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: 3,465 Bytes 
ccc2492
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9001550988755331,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-22/checkpoint-3225",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 3225,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 2.1603200435638428,
      "learning_rate": 0.00015804016249699036,
      "loss": 0.3253,
      "step": 645
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8945327646374563,
      "eval_f1": 0.19047619047619047,
      "eval_loss": 0.29357558488845825,
      "eval_mcc": 0.23285387927696083,
      "eval_precision": 0.6213592233009708,
      "eval_recall": 0.11247803163444639,
      "eval_runtime": 9.9704,
      "eval_samples_per_second": 517.33,
      "eval_steps_per_second": 16.248,
      "step": 645
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.3251060247421265,
      "learning_rate": 0.00011853012187274275,
      "loss": 0.2915,
      "step": 1290
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8997673516867003,
      "eval_f1": 0.2385861561119293,
      "eval_loss": 0.2915143072605133,
      "eval_mcc": 0.2949928981799802,
      "eval_precision": 0.7363636363636363,
      "eval_recall": 0.14235500878734622,
      "eval_runtime": 9.9347,
      "eval_samples_per_second": 519.192,
      "eval_steps_per_second": 16.307,
      "step": 1290
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.1212515830993652,
      "learning_rate": 7.902008124849518e-05,
      "loss": 0.278,
      "step": 1935
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8993796044978674,
      "eval_f1": 0.23111111111111113,
      "eval_loss": 0.27244821190834045,
      "eval_mcc": 0.28922713720674353,
      "eval_precision": 0.7358490566037735,
      "eval_recall": 0.13708260105448156,
      "eval_runtime": 9.947,
      "eval_samples_per_second": 518.549,
      "eval_steps_per_second": 16.286,
      "step": 1935
    },
    {
      "epoch": 4.0,
      "grad_norm": 2.8891263008117676,
      "learning_rate": 3.951004062424759e-05,
      "loss": 0.2694,
      "step": 2580
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8984102365257852,
      "eval_f1": 0.34825870646766166,
      "eval_loss": 0.26875007152557373,
      "eval_mcc": 0.338541834655946,
      "eval_precision": 0.5957446808510638,
      "eval_recall": 0.2460456942003515,
      "eval_runtime": 9.9622,
      "eval_samples_per_second": 517.756,
      "eval_steps_per_second": 16.261,
      "step": 2580
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.3928107023239136,
      "learning_rate": 0.0,
      "loss": 0.2634,
      "step": 3225
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9001550988755331,
      "eval_f1": 0.3160690571049136,
      "eval_loss": 0.2647700905799866,
      "eval_mcc": 0.32932996755742344,
      "eval_precision": 0.6467391304347826,
      "eval_recall": 0.20913884007029876,
      "eval_runtime": 9.9395,
      "eval_samples_per_second": 518.939,
      "eval_steps_per_second": 16.299,
      "step": 3225
    }
  ],
  "logging_steps": 500,
  "max_steps": 3225,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 7934712663000.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9879592289455201,
    "learning_rate": 0.00019755020312123793,
    "num_train_epochs": 5,
    "temperature": 26
  }
}