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: 2,343 Bytes 
0147da2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.6772277227722773,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-44/checkpoint-891",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 891,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.536985993385315,
      "learning_rate": 0.0001924744581380813,
      "loss": 0.6378,
      "step": 297
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5326732673267327,
      "eval_f1": 0.39175257731958757,
      "eval_loss": 0.6261491775512695,
      "eval_mcc": 0.07262518750715272,
      "eval_precision": 0.5588235294117647,
      "eval_recall": 0.30158730158730157,
      "eval_runtime": 0.9367,
      "eval_samples_per_second": 539.146,
      "eval_steps_per_second": 17.082,
      "step": 297
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.5330690145492554,
      "learning_rate": 0.00015397956651046503,
      "loss": 0.6119,
      "step": 594
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6554455445544555,
      "eval_f1": 0.6824817518248175,
      "eval_loss": 0.5914366841316223,
      "eval_mcc": 0.31595686996005884,
      "eval_precision": 0.6317567567567568,
      "eval_recall": 0.7420634920634921,
      "eval_runtime": 0.9379,
      "eval_samples_per_second": 538.418,
      "eval_steps_per_second": 17.059,
      "step": 594
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.7286975383758545,
      "learning_rate": 0.00011548467488284878,
      "loss": 0.5882,
      "step": 891
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6772277227722773,
      "eval_f1": 0.7296849087893864,
      "eval_loss": 0.5896957516670227,
      "eval_mcc": 0.38579394462448086,
      "eval_precision": 0.6267806267806267,
      "eval_recall": 0.873015873015873,
      "eval_runtime": 0.9307,
      "eval_samples_per_second": 542.595,
      "eval_steps_per_second": 17.191,
      "step": 891
    }
  ],
  "logging_steps": 500,
  "max_steps": 1782,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 2192103797940.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8986952116548445,
    "learning_rate": 0.00023096934976569756,
    "num_train_epochs": 6,
    "temperature": 24
  }
}