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| INFO:gluonnlp:16:37:28 Namespace(accumulate=None, batch_size=12, bert_dataset='book_corpus_wiki_en_uncased', bert_model='bert_12_768_12', debug=False, doc_stride=128, epochs=2, gpu=0, load_feature_from_pickle=False, log_interval=50, lr=3e-05, max_answer_length=30, max_query_length=64, max_seq_length=384, model_parameters=None, n_best_size=20, null_score_diff_threshold=0.0, only_predict=False, optimizer='adam', output_dir='./output_dir', pretrained_bert_parameters=None, sentencepiece=None, test_batch_size=24, training_steps=None, uncased=True, version_2=False, warmup_ratio=0.1) | |
| INFO:gluonnlp:16:37:35 Loading train data... | |
| INFO:gluonnlp:16:37:36 Number of records in Train data:87599 | |
| INFO:gluonnlp:16:38:17 The number of examples after preprocessing:88641 | |
| INFO:gluonnlp:16:38:18 Start Training | |
| INFO:gluonnlp:16:38:39 Epoch: 0, Batch: 49/7387, Loss=5.6445, lr=0.0000010 Time cost=21.1 Thoughput=28.48 samples/s | |
| INFO:gluonnlp:16:38:58 Epoch: 0, Batch: 99/7387, Loss=5.4744, lr=0.0000020 Time cost=19.1 Thoughput=31.46 samples/s | |
| INFO:gluonnlp:16:39:17 Epoch: 0, Batch: 149/7387, Loss=5.2426, lr=0.0000030 Time cost=19.4 Thoughput=30.92 samples/s | |
| INFO:gluonnlp:16:39:38 Epoch: 0, Batch: 199/7387, Loss=4.9389, lr=0.0000041 Time cost=20.9 Thoughput=28.78 samples/s | |
| INFO:gluonnlp:16:39:58 Epoch: 0, Batch: 249/7387, Loss=4.5655, lr=0.0000051 Time cost=19.6 Thoughput=30.67 samples/s | |
| INFO:gluonnlp:16:40:18 Epoch: 0, Batch: 299/7387, Loss=4.2618, lr=0.0000061 Time cost=20.4 Thoughput=29.47 samples/s | |
| INFO:gluonnlp:16:40:37 Epoch: 0, Batch: 349/7387, Loss=3.8745, lr=0.0000071 Time cost=19.4 Thoughput=30.98 samples/s | |
| INFO:gluonnlp:16:40:58 Epoch: 0, Batch: 399/7387, Loss=3.3431, lr=0.0000081 Time cost=20.4 Thoughput=29.46 samples/s | |
| INFO:gluonnlp:16:41:18 Epoch: 0, Batch: 449/7387, Loss=3.1488, lr=0.0000091 Time cost=20.1 Thoughput=29.81 samples/s | |
| INFO:gluonnlp:16:41:37 Epoch: 0, Batch: 499/7387, Loss=2.8444, lr=0.0000102 Time cost=19.6 Thoughput=30.66 samples/s | |
| INFO:gluonnlp:16:41:59 Epoch: 0, Batch: 549/7387, Loss=2.7493, lr=0.0000112 Time cost=21.2 Thoughput=28.34 samples/s | |
| INFO:gluonnlp:16:42:18 Epoch: 0, Batch: 599/7387, Loss=2.5771, lr=0.0000122 Time cost=19.7 Thoughput=30.53 samples/s | |
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| INFO:gluonnlp:16:43:17 Epoch: 0, Batch: 749/7387, Loss=2.0994, lr=0.0000152 Time cost=20.0 Thoughput=30.04 samples/s | |
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| INFO:gluonnlp:18:03:15 Epoch: 1, Batch: 5499/7387, Loss=0.7904, lr=0.0000043 Time cost=21.5 Thoughput=27.85 samples/s | |
