End of training
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README.md
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) 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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### Framework versions
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5496
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- Accuracy: 0.8505
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- F1: 0.8971
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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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| 0.6112 | 0.2174 | 50 | 0.6030 | 0.7328 | 0.8078 |
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| 0.525 | 0.4348 | 100 | 0.4881 | 0.7525 | 0.8399 |
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| 0.5386 | 0.6522 | 150 | 0.5263 | 0.7794 | 0.8544 |
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| 0.4511 | 0.8696 | 200 | 0.5176 | 0.8137 | 0.875 |
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| 0.2806 | 1.0870 | 250 | 0.4302 | 0.8088 | 0.8660 |
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| 0.3622 | 1.3043 | 300 | 0.4826 | 0.8309 | 0.8816 |
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| 0.2892 | 1.5217 | 350 | 0.3882 | 0.8358 | 0.8793 |
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| 0.2732 | 1.7391 | 400 | 0.4186 | 0.8309 | 0.8856 |
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| 0.3847 | 1.9565 | 450 | 0.3501 | 0.8431 | 0.8865 |
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| 0.1997 | 2.1739 | 500 | 0.5521 | 0.8627 | 0.9060 |
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| 0.162 | 2.3913 | 550 | 0.6342 | 0.8407 | 0.8926 |
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| 0.1125 | 2.6087 | 600 | 0.5181 | 0.8578 | 0.9020 |
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| 0.1388 | 2.8261 | 650 | 0.5496 | 0.8505 | 0.8971 |
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### Framework versions
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model.safetensors
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training_args.bin
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