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@@ -29,5 +29,6 @@ This model reaches an accuracy of 91.3 on the dev set.
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  - **License:** Apache-2.0
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  - **Parent Model:** For more details about DistilBERT, we encourage users to check out [this model card](https://huggingface.co/distilbert-base-uncased).
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  - **Resources for more information:**
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- - [Model Documentation](https://huggingface.co/docs/transformers/main/en/model_doc/distilbert#transformers.DistilBertForSequenceClassification)
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- - [DistilBERT paper](https://arxiv.org/abs/1910.01108)
 
 
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  - **License:** Apache-2.0
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  - **Parent Model:** For more details about DistilBERT, we encourage users to check out [this model card](https://huggingface.co/distilbert-base-uncased).
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  - **Resources for more information:**
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+ - The model was pre-trained with task-adaptive pre-training [TAPT](https://arxiv.org/pdf/2004.10964.pdf)
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+ - fine-tuned on sst with subtrees
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+ - fine-tuned on sst2