djsull/aha_classification
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README.md
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This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-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: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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## Model description
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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 | 42 | 0.
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| No log | 2.0 | 84 | 0.
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| No log | 3.0 | 126 | 0.
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| No log | 4.0 | 168 | 0.
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| No log | 5.0 | 210 | 0.
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| No log | 6.0 | 252 | 0.
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| No log | 7.0 | 294 | 0.1098 | 0.
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| No log | 8.0 | 336 | 0.
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| No log | 9.0 | 378 | 0.
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| No log | 10.0 | 420 | 0.1051 | 0.9664 | 0.9743 | 0.9565 |
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### Framework versions
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This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1156
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- F1: 0.9617
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- Roc Auc: 0.9682
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- Accuracy: 0.9478
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## Model description
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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 | 42 | 0.3257 | 0.8718 | 0.8998 | 0.8522 |
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| No log | 2.0 | 84 | 0.1861 | 0.9451 | 0.9573 | 0.9217 |
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| No log | 3.0 | 126 | 0.1474 | 0.9492 | 0.9595 | 0.9304 |
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| No log | 4.0 | 168 | 0.1156 | 0.9617 | 0.9682 | 0.9478 |
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| No log | 5.0 | 210 | 0.1185 | 0.9536 | 0.9637 | 0.9391 |
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| No log | 6.0 | 252 | 0.1133 | 0.9492 | 0.9595 | 0.9304 |
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| No log | 7.0 | 294 | 0.1098 | 0.9580 | 0.9679 | 0.9391 |
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| No log | 8.0 | 336 | 0.1084 | 0.9536 | 0.9637 | 0.9391 |
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| No log | 9.0 | 378 | 0.1167 | 0.9536 | 0.9637 | 0.9391 |
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### Framework versions
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model.safetensors
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training_args.bin
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