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bert-base-uncased-mnli_from_bert-large-uncased-mnli

Text Classification Transformers PyTorch
English bert mnli ax glue kd torchdistill Inference Endpoints
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  1. README.md +20 -0
  2. config.json +36 -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 +88 -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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+ - mnli
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+ - ax
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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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+ - mnli
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+ - ax
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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 MNLI 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/mnli/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": "mnli",
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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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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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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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+ {"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"}
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+ 2021-05-31 19:12:19,502 INFO __main__ Namespace(adjust_lr=False, config='torchdistill/configs/sample/glue/mnli/kd/bert_base_uncased_from_bert_large_uncased.yaml', log='log/glue/mnli/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='mnli', test_only=False, world_size=1)
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+ 2021-05-31 19:12:19,563 INFO __main__ Distributed environment: NO
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+ Num processes: 1
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+ Process index: 0
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+ Device: cuda
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+ Use FP16 precision: True
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+ 2021-05-31 19:14:53,610 INFO __main__ Start training
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+ 2021-05-31 19:14:53,610 INFO torchdistill.models.util [teacher model]
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+ 2021-05-31 19:14:53,610 INFO torchdistill.models.util Using the original teacher model
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+ 2021-05-31 19:14:53,610 INFO torchdistill.models.util [student model]
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+ 2021-05-31 19:14:53,611 INFO torchdistill.models.util Using the original student model
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+ 2021-05-31 19:14:53,611 INFO torchdistill.core.distillation Loss = 1.0 * OrgLoss
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+ 2021-05-31 19:14:53,611 INFO torchdistill.core.distillation Freezing the whole teacher model
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+ 2021-05-31 19:41:04,501 INFO __main__ Validation: accuracy = 0.8412633723892002
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+ 2021-05-31 19:41:04,501 INFO __main__ Updating ckpt at ./resource/ckpt/glue/mnli/kd/mnli-bert-base-uncased_from_bert-large-uncased
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+ 2021-05-31 20:07:02,616 INFO torchdistill.misc.log Epoch: [1] Total time: 0:25:57
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+ 2021-05-31 20:07:10,347 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/mnli/default_experiment-1-0.arrow
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+ 2021-05-31 20:07:10,348 INFO __main__ Validation: accuracy = 0.8530820173204279
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+ 2021-05-31 20:07:10,348 INFO __main__ Updating ckpt at ./resource/ckpt/glue/mnli/kd/mnli-bert-base-uncased_from_bert-large-uncased
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+ 2021-05-31 20:15:38,928 INFO torchdistill.misc.log Epoch: [2] [ 4000/12272] eta: 0:17:29 lr: 2.2465775749674055e-05 sample/s: 37.40997928507879 loss: 0.0019 (0.0023) time: 0.1170 data: 0.0045 max mem: 5109
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+ 2021-05-31 20:33:06,083 INFO torchdistill.misc.log Epoch: [2] Total time: 0:25:54
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+ 2021-05-31 20:33:13,819 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/mnli/default_experiment-1-0.arrow
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+ 2021-05-31 20:33:13,820 INFO __main__ Validation: accuracy = 0.8582781456953642
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+ 2021-05-31 20:33:13,820 INFO __main__ Updating ckpt at ./resource/ckpt/glue/mnli/kd/mnli-bert-base-uncased_from_bert-large-uncased
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+ 2021-05-31 20:33:15,094 INFO __main__ [Teacher: bert-large-uncased]
80
+ 2021-05-31 20:33:28,908 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/mnli/default_experiment-1-0.arrow
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+ 2021-05-31 20:33:28,908 INFO __main__ Test: accuracy = 0.8665308201732043
82
+ 2021-05-31 20:33:32,568 INFO __main__ [Student: bert-base-uncased]
83
+ 2021-05-31 20:33:40,325 INFO /usr/local/lib/python3.7/dist-packages/datasets/metric.py Removing /root/.cache/huggingface/metrics/glue/mnli/default_experiment-1-0.arrow
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+ 2021-05-31 20:33:40,326 INFO __main__ Test: accuracy = 0.8582781456953642
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+ 2021-05-31 20:33:40,326 INFO __main__ Start prediction for private dataset(s)
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+ 2021-05-31 20:33:40,327 INFO __main__ mnli/test_m: 9796 samples
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+ 2021-05-31 20:33:47,980 INFO __main__ mnli/test_mm: 9847 samples
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+ 2021-05-31 20:33:55,598 INFO __main__ ax/test_ax: 1104 samples
vocab.txt ADDED
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