File size: 3,218 Bytes
8764705
e29c94e
8764705
 
 
 
 
 
 
 
 
 
e29c94e
 
 
8764705
 
 
 
e29c94e
 
 
 
 
 
 
 
8764705
 
 
 
e29c94e
 
 
8764705
 
 
 
e29c94e
 
 
 
 
 
 
 
8764705
 
 
 
e29c94e
 
 
8764705
 
 
 
e29c94e
 
 
 
 
 
 
 
8764705
 
 
 
e29c94e
 
 
8764705
 
 
 
e29c94e
 
 
 
 
 
 
 
8764705
 
 
 
e29c94e
 
 
8764705
 
 
 
e29c94e
 
 
 
 
 
 
 
8764705
 
 
 
e29c94e
8764705
e29c94e
8764705
 
 
 
 
e29c94e
 
 
 
8764705
 
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
117
118
119
120
121
122
{
  "best_metric": 0.6046966731898239,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-480",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 480,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.8380242586135864,
      "learning_rate": 8.6265645867868e-06,
      "loss": 0.6538,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.4980430528375734,
      "eval_f1": 0.06215722120658134,
      "eval_loss": 0.6460775136947632,
      "eval_precision": 0.4722222222222222,
      "eval_recall": 0.033268101761252444,
      "eval_runtime": 32.7473,
      "eval_samples_per_second": 31.209,
      "eval_steps_per_second": 0.977,
      "step": 96
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.982408046722412,
      "learning_rate": 6.901251669429439e-06,
      "loss": 0.6453,
      "step": 192
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5,
      "eval_f1": 0.019193857965451058,
      "eval_loss": 0.6427881717681885,
      "eval_precision": 0.5,
      "eval_recall": 0.009784735812133072,
      "eval_runtime": 30.8528,
      "eval_samples_per_second": 33.125,
      "eval_steps_per_second": 1.037,
      "step": 192
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.274803638458252,
      "learning_rate": 5.17593875207208e-06,
      "loss": 0.6429,
      "step": 288
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5313111545988258,
      "eval_f1": 0.18950930626057527,
      "eval_loss": 0.6384090781211853,
      "eval_precision": 0.7,
      "eval_recall": 0.1095890410958904,
      "eval_runtime": 29.2081,
      "eval_samples_per_second": 34.99,
      "eval_steps_per_second": 1.096,
      "step": 288
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.62313711643219,
      "learning_rate": 3.4506258347147196e-06,
      "loss": 0.6388,
      "step": 384
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5831702544031311,
      "eval_f1": 0.3622754491017964,
      "eval_loss": 0.6332760453224182,
      "eval_precision": 0.7707006369426752,
      "eval_recall": 0.23679060665362034,
      "eval_runtime": 28.4104,
      "eval_samples_per_second": 35.973,
      "eval_steps_per_second": 1.126,
      "step": 384
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.8507488965988159,
      "learning_rate": 1.7253129173573598e-06,
      "loss": 0.634,
      "step": 480
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6046966731898239,
      "eval_f1": 0.43258426966292135,
      "eval_loss": 0.629119336605072,
      "eval_precision": 0.7661691542288557,
      "eval_recall": 0.3013698630136986,
      "eval_runtime": 28.4687,
      "eval_samples_per_second": 35.899,
      "eval_steps_per_second": 1.124,
      "step": 480
    }
  ],
  "logging_steps": 500,
  "max_steps": 576,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 1178475986400.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9136100763812092,
    "learning_rate": 1.035187750414416e-05,
    "num_train_epochs": 6,
    "temperature": 5
  }
}