End of training
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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.
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0619
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- Precision: 0.9247
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- Recall: 0.9346
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- F1: 0.9296
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- Accuracy: 0.9832
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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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| 0.2478 | 1.0 | 878 | 0.0690 | 0.9086 | 0.9195 | 0.9140 | 0.9804 |
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| 0.0515 | 2.0 | 1756 | 0.0597 | 0.9229 | 0.9327 | 0.9278 | 0.9828 |
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| 0.0305 | 3.0 | 2634 | 0.0619 | 0.9247 | 0.9346 | 0.9296 | 0.9832 |
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### Framework versions
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model.safetensors
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