Hugging Face's logo

nlp04
/
gpt_16_4_3e-5_lp5_nb5

Text Generation
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
gpt_16_4_3e-5_lp5_nb5
File size: 3,862 Bytes 
f01d634
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 3.8871757984161377,
  "best_model_checkpoint": "./models/gpt_test9/checkpoint-10000",
  "epoch": 4.0,
  "global_step": 10592,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.38,
      "learning_rate": 2.830188679245283e-05,
      "loss": 3.311,
      "step": 1000
    },
    {
      "epoch": 0.38,
      "eval_loss": 4.033947467803955,
      "eval_runtime": 6.7632,
      "eval_samples_per_second": 63.432,
      "eval_steps_per_second": 3.992,
      "step": 1000
    },
    {
      "epoch": 0.76,
      "learning_rate": 2.7041544271926144e-05,
      "loss": 3.1133,
      "step": 2000
    },
    {
      "epoch": 0.76,
      "eval_loss": 3.9776785373687744,
      "eval_runtime": 6.7558,
      "eval_samples_per_second": 63.501,
      "eval_steps_per_second": 3.997,
      "step": 2000
    },
    {
      "epoch": 1.13,
      "learning_rate": 2.3894250944187998e-05,
      "loss": 2.9875,
      "step": 3000
    },
    {
      "epoch": 1.13,
      "eval_loss": 3.9545652866363525,
      "eval_runtime": 6.7588,
      "eval_samples_per_second": 63.472,
      "eval_steps_per_second": 3.995,
      "step": 3000
    },
    {
      "epoch": 1.51,
      "learning_rate": 2.0746957616449853e-05,
      "loss": 2.8697,
      "step": 4000
    },
    {
      "epoch": 1.51,
      "eval_loss": 3.9269347190856934,
      "eval_runtime": 6.7568,
      "eval_samples_per_second": 63.491,
      "eval_steps_per_second": 3.996,
      "step": 4000
    },
    {
      "epoch": 1.89,
      "learning_rate": 1.759966428871171e-05,
      "loss": 2.8669,
      "step": 5000
    },
    {
      "epoch": 1.89,
      "eval_loss": 3.915926933288574,
      "eval_runtime": 6.7665,
      "eval_samples_per_second": 63.401,
      "eval_steps_per_second": 3.99,
      "step": 5000
    },
    {
      "epoch": 2.27,
      "learning_rate": 1.4452370960973563e-05,
      "loss": 2.7308,
      "step": 6000
    },
    {
      "epoch": 2.27,
      "eval_loss": 3.9065561294555664,
      "eval_runtime": 6.7494,
      "eval_samples_per_second": 63.562,
      "eval_steps_per_second": 4.0,
      "step": 6000
    },
    {
      "epoch": 2.64,
      "learning_rate": 1.1305077633235418e-05,
      "loss": 2.709,
      "step": 7000
    },
    {
      "epoch": 2.64,
      "eval_loss": 3.899543285369873,
      "eval_runtime": 6.761,
      "eval_samples_per_second": 63.452,
      "eval_steps_per_second": 3.993,
      "step": 7000
    },
    {
      "epoch": 3.02,
      "learning_rate": 8.157784305497272e-06,
      "loss": 2.6979,
      "step": 8000
    },
    {
      "epoch": 3.02,
      "eval_loss": 3.8976171016693115,
      "eval_runtime": 6.7563,
      "eval_samples_per_second": 63.496,
      "eval_steps_per_second": 3.996,
      "step": 8000
    },
    {
      "epoch": 3.4,
      "learning_rate": 5.010490977759127e-06,
      "loss": 2.5878,
      "step": 9000
    },
    {
      "epoch": 3.4,
      "eval_loss": 3.897768020629883,
      "eval_runtime": 6.7533,
      "eval_samples_per_second": 63.524,
      "eval_steps_per_second": 3.998,
      "step": 9000
    },
    {
      "epoch": 3.78,
      "learning_rate": 1.863197650020982e-06,
      "loss": 2.5824,
      "step": 10000
    },
    {
      "epoch": 3.78,
      "eval_loss": 3.8871757984161377,
      "eval_runtime": 6.7573,
      "eval_samples_per_second": 63.487,
      "eval_steps_per_second": 3.996,
      "step": 10000
    },
    {
      "epoch": 4.0,
      "step": 10592,
      "total_flos": 4.4280638078976e+16,
      "train_loss": 2.831424217569864,
      "train_runtime": 8708.1966,
      "train_samples_per_second": 19.461,
      "train_steps_per_second": 1.216
    }
  ],
  "max_steps": 10592,
  "num_train_epochs": 4,
  "total_flos": 4.4280638078976e+16,
  "trial_name": null,
  "trial_params": null
}