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@@ -5,14 +5,23 @@ tags:
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  model-index:
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  - name: roberta-base-finetuned-WikiNeural
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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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- should probably proofread and complete it, then remove this comment. -->
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  # roberta-base-finetuned-WikiNeural
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0871
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  - Loc: {'precision': 0.9276567437219359, 'recall': 0.9366918555835433, 'f1': 0.9321524064171123, 'number': 5955}
@@ -62,4 +71,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.28.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.0
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: roberta-base-finetuned-WikiNeural
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  results: []
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+ datasets:
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+ - Babelscape/wikineural
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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+ pipeline_tag: token-classification
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  ---
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  # roberta-base-finetuned-WikiNeural
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base).
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0871
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  - Loc: {'precision': 0.9276567437219359, 'recall': 0.9366918555835433, 'f1': 0.9321524064171123, 'number': 5955}
 
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  - Transformers 4.28.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.0
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+ - Tokenizers 0.13.3