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souvik-nlp
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DualMedBert

Text Classification
Safetensors
English
dualmedbert
medical
knowledge-distillation
lora
drug-reviews
disease-classification
biomedical
custom_code
Model card Files
xet
 Community
DualMedBert

Commit History

  1. Add goals, usecases, and limitations to model card

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    fb9d3e1

  2. Fix all_tied_weights_keys bug for newer transformers

    souvik-nlp
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    3ad1e6d

  3. Cleanup: remove redundant weights, teacher folders, and move label map to config.json

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    b07dcd3

  4. Add standard model.safetensors so AutoModel can load directly

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    24aaaa6

  5. Add modeling_dualmedbert.py for custom architecture

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    27b6555

  6. Add configuration_dualmedbert.py for custom architecture

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    32199f2

  7. Add auto_map and dualmedbert config keys

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    5680a5a

  8. security: add student_weights.safetensors (safe replacement for pickle-based .pt)

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    d9a798b

  9. security: delete temperature_scaler.joblib (PAIT-PKI-100 pickle exploit risk)

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    1963b4b

  10. security: add safe JSON version of temperature scaler (T=0.9096)

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    58dc2e0

  11. Update README: accurate metrics from config.json, testing phase notice, full repo docs

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    7400b4a

  1. Delete tokenizer

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    9d6357b

  2. Delete xgb_calibrator.pkl

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    8c011b6

  3. Delete student_custom_model.pth

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  4. Add plot: fig_shap_importance.png

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  5. Add plot: fig6_loss_decomposition.png

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  6. Add plot: fig5_calibrator_analysis.png

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    f939510

  7. Add plot: fig4_confusion_matrix.png

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  8. Add plot: fig3_per_class_f1.png

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    439908d

  9. Add plot: fig2_model_comparison.png

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    fee2887

  10. Add plot: fig1_kd_training_dynamics.png

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    e2cd09b

  11. Upload temperature_scaler.joblib

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    37ce910

  12. Upload xgb_calibrator.json

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    59dc1ad

  13. Upload student_custom_model.pth

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  14. DualMedBert upload | F1=0.8432 AUROC=0.8847 lat=11.1ms

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    d1e8397

  1. Upload temperature_scaler.joblib

    souvik-nlp
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    2a224e9

  2. Upload xgb_calibrator.json

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    32f546c

  3. Upload student_custom_model.pth

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    7051fd7

  4. Add plot: fig_shap_importance.png

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    397c4fb

  5. Add plot: fig6_loss_decomposition.png

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    ffbd3aa

  6. Add plot: fig5_calibrator_analysis.png

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    98838b2

  7. Add plot: fig4_confusion_matrix.png

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    dc8bb84

  8. Add plot: fig3_per_class_f1.png

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    39e62b1

  9. Add plot: fig2_model_comparison.png

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    5ad138e

  10. Add plot: fig1_kd_training_dynamics.png

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    2cd0a35

  11. Upload temperature_scaler.joblib

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    6cc3ee1

  12. Upload xgb_calibrator.json

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    6496994

  13. Upload student_custom_model.pth

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    3777bcc

  14. Add DistilBERT tokenizer

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    12c73a5

  15. Add plot: fig_shap_importance.png

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    ecfdd73

  16. Add plot: fig6_loss_decomposition.png

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    40cc0a4

  17. Add plot: fig5_calibrator_analysis.png

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    92d4e5a

  18. Add plot: fig4_confusion_matrix.png

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    7d02143

  19. Add plot: fig3_per_class_f1.png

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    9ab42e7

  20. Add plot: fig2_model_comparison.png

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  21. Add plot: fig1_kd_training_dynamics.png

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    9af9770

  22. DualMedBert upload | F1=0.8301 AUROC=0.8943 lat=11.1ms

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    d988df1

  23. Add plot: fig_shap_importance.png

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    520afc4

  24. Add plot: fig5_calibrator_analysis.png

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    8331291

  25. Add plot: fig2_model_comparison.png

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    7ab9bef