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: 4,063 Bytes 
bc10741
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
143
144
145
146
147
148
 
{
  "best_metric": 0.7798434442270059,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-1152",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1152,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.7568773031234741,
      "learning_rate": 0.00039540069434609415,
      "loss": 0.3274,
      "step": 192
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5430528375733855,
      "eval_f1": 0.20442930153321975,
      "eval_loss": 0.30545827746391296,
      "eval_mcc": 0.1640968755879385,
      "eval_precision": 0.7894736842105263,
      "eval_recall": 0.11741682974559686,
      "eval_runtime": 66.7048,
      "eval_samples_per_second": 15.321,
      "eval_steps_per_second": 0.48,
      "step": 192
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.822717547416687,
      "learning_rate": 0.0003295005786217451,
      "loss": 0.3076,
      "step": 384
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5459882583170255,
      "eval_f1": 0.21355932203389827,
      "eval_loss": 0.2995118200778961,
      "eval_mcc": 0.17219814389174506,
      "eval_precision": 0.7974683544303798,
      "eval_recall": 0.1232876712328767,
      "eval_runtime": 66.8,
      "eval_samples_per_second": 15.299,
      "eval_steps_per_second": 0.479,
      "step": 384
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.0308061838150024,
      "learning_rate": 0.0002636004628973961,
      "loss": 0.2967,
      "step": 576
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5694716242661448,
      "eval_f1": 0.29936305732484075,
      "eval_loss": 0.2949042022228241,
      "eval_mcc": 0.21819315809183495,
      "eval_precision": 0.8034188034188035,
      "eval_recall": 0.18395303326810175,
      "eval_runtime": 66.6296,
      "eval_samples_per_second": 15.339,
      "eval_steps_per_second": 0.48,
      "step": 576
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.6645914316177368,
      "learning_rate": 0.00019770034717304707,
      "loss": 0.296,
      "step": 768
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.6183953033268101,
      "eval_f1": 0.4298245614035087,
      "eval_loss": 0.29466578364372253,
      "eval_mcc": 0.3157246377506289,
      "eval_precision": 0.8497109826589595,
      "eval_recall": 0.2876712328767123,
      "eval_runtime": 67.3924,
      "eval_samples_per_second": 15.165,
      "eval_steps_per_second": 0.475,
      "step": 768
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.67695951461792,
      "learning_rate": 0.00013180023144869805,
      "loss": 0.2906,
      "step": 960
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7240704500978473,
      "eval_f1": 0.6658767772511849,
      "eval_loss": 0.29085618257522583,
      "eval_mcc": 0.478083499336065,
      "eval_precision": 0.8438438438438438,
      "eval_recall": 0.5499021526418787,
      "eval_runtime": 66.3348,
      "eval_samples_per_second": 15.407,
      "eval_steps_per_second": 0.482,
      "step": 960
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.9722081422805786,
      "learning_rate": 6.590011572434902e-05,
      "loss": 0.2869,
      "step": 1152
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7798434442270059,
      "eval_f1": 0.7583243823845327,
      "eval_loss": 0.29121583700180054,
      "eval_mcc": 0.5687784616694839,
      "eval_precision": 0.8404761904761905,
      "eval_recall": 0.6908023483365949,
      "eval_runtime": 66.588,
      "eval_samples_per_second": 15.348,
      "eval_steps_per_second": 0.481,
      "step": 1152
    }
  ],
  "logging_steps": 500,
  "max_steps": 1344,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 1414171183680.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.4369516344275761,
    "learning_rate": 0.00046130081007044317,
    "num_train_epochs": 7,
    "per_device_train_batch_size": 16,
    "temperature": 15
  }
}