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: 3,812 Bytes 
bbf7cc6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
 
{
  "best_metric": 0.5440313111545988,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-7/checkpoint-292",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 876,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.4084218442440033,
      "learning_rate": 0.0002846359367487843,
      "loss": 0.0564,
      "step": 146
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5420743639921722,
      "eval_f1": 0.21212121212121213,
      "eval_loss": 0.042483557015657425,
      "eval_precision": 0.7590361445783133,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 28.2636,
      "eval_samples_per_second": 36.16,
      "eval_steps_per_second": 1.132,
      "step": 146
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.22884152829647064,
      "learning_rate": 0.00022770874939902745,
      "loss": 0.0455,
      "step": 292
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5440313111545988,
      "eval_f1": 0.21283783783783783,
      "eval_loss": 0.04199887067079544,
      "eval_precision": 0.7777777777777778,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 27.8033,
      "eval_samples_per_second": 36.758,
      "eval_steps_per_second": 1.151,
      "step": 292
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.41705241799354553,
      "learning_rate": 0.0001707815620492706,
      "loss": 0.0445,
      "step": 438
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5322896281800391,
      "eval_f1": 0.1758620689655172,
      "eval_loss": 0.0437779501080513,
      "eval_precision": 0.7391304347826086,
      "eval_recall": 0.09980430528375733,
      "eval_runtime": 28.2813,
      "eval_samples_per_second": 36.137,
      "eval_steps_per_second": 1.131,
      "step": 438
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.17889831960201263,
      "learning_rate": 0.00011385437469951372,
      "loss": 0.0435,
      "step": 584
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5332681017612525,
      "eval_f1": 0.17900172117039587,
      "eval_loss": 0.04091888666152954,
      "eval_precision": 0.7428571428571429,
      "eval_recall": 0.10176125244618395,
      "eval_runtime": 28.0708,
      "eval_samples_per_second": 36.408,
      "eval_steps_per_second": 1.14,
      "step": 584
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.35064178705215454,
      "learning_rate": 5.692718734975686e-05,
      "loss": 0.0431,
      "step": 730
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5322896281800391,
      "eval_f1": 0.1758620689655172,
      "eval_loss": 0.04131113365292549,
      "eval_precision": 0.7391304347826086,
      "eval_recall": 0.09980430528375733,
      "eval_runtime": 27.8905,
      "eval_samples_per_second": 36.643,
      "eval_steps_per_second": 1.147,
      "step": 730
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.22150251269340515,
      "learning_rate": 0.0,
      "loss": 0.0427,
      "step": 876
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5352250489236791,
      "eval_f1": 0.18524871355060032,
      "eval_loss": 0.04079839587211609,
      "eval_precision": 0.75,
      "eval_recall": 0.10567514677103718,
      "eval_runtime": 27.877,
      "eval_samples_per_second": 36.661,
      "eval_steps_per_second": 1.148,
      "step": 876
    }
  ],
  "logging_steps": 500,
  "max_steps": 876,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 1414171183680.0,
  "train_batch_size": 21,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.04464648890006717,
    "learning_rate": 0.0003415631240985412,
    "num_train_epochs": 6,
    "per_device_train_batch_size": 21,
    "temperature": 2
  }
}