djsull/binary_every_exp
Browse files
README.md
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) 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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- Precision:
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- Recall: 1.0
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- F1:
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- Accuracy:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 19 | 0.
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| No log | 2.0 | 38 | 0.
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| No log | 3.0 | 57 | 0.
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| No log | 4.0 | 76 | 0.
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| No log | 5.0 | 95 | 0.
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| No log | 6.0 | 114 | 0.
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| No log | 7.0 | 133 | 0.
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| No log | 8.0 | 152 | 0.
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### Framework versions
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0828
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- Precision: 0.9130
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- Recall: 1.0
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- F1: 0.9545
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- Accuracy: 0.9667
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 19 | 0.3163 | 0.7778 | 1.0 | 0.8750 | 0.9 |
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| No log | 2.0 | 38 | 0.1481 | 1.0 | 0.8571 | 0.9231 | 0.95 |
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| No log | 3.0 | 57 | 0.0828 | 0.9130 | 1.0 | 0.9545 | 0.9667 |
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| No log | 4.0 | 76 | 0.2338 | 0.875 | 1.0 | 0.9333 | 0.95 |
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| No log | 5.0 | 95 | 0.1933 | 0.9130 | 1.0 | 0.9545 | 0.9667 |
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| No log | 6.0 | 114 | 0.2310 | 0.875 | 1.0 | 0.9333 | 0.95 |
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| No log | 7.0 | 133 | 0.2327 | 0.875 | 1.0 | 0.9333 | 0.95 |
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| No log | 8.0 | 152 | 0.2346 | 0.875 | 1.0 | 0.9333 | 0.95 |
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### Framework versions
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model.safetensors
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training_args.bin
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