Hugging Face's logo

imaditya123
/
distilbert-base-uncased-finetuned-clinc

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
distilbert-base-uncased-finetuned-clinc
File size: 3,410 Bytes 
74433fa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
123
124
125
126
127
128
129
130
131
132
133
134
135
136
 
{
  "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": 0.6106451612903225,
      "eval_loss": 0.2180573046207428,
      "eval_runtime": 5.2234,
      "eval_samples_per_second": 593.484,
      "eval_steps_per_second": 12.444,
      "step": 318
    },
    {
      "epoch": 1.5723270440251573,
      "grad_norm": 0.5000836253166199,
      "learning_rate": 1.685534591194969e-05,
      "loss": 0.3508,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8367741935483871,
      "eval_loss": 0.10006564110517502,
      "eval_runtime": 5.3217,
      "eval_samples_per_second": 582.516,
      "eval_steps_per_second": 12.214,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8880645161290323,
      "eval_loss": 0.06387896835803986,
      "eval_runtime": 5.4086,
      "eval_samples_per_second": 573.166,
      "eval_steps_per_second": 12.018,
      "step": 954
    },
    {
      "epoch": 3.1446540880503147,
      "grad_norm": 0.5663716197013855,
      "learning_rate": 1.371069182389937e-05,
      "loss": 0.1169,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9,
      "eval_loss": 0.04769841209053993,
      "eval_runtime": 5.4917,
      "eval_samples_per_second": 564.492,
      "eval_steps_per_second": 11.836,
      "step": 1272
    },
    {
      "epoch": 4.716981132075472,
      "grad_norm": 0.3216884136199951,
      "learning_rate": 1.0566037735849058e-05,
      "loss": 0.0714,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9170967741935484,
      "eval_loss": 0.0384916327893734,
      "eval_runtime": 5.6475,
      "eval_samples_per_second": 548.917,
      "eval_steps_per_second": 11.51,
      "step": 1590
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9183870967741935,
      "eval_loss": 0.0333557203412056,
      "eval_runtime": 5.3094,
      "eval_samples_per_second": 583.872,
      "eval_steps_per_second": 12.242,
      "step": 1908
    },
    {
      "epoch": 6.289308176100629,
      "grad_norm": 0.24820531904697418,
      "learning_rate": 7.421383647798742e-06,
      "loss": 0.055,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9245161290322581,
      "eval_loss": 0.030584245920181274,
      "eval_runtime": 5.6073,
      "eval_samples_per_second": 552.85,
      "eval_steps_per_second": 11.592,
      "step": 2226
    },
    {
      "epoch": 7.861635220125786,
      "grad_norm": 0.21355891227722168,
      "learning_rate": 4.276729559748428e-06,
      "loss": 0.0474,
      "step": 2500
    }
  ],
  "logging_steps": 500,
  "max_steps": 3180,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 651155886807636.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.5433913699935149,
    "num_train_epochs": 10,
    "temperature": 6
  }
}