Hugging Face's logo

tmnam20
/
gpt1_original-pretrain_xnli_head_2

Text Classification
Transformers
PyTorch
openai-gpt
Inference Endpoints
Model card Files Community
gpt1_original-pretrain_xnli_head_2
File size: 3,169 Bytes 
3176098
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 1.094804048538208,
  "best_model_checkpoint": "/kaggle/output/checkpoint-7000",
  "epoch": 0.28520208604954367,
  "eval_steps": 1000,
  "global_step": 7000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0,
      "learning_rate": 2.7777777777777777e-11,
      "loss": 1.0788,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 2.7750000000000004e-08,
      "loss": 1.2063,
      "step": 1000
    },
    {
      "epoch": 0.04,
      "eval_accuracy": 0.32894211576846305,
      "eval_loss": 1.109653115272522,
      "eval_runtime": 50.6057,
      "eval_samples_per_second": 99.001,
      "eval_steps_per_second": 12.39,
      "step": 1000
    },
    {
      "epoch": 0.08,
      "learning_rate": 5.5527777777777784e-08,
      "loss": 1.1293,
      "step": 2000
    },
    {
      "epoch": 0.08,
      "eval_accuracy": 0.32994011976047904,
      "eval_loss": 1.1056402921676636,
      "eval_runtime": 50.7169,
      "eval_samples_per_second": 98.784,
      "eval_steps_per_second": 12.363,
      "step": 2000
    },
    {
      "epoch": 0.12,
      "learning_rate": 8.327777777777778e-08,
      "loss": 1.1263,
      "step": 3000
    },
    {
      "epoch": 0.12,
      "eval_accuracy": 0.3347305389221557,
      "eval_loss": 1.1063188314437866,
      "eval_runtime": 50.8081,
      "eval_samples_per_second": 98.606,
      "eval_steps_per_second": 12.341,
      "step": 3000
    },
    {
      "epoch": 0.16,
      "learning_rate": 1.1105555555555557e-07,
      "loss": 1.1211,
      "step": 4000
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.34291417165668664,
      "eval_loss": 1.1010773181915283,
      "eval_runtime": 50.6469,
      "eval_samples_per_second": 98.92,
      "eval_steps_per_second": 12.38,
      "step": 4000
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.3883333333333335e-07,
      "loss": 1.1176,
      "step": 5000
    },
    {
      "epoch": 0.2,
      "eval_accuracy": 0.3395209580838323,
      "eval_loss": 1.099412441253662,
      "eval_runtime": 50.7266,
      "eval_samples_per_second": 98.765,
      "eval_steps_per_second": 12.36,
      "step": 5000
    },
    {
      "epoch": 0.24,
      "learning_rate": 1.6658333333333335e-07,
      "loss": 1.1165,
      "step": 6000
    },
    {
      "epoch": 0.24,
      "eval_accuracy": 0.3596806387225549,
      "eval_loss": 1.0983413457870483,
      "eval_runtime": 50.7493,
      "eval_samples_per_second": 98.721,
      "eval_steps_per_second": 12.355,
      "step": 6000
    },
    {
      "epoch": 0.29,
      "learning_rate": 1.9436111111111112e-07,
      "loss": 1.1127,
      "step": 7000
    },
    {
      "epoch": 0.29,
      "eval_accuracy": 0.35768463073852297,
      "eval_loss": 1.094804048538208,
      "eval_runtime": 50.8322,
      "eval_samples_per_second": 98.56,
      "eval_steps_per_second": 12.335,
      "step": 7000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10000000,
  "num_train_epochs": 408,
  "save_steps": 1000,
  "total_flos": 1.4632485912576e+16,
  "trial_name": null,
  "trial_params": null
}