reports/streaming_routed_micro_train.json

{
  "ok": true,
  "block_path": "model.layers.23.feed_forward",
  "steps": 20,
  "tokens_per_step": 32,
  "losses": [
    9.900287348559246e-05,
    0.00010116377609759389,
    9.931136605700885e-05,
    9.965168237613398e-05,
    0.00010067169409921917,
    0.00010007795795137363,
    0.00010126892049165983,
    9.943073054009508e-05,
    9.974279373636818e-05,
    9.954600585236525e-05,
    9.972891484721913e-05,
    0.00010003568463763523,
    9.982818476695181e-05,
    0.0001001158632334409,
    9.992670165956952e-05,
    0.00010018098305408785,
    0.00010162905410623117,
    0.00010003730676544365,
    0.00010062710756638779,
    0.00010001521619532497
  ],
  "changed_total": 35189712,
  "touched_projection_count": 96,
  "peak_memory_gb": 0.68546618,
  "note": "Route-aware micro trainer updates only selected experts, but uses synthetic local loss rather than LM loss."
}