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Upload ESG Topic Classifier (Macro-F1: 0.7070)

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  1. README.md +4 -0
README.md CHANGED
@@ -113,6 +113,8 @@ with torch.no_grad():
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  print("Prediction:", model.config.id2label[pred_id])
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  print("Confidence:", float(probs[0, pred_id]))
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  ## Limitations
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  Trained specifically on Vietnamese banking reports
@@ -123,6 +125,8 @@ Some ambiguity exists between Policy, Environmental, and Financing categories du
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  Minority classes (E, Policy) have fewer samples than Non-ESG and Governance
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  ## Citation
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  If you use this model, please cite:
 
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  print("Prediction:", model.config.id2label[pred_id])
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  print("Confidence:", float(probs[0, pred_id]))
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+ ---
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+
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  ## Limitations
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  Trained specifically on Vietnamese banking reports
 
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  Minority classes (E, Policy) have fewer samples than Non-ESG and Governance
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+ ---
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+
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  ## Citation
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  If you use this model, please cite: