Hugging Face's logo

metamath
/
distilbert-base-uncased-finetuned-clinc

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
distilbert-base-uncased-finetuned-clinc
File size: 2,889 Bytes 
b5832e8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 7.861635220125786,
  "eval_steps": 500,
  "global_step": 2500,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6738709677419354,
      "eval_loss": 0.40543094277381897,
      "eval_runtime": 1.5192,
      "eval_samples_per_second": 2040.5,
      "eval_steps_per_second": 42.785,
      "step": 318
    },
    {
      "epoch": 1.57,
      "learning_rate": 1.685534591194969e-05,
      "loss": 0.6402,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8451612903225807,
      "eval_loss": 0.1374775767326355,
      "eval_runtime": 1.4813,
      "eval_samples_per_second": 2092.755,
      "eval_steps_per_second": 43.88,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8964516129032258,
      "eval_loss": 0.06959949433803558,
      "eval_runtime": 1.4706,
      "eval_samples_per_second": 2107.994,
      "eval_steps_per_second": 44.2,
      "step": 954
    },
    {
      "epoch": 3.14,
      "learning_rate": 1.371069182389937e-05,
      "loss": 0.1606,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9161290322580645,
      "eval_loss": 0.05019702389836311,
      "eval_runtime": 1.469,
      "eval_samples_per_second": 2110.305,
      "eval_steps_per_second": 44.248,
      "step": 1272
    },
    {
      "epoch": 4.72,
      "learning_rate": 1.0566037735849058e-05,
      "loss": 0.0795,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9251612903225807,
      "eval_loss": 0.0416053868830204,
      "eval_runtime": 1.4758,
      "eval_samples_per_second": 2100.597,
      "eval_steps_per_second": 44.045,
      "step": 1590
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9287096774193548,
      "eval_loss": 0.03693937882781029,
      "eval_runtime": 1.4766,
      "eval_samples_per_second": 2099.377,
      "eval_steps_per_second": 44.019,
      "step": 1908
    },
    {
      "epoch": 6.29,
      "learning_rate": 7.421383647798742e-06,
      "loss": 0.06,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9306451612903226,
      "eval_loss": 0.034136172384023666,
      "eval_runtime": 1.4764,
      "eval_samples_per_second": 2099.651,
      "eval_steps_per_second": 44.025,
      "step": 2226
    },
    {
      "epoch": 7.86,
      "learning_rate": 4.276729559748428e-06,
      "loss": 0.0515,
      "step": 2500
    }
  ],
  "logging_steps": 500,
  "max_steps": 3180,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 792271302006156.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6113798620723033,
    "num_train_epochs": 10,
    "temperature": 2
  }
}