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README.md
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model-index:
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- name: ibert-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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# ibert-roberta-base-finetuned-WikiNeural
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This model is a fine-tuned version of [kssteven/ibert-roberta-base](https://huggingface.co/kssteven/ibert-roberta-base)
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It achieves the following results on the evaluation set:
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- Loss: 0.0878
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- Loc: {'precision': 0.9249338624338624, 'recall': 0.9393786733837112, 'f1': 0.9321003082562693, '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
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model-index:
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- name: ibert-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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- recall
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- precision
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pipeline_tag: token-classification
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---
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# ibert-roberta-base-finetuned-WikiNeural
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This model is a fine-tuned version of [kssteven/ibert-roberta-base](https://huggingface.co/kssteven/ibert-roberta-base).
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It achieves the following results on the evaluation set:
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- Loss: 0.0878
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- Loc: {'precision': 0.9249338624338624, 'recall': 0.9393786733837112, 'f1': 0.9321003082562693, '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
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