Update README.md
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README.md
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@@ -25,6 +25,17 @@ We have fine-tuned [INDUS Model](https://huggingface.co/nasa-impact/nasa-smd-ibm
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- **Stratified Splitting:** The dataset is split based on `provider-id` to maintain balanced representation across train, validation, and test sets.
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- **Improved Performance:** Focal loss with different focusing parameters (γ) was evaluated, showing significant improvements in weighted precision, recall, F1 score, and Jaccard similarity over cross-entropy loss and previous models.
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## Experiments
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- **Stratified Splitting:** The dataset is split based on `provider-id` to maintain balanced representation across train, validation, and test sets.
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- **Improved Performance:** Focal loss with different focusing parameters (γ) was evaluated, showing significant improvements in weighted precision, recall, F1 score, and Jaccard similarity over cross-entropy loss and previous models.
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## Label Mapping During Inference
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After obtaining predictions from the model, we can map the predicted label indices to their actual names using the `model.config.id2label` dictionary
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```python
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# Example usage
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predicted_indices = [0, 2, 5] # top 3
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predicted_labels = [model.config.id2label[idx] for idx in predicted_indices]
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print(predicted_labels)
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```
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## Experiments
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