Training complete
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README.md
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This model is a fine-tuned version of [dslim/bert-large-NER](https://huggingface.co/dslim/bert-large-NER) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [dslim/bert-large-NER](https://huggingface.co/dslim/bert-large-NER) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1966
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- Precision: 0.6438
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- Recall: 0.6483
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- F1: 0.6460
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- Accuracy: 0.9478
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.4628 | 1.0 | 551 | 0.2481 | 0.5940 | 0.5448 | 0.5683 | 0.9326 |
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| 0.2106 | 2.0 | 1102 | 0.1833 | 0.6486 | 0.6621 | 0.6553 | 0.9433 |
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| 0.1434 | 3.0 | 1653 | 0.1966 | 0.6438 | 0.6483 | 0.6460 | 0.9478 |
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### Framework versions
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