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Mukesh97/severity-classification

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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2546
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- - Accuracy: 0.9178
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- - F1 Macro: 0.9182
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 1.0472 | 1.0 | 95 | 0.7069 | 0.7586 | 0.7333 |
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- | 0.3394 | 2.0 | 190 | 0.3109 | 0.8939 | 0.8929 |
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- | 0.1783 | 3.0 | 285 | 0.2663 | 0.8992 | 0.8983 |
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- | 0.0668 | 4.0 | 380 | 0.2634 | 0.9098 | 0.9102 |
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- | 0.0748 | 5.0 | 475 | 0.2546 | 0.9178 | 0.9182 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2429
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+ - Accuracy: 0.9151
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+ - F1 Macro: 0.9154
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 1.0321 | 1.0 | 95 | 0.6955 | 0.8117 | 0.8053 |
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+ | 0.2911 | 2.0 | 190 | 0.2814 | 0.9072 | 0.907 |
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+ | 0.1628 | 3.0 | 285 | 0.2736 | 0.8939 | 0.8928 |
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+ | 0.0522 | 4.0 | 380 | 0.2305 | 0.9151 | 0.916 |
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+ | 0.0623 | 5.0 | 475 | 0.2429 | 0.9151 | 0.9154 |
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  ### Framework versions
model.safetensors CHANGED
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