Hugging Face's logo

gokuls
/
hBERTv2_data_aug_qnli

Text Classification
Transformers
PyTorch
TensorBoard
English
hybridbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hBERTv2_data_aug_qnli
File size: 2,855 Bytes 
b4f0a11
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.6930704116821289,
  "best_model_checkpoint": "hBERTv2_data_aug_qnli/checkpoint-16604",
  "epoch": 6.0,
  "global_step": 99624,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 4.900036135870875e-05,
      "loss": 0.6934,
      "step": 16604
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5053999633900788,
      "eval_loss": 0.6930704116821289,
      "eval_runtime": 6.4224,
      "eval_samples_per_second": 850.613,
      "eval_steps_per_second": 3.425,
      "step": 16604
    },
    {
      "epoch": 2.0,
      "learning_rate": 4.800078294386895e-05,
      "loss": 0.6932,
      "step": 33208
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5053999633900788,
      "eval_loss": 0.6931126117706299,
      "eval_runtime": 6.4301,
      "eval_samples_per_second": 849.596,
      "eval_steps_per_second": 3.421,
      "step": 33208
    },
    {
      "epoch": 3.0,
      "learning_rate": 4.700114430257769e-05,
      "loss": 0.6932,
      "step": 49812
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.4946000366099213,
      "eval_loss": 0.6931178569793701,
      "eval_runtime": 6.4408,
      "eval_samples_per_second": 848.182,
      "eval_steps_per_second": 3.416,
      "step": 49812
    },
    {
      "epoch": 4.0,
      "learning_rate": 4.6001565887737896e-05,
      "loss": 0.6932,
      "step": 66416
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5053999633900788,
      "eval_loss": 0.6931198239326477,
      "eval_runtime": 6.3591,
      "eval_samples_per_second": 859.08,
      "eval_steps_per_second": 3.46,
      "step": 66416
    },
    {
      "epoch": 5.0,
      "learning_rate": 4.500204769934956e-05,
      "loss": 0.6932,
      "step": 83020
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.4946000366099213,
      "eval_loss": 0.6931706070899963,
      "eval_runtime": 6.3657,
      "eval_samples_per_second": 858.199,
      "eval_steps_per_second": 3.456,
      "step": 83020
    },
    {
      "epoch": 6.0,
      "learning_rate": 4.400252951096122e-05,
      "loss": 0.6932,
      "step": 99624
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5053999633900788,
      "eval_loss": 0.6931073069572449,
      "eval_runtime": 6.4132,
      "eval_samples_per_second": 851.84,
      "eval_steps_per_second": 3.43,
      "step": 99624
    },
    {
      "epoch": 6.0,
      "step": 99624,
      "total_flos": 3.1764944527640494e+18,
      "train_loss": 0.6932406767414228,
      "train_runtime": 86584.2008,
      "train_samples_per_second": 2454.553,
      "train_steps_per_second": 9.588
    }
  ],
  "max_steps": 830200,
  "num_train_epochs": 50,
  "total_flos": 3.1764944527640494e+18,
  "trial_name": null,
  "trial_params": null
}