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: 2,572 Bytes 
d94fb64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1908,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5696774193548387,
      "eval_loss": 0.19738028943538666,
      "eval_runtime": 5.6204,
      "eval_samples_per_second": 551.558,
      "eval_steps_per_second": 11.565,
      "step": 318
    },
    {
      "epoch": 1.5723270440251573,
      "grad_norm": 0.5302301645278931,
      "learning_rate": 1.4758909853249476e-05,
      "loss": 0.3128,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8087096774193548,
      "eval_loss": 0.10058140009641647,
      "eval_runtime": 6.1392,
      "eval_samples_per_second": 504.95,
      "eval_steps_per_second": 10.588,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8661290322580645,
      "eval_loss": 0.07083548605442047,
      "eval_runtime": 5.6445,
      "eval_samples_per_second": 549.204,
      "eval_steps_per_second": 11.516,
      "step": 954
    },
    {
      "epoch": 3.1446540880503147,
      "grad_norm": 0.4523966312408447,
      "learning_rate": 9.517819706498952e-06,
      "loss": 0.1161,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8896774193548387,
      "eval_loss": 0.057891372591257095,
      "eval_runtime": 5.7166,
      "eval_samples_per_second": 542.281,
      "eval_steps_per_second": 11.37,
      "step": 1272
    },
    {
      "epoch": 4.716981132075472,
      "grad_norm": 0.32883891463279724,
      "learning_rate": 4.276729559748428e-06,
      "loss": 0.08,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8935483870967742,
      "eval_loss": 0.051026325672864914,
      "eval_runtime": 5.9852,
      "eval_samples_per_second": 517.946,
      "eval_steps_per_second": 10.86,
      "step": 1590
    }
  ],
  "logging_steps": 500,
  "max_steps": 1908,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 391368939443328.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6947875151517261,
    "num_train_epochs": 6,
    "temperature": 17
  }
}