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:
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- Accuracy: 0.9607
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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: 1.0131
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- Accuracy: 0.9607
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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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| 0.4663 | 1.0 | 77 | 0.5479 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0127 | 2.0 | 154 | 0.8689 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.6123 | 3.0 | 231 | 0.6678 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0275 | 4.0 | 308 | 0.9083 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0311 | 5.0 | 385 | 0.9164 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0232 | 6.0 | 462 | 1.0131 | 0.9607 | 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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