195800, loss   0.0104, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:44 Iteration 00195900, loss   0.0045, accuracy 99.81, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:44 Iteration 00196000, loss   0.0078, accuracy 99.57, exact match 96.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:44 Evaluating..
2020-02-04 07:46 Predicted for 1821 examples.
2020-02-04 07:46 Done predicting in 78.5869345664978 seconds.
2020-02-04 07:46   Evaluation Accuracy: 98.45 Exact Match: 94.78  Target Accuracy:  0.00
2020-02-04 07:46 Iteration 00196100, loss   0.0144, accuracy 99.71, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:46 Iteration 00196200, loss   0.0066, accuracy 99.72, exact match 97.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:47 Iteration 00196300, loss   0.0044, accuracy 99.90, exact match 99.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:47 Iteration 00196400, loss   0.0089, accuracy 99.82, exact match 98.00, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:47 Iteration 00196500, loss   0.0073, accuracy 99.73, exact match 97.50, learning_rate 0.00036, aux. accuracy target pos  0.00
2020-02-04 07:48 Iteration 00196600, loss   0.0123, accuracy 99.54, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:48 Iteration 00196700, loss   0.0049, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:48 Iteration 00196800, loss   0.0074, accuracy 99.72, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:49 Iteration 00196900, loss   0.0028, accuracy 99.90, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:49 Iteration 00197000, loss   0.0067, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:49 Evaluating..
2020-02-04 07:50 Predicted for 1821 examples.
2020-02-04 07:50 Done predicting in 78.56836605072021 seconds.
2020-02-04 07:50   Evaluation Accuracy: 98.42 Exact Match: 94.56  Target Accuracy:  0.00
2020-02-04 07:51 Iteration 00197100, loss   0.0062, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:51 Iteration 00197200, loss   0.0039, accuracy 99.85, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:51 Iteration 00197300, loss   0.0033, accuracy 99.90, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:52 Iteration 00197400, loss   0.0076, accuracy 99.63, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:52 Iteration 00197500, loss   0.0078, accuracy 99.67, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:52 Iteration 00197600, loss   0.0128, accuracy 99.67, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:53 Iteration 00197700, loss   0.0049, accuracy 99.76, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:53 Iteration 00197800, loss   0.0050, accuracy 99.86, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:53 Iteration 00197900, loss   0.0128, accuracy 99.68, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:54 Iteration 00198000, loss   0.0045, accuracy 99.90, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:54 Evaluating..
2020-02-04 07:55 Predicted for 1821 examples.
2020-02-04 07:55 Done predicting in 78.51703143119812 seconds.
2020-02-04 07:55   Evaluation Accuracy: 98.59 Exact Match: 95.06  Target Accuracy:  0.00
2020-02-04 07:55 Iteration 00198100, loss   0.0102, accuracy 99.61, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:56 Iteration 00198200, loss   0.0050, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:56 Iteration 00198300, loss   0.0050, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:56 Iteration 00198400, loss   0.0042, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:57 Iteration 00198500, loss   0.0098, accuracy 99.63, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:57 Iteration 00198600, loss   0.0029, accuracy 99.91, exact match 99.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:57 Iteration 00198700, loss   0.0118, accuracy 99.64, exact match 96.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:58 Iteration 00198800, loss   0.0127, accuracy 99.72, exact match 97.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:58 Iteration 00198900, loss   0.0104, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:58 Iteration 00199000, loss   0.0059, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 07:58 Evaluating..
2020-02-04 08:00 Predicted for 1821 examples.
2020-02-04 08:00 Done predicting in 78.54092168807983 seconds.
2020-02-04 08:00   Evaluation Accuracy: 98.45 Exact Match: 94.73  Target Accuracy:  0.00
2020-02-04 08:00 Iteration 00199100, loss   0.0042, accuracy 99.80, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:00 Iteration 00199200, loss   0.0064, accuracy 99.71, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:01 Iteration 00199300, loss   0.0044, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:01 Iteration 00199400, loss   0.0107, accuracy 99.62, exact match 96.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:01 Iteration 00199500, loss   0.0057, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:02 Iteration 00199600, loss   0.0034, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:02 Iteration 00199700, loss   0.0079, accuracy 99.86, exact match 98.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:02 Iteration 00199800, loss   0.0083, accuracy 99.72, exact match 97.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:03 Iteration 00199900, loss   0.0017, accuracy 99.95, exact match 99.50, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:03 Iteration 00200000, loss   0.0051, accuracy 99.81, exact match 98.00, learning_rate 0.00035, aux. accuracy target pos  0.00
2020-02-04 08:03 Evaluating..
2020-02-04 08:04 Predicted for 1821 examples.
2020-02-04 08:04 Done predicting in 78.37768149375916 seconds.
2020-02-04 08:04   Evaluation Accuracy: 98.48 Exact Match: 95.28  Target Accuracy:  0.00
2020-02-04 08:04 Finished training.
