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@@ -19,10 +19,6 @@ language:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.3537
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-
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  ## Model description
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  BERTbase fine-tuned on SQuAD 2.0 : Encoder-based Transformer Language model, pretrained with Masked Language Modeling and Next Sentence Prediction.<br>
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  | 0.6805 | 2.0 | 16470 | 1.0820 |
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  | 0.4542 | 3.0 | 24705 | 1.3537 |
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  ### Framework versions
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  ## Model description
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  BERTbase fine-tuned on SQuAD 2.0 : Encoder-based Transformer Language model, pretrained with Masked Language Modeling and Next Sentence Prediction.<br>
 
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  | 0.6805 | 2.0 | 16470 | 1.0820 |
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  | 0.4542 | 3.0 | 24705 | 1.3537 |
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3537
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  ### Framework versions
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