Hugging Face's logo

ireneli1024
/
bart-large-elife-finetuned

Text2Text Generation
Transformers
PyTorch
bart
Inference Endpoints
Model card Files Community
1
bart-large-elife-finetuned
File size: 2,735 Bytes 
0f60eda
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 19.455252918287936,
  "global_step": 10000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.97,
      "learning_rate": 1e-05,
      "loss": 2.8118,
      "step": 500
    },
    {
      "epoch": 1.95,
      "learning_rate": 2e-05,
      "loss": 2.4654,
      "step": 1000
    },
    {
      "epoch": 2.92,
      "learning_rate": 1.888888888888889e-05,
      "loss": 2.3309,
      "step": 1500
    },
    {
      "epoch": 3.89,
      "learning_rate": 1.7777777777777777e-05,
      "loss": 2.2215,
      "step": 2000
    },
    {
      "epoch": 4.86,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 2.1339,
      "step": 2500
    },
    {
      "epoch": 5.84,
      "learning_rate": 1.555555555555556e-05,
      "loss": 2.0631,
      "step": 3000
    },
    {
      "epoch": 6.81,
      "learning_rate": 1.4444444444444446e-05,
      "loss": 1.996,
      "step": 3500
    },
    {
      "epoch": 7.78,
      "learning_rate": 1.3333333333333333e-05,
      "loss": 1.9465,
      "step": 4000
    },
    {
      "epoch": 8.75,
      "learning_rate": 1.2222222222222224e-05,
      "loss": 1.8886,
      "step": 4500
    },
    {
      "epoch": 9.73,
      "learning_rate": 1.1111111111111113e-05,
      "loss": 1.8507,
      "step": 5000
    },
    {
      "epoch": 10.7,
      "learning_rate": 1e-05,
      "loss": 1.8059,
      "step": 5500
    },
    {
      "epoch": 11.67,
      "learning_rate": 8.888888888888888e-06,
      "loss": 1.77,
      "step": 6000
    },
    {
      "epoch": 12.65,
      "learning_rate": 7.77777777777778e-06,
      "loss": 1.7359,
      "step": 6500
    },
    {
      "epoch": 13.62,
      "learning_rate": 6.666666666666667e-06,
      "loss": 1.7084,
      "step": 7000
    },
    {
      "epoch": 14.59,
      "learning_rate": 5.555555555555557e-06,
      "loss": 1.685,
      "step": 7500
    },
    {
      "epoch": 15.56,
      "learning_rate": 4.444444444444444e-06,
      "loss": 1.6599,
      "step": 8000
    },
    {
      "epoch": 16.54,
      "learning_rate": 3.3333333333333333e-06,
      "loss": 1.6413,
      "step": 8500
    },
    {
      "epoch": 17.51,
      "learning_rate": 2.222222222222222e-06,
      "loss": 1.6267,
      "step": 9000
    },
    {
      "epoch": 18.48,
      "learning_rate": 1.111111111111111e-06,
      "loss": 1.6128,
      "step": 9500
    },
    {
      "epoch": 19.46,
      "learning_rate": 0.0,
      "loss": 1.6036,
      "step": 10000
    }
  ],
  "max_steps": 10000,
  "num_train_epochs": 20,
  "total_flos": 1.730801432568791e+17,
  "trial_name": null,
  "trial_params": null
}