End of training
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README.md
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This model is a fine-tuned version of [manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds](https://huggingface.co/manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds) on the None 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: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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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 | 280 | 0.
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### Framework versions
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This model is a fine-tuned version of [manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds](https://huggingface.co/manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3148
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- Precision: 0.8725
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- Recall: 0.9022
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- F1: 0.8871
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- Accuracy: 0.9419
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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 | 280 | 0.3056 | 0.7819 | 0.8444 | 0.8120 | 0.9198 |
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| 0.4846 | 2.0 | 560 | 0.2545 | 0.8126 | 0.88 | 0.8450 | 0.9360 |
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| 0.4846 | 3.0 | 840 | 0.2269 | 0.8671 | 0.8889 | 0.8778 | 0.9414 |
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| 0.1366 | 4.0 | 1120 | 0.2519 | 0.8225 | 0.8993 | 0.8592 | 0.9372 |
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| 0.1366 | 5.0 | 1400 | 0.2449 | 0.8472 | 0.9037 | 0.8746 | 0.9445 |
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| 0.0788 | 6.0 | 1680 | 0.2839 | 0.8725 | 0.9022 | 0.8871 | 0.9419 |
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| 0.0788 | 7.0 | 1960 | 0.2849 | 0.8631 | 0.8963 | 0.8794 | 0.9386 |
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| 0.0441 | 8.0 | 2240 | 0.2987 | 0.8736 | 0.9007 | 0.8869 | 0.9397 |
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| 0.0335 | 9.0 | 2520 | 0.3192 | 0.8602 | 0.9022 | 0.8807 | 0.9377 |
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| 0.0335 | 10.0 | 2800 | 0.3094 | 0.8734 | 0.8993 | 0.8861 | 0.9414 |
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| 0.0242 | 11.0 | 3080 | 0.3233 | 0.8748 | 0.9007 | 0.8876 | 0.9383 |
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| 0.0242 | 12.0 | 3360 | 0.3215 | 0.8764 | 0.9037 | 0.8899 | 0.9417 |
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| 0.0189 | 13.0 | 3640 | 0.3155 | 0.8684 | 0.8993 | 0.8836 | 0.9405 |
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| 0.0189 | 14.0 | 3920 | 0.3156 | 0.8725 | 0.9022 | 0.8871 | 0.9425 |
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| 0.0172 | 15.0 | 4200 | 0.3148 | 0.8725 | 0.9022 | 0.8871 | 0.9419 |
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### Framework versions
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model.safetensors
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runs/Jun01_13-45-54_81a51b62e932/events.out.tfevents.1717249555.81a51b62e932.11692.0
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