Hugging Face's logo

xuancoblab2023
/
tiny-bert-sst2-distilled

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
tiny-bert-sst2-distilled
File size: 3,285 Bytes 
192c0c6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8287671232876712,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-14/checkpoint-245",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 245,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.3073023557662964,
      "learning_rate": 0.00021800841920007835,
      "loss": 0.5666,
      "step": 49
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7720156555772995,
      "eval_f1": 0.8010247651579846,
      "eval_loss": 0.48246321082115173,
      "eval_precision": 0.7106060606060606,
      "eval_recall": 0.9178082191780822,
      "eval_runtime": 28.2754,
      "eval_samples_per_second": 36.145,
      "eval_steps_per_second": 1.132,
      "step": 49
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.786695957183838,
      "learning_rate": 0.00016350631440005875,
      "loss": 0.4698,
      "step": 98
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8023483365949119,
      "eval_f1": 0.8212389380530973,
      "eval_loss": 0.436308890581131,
      "eval_precision": 0.7495961227786753,
      "eval_recall": 0.9080234833659491,
      "eval_runtime": 28.7331,
      "eval_samples_per_second": 35.569,
      "eval_steps_per_second": 1.114,
      "step": 98
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.9201297760009766,
      "learning_rate": 0.00010900420960003918,
      "loss": 0.4418,
      "step": 147
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8111545988258317,
      "eval_f1": 0.8197945845004668,
      "eval_loss": 0.41809919476509094,
      "eval_precision": 0.7839285714285714,
      "eval_recall": 0.8590998043052838,
      "eval_runtime": 27.7463,
      "eval_samples_per_second": 36.834,
      "eval_steps_per_second": 1.153,
      "step": 147
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.8454147577285767,
      "learning_rate": 5.450210480001959e-05,
      "loss": 0.4241,
      "step": 196
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8228962818003914,
      "eval_f1": 0.8340971585701191,
      "eval_loss": 0.41074350476264954,
      "eval_precision": 0.7844827586206896,
      "eval_recall": 0.8904109589041096,
      "eval_runtime": 27.5953,
      "eval_samples_per_second": 37.035,
      "eval_steps_per_second": 1.16,
      "step": 196
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.8352748155593872,
      "learning_rate": 0.0,
      "loss": 0.4122,
      "step": 245
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8287671232876712,
      "eval_f1": 0.839596700274977,
      "eval_loss": 0.4070187509059906,
      "eval_precision": 0.7896551724137931,
      "eval_recall": 0.8962818003913894,
      "eval_runtime": 28.0192,
      "eval_samples_per_second": 36.475,
      "eval_steps_per_second": 1.142,
      "step": 245
    }
  ],
  "logging_steps": 500,
  "max_steps": 245,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 1178475986400.0,
  "train_batch_size": 63,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8444228810359851,
    "learning_rate": 0.00027251052400009793,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 63,
    "temperature": 21
  }
}