File size: 1,958 Bytes
4fc3f11
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.45042204436320565,
  "best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-2/checkpoint-1605",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 1605,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9345794392523364,
      "grad_norm": 5.135624885559082,
      "learning_rate": 3.571015099578109e-06,
      "loss": 0.5612,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.5108451843261719,
      "eval_matthews_correlation": 0.4068953869702192,
      "eval_runtime": 0.3429,
      "eval_samples_per_second": 3041.66,
      "eval_steps_per_second": 192.473,
      "step": 535
    },
    {
      "epoch": 1.8691588785046729,
      "grad_norm": 11.39373779296875,
      "learning_rate": 2.750092088180842e-06,
      "loss": 0.4687,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.5220178365707397,
      "eval_matthews_correlation": 0.415128776020243,
      "eval_runtime": 0.3609,
      "eval_samples_per_second": 2889.801,
      "eval_steps_per_second": 182.864,
      "step": 1070
    },
    {
      "epoch": 2.803738317757009,
      "grad_norm": 14.82923412322998,
      "learning_rate": 1.929169076783576e-06,
      "loss": 0.4153,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_loss": 0.5056647658348083,
      "eval_matthews_correlation": 0.45042204436320565,
      "eval_runtime": 0.396,
      "eval_samples_per_second": 2633.94,
      "eval_steps_per_second": 166.673,
      "step": 1605
    }
  ],
  "logging_steps": 500,
  "max_steps": 2675,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 128780303151612.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 4.391938110975375e-06,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 16,
    "seed": 23
  }
}