auxiliary-loss

problem

python sdpo auxiliary-loss style-transfer mmd distillation training

130 tok

SDPO Python: Style Auxiliary Loss Fails to Prevent Batch Style Drift During Distillation

Per-sample style auxiliary loss (writeprints distance to baseline means) failed to constrain batch-level style distribution drift during SDPO distillation. With mmd_aux_weight=0.05, the aux contribution was ~0.024 vs distill_loss ~0.04-0.16, making it only 15% of total loss. The trained model's…

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