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bert-base-uncased-qqp

Text Classification
Transformers
PyTorch
English
bert
qqp
glue
torchdistill
Inference Endpoints
Model card Files Community
1
yoshitomo-matsubara commited on
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Files changed (8) hide show
  1. README.md +18 -0
  2. config.json +26 -0
  3. pytorch_model.bin +3 -0
  4. special_tokens_map.json +1 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +1 -0
  7. training.log +99 -0
  8. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ language: en
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+ tags:
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+ - bert
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+ - qqp
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+ - glue
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+ - torchdistill
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+ license: apache-2.0
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+ datasets:
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+ - qqp
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+ metrics:
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+ - f1
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+ - accuracy
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+ ---
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+
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+ `bert-base-uncased` fine-tuned on QQP dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo-matsubara/torchdistill/blob/master/demo/glue_finetuning_and_submission.ipynb).
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+ The hyperparameters are the same as those in Hugging Face's example and/or the paper of BERT, and the training configuration (including hyperparameters) is available [here](https://github.com/yoshitomo-matsubara/torchdistill/blob/main/configs/sample/glue/qqp/ce/bert_base_uncased.yaml).
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+ I submitted prediction files to [the GLUE leaderboard](https://gluebenchmark.com/leaderboard), and the overall GLUE score was **77.9**.
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "finetuning_task": "qqp",
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "4.6.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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+ size 438024457
special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_lower": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased"}
training.log ADDED
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+ 2021-05-28 21:41:37,358 INFO __main__ Namespace(adjust_lr=False, config='torchdistill/configs/sample/glue/qqp/ce/bert_base_uncased.yaml', log='log/glue/qqp/ce/bert_base_uncased.txt', private_output='leaderboard/glue/standard/bert_base_uncased/', seed=None, student_only=False, task_name='qqp', test_only=False, world_size=1)
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+ 2021-05-28 21:41:37,386 INFO __main__ Distributed environment: NO
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+ Num processes: 1
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+ Process index: 0
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+ Local process index: 0
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+ Device: cuda
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+ Use FP16 precision: True
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+
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+ 2021-05-28 21:41:42,076 WARNING datasets.builder Reusing dataset glue (/root/.cache/huggingface/datasets/glue/qqp/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad)
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+ 2021-05-28 21:42:41,913 INFO __main__ Start training
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+ 2021-05-28 21:42:41,913 INFO torchdistill.models.util [student model]
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+ 2021-05-28 21:42:41,914 INFO torchdistill.models.util Using the original student model
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+ 2021-05-28 21:42:41,914 INFO torchdistill.core.training Loss = 1.0 * OrgLoss
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+ 2021-05-28 21:42:44,608 INFO torchdistill.misc.log Epoch: [0] [ 0/22741] eta: 1:02:12 lr: 4.999926710933263e-05 sample/s: 28.09482152306569 loss: 0.5684 (0.5684) time: 0.1641 data: 0.0218 max mem: 1891
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+ 2021-05-28 22:34:12,553 INFO torchdistill.misc.log Epoch: [0] Total time: 0:51:28
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+ 2021-05-28 22:35:52,473 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow
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+ 2021-05-28 22:35:52,475 INFO __main__ Validation: accuracy = 0.9028938906752412, f1 = 0.8703006276841757
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+ 2021-05-28 22:35:52,475 INFO __main__ Updating ckpt at ./resource/ckpt/glue/qqp/ce/qqp-bert-base-uncased
