Hugging Face's logo

100yen
/
distilbert-base-uncased-finetuned-clinc

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
distilbert-base-uncased-finetuned-clinc
File size: 2,459 Bytes 
e375f00
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.289308176100629,
  "eval_steps": 500,
  "global_step": 2000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7241935483870968,
      "eval_loss": 3.2103216648101807,
      "eval_runtime": 2.39,
      "eval_samples_per_second": 1297.069,
      "eval_steps_per_second": 27.197,
      "step": 318
    },
    {
      "epoch": 1.57,
      "learning_rate": 1.550763701707098e-05,
      "loss": 3.7291,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8529032258064516,
      "eval_loss": 1.6777656078338623,
      "eval_runtime": 2.436,
      "eval_samples_per_second": 1272.578,
      "eval_steps_per_second": 26.683,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9058064516129032,
      "eval_loss": 0.9034197926521301,
      "eval_runtime": 2.544,
      "eval_samples_per_second": 1218.553,
      "eval_steps_per_second": 25.55,
      "step": 954
    },
    {
      "epoch": 3.14,
      "learning_rate": 1.101527403414196e-05,
      "loss": 1.4651,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9283870967741935,
      "eval_loss": 0.5764979124069214,
      "eval_runtime": 2.477,
      "eval_samples_per_second": 1251.514,
      "eval_steps_per_second": 26.241,
      "step": 1272
    },
    {
      "epoch": 4.72,
      "learning_rate": 6.522911051212939e-06,
      "loss": 0.5782,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9367741935483871,
      "eval_loss": 0.4352918565273285,
      "eval_runtime": 2.448,
      "eval_samples_per_second": 1266.338,
      "eval_steps_per_second": 26.552,
      "step": 1590
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9406451612903226,
      "eval_loss": 0.3758969306945801,
      "eval_runtime": 2.436,
      "eval_samples_per_second": 1272.578,
      "eval_steps_per_second": 26.683,
      "step": 1908
    },
    {
      "epoch": 6.29,
      "learning_rate": 2.0305480682839176e-06,
      "loss": 0.3117,
      "step": 2000
    }
  ],
  "logging_steps": 500,
  "max_steps": 2226,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 602555922515232.0,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9093370096712147,
    "num_train_epochs": 7,
    "temperature": 18
  }
}