Hugging Face's logo

tmnam20
/
gpt1_original-pretrain_xnli-head-24

Text Classification
Transformers
PyTorch
openai-gpt
Inference Endpoints
Model card Files Community
gpt1_original-pretrain_xnli-head-24
File size: 2,434 Bytes 
71ff3bc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 1.1005476713180542,
  "best_model_checkpoint": "/kaggle/output/checkpoint-5000",
  "epoch": 0.20371577574967406,
  "eval_steps": 1000,
  "global_step": 5000,
  "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": 1.1506,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 2.7750000000000004e-08,
      "loss": 1.1326,
      "step": 1000
    },
    {
      "epoch": 0.04,
      "eval_accuracy": 0.3331337325349301,
      "eval_loss": 1.1057127714157104,
      "eval_runtime": 61.3538,
      "eval_samples_per_second": 81.657,
      "eval_steps_per_second": 10.219,
      "step": 1000
    },
    {
      "epoch": 0.08,
      "learning_rate": 5.5527777777777784e-08,
      "loss": 1.1238,
      "step": 2000
    },
    {
      "epoch": 0.08,
      "eval_accuracy": 0.33812375249501,
      "eval_loss": 1.1044437885284424,
      "eval_runtime": 61.256,
      "eval_samples_per_second": 81.788,
      "eval_steps_per_second": 10.236,
      "step": 2000
    },
    {
      "epoch": 0.12,
      "learning_rate": 8.327777777777778e-08,
      "loss": 1.1251,
      "step": 3000
    },
    {
      "epoch": 0.12,
      "eval_accuracy": 0.3407185628742515,
      "eval_loss": 1.1043975353240967,
      "eval_runtime": 61.2433,
      "eval_samples_per_second": 81.805,
      "eval_steps_per_second": 10.238,
      "step": 3000
    },
    {
      "epoch": 0.16,
      "learning_rate": 1.1105555555555557e-07,
      "loss": 1.1205,
      "step": 4000
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.3387225548902196,
      "eval_loss": 1.100860357284546,
      "eval_runtime": 61.4457,
      "eval_samples_per_second": 81.535,
      "eval_steps_per_second": 10.204,
      "step": 4000
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.3880555555555558e-07,
      "loss": 1.1192,
      "step": 5000
    },
    {
      "epoch": 0.2,
      "eval_accuracy": 0.34151696606786425,
      "eval_loss": 1.1005476713180542,
      "eval_runtime": 61.2568,
      "eval_samples_per_second": 81.787,
      "eval_steps_per_second": 10.236,
      "step": 5000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10000000,
  "num_train_epochs": 408,
  "save_steps": 1000,
  "total_flos": 1.045177565184e+16,
  "trial_name": null,
  "trial_params": null
}