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+ ---
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+ language: en
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+ tags:
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+ - sst2
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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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+ - sst2
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+ metrics:
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+ - accuracy
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+ ---
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+
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+ `bert-large-uncased` fine-tuned on SST-2 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/sst2/ce/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 **79.1**.