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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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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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 | 327 | 0.
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| 0.
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| 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: 0.1575
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9556
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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 | 327 | 0.1507 | 0.0 | 0.0 | 0.0 | 0.9500 |
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| 0.1874 | 2.0 | 654 | 0.1427 | 0.0 | 0.0 | 0.0 | 0.9557 |
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| 0.1874 | 3.0 | 981 | 0.1575 | 0.0 | 0.0 | 0.0 | 0.9556 |
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### Framework versions
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model.safetensors
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