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: 2,901 Bytes 
7fac81d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.7322788517867604,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-16/checkpoint-428",
  "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": 3.7153942584991455,
      "learning_rate": 0.0004713975088977992,
      "loss": 0.4261,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7041593438781488,
      "eval_f1": 0.3711083437110834,
      "eval_loss": 0.4133966565132141,
      "eval_mcc": 0.25654012586617897,
      "eval_precision": 0.6367521367521367,
      "eval_recall": 0.2618629173989455,
      "eval_runtime": 3.146,
      "eval_samples_per_second": 542.601,
      "eval_steps_per_second": 17.165,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.4420157670974731,
      "learning_rate": 0.00040405500762668504,
      "loss": 0.3984,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7322788517867604,
      "eval_f1": 0.4148527528809219,
      "eval_loss": 0.3995412588119507,
      "eval_mcc": 0.3441494170095203,
      "eval_precision": 0.7641509433962265,
      "eval_recall": 0.28471001757469244,
      "eval_runtime": 3.1311,
      "eval_samples_per_second": 545.175,
      "eval_steps_per_second": 17.246,
      "step": 428
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.6647379398345947,
      "learning_rate": 0.00033671250635557083,
      "loss": 0.3892,
      "step": 642
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7164616285881664,
      "eval_f1": 0.31054131054131057,
      "eval_loss": 0.404163122177124,
      "eval_mcc": 0.2998185832284545,
      "eval_precision": 0.8195488721804511,
      "eval_recall": 0.19156414762741653,
      "eval_runtime": 3.1493,
      "eval_samples_per_second": 542.02,
      "eval_steps_per_second": 17.146,
      "step": 642
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.7359706163406372,
      "learning_rate": 0.0002693700050844567,
      "loss": 0.383,
      "step": 856
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.731693028705331,
      "eval_f1": 0.39417989417989413,
      "eval_loss": 0.3869684040546417,
      "eval_mcc": 0.3448385044419957,
      "eval_precision": 0.7967914438502673,
      "eval_recall": 0.2618629173989455,
      "eval_runtime": 3.1495,
      "eval_samples_per_second": 541.995,
      "eval_steps_per_second": 17.146,
      "step": 856
    }
  ],
  "logging_steps": 500,
  "max_steps": 1712,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "total_flos": 2099102657760.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6774741209148297,
    "learning_rate": 0.0005387400101689134,
    "num_train_epochs": 8,
    "temperature": 18
  }
}