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: 2,900 Bytes 
5f4c81b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.7299355594610427,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-30/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": 6.404624938964844,
      "learning_rate": 0.0006827366491550371,
      "loss": 0.5674,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.70298769771529,
      "eval_f1": 0.47461139896373056,
      "eval_loss": 0.5547006130218506,
      "eval_mcc": 0.28558083057134703,
      "eval_precision": 0.5782828282828283,
      "eval_recall": 0.4024604569420035,
      "eval_runtime": 3.121,
      "eval_samples_per_second": 546.936,
      "eval_steps_per_second": 17.302,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.9503083229064941,
      "learning_rate": 0.0005973945680106575,
      "loss": 0.518,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7299355594610427,
      "eval_f1": 0.5252317198764161,
      "eval_loss": 0.5166522860527039,
      "eval_mcc": 0.35438337904683964,
      "eval_precision": 0.6343283582089553,
      "eval_recall": 0.44815465729349735,
      "eval_runtime": 3.144,
      "eval_samples_per_second": 542.932,
      "eval_steps_per_second": 17.175,
      "step": 428
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.8388092517852783,
      "learning_rate": 0.0005120524868662778,
      "loss": 0.5125,
      "step": 642
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7076742823667252,
      "eval_f1": 0.30014025245441794,
      "eval_loss": 0.5383661985397339,
      "eval_mcc": 0.2638138145109301,
      "eval_precision": 0.7430555555555556,
      "eval_recall": 0.18804920913884007,
      "eval_runtime": 3.146,
      "eval_samples_per_second": 542.599,
      "eval_steps_per_second": 17.165,
      "step": 642
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.7875562906265259,
      "learning_rate": 0.00042671040572189826,
      "loss": 0.5058,
      "step": 856
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7193907439953134,
      "eval_f1": 0.3803363518758086,
      "eval_loss": 0.5227627158164978,
      "eval_mcc": 0.30264867309481763,
      "eval_precision": 0.7205882352941176,
      "eval_recall": 0.2583479789103691,
      "eval_runtime": 3.1421,
      "eval_samples_per_second": 543.264,
      "eval_steps_per_second": 17.186,
      "step": 856
    }
  ],
  "logging_steps": 500,
  "max_steps": 1926,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 2099102657760.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9213962687632572,
    "learning_rate": 0.0007680787302994168,
    "num_train_epochs": 9,
    "temperature": 25
  }
}