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: 2,873 Bytes 
4ba36ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7287639132981839,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-8/checkpoint-856",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 856,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 3.8868563175201416,
      "learning_rate": 0.00018706603069859162,
      "loss": 0.3842,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6848271821909784,
      "eval_f1": 0.1487341772151899,
      "eval_loss": 0.3658275604248047,
      "eval_mcc": 0.17137932324690125,
      "eval_precision": 0.746031746031746,
      "eval_recall": 0.08260105448154657,
      "eval_runtime": 3.1455,
      "eval_samples_per_second": 542.68,
      "eval_steps_per_second": 17.167,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.3482353687286377,
      "learning_rate": 0.0001247106871323944,
      "loss": 0.3585,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6877562975981254,
      "eval_f1": 0.14446227929373995,
      "eval_loss": 0.35682281851768494,
      "eval_mcc": 0.19170644527903724,
      "eval_precision": 0.8333333333333334,
      "eval_recall": 0.07908611599297012,
      "eval_runtime": 3.1465,
      "eval_samples_per_second": 542.514,
      "eval_steps_per_second": 17.162,
      "step": 428
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.6936368942260742,
      "learning_rate": 6.23553435661972e-05,
      "loss": 0.3507,
      "step": 642
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7094317516110135,
      "eval_f1": 0.2811594202898551,
      "eval_loss": 0.3534710705280304,
      "eval_mcc": 0.27440350027007715,
      "eval_precision": 0.8016528925619835,
      "eval_recall": 0.1704745166959578,
      "eval_runtime": 3.1505,
      "eval_samples_per_second": 541.819,
      "eval_steps_per_second": 17.14,
      "step": 642
    },
    {
      "epoch": 4.0,
      "grad_norm": 2.5291359424591064,
      "learning_rate": 0.0,
      "loss": 0.3471,
      "step": 856
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7287639132981839,
      "eval_f1": 0.39791937581274384,
      "eval_loss": 0.35144639015197754,
      "eval_mcc": 0.33359009133639367,
      "eval_precision": 0.765,
      "eval_recall": 0.2688927943760984,
      "eval_runtime": 3.1446,
      "eval_samples_per_second": 542.828,
      "eval_steps_per_second": 17.172,
      "step": 856
    }
  ],
  "logging_steps": 500,
  "max_steps": 856,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "total_flos": 2099102657760.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6014075049725551,
    "learning_rate": 0.0002494213742647888,
    "num_train_epochs": 4,
    "temperature": 26
  }
}