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+ 2021-05-28 23:27:19,524 INFO torchdistill.misc.log Epoch: [1] Total time: 0:51:25
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+ 2021-05-28 23:28:59,456 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow
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+ 2021-05-28 23:28:59,458 INFO __main__ Validation: accuracy = 0.9066782092505565, f1 = 0.8765904556307854
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+ 2021-05-28 23:28:59,459 INFO __main__ Updating ckpt at ./resource/ckpt/glue/qqp/ce/qqp-bert-base-uncased
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+ 2021-05-28 23:29:00,762 INFO torchdistill.misc.log Epoch: [2] [ 0/22741] eta: 0:52:36 lr: 1.66659337759993e-05 sample/s: 35.41260205503162 loss: 0.0020 (0.0020) time: 0.1388 data: 0.0258 max mem: 3206
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+ 2021-05-28 23:51:30,840 INFO torchdistill.misc.log Epoch: [2] [10000/22741] eta: 0:28:40 lr: 9.33702710229688e-06 sample/s: 35.751504987501946 loss: 0.0000 (0.2629) time: 0.1275 data: 0.0021 max mem: 3206
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+ 2021-05-28 23:53:45,522 INFO torchdistill.misc.log Epoch: [2] [11000/22741] eta: 0:26:24 lr: 8.604136434926637e-06 sample/s: 29.622255337481374 loss: 0.0000 (0.2632) time: 0.1303 data: 0.0020 max mem: 3206
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+ 2021-05-28 23:55:59,507 INFO torchdistill.misc.log Epoch: [2] [12000/22741] eta: 0:24:08 lr: 7.871245767556396e-06 sample/s: 35.754933635673915 loss: 0.0000 (0.2629) time: 0.1290 data: 0.0019 max mem: 3206
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+ 2021-05-28 23:58:15,335 INFO torchdistill.misc.log Epoch: [2] [13000/22741] eta: 0:21:54 lr: 7.1383551001861544e-06 sample/s: 35.821579784565124 loss: 0.0058 (0.2626) time: 0.1291 data: 0.0020 max mem: 3206
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+ 2021-05-29 00:00:30,646 INFO torchdistill.misc.log Epoch: [2] [14000/22741] eta: 0:19:39 lr: 6.405464432815913e-06 sample/s: 33.14227467217681 loss: 0.0000 (0.2610) time: 0.1348 data: 0.0019 max mem: 3206
83
+ 2021-05-29 00:02:43,835 INFO torchdistill.misc.log Epoch: [2] [15000/22741] eta: 0:17:24 lr: 5.672573765445672e-06 sample/s: 27.24148927533408 loss: 0.0000 (0.2609) time: 0.1321 data: 0.0019 max mem: 3206
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+ 2021-05-29 00:04:58,889 INFO torchdistill.misc.log Epoch: [2] [16000/22741] eta: 0:15:09 lr: 4.93968309807543e-06 sample/s: 35.784523504820406 loss: 0.0000 (0.2591) time: 0.1300 data: 0.0020 max mem: 3206
85
+ 2021-05-29 00:07:13,971 INFO torchdistill.misc.log Epoch: [2] [17000/22741] eta: 0:12:54 lr: 4.206792430705188e-06 sample/s: 29.886306308874037 loss: 0.0000 (0.2589) time: 0.1387 data: 0.0019 max mem: 3206
86
+ 2021-05-29 00:09:30,372 INFO torchdistill.misc.log Epoch: [2] [18000/22741] eta: 0:10:39 lr: 3.473901763334946e-06 sample/s: 32.35147476243367 loss: 0.0000 (0.2577) time: 0.1410 data: 0.0019 max mem: 3206
87
+ 2021-05-29 00:11:47,544 INFO torchdistill.misc.log Epoch: [2] [19000/22741] eta: 0:08:25 lr: 2.7410110959647043e-06 sample/s: 25.485669147804952 loss: 0.0000 (0.2556) time: 0.1318 data: 0.0019 max mem: 3206
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+ 2021-05-29 00:14:02,842 INFO torchdistill.misc.log Epoch: [2] [20000/22741] eta: 0:06:10 lr: 2.0081204285944624e-06 sample/s: 35.68428418592087 loss: 0.0000 (0.2549) time: 0.1366 data: 0.0020 max mem: 3206
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+ 2021-05-29 00:16:16,820 INFO torchdistill.misc.log Epoch: [2] [21000/22741] eta: 0:03:55 lr: 1.2752297612242206e-06 sample/s: 30.313933171800834 loss: 0.0000 (0.2551) time: 0.1303 data: 0.0019 max mem: 3206
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+ 2021-05-29 00:18:32,152 INFO torchdistill.misc.log Epoch: [2] [22000/22741] eta: 0:01:40 lr: 5.423390938539788e-07 sample/s: 27.488987015114898 loss: 0.0000 (0.2537) time: 0.1327 data: 0.0019 max mem: 3206
91
+ 2021-05-29 00:20:12,904 INFO torchdistill.misc.log Epoch: [2] Total time: 0:51:12
92
+ 2021-05-29 00:21:52,921 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow
93
+ 2021-05-29 00:21:52,922 INFO __main__ Validation: accuracy = 0.9093742270591145, f1 = 0.8781833898530488
94
+ 2021-05-29 00:21:52,923 INFO __main__ Updating ckpt at ./resource/ckpt/glue/qqp/ce/qqp-bert-base-uncased
95
+ 2021-05-29 00:21:57,493 INFO __main__ [Student: bert-base-uncased]
96
+ 2021-05-29 00:23:37,517 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/qqp/default_experiment-1-0.arrow
97
+ 2021-05-29 00:23:37,519 INFO __main__ Test: accuracy = 0.9093742270591145, f1 = 0.8781833898530488
98
+ 2021-05-29 00:23:37,519 INFO __main__ Start prediction for private dataset(s)
99
+ 2021-05-29 00:23:37,520 INFO __main__ qqp/test: 390965 samples
vocab.txt ADDED
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