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CHOOSEAI infra

Jev-based Model Distillation for Classification

This project uses Jev to obtain traces from classification benchmarks and then applies JSD (distillation) to fine-tune a backbone model, aiming to match Jev's performance in accuracy and calibration.

Did a lot of experiments: So take benchmarks like clinic10, bank77 and others used in these classification tasks; use Jev by @typesafeai to get traces; then use JSD (distillation) to make ur Bert or any other strong backbone model fine-tuned on After this, it will be very close to Jev's own performance, whether on accuracy or on calibration :)