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README.md
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model-index:
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- name: bert-base-cased-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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# bert-base-cased-finetuned-WikiNeural
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased)
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It achieves the following results on the evaluation set:
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- Loss: 0.0881
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- Loc: {'precision': 0.9282034236330398, 'recall': 0.9378673383711167, 'f1': 0.9330103575008353, 'number': 5955}
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- Transformers 4.28.1
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- Pytorch 2.0.0
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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model-index:
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- name: bert-base-cased-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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- recall
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- precision
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pipeline_tag: token-classification
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---
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# bert-base-cased-finetuned-WikiNeural
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased).
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It achieves the following results on the evaluation set:
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- Loss: 0.0881
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- Loc: {'precision': 0.9282034236330398, 'recall': 0.9378673383711167, 'f1': 0.9330103575008353, 'number': 5955}
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- Transformers 4.28.1
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- Pytorch 2.0.0
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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