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: 1,768 Bytes 
93294c6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7047451669595782,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-4/checkpoint-428",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 428,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.794419765472412,
      "learning_rate": 3.974483565917368e-05,
      "loss": 0.5313,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_f1": 0.0035026269702276708,
      "eval_loss": 0.49643149971961975,
      "eval_mcc": 0.01210898699241207,
      "eval_precision": 0.5,
      "eval_recall": 0.0017574692442882249,
      "eval_runtime": 3.1332,
      "eval_samples_per_second": 544.813,
      "eval_steps_per_second": 17.235,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.522770643234253,
      "learning_rate": 3.3120696382644734e-05,
      "loss": 0.493,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7047451669595782,
      "eval_f1": 0.48884381338742394,
      "eval_loss": 0.48239898681640625,
      "eval_mcc": 0.2950146249100624,
      "eval_precision": 0.5779376498800959,
      "eval_recall": 0.4235500878734622,
      "eval_runtime": 3.1182,
      "eval_samples_per_second": 547.428,
      "eval_steps_per_second": 17.318,
      "step": 428
    }
  ],
  "logging_steps": 500,
  "max_steps": 1498,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 1049551328880.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8274705871724447,
    "learning_rate": 4.6368974935702624e-05,
    "num_train_epochs": 7,
    "temperature": 26
  }
}