| INFO:gluonnlp:18:03:34 Epoch: 1, Batch: 5549/7387, Loss=0.6533, lr=0.0000041 Time cost=19.9 Thoughput=30.19 samples/s | |
| INFO:gluonnlp:18:03:55 Epoch: 1, Batch: 5599/7387, Loss=0.7421, lr=0.0000040 Time cost=20.7 Thoughput=29.01 samples/s | |
| INFO:gluonnlp:18:04:14 Epoch: 1, Batch: 5649/7387, Loss=0.6381, lr=0.0000039 Time cost=19.3 Thoughput=31.12 samples/s | |
| INFO:gluonnlp:18:04:36 Epoch: 1, Batch: 5699/7387, Loss=0.7950, lr=0.0000038 Time cost=21.3 Thoughput=28.14 samples/s | |
| INFO:gluonnlp:18:04:55 Epoch: 1, Batch: 5749/7387, Loss=0.6746, lr=0.0000037 Time cost=19.2 Thoughput=31.27 samples/s | |
| INFO:gluonnlp:18:05:15 Epoch: 1, Batch: 5799/7387, Loss=0.7075, lr=0.0000036 Time cost=19.9 Thoughput=30.10 samples/s | |
| INFO:gluonnlp:18:05:34 Epoch: 1, Batch: 5849/7387, Loss=0.6931, lr=0.0000035 Time cost=18.9 Thoughput=31.76 samples/s | |
| INFO:gluonnlp:18:05:54 Epoch: 1, Batch: 5899/7387, Loss=0.7216, lr=0.0000034 Time cost=20.4 Thoughput=29.35 samples/s | |
| INFO:gluonnlp:18:06:14 Epoch: 1, Batch: 5949/7387, Loss=0.6590, lr=0.0000032 Time cost=20.2 Thoughput=29.69 samples/s | |
| INFO:gluonnlp:18:06:34 Epoch: 1, Batch: 5999/7387, Loss=0.7205, lr=0.0000031 Time cost=19.3 Thoughput=31.03 samples/s | |
| INFO:gluonnlp:18:06:56 Epoch: 1, Batch: 6049/7387, Loss=0.7693, lr=0.0000030 Time cost=21.8 Thoughput=27.52 samples/s | |
| INFO:gluonnlp:18:07:16 Epoch: 1, Batch: 6099/7387, Loss=0.7801, lr=0.0000029 Time cost=20.1 Thoughput=29.88 samples/s | |
| INFO:gluonnlp:18:07:36 Epoch: 1, Batch: 6149/7387, Loss=0.7402, lr=0.0000028 Time cost=20.2 Thoughput=29.68 samples/s | |
| INFO:gluonnlp:18:07:54 Epoch: 1, Batch: 6199/7387, Loss=0.7524, lr=0.0000027 Time cost=18.1 Thoughput=33.10 samples/s | |
| INFO:gluonnlp:18:08:12 Epoch: 1, Batch: 6249/7387, Loss=0.7354, lr=0.0000026 Time cost=18.4 Thoughput=32.53 samples/s | |
| INFO:gluonnlp:18:08:32 Epoch: 1, Batch: 6299/7387, Loss=0.7584, lr=0.0000025 Time cost=20.0 Thoughput=30.04 samples/s | |
| INFO:gluonnlp:18:08:52 Epoch: 1, Batch: 6349/7387, Loss=0.7124, lr=0.0000023 Time cost=19.1 Thoughput=31.42 samples/s | |
| INFO:gluonnlp:18:09:11 Epoch: 1, Batch: 6399/7387, Loss=0.7461, lr=0.0000022 Time cost=20.0 Thoughput=30.01 samples/s | |
| INFO:gluonnlp:18:09:31 Epoch: 1, Batch: 6449/7387, Loss=0.7452, lr=0.0000021 Time cost=19.4 Thoughput=30.89 samples/s | |
| INFO:gluonnlp:18:09:50 Epoch: 1, Batch: 6499/7387, Loss=0.7357, lr=0.0000020 Time cost=19.1 Thoughput=31.35 samples/s | |
| INFO:gluonnlp:18:10:10 Epoch: 1, Batch: 6549/7387, Loss=0.7401, lr=0.0000019 Time cost=19.5 Thoughput=30.73 samples/s | |
