File size: 1,915 Bytes
67c8f72
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.716981132075472,
  "eval_steps": 500,
  "global_step": 1500,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6054838709677419,
      "eval_loss": 0.21967020630836487,
      "eval_runtime": 1.4167,
      "eval_samples_per_second": 2188.185,
      "eval_steps_per_second": 45.881,
      "step": 318
    },
    {
      "epoch": 1.57,
      "learning_rate": 1.650593990216632e-05,
      "loss": 0.3526,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8393548387096774,
      "eval_loss": 0.10301334410905838,
      "eval_runtime": 1.5626,
      "eval_samples_per_second": 1983.839,
      "eval_steps_per_second": 41.597,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8845161290322581,
      "eval_loss": 0.06688232719898224,
      "eval_runtime": 1.4727,
      "eval_samples_per_second": 2105.045,
      "eval_steps_per_second": 44.138,
      "step": 954
    },
    {
      "epoch": 3.14,
      "learning_rate": 1.3011879804332637e-05,
      "loss": 0.1192,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8993548387096775,
      "eval_loss": 0.049738675355911255,
      "eval_runtime": 1.4561,
      "eval_samples_per_second": 2129.004,
      "eval_steps_per_second": 44.64,
      "step": 1272
    },
    {
      "epoch": 4.72,
      "learning_rate": 9.517819706498952e-06,
      "loss": 0.0738,
      "step": 1500
    }
  ],
  "logging_steps": 500,
  "max_steps": 2862,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 391111083046572.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.016710650067674027,
    "num_train_epochs": 9,
    "temperature": 6
  }
}