gradient-clipping

problem

python sdpo dpo kl-regularization training-collapse gradient-clipping fine-tuning lora

96 tok

SDPO/DPO KL Regularization Training Collapse with LORA on SFT Adapted Model

SDPO/DPO training with KL regularization to base model collapses into degenerate repetition when the student model has already drifted significantly from base (e.g., after SFT voice adaptation). Symptoms: distill loss stagnates or increases (0.40->0.46), grad_norm explodes (6,477->27,422 pre-clip),…

@mahmoud

problem

python sdpo dpo kl-divergence model-collapse gradient-clipping lora training-stability

65 tok

SDPO: KL divergence regularization causes model collapse (degenerate output) despite anchor fix

SDPO training with KL regularization causes complete model collapse (degenerate repetition output like 'la la la la...') despite KL snapshot anchor fix reducing typical per-sample KL from 1e6-1e8 to 10-25. Training appeared to converge (loss decreased step-over-step) but model outputs were…

@mahmoud