Hugging Face's logo

tmnam20
/
gpt1_n-layer-16_xnli

Text Classification
Transformers
PyTorch
openai-gpt
Inference Endpoints
Model card Files Community
1
gpt1_n-layer-16_xnli
File size: 3,544 Bytes 
156a6cf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 1.098374843597412,
  "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": 1.2184,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 2.7750000000000004e-08,
      "loss": 1.1394,
      "step": 1000
    },
    {
      "epoch": 0.04,
      "eval_accuracy": 0.3327345309381238,
      "eval_loss": 1.1149410009384155,
      "eval_runtime": 20.6803,
      "eval_samples_per_second": 242.26,
      "eval_steps_per_second": 30.319,
      "step": 1000
    },
    {
      "epoch": 0.08,
      "learning_rate": 5.5527777777777784e-08,
      "loss": 1.1141,
      "step": 2000
    },
    {
      "epoch": 0.08,
      "eval_accuracy": 0.3401197604790419,
      "eval_loss": 1.104099988937378,
      "eval_runtime": 20.8477,
      "eval_samples_per_second": 240.314,
      "eval_steps_per_second": 30.075,
      "step": 2000
    },
    {
      "epoch": 0.12,
      "learning_rate": 8.330555555555556e-08,
      "loss": 1.116,
      "step": 3000
    },
    {
      "epoch": 0.12,
      "eval_accuracy": 0.3407185628742515,
      "eval_loss": 1.1040862798690796,
      "eval_runtime": 20.6818,
      "eval_samples_per_second": 242.242,
      "eval_steps_per_second": 30.317,
      "step": 3000
    },
    {
      "epoch": 0.16,
      "learning_rate": 1.1108333333333333e-07,
      "loss": 1.1158,
      "step": 4000
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.32894211576846305,
      "eval_loss": 1.1020556688308716,
      "eval_runtime": 20.8541,
      "eval_samples_per_second": 240.241,
      "eval_steps_per_second": 30.066,
      "step": 4000
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.3883333333333335e-07,
      "loss": 1.1135,
      "step": 5000
    },
    {
      "epoch": 0.2,
      "eval_accuracy": 0.34271457085828344,
      "eval_loss": 1.1008552312850952,
      "eval_runtime": 20.8055,
      "eval_samples_per_second": 240.802,
      "eval_steps_per_second": 30.136,
      "step": 5000
    },
    {
      "epoch": 0.24,
      "learning_rate": 1.6658333333333335e-07,
      "loss": 1.1121,
      "step": 6000
    },
    {
      "epoch": 0.24,
      "eval_accuracy": 0.3395209580838323,
      "eval_loss": 1.1004050970077515,
      "eval_runtime": 20.8985,
      "eval_samples_per_second": 239.731,
      "eval_steps_per_second": 30.002,
      "step": 6000
    },
    {
      "epoch": 0.29,
      "learning_rate": 1.9436111111111112e-07,
      "loss": 1.1089,
      "step": 7000
    },
    {
      "epoch": 0.29,
      "eval_accuracy": 0.35788423153692617,
      "eval_loss": 1.0985721349716187,
      "eval_runtime": 20.84,
      "eval_samples_per_second": 240.403,
      "eval_steps_per_second": 30.086,
      "step": 7000
    },
    {
      "epoch": 0.33,
      "learning_rate": 2.2213888888888891e-07,
      "loss": 1.1079,
      "step": 8000
    },
    {
      "epoch": 0.33,
      "eval_accuracy": 0.3331337325349301,
      "eval_loss": 1.098374843597412,
      "eval_runtime": 20.7886,
      "eval_samples_per_second": 240.998,
      "eval_steps_per_second": 30.161,
      "step": 8000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10000000,
  "num_train_epochs": 408,
  "save_steps": 1000,
  "total_flos": 5574582337536000.0,
  "trial_name": null,
  "trial_params": null
}