Hugging Face's logo

HeshamElsherif685
/
distilbert-base-uncased-finetuned-clinc

TensorBoard
Safetensors
distilbert
Generated from Trainer
Model card Files Metrics Community
distilbert-base-uncased-finetuned-clinc
File size: 3,004 Bytes 
3db7f26
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "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": 0.5861290322580646,
      "eval_loss": 0.19721022248268127,
      "eval_runtime": 6.85,
      "eval_samples_per_second": 452.554,
      "eval_steps_per_second": 9.489,
      "step": 318
    },
    {
      "epoch": 1.5723270440251573,
      "grad_norm": 0.5261461734771729,
      "learning_rate": 1.650593990216632e-05,
      "loss": 0.3175,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8193548387096774,
      "eval_loss": 0.09563933312892914,
      "eval_runtime": 5.9266,
      "eval_samples_per_second": 523.068,
      "eval_steps_per_second": 10.968,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8774193548387097,
      "eval_loss": 0.06404151022434235,
      "eval_runtime": 5.6772,
      "eval_samples_per_second": 546.04,
      "eval_steps_per_second": 11.449,
      "step": 954
    },
    {
      "epoch": 3.1446540880503147,
      "grad_norm": 0.44202694296836853,
      "learning_rate": 1.3011879804332637e-05,
      "loss": 0.1109,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8996774193548387,
      "eval_loss": 0.04958628490567207,
      "eval_runtime": 5.7185,
      "eval_samples_per_second": 542.104,
      "eval_steps_per_second": 11.367,
      "step": 1272
    },
    {
      "epoch": 4.716981132075472,
      "grad_norm": 0.3023432493209839,
      "learning_rate": 9.517819706498952e-06,
      "loss": 0.071,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9077419354838709,
      "eval_loss": 0.04074610769748688,
      "eval_runtime": 5.8617,
      "eval_samples_per_second": 528.859,
      "eval_steps_per_second": 11.089,
      "step": 1590
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9103225806451613,
      "eval_loss": 0.035789892077445984,
      "eval_runtime": 5.6338,
      "eval_samples_per_second": 550.247,
      "eval_steps_per_second": 11.537,
      "step": 1908
    },
    {
      "epoch": 6.289308176100629,
      "grad_norm": 0.2652527689933777,
      "learning_rate": 6.02375960866527e-06,
      "loss": 0.0559,
      "step": 2000
    }
  ],
  "logging_steps": 500,
  "max_steps": 2862,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "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": 520991326672152.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7760026697362031,
    "num_train_epochs": 9,
    "temperature": 12
  }
}