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: 2,208 Bytes 
4ae602e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7661448140900196,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-17/checkpoint-144",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 144,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.7164396047592163,
      "learning_rate": 0.0007649073963933848,
      "loss": 0.5715,
      "step": 48
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7397260273972602,
      "eval_f1": 0.7861736334405145,
      "eval_loss": 0.5001023411750793,
      "eval_precision": 0.6671214188267395,
      "eval_recall": 0.9569471624266145,
      "eval_runtime": 27.2812,
      "eval_samples_per_second": 37.462,
      "eval_steps_per_second": 0.586,
      "step": 48
    },
    {
      "epoch": 2.0,
      "grad_norm": 2.8946006298065186,
      "learning_rate": 0.0005736805472950385,
      "loss": 0.4948,
      "step": 96
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7455968688845401,
      "eval_f1": 0.7893030794165317,
      "eval_loss": 0.4874393045902252,
      "eval_precision": 0.673582295988935,
      "eval_recall": 0.9530332681017613,
      "eval_runtime": 27.1224,
      "eval_samples_per_second": 37.681,
      "eval_steps_per_second": 0.59,
      "step": 96
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.64782452583313,
      "learning_rate": 0.0003824536981966924,
      "loss": 0.4839,
      "step": 144
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7661448140900196,
      "eval_f1": 0.8023159636062862,
      "eval_loss": 0.4675934612751007,
      "eval_precision": 0.6948424068767909,
      "eval_recall": 0.949119373776908,
      "eval_runtime": 26.9999,
      "eval_samples_per_second": 37.852,
      "eval_steps_per_second": 0.593,
      "step": 144
    }
  ],
  "logging_steps": 500,
  "max_steps": 240,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 707085591840.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8956137687880612,
    "learning_rate": 0.000956134245491731,
    "num_train_epochs": 5,
    "temperature": 12
  }
}