Hugging Face's logo

dh-unibe
/
gpt2-larger-luther

Text Generation
Transformers
PyTorch
Safetensors
German
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
1
gpt2-larger-luther
File size: 4,323 Bytes 
4c654dd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
161
162
163
164
165
166
167
168
169
170
 
{
  "best_metric": 3.5847387313842773,
  "best_model_checkpoint": "./models/22_12_13_luther_blocks_larger_fp16_20ep/checkpoint-400",
  "epoch": 19.984126984126984,
  "global_step": 620,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.6,
      "eval_accuracy": 0.21560707501060514,
      "eval_loss": 4.621785640716553,
      "eval_runtime": 1.1004,
      "eval_samples_per_second": 48.163,
      "eval_steps_per_second": 6.361,
      "step": 50
    },
    {
      "epoch": 3.22,
      "learning_rate": 4.2338709677419356e-05,
      "loss": 8.1175,
      "step": 100
    },
    {
      "epoch": 3.22,
      "eval_accuracy": 0.263284088603626,
      "eval_loss": 4.0403876304626465,
      "eval_runtime": 1.1008,
      "eval_samples_per_second": 48.145,
      "eval_steps_per_second": 6.359,
      "step": 100
    },
    {
      "epoch": 4.83,
      "eval_accuracy": 0.28707648610265774,
      "eval_loss": 3.8119544982910156,
      "eval_runtime": 1.1015,
      "eval_samples_per_second": 48.117,
      "eval_steps_per_second": 6.355,
      "step": 150
    },
    {
      "epoch": 6.44,
      "learning_rate": 3.427419354838709e-05,
      "loss": 3.734,
      "step": 200
    },
    {
      "epoch": 6.44,
      "eval_accuracy": 0.299655102454859,
      "eval_loss": 3.7062137126922607,
      "eval_runtime": 1.1015,
      "eval_samples_per_second": 48.116,
      "eval_steps_per_second": 6.355,
      "step": 200
    },
    {
      "epoch": 8.06,
      "eval_accuracy": 0.3081576569099393,
      "eval_loss": 3.638169765472412,
      "eval_runtime": 1.1008,
      "eval_samples_per_second": 48.148,
      "eval_steps_per_second": 6.359,
      "step": 250
    },
    {
      "epoch": 9.67,
      "learning_rate": 2.620967741935484e-05,
      "loss": 3.3639,
      "step": 300
    },
    {
      "epoch": 9.67,
      "eval_accuracy": 0.3127685866578137,
      "eval_loss": 3.610761880874634,
      "eval_runtime": 1.1014,
      "eval_samples_per_second": 48.121,
      "eval_steps_per_second": 6.356,
      "step": 300
    },
    {
      "epoch": 11.29,
      "eval_accuracy": 0.31479739574687843,
      "eval_loss": 3.6012349128723145,
      "eval_runtime": 1.1022,
      "eval_samples_per_second": 48.084,
      "eval_steps_per_second": 6.351,
      "step": 350
    },
    {
      "epoch": 12.89,
      "learning_rate": 1.8145161290322583e-05,
      "loss": 3.1363,
      "step": 400
    },
    {
      "epoch": 12.89,
      "eval_accuracy": 0.31680776111695164,
      "eval_loss": 3.5847387313842773,
      "eval_runtime": 1.1008,
      "eval_samples_per_second": 48.147,
      "eval_steps_per_second": 6.359,
      "step": 400
    },
    {
      "epoch": 14.51,
      "eval_accuracy": 0.31802504657039044,
      "eval_loss": 3.5913662910461426,
      "eval_runtime": 1.0976,
      "eval_samples_per_second": 48.286,
      "eval_steps_per_second": 6.377,
      "step": 450
    },
    {
      "epoch": 16.13,
      "learning_rate": 1.0080645161290323e-05,
      "loss": 2.9884,
      "step": 500
    },
    {
      "epoch": 16.13,
      "eval_accuracy": 0.317711503347535,
      "eval_loss": 3.5954136848449707,
      "eval_runtime": 1.0979,
      "eval_samples_per_second": 48.272,
      "eval_steps_per_second": 6.376,
      "step": 500
    },
    {
      "epoch": 17.73,
      "eval_accuracy": 0.317563953595603,
      "eval_loss": 3.600076675415039,
      "eval_runtime": 1.1024,
      "eval_samples_per_second": 48.075,
      "eval_steps_per_second": 6.35,
      "step": 550
    },
    {
      "epoch": 19.35,
      "learning_rate": 2.0161290322580646e-06,
      "loss": 2.8748,
      "step": 600
    },
    {
      "epoch": 19.35,
      "eval_accuracy": 0.31879968276803333,
      "eval_loss": 3.604796886444092,
      "eval_runtime": 1.1023,
      "eval_samples_per_second": 48.08,
      "eval_steps_per_second": 6.35,
      "step": 600
    },
    {
      "epoch": 19.98,
      "step": 620,
      "total_flos": 5223750303744000.0,
      "train_loss": 3.996271416448778,
      "train_runtime": 495.8533,
      "train_samples_per_second": 20.167,
      "train_steps_per_second": 1.25
    }
  ],
  "max_steps": 620,
  "num_train_epochs": 20,
  "total_flos": 5223750303744000.0,
  "trial_name": null,
  "trial_params": null
}