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update model card README.md
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README.md
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tags:
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: bert-large-uncased-semeval2014
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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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@@ -14,7 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
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# bert-large-uncased-semeval2014
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the
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## Model description
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tags:
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- generated_from_trainer
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datasets:
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- Yaxin/SemEval2014Task4Raw
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metrics:
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- accuracy
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model-index:
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- name: bert-large-uncased-semeval2014
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results:
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- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: Yaxin/SemEval2014Task4Raw All
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type: Yaxin/SemEval2014Task4Raw
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config: All
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split: validation
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args: All
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7397590361445783
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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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# bert-large-uncased-semeval2014
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the Yaxin/SemEval2014Task4Raw All dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1227
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- Accuracy: 0.7398
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## Model description
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