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: 0.9498
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- 1-f1: 0.0
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- 1-recall: 0.0
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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: 0.7803
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- Accuracy: 0.9498
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- 1-f1: 0.0
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- 1-recall: 0.0
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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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| 0.2624 | 1.0 | 130 | 0.5929 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0352 | 2.0 | 260 | 0.7379 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.949 | 3.0 | 390 | 0.6221 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.7944 | 4.0 | 520 | 0.9258 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 2.0226 | 5.0 | 650 | 0.7104 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0582 | 6.0 | 780 | 0.7803 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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### Framework versions
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model.safetensors
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training_args.bin
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