Distillation v1#18
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# Conflicts: # inference_and_eval/musique_inference_with_db.py # setup_db.sh # src/wikontic/utils/openai_utils.py
…around for trl reading wrong encoding on windows machine
…xtraction function
…xtraction function
# Conflicts: # inference_and_eval/hotpot_inference_with_db.py # inference_and_eval/mine_inference.py
screemix
approved these changes
May 6, 2026
Small analysis notebook. Training now has a curriculum scheduler on triplets and loss down-weighting for "instance of".
Overall full-match F1 0.55
…, trained longer for 5 epochs Added cosine scheduler and enabled relation weighting (besides instance_of) As a result full-match F1 pushed from 0.55 to 0.656
…y overlapping; Picked a separate test set from data; Full match F1 went back down to 0.557 Added how_to_run instruction
…ts with focal loss Increased lora_r to 32 from 16, added gate_proj, up_proj, down_proj to LoRA targets
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Initial working version of distillation pipeline with severe quality issues