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ClinicalBERT-medical-text-classification

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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  1. README.md +11 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0223
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- - Accuracy: 0.273
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- - Precision: 0.2079
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- - Recall: 0.273
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- - F1: 0.2270
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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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- | 2.5449 | 1.0 | 250 | 2.5124 | 0.377 | 0.1879 | 0.377 | 0.2437 |
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- | 2.0748 | 2.0 | 500 | 2.0375 | 0.372 | 0.3107 | 0.372 | 0.2994 |
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- | 1.766 | 3.0 | 750 | 1.8367 | 0.351 | 0.3350 | 0.351 | 0.3148 |
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- | 1.6599 | 4.0 | 1000 | 1.8015 | 0.303 | 0.2597 | 0.303 | 0.2703 |
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- | 1.4441 | 5.0 | 1250 | 1.9012 | 0.308 | 0.2483 | 0.308 | 0.2634 |
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- | 1.4366 | 6.0 | 1500 | 1.9159 | 0.253 | 0.2412 | 0.253 | 0.2390 |
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- | 1.1871 | 7.0 | 1750 | 2.0223 | 0.273 | 0.2079 | 0.273 | 0.2270 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8610
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+ - Accuracy: 0.235
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+ - Precision: 0.2005
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+ - Recall: 0.235
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+ - F1: 0.2115
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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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+ | 2.6094 | 1.0 | 250 | 2.4951 | 0.353 | 0.1617 | 0.353 | 0.2001 |
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+ | 2.2177 | 2.0 | 500 | 1.9842 | 0.359 | 0.2967 | 0.359 | 0.2843 |
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+ | 1.8458 | 3.0 | 750 | 1.8258 | 0.345 | 0.2843 | 0.345 | 0.2893 |
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+ | 1.6992 | 4.0 | 1000 | 1.8139 | 0.302 | 0.2616 | 0.302 | 0.2729 |
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+ | 1.4773 | 5.0 | 1250 | 1.8341 | 0.265 | 0.2458 | 0.265 | 0.2482 |
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+ | 1.3138 | 6.0 | 1500 | 1.8610 | 0.235 | 0.2005 | 0.235 | 0.2115 |
 
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  ### Framework versions
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