End of training
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- model.safetensors +1 -1
- 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.
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----
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| 0.
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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: 1.3230
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- Accuracy: 0.9523
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- 1-f1: 0.0
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- 1-recall: 0.0
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- 1-precision: 0.0
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- Balanced Acc: 0.5
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## Model description
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### Training results
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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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| 0.0128 | 1.0 | 3484 | 0.9344 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.9515 | 2.0 | 6968 | 0.8225 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.6456 | 3.0 | 10452 | 0.8839 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.053 | 4.0 | 13936 | 0.9211 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.5498 | 5.0 | 17420 | 0.9413 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.218 | 6.0 | 20904 | 0.8088 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 1.9402 | 7.0 | 24388 | 1.1587 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.6771 | 8.0 | 27872 | 1.2072 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.6533 | 9.0 | 31356 | 1.4121 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.8778 | 10.0 | 34840 | 1.2411 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.4423 | 11.0 | 38324 | 1.3230 | 0.9523 | 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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