Hugging Face's logo

derekma
/
extreme-heat-relevancy

Text Classification
Transformers
PyTorch
distilbert
Inference Endpoints
Model card Files Community
1
extreme-heat-relevancy
File size: 2,803 Bytes 
117537d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.4252347946166992,
  "best_model_checkpoint": "/content/drive/My Drive/rele_model/checkpoint-50",
  "epoch": 10.0,
  "global_step": 50,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.696969696969697,
      "eval_loss": 0.6476646661758423,
      "eval_runtime": 4.1809,
      "eval_samples_per_second": 7.893,
      "eval_steps_per_second": 0.718,
      "step": 5
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.696969696969697,
      "eval_loss": 0.6051351428031921,
      "eval_runtime": 3.7537,
      "eval_samples_per_second": 8.791,
      "eval_steps_per_second": 0.799,
      "step": 10
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.696969696969697,
      "eval_loss": 0.5726537704467773,
      "eval_runtime": 4.6254,
      "eval_samples_per_second": 7.135,
      "eval_steps_per_second": 0.649,
      "step": 15
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.696969696969697,
      "eval_loss": 0.5456787943840027,
      "eval_runtime": 4.55,
      "eval_samples_per_second": 7.253,
      "eval_steps_per_second": 0.659,
      "step": 20
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7272727272727273,
      "eval_loss": 0.5086619257926941,
      "eval_runtime": 2.8705,
      "eval_samples_per_second": 11.496,
      "eval_steps_per_second": 1.045,
      "step": 25
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8181818181818182,
      "eval_loss": 0.4745181202888489,
      "eval_runtime": 4.6427,
      "eval_samples_per_second": 7.108,
      "eval_steps_per_second": 0.646,
      "step": 30
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8484848484848485,
      "eval_loss": 0.4539332985877991,
      "eval_runtime": 2.7782,
      "eval_samples_per_second": 11.878,
      "eval_steps_per_second": 1.08,
      "step": 35
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.9393939393939394,
      "eval_loss": 0.43865931034088135,
      "eval_runtime": 2.8349,
      "eval_samples_per_second": 11.641,
      "eval_steps_per_second": 1.058,
      "step": 40
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9393939393939394,
      "eval_loss": 0.4294145405292511,
      "eval_runtime": 3.1828,
      "eval_samples_per_second": 10.368,
      "eval_steps_per_second": 0.943,
      "step": 45
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.9393939393939394,
      "eval_loss": 0.4252347946166992,
      "eval_runtime": 4.2614,
      "eval_samples_per_second": 7.744,
      "eval_steps_per_second": 0.704,
      "step": 50
    }
  ],
  "max_steps": 50,
  "num_train_epochs": 10,
  "total_flos": 10996087715388.0,
  "trial_name": null,
  "trial_params": null
}