File size: 4,141 Bytes
e378262
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
{
  "schema_version": 1,
  "status": "complete",
  "config_fingerprint": "0667d4ea7a9eeb08101909c8f4b52860faadd491ce6d4ceb8094405e04a5f75e",
  "dataset_fingerprint": "6cf9eb3d777a338eb007dcc5606b2aac6605bf899a191ea399ccd77d5527acfb",
  "cursor": {
    "global_step": 3010,
    "micro_step": 24154,
    "dataset_epoch": 1,
    "sample_offset": 16960,
    "accumulation_step": 0
  },
  "extra": {
    "last_metrics": {
      "global_step": 3010,
      "behavior_loss": 0.006600444903597236,
      "behavior_microbatches": 8,
      "behavior_singleton_microbatches": 0,
      "oom_replayed_as_singletons": false,
      "gradient_norm": 0.007156455423682928,
      "learning_rate_used": 1e-06,
      "step_seconds": 14.206,
      "peak_reserved_gib": 24.904,
      "optimizer_state_device": "cpu_between_updates",
      "weighted_behavior_objective": 0.006600444903597236,
      "validation_behavior_loss": 0.01693202504888177,
      "lr_window_phase": "minimum_lr_plateau",
      "lr_window_start_step": 2940,
      "lr_window_end_step": 3010,
      "lr_window_point_count": 8,
      "lr_window_log_slope_per_step": 1.7980951354151945e-05,
      "lr_window_fitted_log_descent": -0.001258666594790636,
      "lr_window_relative_descent": -0.0012594590480323742,
      "lr_window_residual_mad_scale": 0.002189475291935303,
      "lr_window_descent_to_noise": -0.5748713399172849,
      "lr_window_accepted": false,
      "lr_window_elbow_step": 3000,
      "lr_training_window_start_step": 2950,
      "lr_training_window_end_step": 3010,
      "lr_training_window_point_count": 7,
      "lr_training_window_log_slope_per_step": -0.00010182409525911022,
      "lr_training_window_fitted_log_descent": 0.006109445715546613,
      "lr_training_window_relative_descent": 0.006090821000269142,
      "lr_training_window_residual_mad_scale": 0.018786415112912798,
      "lr_training_window_descent_to_noise": 0.3252055104088113,
      "lr_training_window_accepted": false,
      "lr_training_window_elbow_step": 3000,
      "lr_window_any_signal_accepted": false,
      "validation_interval": 10,
      "next_validation_step": 3020,
      "learning_rate": 1e-06
    },
    "reason": "periodic",
    "parent": null,
    "lr_control": {
      "version": 3,
      "config": {
        "factor": 0.5,
        "minimum_learning_rate": 1e-06,
        "window_steps": 50,
        "probe_every_steps": 10,
        "confirmation_steps": 20,
        "minimum_descent_to_noise": 1.0,
        "minimum_relative_descent": 0.0
      },
      "state": {
        "learning_rate": 1e-06,
        "points": [
          {
            "step": 3010,
            "loss": 0.01693202504888177
          }
        ],
        "training_points": [],
        "training_loss_sum": 0.0,
        "training_loss_count": 0,
        "last_training_step": 3010,
        "window_start_step": 3010,
        "next_validation_step": 3020,
        "last_analysis": {
          "start_step": 2940,
          "end_step": 3010,
          "point_count": 8,
          "log_slope_per_step": 1.7980951354151945e-05,
          "fitted_log_descent": -0.001258666594790636,
          "relative_descent": -0.0012594590480323742,
          "residual_mad_scale": 0.002189475291935303,
          "descent_to_noise": -0.5748713399172849,
          "accepted": false,
          "elbow_step": 3000
        },
        "last_training_analysis": {
          "start_step": 2950,
          "end_step": 3010,
          "point_count": 7,
          "log_slope_per_step": -0.00010182409525911022,
          "fitted_log_descent": 0.006109445715546613,
          "relative_descent": 0.006090821000269142,
          "residual_mad_scale": 0.018786415112912798,
          "descent_to_noise": 0.3252055104088113,
          "accepted": false,
          "elbow_step": 3000
        },
        "confirming": false,
        "pending_rollback": null,
        "reductions": 9
      }
    },
    "rollback_replay": null
  },
  "files": {
    "adapters.safetensors": "605e25f84b688ad82da52f79c11c042499db66cc68aa5ecc8f17bc4798546d45",
    "training_state.pt": "f8e888df22abf4325ff4bf080c6440602e51ad02fe556d8336cca0259f88d8eb"
  }
}