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README.md
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model-index:
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- name: tinyroberta-squad2-finetuned-emrqa-msquad
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results: []
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---
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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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# tinyroberta-squad2-finetuned-emrqa-msquad
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This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0435
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model-index:
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- name: tinyroberta-squad2-finetuned-emrqa-msquad
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results: []
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datasets:
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- Eladio/emrqa-msquad
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language:
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- en
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metrics:
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- exact_match
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- f1
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- precision
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- recall
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- bleu
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- rouge
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pipeline_tag: question-answering
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---
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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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# tinyroberta-squad2-finetuned-emrqa-msquad
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This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/Eladio/emrqa-msquad).
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It achieves the following results on the evaluation set:
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- Loss: 0.0435
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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