End of training
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README.md
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.2697 | 7.0 | 1750 | 1.9963 | 0.221 | 0.1982 | 0.221 | 0.2013 |
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### Framework versions
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8941
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- Accuracy: 0.273
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- Precision: 0.2486
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- Recall: 0.273
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- F1: 0.2532
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 2.4866 | 1.0 | 250 | 2.5436 | 0.355 | 0.1460 | 0.355 | 0.2036 |
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| 1.9145 | 2.0 | 500 | 2.0555 | 0.369 | 0.2437 | 0.369 | 0.2406 |
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| 1.849 | 3.0 | 750 | 1.8421 | 0.321 | 0.2862 | 0.321 | 0.2949 |
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| 1.4025 | 4.0 | 1000 | 1.7678 | 0.325 | 0.2950 | 0.325 | 0.2957 |
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| 1.311 | 5.0 | 1250 | 1.8007 | 0.312 | 0.2654 | 0.312 | 0.2743 |
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| 1.2112 | 6.0 | 1500 | 1.8941 | 0.273 | 0.2486 | 0.273 | 0.2532 |
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### Framework versions
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model.safetensors
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