monitor: 开环指标两张图；pstate: train 归档加 review_*

2026-10-19 02:33:46 +08:00
parent 0653cf0d8d
commit 1f2f2a2bb1
2 changed files with 13 additions and 2 deletions
@@ -47,7 +47,8 @@ PARAM_KEYS = list(AFFECTS)
 PRODUCTS = {
    'r4': ['ml/runs/r4', 'ml/runs/r4.json'], 'gate1': ['ml/data/consistency.json'],
    'gen': ['ml/data/shard_*', 'ml/data/log_*', 'ml/data/stats.json'], 'prep': ['ml/data/samples', 'ml/data/r2.json'],
-    'train': ['ml/runs/base', 'ml/runs/wta', 'ml/runs/small', 'ml/runs/bench_*', 'ml/runs/replay_teacher.json'],
+    'train': ['ml/runs/base', 'ml/runs/wta', 'ml/runs/small', 'ml/runs/bench_*', 'ml/runs/replay_teacher.json',
+              'ml/runs/review_*'],   # 评审快照包（_review_pack.py 从 base 打的，内含 log.jsonl 会被监控页当成一条"预训练"运行）；重做 train 时一并归档
    'dagger': ['ml/runs/*_dag[0-9]*', 'ml/runs/*_dagger.ckpt', 'ml/data/dag_*', 'ml/data/samples_dag_*'],
    'm5': ['ml/runs/m5_*', 'ml/runs/selected_ckpt'], 'apg': ['ml/runs/apg', 'ml/runs/current.pt'],
    'mine': ['ml/runs/mine', 'ml/runs/apg_r*', 'ml/data/e2', 'ml/data/samples_e2'],