| INFO:gluonnlp:18:10:29 Epoch: 1, Batch: 6599/7387, Loss=0.6658, lr=0.0000018 Time cost=19.2 Thoughput=31.25 samples/s | |
| INFO:gluonnlp:18:10:49 Epoch: 1, Batch: 6649/7387, Loss=0.7373, lr=0.0000017 Time cost=20.3 Thoughput=29.51 samples/s | |
| INFO:gluonnlp:18:11:09 Epoch: 1, Batch: 6699/7387, Loss=0.8346, lr=0.0000015 Time cost=20.1 Thoughput=29.88 samples/s | |
| INFO:gluonnlp:18:11:30 Epoch: 1, Batch: 6749/7387, Loss=0.7577, lr=0.0000014 Time cost=20.4 Thoughput=29.40 samples/s | |
| INFO:gluonnlp:18:11:49 Epoch: 1, Batch: 6799/7387, Loss=0.6842, lr=0.0000013 Time cost=19.3 Thoughput=31.03 samples/s | |
| INFO:gluonnlp:18:12:10 Epoch: 1, Batch: 6849/7387, Loss=0.7970, lr=0.0000012 Time cost=20.6 Thoughput=29.15 samples/s | |
| INFO:gluonnlp:18:12:28 Epoch: 1, Batch: 6899/7387, Loss=0.7036, lr=0.0000011 Time cost=18.6 Thoughput=32.25 samples/s | |
| INFO:gluonnlp:18:12:47 Epoch: 1, Batch: 6949/7387, Loss=0.7592, lr=0.0000010 Time cost=19.2 Thoughput=31.32 samples/s | |
| INFO:gluonnlp:18:13:07 Epoch: 1, Batch: 6999/7387, Loss=0.7050, lr=0.0000009 Time cost=19.6 Thoughput=30.60 samples/s | |
| INFO:gluonnlp:18:13:27 Epoch: 1, Batch: 7049/7387, Loss=0.7941, lr=0.0000008 Time cost=19.6 Thoughput=30.60 samples/s | |
| INFO:gluonnlp:18:13:47 Epoch: 1, Batch: 7099/7387, Loss=0.7580, lr=0.0000006 Time cost=20.3 Thoughput=29.51 samples/s | |
| INFO:gluonnlp:18:14:07 Epoch: 1, Batch: 7149/7387, Loss=0.7016, lr=0.0000005 Time cost=19.8 Thoughput=30.25 samples/s | |
| INFO:gluonnlp:18:14:27 Epoch: 1, Batch: 7199/7387, Loss=0.7169, lr=0.0000004 Time cost=20.0 Thoughput=29.98 samples/s | |
| INFO:gluonnlp:18:14:46 Epoch: 1, Batch: 7249/7387, Loss=0.6893, lr=0.0000003 Time cost=19.5 Thoughput=30.76 samples/s | |
| INFO:gluonnlp:18:15:06 Epoch: 1, Batch: 7299/7387, Loss=0.7869, lr=0.0000002 Time cost=19.6 Thoughput=30.61 samples/s | |
| INFO:gluonnlp:18:15:26 Epoch: 1, Batch: 7349/7387, Loss=0.6837, lr=0.0000001 Time cost=19.9 Thoughput=30.23 samples/s | |
| INFO:gluonnlp:18:15:40 Finish training step: 14773 | |
| INFO:gluonnlp:18:15:40 Time cost=5842.42 s, Thoughput=30.34 samples/s | |
| INFO:gluonnlp:18:15:44 Loading dev data... | |
| INFO:gluonnlp:18:15:44 Number of records in dev data:10570 | |
| INFO:gluonnlp:18:15:55 The number of examples after preprocessing:10833 | |
| INFO:gluonnlp:18:15:56 start prediction | |
| INFO:gluonnlp:18:16:55 Time cost=59.30 s, Thoughput=182.69 samples/s | |
| INFO:gluonnlp:18:16:55 Get prediction results... | |
| INFO:gluonnlp:18:17:39 {'exact_match': 81.26773888363293, 'f1': 88.5857634479705} |