End of training
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- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None 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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- 1-f1: 0.
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- 1-recall: 0.
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- 1-precision: 0.
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- Balanced Acc: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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### Framework versions
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This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8732
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- Accuracy: 0.3254
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- 1-f1: 0.1163
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- 1-recall: 0.6
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- 1-precision: 0.0644
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- Balanced Acc: 0.4518
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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| 0.8611 | 1.0 | 85 | 0.7354 | 0.0917 | 0.1401 | 1.0 | 0.0753 | 0.5096 |
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| 0.7404 | 2.0 | 170 | 0.8947 | 0.0799 | 0.1385 | 1.0 | 0.0744 | 0.5032 |
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| 0.7009 | 3.0 | 255 | 0.6590 | 0.2337 | 0.1618 | 1.0 | 0.0880 | 0.5863 |
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| 0.4348 | 4.0 | 340 | 0.7461 | 0.2101 | 0.1577 | 1.0 | 0.0856 | 0.5735 |
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| 0.8032 | 5.0 | 425 | 0.8210 | 0.2515 | 0.1538 | 0.92 | 0.0839 | 0.5590 |
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| 0.4858 | 6.0 | 510 | 0.7814 | 0.2692 | 0.1453 | 0.84 | 0.0795 | 0.5318 |
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| 0.6308 | 7.0 | 595 | 0.9987 | 0.0740 | 0.1377 | 1.0 | 0.0740 | 0.5 |
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| 0.8048 | 8.0 | 680 | 0.8732 | 0.3254 | 0.1163 | 0.6 | 0.0644 | 0.4518 |
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### Framework versions
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model.safetensors
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training_args.bin
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