End of training
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README.md
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This model is a fine-tuned version of [nlpie/distil-clinicalbert](https://huggingface.co/nlpie/distil-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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| 1.3854 | 7.0 | 1750 | 1.9496 | 0.226 | 0.2021 | 0.226 | 0.2058 |
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### Framework versions
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This model is a fine-tuned version of [nlpie/distil-clinicalbert](https://huggingface.co/nlpie/distil-clinicalbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8719
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- Accuracy: 0.266
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- Precision: 0.2357
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- Recall: 0.266
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- F1: 0.2427
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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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| 2.5512 | 1.0 | 250 | 2.6302 | 0.335 | 0.1402 | 0.335 | 0.1911 |
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| 2.0609 | 2.0 | 500 | 2.1857 | 0.357 | 0.2240 | 0.357 | 0.2474 |
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| 1.9056 | 3.0 | 750 | 1.8964 | 0.321 | 0.2773 | 0.321 | 0.2812 |
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| 1.5646 | 4.0 | 1000 | 1.8117 | 0.323 | 0.3183 | 0.323 | 0.2949 |
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| 1.3789 | 5.0 | 1250 | 1.8869 | 0.302 | 0.2643 | 0.302 | 0.2701 |
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| 1.3189 | 6.0 | 1500 | 1.8719 | 0.266 | 0.2357 | 0.266 | 0.2427 |
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### Framework versions
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model.safetensors
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