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model tuned

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  1. README.md +3 -1
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  license: apache-2.0
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  base_model: google-bert/bert-base-cased
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  tags:
 
 
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  - generated_from_trainer
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  metrics:
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  - f1
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-cased-qa-mash-covid
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- This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4945
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  - Exact Match: 0.0
 
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  license: apache-2.0
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  base_model: google-bert/bert-base-cased
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  tags:
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+ - question-answering
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+ - nlp
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  - generated_from_trainer
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  metrics:
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  - f1
 
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  # bert-base-cased-qa-mash-covid
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+ This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the mashqa_covid_dataset dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4945
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  - Exact Match: 0.0