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# i-be-snek/distilbert-base-uncased-finetuned-ner-exp_A
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0163
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- Validation Loss: 0.1024
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- Train Precision: 0.8763
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- Train Accuracy: 0.9750
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- Epoch: 2
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## Model description
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More information needed
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# i-be-snek/distilbert-base-uncased-finetuned-ner-exp_A
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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 all named entities in [Babelscape/multinerd](https://huggingface.co/datasets/Babelscape/multinerd) dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0163
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- Validation Loss: 0.1024
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- Train Precision: 0.8763
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- Train Accuracy: 0.9750
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- Epoch: 2
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All scripts for training can be found in this [GitHub repository](https://github.com/i-be-snek/rise-assignment-ner-finetune).
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## Model description
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More information needed
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