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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown 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: 0.9574
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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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| No log | 1.0 | 151 | 0.
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| No log | 2.0 | 302 | 0.
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| No log | 3.0 | 453 | 0.
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1014
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- Precision: 0.9609
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- Recall: 0.9574
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- F1: 0.9591
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- Accuracy: 0.9732
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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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| No log | 1.0 | 151 | 0.1848 | 0.9060 | 0.9184 | 0.9122 | 0.9490 |
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| No log | 2.0 | 302 | 0.1137 | 0.9548 | 0.9529 | 0.9538 | 0.9705 |
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| No log | 3.0 | 453 | 0.1014 | 0.9609 | 0.9574 | 0.9591 | 0.9732 |
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### Framework versions
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