End of training
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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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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 230 | 0.
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| No log | 2.0 | 460 | 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: 0.4042
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- Accuracy: 0.8676
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- F1: 0.9078
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 230 | 0.3894 | 0.8309 | 0.8836 |
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| No log | 2.0 | 460 | 0.3511 | 0.8505 | 0.8964 |
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| 0.4061 | 3.0 | 690 | 0.4042 | 0.8676 | 0.9078 |
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### Framework versions
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