Hugging Face's logo

xiulinyang
/
GPT2_AR_50000

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Model card Files
xet
 Community
GPT2_AR_50000
File size: 4,635 Bytes
e3c1422
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
171
172
173
174
175
176
177
178
179
180
181
182
183
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 7860,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.15867776389314597,
      "eval_loss": 6.794844150543213,
      "eval_runtime": 6.6858,
      "eval_samples_per_second": 24.829,
      "eval_steps_per_second": 0.897,
      "step": 786
    },
    {
      "epoch": 1.272264631043257,
      "grad_norm": 11287.4306640625,
      "learning_rate": 0.0005993999999999999,
      "loss": 1.6643,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.173225190389739,
      "eval_loss": 6.429712295532227,
      "eval_runtime": 5.2622,
      "eval_samples_per_second": 31.546,
      "eval_steps_per_second": 1.14,
      "step": 1572
    },
    {
      "epoch": 2.544529262086514,
      "grad_norm": 9641.5859375,
      "learning_rate": 0.0005126239067055393,
      "loss": 1.466,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.18816164855115178,
      "eval_loss": 6.129866123199463,
      "eval_runtime": 5.4576,
      "eval_samples_per_second": 30.416,
      "eval_steps_per_second": 1.099,
      "step": 2358
    },
    {
      "epoch": 3.816793893129771,
      "grad_norm": 9910.599609375,
      "learning_rate": 0.00042516034985422735,
      "loss": 1.3707,
      "step": 3000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.1985358262796784,
      "eval_loss": 5.971755027770996,
      "eval_runtime": 5.5163,
      "eval_samples_per_second": 30.093,
      "eval_steps_per_second": 1.088,
      "step": 3144
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.2067880131091882,
      "eval_loss": 5.8568878173828125,
      "eval_runtime": 5.2842,
      "eval_samples_per_second": 31.414,
      "eval_steps_per_second": 1.135,
      "step": 3930
    },
    {
      "epoch": 5.089058524173028,
      "grad_norm": 10377.1337890625,
      "learning_rate": 0.00033769679300291546,
      "loss": 1.308,
      "step": 4000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.21243486666823852,
      "eval_loss": 5.761693000793457,
      "eval_runtime": 5.5936,
      "eval_samples_per_second": 29.677,
      "eval_steps_per_second": 1.073,
      "step": 4716
    },
    {
      "epoch": 6.361323155216285,
      "grad_norm": 11166.55078125,
      "learning_rate": 0.00025023323615160347,
      "loss": 1.2627,
      "step": 5000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.2184118077004692,
      "eval_loss": 5.693126201629639,
      "eval_runtime": 5.4671,
      "eval_samples_per_second": 30.363,
      "eval_steps_per_second": 1.097,
      "step": 5502
    },
    {
      "epoch": 7.633587786259542,
      "grad_norm": 11332.716796875,
      "learning_rate": 0.00016276967930029153,
      "loss": 1.2279,
      "step": 6000
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.2233277532831915,
      "eval_loss": 5.635900974273682,
      "eval_runtime": 5.6909,
      "eval_samples_per_second": 29.169,
      "eval_steps_per_second": 1.054,
      "step": 6288
    },
    {
      "epoch": 8.9058524173028,
      "grad_norm": 11919.126953125,
      "learning_rate": 7.530612244897959e-05,
      "loss": 1.1974,
      "step": 7000
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.22648716195506094,
      "eval_loss": 5.598357677459717,
      "eval_runtime": 5.3666,
      "eval_samples_per_second": 30.932,
      "eval_steps_per_second": 1.118,
      "step": 7074
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.2284676867941433,
      "eval_loss": 5.574704170227051,
      "eval_runtime": 5.4915,
      "eval_samples_per_second": 30.229,
      "eval_steps_per_second": 1.093,
      "step": 7860
    },
    {
      "epoch": 10.0,
      "step": 7860,
      "total_flos": 6.569404268544e+16,
      "train_loss": 1.3368007669618718,
      "train_runtime": 10231.0545,
      "train_samples_per_second": 24.574,
      "train_steps_per_second": 0.768
    }
  ],
  "logging_steps": 1000,
  "max_steps": 7860,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 6.569404268544e+16,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}