Hugging Face's logo

gokuls
/
mobilebert_add_GLUE_Experiment_logit_kd_pretrain_mrpc

Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
mobilebert_add_GLUE_Experiment_logit_kd_pretrain_mrpc
File size: 3,076 Bytes 
2ae79bc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": NaN,
  "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_pretrain_mrpc/checkpoint-29",
  "epoch": 6.0,
  "global_step": 174,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 4.9e-05,
      "loss": 0.0,
      "step": 29
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7358,
      "eval_samples_per_second": 554.512,
      "eval_steps_per_second": 5.436,
      "step": 29
    },
    {
      "epoch": 2.0,
      "learning_rate": 4.8e-05,
      "loss": 0.0,
      "step": 58
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7382,
      "eval_samples_per_second": 552.7,
      "eval_steps_per_second": 5.419,
      "step": 58
    },
    {
      "epoch": 3.0,
      "learning_rate": 4.7e-05,
      "loss": 0.0,
      "step": 87
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7402,
      "eval_samples_per_second": 551.224,
      "eval_steps_per_second": 5.404,
      "step": 87
    },
    {
      "epoch": 4.0,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.0,
      "step": 116
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7385,
      "eval_samples_per_second": 552.451,
      "eval_steps_per_second": 5.416,
      "step": 116
    },
    {
      "epoch": 5.0,
      "learning_rate": 4.5e-05,
      "loss": 0.0,
      "step": 145
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7334,
      "eval_samples_per_second": 556.297,
      "eval_steps_per_second": 5.454,
      "step": 145
    },
    {
      "epoch": 6.0,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.0,
      "step": 174
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.3161764705882353,
      "eval_combined_score": 0.15808823529411764,
      "eval_f1": 0.0,
      "eval_loss": NaN,
      "eval_runtime": 0.7457,
      "eval_samples_per_second": 547.144,
      "eval_steps_per_second": 5.364,
      "step": 174
    },
    {
      "epoch": 6.0,
      "step": 174,
      "total_flos": 659883590418432.0,
      "train_loss": 0.0,
      "train_runtime": 138.3637,
      "train_samples_per_second": 1325.492,
      "train_steps_per_second": 10.48
    }
  ],
  "max_steps": 1450,
  "num_train_epochs": 50,
  "total_flos": 659883590418432.0,
  "trial_name": null,
  "trial_params": null
}