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Migrate model card from transformers-repo

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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/distilbert-base-cased-README.md

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+ ---
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+ language: en
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+ license: apache-2.0
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+ datasets:
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+ - bookcorpus
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+ - wikipedia
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+ ---
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+
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+ # DistilBERT base model (cased)
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+
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+ This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-cased).
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+ It was introduced in [this paper](https://arxiv.org/abs/1910.01108).
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+ The code for the distillation process can be found
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+ [here](https://github.com/huggingface/transformers/tree/master/examples/distillation).
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+ This model is cased: it does make a difference between english and English.
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+
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+ All the training details on the pre-training, the uses, limitations and potential biases are the same as for [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased).
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+ We highly encourage to check it if you want to know more.
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+
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+ ## Evaluation results
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+
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+ When fine-tuned on downstream tasks, this model achieves the following results:
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+
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+ Glue test results:
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+
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+ | Task | MNLI | QQP | QNLI | SST-2 | CoLA | STS-B | MRPC | RTE |
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+ |:----:|:----:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|
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+ | | 81.5 | 87.8 | 88.2 | 90.4 | 47.2 | 85.5 | 85.6 | 60.6 |
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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+ @article{Sanh2019DistilBERTAD,
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+ title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
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+ author={Victor Sanh and Lysandre Debut and Julien Chaumond and Thomas Wolf},
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+ journal={ArXiv},
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+ year={2019},
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+ volume={abs/1910.01108}
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+ }
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+ ```