Hugging Face's logo

jmamou
/
gpt2-medium-IMDB

Text Generation
Transformers
PyTorch
gpt2
text-generation-inference
Inference Endpoints
Model card Files Community
gpt2-medium-IMDB
File size: 2,179 Bytes 
95d3921
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "global_step": 7417,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.07,
      "learning_rate": 4.6629364972360795e-05,
      "loss": 3.4842,
      "step": 500
    },
    {
      "epoch": 0.13,
      "learning_rate": 4.325872994472159e-05,
      "loss": 3.4358,
      "step": 1000
    },
    {
      "epoch": 0.2,
      "learning_rate": 3.988809491708238e-05,
      "loss": 3.4252,
      "step": 1500
    },
    {
      "epoch": 0.27,
      "learning_rate": 3.6517459889443174e-05,
      "loss": 3.3965,
      "step": 2000
    },
    {
      "epoch": 0.34,
      "learning_rate": 3.314682486180397e-05,
      "loss": 3.3921,
      "step": 2500
    },
    {
      "epoch": 0.4,
      "learning_rate": 2.977618983416476e-05,
      "loss": 3.3917,
      "step": 3000
    },
    {
      "epoch": 0.47,
      "learning_rate": 2.6405554806525552e-05,
      "loss": 3.3715,
      "step": 3500
    },
    {
      "epoch": 0.54,
      "learning_rate": 2.3034919778886342e-05,
      "loss": 3.3522,
      "step": 4000
    },
    {
      "epoch": 0.61,
      "learning_rate": 1.9664284751247135e-05,
      "loss": 3.354,
      "step": 4500
    },
    {
      "epoch": 0.67,
      "learning_rate": 1.6293649723607928e-05,
      "loss": 3.3391,
      "step": 5000
    },
    {
      "epoch": 0.74,
      "learning_rate": 1.2923014695968722e-05,
      "loss": 3.3427,
      "step": 5500
    },
    {
      "epoch": 0.81,
      "learning_rate": 9.552379668329513e-06,
      "loss": 3.3244,
      "step": 6000
    },
    {
      "epoch": 0.88,
      "learning_rate": 6.181744640690306e-06,
      "loss": 3.3286,
      "step": 6500
    },
    {
      "epoch": 0.94,
      "learning_rate": 2.811109613051099e-06,
      "loss": 3.3197,
      "step": 7000
    },
    {
      "epoch": 1.0,
      "step": 7417,
      "total_flos": 0,
      "train_runtime": 4429.0691,
      "train_samples_per_second": 1.675
    }
  ],
  "max_steps": 7417,
  "num_train_epochs": 1,
  "total_flos": 0,
  "trial_name": null,
  "trial_params": null
}