AFD OpenVid Student LR Sweep

Self-Forcing 1.3B student LoRA checkpoints trained for 300 optimizer steps with a frozen OpenVid-warmup VideoReward discriminator.

  • Student learning rates: 5e-6, 1e-5, 5e-5
  • Checkpoints: 60, 120, 180, 240, 300
  • Generator LoRA: r=256, alpha=256
  • Discriminator learning rate: 0 (frozen)
  • Teacher data: 200 deterministic OpenVid-1M samples, seed 42, at least 81 frames and 3–8 seconds

Only the active default student adapter is included. The training-only old adapter, discriminator, optimizer, and rank states are excluded.

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