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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the English subset of the NER [Babelscape/multinerd](https://huggingface.co/datasets/Babelscape/multinerd) dataset.
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It achieves the following results on the
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- Train Loss: 0.0084
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- Validation Loss: 0.0587
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- Train Precision: 0.9185
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the English subset of the NER [Babelscape/multinerd](https://huggingface.co/datasets/Babelscape/multinerd) dataset.
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It achieves the following results on the validation set:
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- Train Loss: 0.0084
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- Validation Loss: 0.0587
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- Train Precision: 0.9185
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