Hugging Face's logo

tmnam20
/
gpt1_n-layer-24_xnli

Text Classification
Transformers
PyTorch
openai-gpt
Inference Endpoints
Model card Files Community
gpt1_n-layer-24_xnli
File size: 3,541 Bytes 
ead8a24
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
 
{
  "best_metric": 1.098555564880371,
  "best_model_checkpoint": "/kaggle/output/checkpoint-8000",
  "epoch": 0.3259452411994785,
  "eval_steps": 1000,
  "global_step": 8000,
  "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": 1.2358,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 2.7750000000000004e-08,
      "loss": 1.1519,
      "step": 1000
    },
    {
      "epoch": 0.04,
      "eval_accuracy": 0.3201596806387226,
      "eval_loss": 1.1120171546936035,
      "eval_runtime": 29.027,
      "eval_samples_per_second": 172.598,
      "eval_steps_per_second": 21.601,
      "step": 1000
    },
    {
      "epoch": 0.08,
      "learning_rate": 5.5527777777777784e-08,
      "loss": 1.128,
      "step": 2000
    },
    {
      "epoch": 0.08,
      "eval_accuracy": 0.31796407185628744,
      "eval_loss": 1.108055830001831,
      "eval_runtime": 28.9944,
      "eval_samples_per_second": 172.792,
      "eval_steps_per_second": 21.625,
      "step": 2000
    },
    {
      "epoch": 0.12,
      "learning_rate": 8.327777777777778e-08,
      "loss": 1.122,
      "step": 3000
    },
    {
      "epoch": 0.12,
      "eval_accuracy": 0.3345309381237525,
      "eval_loss": 1.1074285507202148,
      "eval_runtime": 28.9901,
      "eval_samples_per_second": 172.818,
      "eval_steps_per_second": 21.628,
      "step": 3000
    },
    {
      "epoch": 0.16,
      "learning_rate": 1.1105555555555557e-07,
      "loss": 1.1196,
      "step": 4000
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.3337325349301397,
      "eval_loss": 1.1045424938201904,
      "eval_runtime": 28.9791,
      "eval_samples_per_second": 172.883,
      "eval_steps_per_second": 21.636,
      "step": 4000
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.3880555555555558e-07,
      "loss": 1.1169,
      "step": 5000
    },
    {
      "epoch": 0.2,
      "eval_accuracy": 0.3397205588822355,
      "eval_loss": 1.1033179759979248,
      "eval_runtime": 29.0295,
      "eval_samples_per_second": 172.583,
      "eval_steps_per_second": 21.599,
      "step": 5000
    },
    {
      "epoch": 0.24,
      "learning_rate": 1.6658333333333335e-07,
      "loss": 1.118,
      "step": 6000
    },
    {
      "epoch": 0.24,
      "eval_accuracy": 0.3401197604790419,
      "eval_loss": 1.1030455827713013,
      "eval_runtime": 28.9748,
      "eval_samples_per_second": 172.909,
      "eval_steps_per_second": 21.639,
      "step": 6000
    },
    {
      "epoch": 0.29,
      "learning_rate": 1.9433333333333334e-07,
      "loss": 1.1135,
      "step": 7000
    },
    {
      "epoch": 0.29,
      "eval_accuracy": 0.35568862275449104,
      "eval_loss": 1.0998502969741821,
      "eval_runtime": 28.9964,
      "eval_samples_per_second": 172.78,
      "eval_steps_per_second": 21.623,
      "step": 7000
    },
    {
      "epoch": 0.33,
      "learning_rate": 2.2211111111111114e-07,
      "loss": 1.1136,
      "step": 8000
    },
    {
      "epoch": 0.33,
      "eval_accuracy": 0.34510978043912177,
      "eval_loss": 1.098555564880371,
      "eval_runtime": 28.983,
      "eval_samples_per_second": 172.86,
      "eval_steps_per_second": 21.633,
      "step": 8000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10000000,
  "num_train_epochs": 408,
  "save_steps": 1000,
  "total_flos": 8361647013888000.0,
  "trial_name": null,
  "trial_params": null
}