djsull/aha_class_v1
Browse files- README.md +12 -14
- model.safetensors +1 -1
- runs/Oct01_07-49-18_129-146-79-76/events.out.tfevents.1727768959.129-146-79-76.1534557.4 +3 -0
- runs/Oct01_07-55-35_129-146-79-76/events.out.tfevents.1727769335.129-146-79-76.3468657.0 +3 -0
- runs/Oct01_07-55-35_129-146-79-76/events.out.tfevents.1727769511.129-146-79-76.3468657.1 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) 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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- F1:
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- Roc Auc:
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- Accuracy:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 | 245 | 0.0041 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 280 | 0.0040 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0464
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- F1: 0.99
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- Roc Auc: 0.99
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- Accuracy: 0.99
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| No log | 1.0 | 36 | 0.1850 | 0.9500 | 0.95 | 0.95 |
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| No log | 2.0 | 72 | 0.1223 | 0.96 | 0.96 | 0.96 |
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| No log | 3.0 | 108 | 0.0464 | 0.99 | 0.99 | 0.99 |
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| No log | 4.0 | 144 | 0.0509 | 0.99 | 0.99 | 0.99 |
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| No log | 5.0 | 180 | 0.0855 | 0.98 | 0.98 | 0.98 |
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| No log | 6.0 | 216 | 0.0898 | 0.98 | 0.98 | 0.98 |
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### Framework versions
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model.safetensors
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