End of training
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README.md
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This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-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-base-NER](https://huggingface.co/dslim/bert-base-NER) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0019
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- Precision: 0.7429
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- Recall: 0.7192
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- F1: 0.7309
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- Accuracy: 0.9995
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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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| 0.0023 | 1.0 | 724 | 0.0033 | 0.6791 | 0.4589 | 0.5477 | 0.9992 |
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| 0.0014 | 2.0 | 1448 | 0.0021 | 0.7218 | 0.6575 | 0.6882 | 0.9994 |
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| 0.001 | 3.0 | 2172 | 0.0019 | 0.7429 | 0.7192 | 0.7309 | 0.9995 |
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### Framework versions
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runs/Feb13_20-10-48_b85793d3c581/events.out.tfevents.1707855069.b85793d3c581.34.0
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size
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version https://git-lfs.github.com/spec/v1
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size 23798
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