Hugging Face's logo

Meli
/
GPT2-Prompt

Text Generation
Transformers
PyTorch
JAX
English
gpt2
text-generation-inference
Inference Endpoints
Model card Files Community
1
GPT2-Prompt
File size: 3,496 Bytes 
fac8fc4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
147
148
149
150
151
152
153
154
155
156
157
158
159
160
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.9748106591865358,
  "global_step": 2200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.18,
      "learning_rate": 4.765037593984963e-05,
      "loss": 12.2573,
      "step": 200
    },
    {
      "epoch": 0.18,
      "eval_loss": 2.7165932655334473,
      "eval_runtime": 138.6905,
      "eval_samples_per_second": 13.483,
      "step": 200
    },
    {
      "epoch": 0.36,
      "learning_rate": 4.295112781954887e-05,
      "loss": 2.6565,
      "step": 400
    },
    {
      "epoch": 0.36,
      "eval_loss": 2.7028679847717285,
      "eval_runtime": 135.8765,
      "eval_samples_per_second": 13.762,
      "step": 400
    },
    {
      "epoch": 0.54,
      "learning_rate": 3.825187969924812e-05,
      "loss": 2.6054,
      "step": 600
    },
    {
      "epoch": 0.54,
      "eval_loss": 2.677929162979126,
      "eval_runtime": 138.76,
      "eval_samples_per_second": 13.477,
      "step": 600
    },
    {
      "epoch": 0.72,
      "learning_rate": 3.355263157894737e-05,
      "loss": 2.6296,
      "step": 800
    },
    {
      "epoch": 0.72,
      "eval_loss": 2.667823553085327,
      "eval_runtime": 138.8745,
      "eval_samples_per_second": 13.465,
      "step": 800
    },
    {
      "epoch": 0.9,
      "learning_rate": 2.8853383458646617e-05,
      "loss": 2.6148,
      "step": 1000
    },
    {
      "epoch": 0.9,
      "eval_loss": 2.6645262241363525,
      "eval_runtime": 138.612,
      "eval_samples_per_second": 13.491,
      "step": 1000
    },
    {
      "epoch": 1.08,
      "learning_rate": 2.4154135338345866e-05,
      "loss": 2.5843,
      "step": 1200
    },
    {
      "epoch": 1.08,
      "eval_loss": 2.6597423553466797,
      "eval_runtime": 138.5965,
      "eval_samples_per_second": 13.492,
      "step": 1200
    },
    {
      "epoch": 1.26,
      "learning_rate": 1.9454887218045115e-05,
      "loss": 2.5548,
      "step": 1400
    },
    {
      "epoch": 1.26,
      "eval_loss": 2.653554677963257,
      "eval_runtime": 138.5895,
      "eval_samples_per_second": 13.493,
      "step": 1400
    },
    {
      "epoch": 1.44,
      "learning_rate": 1.4755639097744361e-05,
      "loss": 2.5588,
      "step": 1600
    },
    {
      "epoch": 1.44,
      "eval_loss": 2.6523187160491943,
      "eval_runtime": 138.5665,
      "eval_samples_per_second": 13.495,
      "step": 1600
    },
    {
      "epoch": 1.62,
      "learning_rate": 1.005639097744361e-05,
      "loss": 2.5814,
      "step": 1800
    },
    {
      "epoch": 1.62,
      "eval_loss": 2.64888858795166,
      "eval_runtime": 138.6375,
      "eval_samples_per_second": 13.488,
      "step": 1800
    },
    {
      "epoch": 1.8,
      "learning_rate": 5.357142857142857e-06,
      "loss": 2.569,
      "step": 2000
    },
    {
      "epoch": 1.8,
      "eval_loss": 2.6475982666015625,
      "eval_runtime": 138.5945,
      "eval_samples_per_second": 13.493,
      "step": 2000
    },
    {
      "epoch": 1.97,
      "learning_rate": 6.578947368421053e-07,
      "loss": 2.5401,
      "step": 2200
    },
    {
      "epoch": 1.97,
      "eval_loss": 2.6439733505249023,
      "eval_runtime": 138.082,
      "eval_samples_per_second": 13.543,
      "step": 2200
    }
  ],
  "max_steps": 2228,
  "num_train_epochs": 2,
  "total_flos": 2.691387690319872e+16,
  "trial_name": null,
  "trial_params": null
}