Log Experiment

Steps

1. Check for existing entry

Search .agents/memory/experiment-journal/README.md for an entry with the same name. If found, update it instead of creating a duplicate.

2. Format the entry

## [YYYY-MM-DD] Experiment: <name>
- **Hypothesis**: <hypothesis or "N/A">
- **Config**: model=<model>, lr=<lr>, sp_size=<sp>, gpus=<n>, script=<script>
- **W&B run**: <wandb_run or "pending">
- **Duration**: <duration or "in progress">
- **Key metrics**: loss=<loss>, step_time=<step_time>, grad_norm=<grad_norm>
- **Checkpoint**: <checkpoint or "N/A">
- **Insight**: <insight or "pending">
- **Status**: <status>
- **Related lessons**: <lessons or "none">

3. Insert at the top of the journal

New entries go at the top of the file (after the header), so the most recent experiments are always visible first.

4. Warn on duplicates

If a similar experiment name exists with status: completed, warn that this may be a repeat. If it's status: running, assume this is an update.

Outputs

• Updated .agents/memory/experiment-journal/README.md.

Example Usage

Log a completed experiment:

  name: wan-t2v-finetune-lr5e5-sp4
  config: model=wan-t2v-1.3B, lr=5e-5, sp_size=4, gpus=4
  wandb_run: fastvideo/training/run_abc123
  duration: 2h 15m
  metrics: {loss: 0.065, step_time: 2.3, grad_norm: 0.35}
  checkpoint: outputs/wan_finetune/checkpoint-1000
  insight: LR 5e-5 converges 30% faster than 1e-5 with no quality loss
  status: completed

References

• .agents/memory/experiment-journal/README.md — journal file
• .agents/workflows/experiment-lifecycle.md — when to log

Changelog