Hugging Face's logo

Egdal
/
distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
distilbert-base-uncased-distilled-clinc
File size: 2,771 Bytes 
af7b607
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1590,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9968553459119497,
      "grad_norm": 1.6039808988571167,
      "learning_rate": 5.065571746465663e-05,
      "loss": 1.6999,
      "step": 317
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8796774193548387,
      "eval_loss": 0.6092725992202759,
      "eval_runtime": 1.5297,
      "eval_samples_per_second": 2026.511,
      "eval_steps_per_second": 42.491,
      "step": 318
    },
    {
      "epoch": 1.9937106918238994,
      "grad_norm": 1.3073052167892456,
      "learning_rate": 3.804152859089688e-05,
      "loss": 0.3649,
      "step": 634
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9441935483870968,
      "eval_loss": 0.26733827590942383,
      "eval_runtime": 1.599,
      "eval_samples_per_second": 1938.714,
      "eval_steps_per_second": 40.65,
      "step": 636
    },
    {
      "epoch": 2.990566037735849,
      "grad_norm": 0.9172638654708862,
      "learning_rate": 2.5427339717137144e-05,
      "loss": 0.17,
      "step": 951
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9509677419354838,
      "eval_loss": 0.21482910215854645,
      "eval_runtime": 1.5321,
      "eval_samples_per_second": 2023.337,
      "eval_steps_per_second": 42.425,
      "step": 954
    },
    {
      "epoch": 3.9874213836477987,
      "grad_norm": 0.21971359848976135,
      "learning_rate": 1.2813150843377403e-05,
      "loss": 0.1257,
      "step": 1268
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9525806451612904,
      "eval_loss": 0.19617104530334473,
      "eval_runtime": 1.5262,
      "eval_samples_per_second": 2031.182,
      "eval_steps_per_second": 42.589,
      "step": 1272
    },
    {
      "epoch": 4.984276729559748,
      "grad_norm": 0.26785457134246826,
      "learning_rate": 1.9896196961766153e-07,
      "loss": 0.1111,
      "step": 1585
    }
  ],
  "logging_steps": 317,
  "max_steps": 1590,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 1000000000.0,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 413645760585204.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.5465581592325828,
    "learning_rate": 6.326990633841637e-05,
    "num_train_epochs": 5,
    "temperature": 10,
    "weight_decay": 0.002233921802208827
  }
}