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bert-base-uncased-rte_from_bert-large-uncased-rte

Text Classification
Transformers
PyTorch
Safetensors
English
bert
rte
glue
kd
torchdistill
Inference Endpoints
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yoshitomo-matsubara commited on
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  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 +41 -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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+ - rte
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+ - glue
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+ - kd
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+ - torchdistill
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+ license: apache-2.0
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+ datasets:
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+ - rte
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+ metrics:
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+ - accuracy
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+ ---
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+
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+ `bert-base-uncased` fine-tuned on RTE dataset, using fine-tuned `bert-large-uncased` as a teacher model, [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo-matsubara/torchdistill/blob/master/demo/glue_kd_and_submission.ipynb) for knowledge distillation.
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+ The training configuration (including hyperparameters) is available [here](https://github.com/yoshitomo-matsubara/torchdistill/blob/main/configs/sample/glue/rte/kd/bert_base_uncased_from_bert_large_uncased.yaml).
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+ I submitted prediction files to [the GLUE leaderboard](https://gluebenchmark.com/leaderboard), and the overall GLUE score was **78.9**.
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": "rte",
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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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+ }
pytorch_model.bin ADDED
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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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+ 2021-05-31 17:50:29,582 INFO __main__ Namespace(adjust_lr=False, config='torchdistill/configs/sample/glue/rte/kd/bert_base_uncased_from_bert_large_uncased.yaml', log='log/glue/rte/kd/bert_base_uncased_from_bert_large_uncased.txt', private_output='leaderboard/glue/kd/bert_base_uncased_from_bert_large_uncased/', seed=None, student_only=False, task_name='rte', test_only=False, world_size=1)
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+ 2021-05-31 17:50:29,613 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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+ 2021-05-31 17:50:39,943 WARNING datasets.builder Reusing dataset glue (/root/.cache/huggingface/datasets/glue/rte/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad)
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+ 2021-05-31 17:50:41,587 INFO __main__ Start training
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+ 2021-05-31 17:50:41,587 INFO torchdistill.models.util [teacher model]
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+ 2021-05-31 17:50:41,587 INFO torchdistill.models.util Using the original teacher model
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+ 2021-05-31 17:50:41,588 INFO torchdistill.models.util [student model]
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+ 2021-05-31 17:50:41,588 INFO torchdistill.models.util Using the original student model
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+ 2021-05-31 17:50:41,588 INFO torchdistill.core.distillation Loss = 1.0 * OrgLoss
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+ 2021-05-31 17:50:41,588 INFO torchdistill.core.distillation Freezing the whole teacher model
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+ 2021-05-31 17:50:45,473 INFO torchdistill.misc.log Epoch: [0] [ 0/78] eta: 0:01:02 lr: 9.957264957264958e-05 sample/s: 5.016064534395792 loss: 0.0097 (0.0097) time: 0.8039 data: 0.0065 max mem: 3804
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+ 2021-05-31 17:51:25,664 INFO torchdistill.misc.log Epoch: [0] [50/78] eta: 0:00:22 lr: 7.820512820512821e-05 sample/s: 5.000885583822104 loss: 0.0065 (0.0081) time: 0.8035 data: 0.0049 max mem: 5115
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+ 2021-05-31 17:51:47,044 INFO torchdistill.misc.log Epoch: [0] Total time: 0:01:02
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+ 2021-05-31 17:51:48,268 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/rte/default_experiment-1-0.arrow
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+ 2021-05-31 17:51:48,268 INFO __main__ Validation: accuracy = 0.6570397111913358
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+ 2021-05-31 17:51:48,268 INFO __main__ Updating ckpt at ./resource/ckpt/glue/rte/kd/rte-bert-base-uncased_from_bert-large-uncased
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+ 2021-05-31 17:51:50,012 INFO torchdistill.misc.log Epoch: [1] [ 0/78] eta: 0:01:02 lr: 6.623931623931624e-05 sample/s: 5.007037577218317 loss: 0.0042 (0.0042) time: 0.8055 data: 0.0066 max mem: 5115
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+ 2021-05-31 17:52:30,204 INFO torchdistill.misc.log Epoch: [1] [50/78] eta: 0:00:22 lr: 4.4871794871794874e-05 sample/s: 4.994946466605415 loss: 0.0033 (0.0032) time: 0.8037 data: 0.0050 max mem: 5115
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+ 2021-05-31 17:52:51,720 INFO torchdistill.misc.log Epoch: [1] Total time: 0:01:02
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+ 2021-05-31 17:52:52,943 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/rte/default_experiment-1-0.arrow
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+ 2021-05-31 17:52:52,943 INFO __main__ Validation: accuracy = 0.6859205776173285
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+ 2021-05-31 17:52:52,943 INFO __main__ Updating ckpt at ./resource/ckpt/glue/rte/kd/rte-bert-base-uncased_from_bert-large-uncased
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+ 2021-05-31 17:52:54,985 INFO torchdistill.misc.log Epoch: [2] [ 0/78] eta: 0:01:03 lr: 3.290598290598291e-05 sample/s: 5.004806067380402 loss: 0.0014 (0.0014) time: 0.8145 data: 0.0153 max mem: 5115
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+ 2021-05-31 17:53:35,181 INFO torchdistill.misc.log Epoch: [2] [50/78] eta: 0:00:22 lr: 1.153846153846154e-05 sample/s: 5.00735140278351 loss: 0.0012 (0.0013) time: 0.8039 data: 0.0051 max mem: 5115
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+ 2021-05-31 17:53:56,746 INFO torchdistill.misc.log Epoch: [2] Total time: 0:01:02
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+ 2021-05-31 17:53:57,970 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/rte/default_experiment-1-0.arrow
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+ 2021-05-31 17:53:57,970 INFO __main__ Validation: accuracy = 0.6823104693140795
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+ 2021-05-31 17:53:58,006 INFO __main__ [Teacher: bert-large-uncased]
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+ 2021-05-31 17:54:01,530 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/rte/default_experiment-1-0.arrow
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+ 2021-05-31 17:54:01,530 INFO __main__ Test: accuracy = 0.740072202166065
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+ 2021-05-31 17:54:04,735 INFO __main__ [Student: bert-base-uncased]
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+ 2021-05-31 17:54:05,975 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/rte/default_experiment-1-0.arrow
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+ 2021-05-31 17:54:05,976 INFO __main__ Test: accuracy = 0.6859205776173285
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+ 2021-05-31 17:54:05,976 INFO __main__ Start prediction for private dataset(s)
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+ 2021-05-31 17:54:05,977 INFO __main__ rte/test: 3000 samples
vocab.txt ADDED
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