Hugging Face's logo

cogint
/
in-boxbart

Text2Text Generation
Transformers
PyTorch
English
bart
biology
medical
language models
BioNLP
Inference Endpoints
Model card Files Community
3
in-boxbart
File size: 2,439 Bytes 
ed48599
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.9998104265402845,
  "global_step": 7911,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.19,
      "learning_rate": 4.683984325622551e-05,
      "loss": 0.7763,
      "step": 500
    },
    {
      "epoch": 0.38,
      "learning_rate": 4.367968651245102e-05,
      "loss": 0.4148,
      "step": 1000
    },
    {
      "epoch": 0.57,
      "learning_rate": 4.051952976867653e-05,
      "loss": 0.3387,
      "step": 1500
    },
    {
      "epoch": 0.76,
      "learning_rate": 3.7359373024902036e-05,
      "loss": 0.2855,
      "step": 2000
    },
    {
      "epoch": 0.95,
      "learning_rate": 3.4199216281127545e-05,
      "loss": 0.2469,
      "step": 2500
    },
    {
      "epoch": 1.14,
      "learning_rate": 3.1039059537353053e-05,
      "loss": 0.2117,
      "step": 3000
    },
    {
      "epoch": 1.33,
      "learning_rate": 2.7878902793578565e-05,
      "loss": 0.1833,
      "step": 3500
    },
    {
      "epoch": 1.52,
      "learning_rate": 2.471874604980407e-05,
      "loss": 0.1696,
      "step": 4000
    },
    {
      "epoch": 1.71,
      "learning_rate": 2.1558589306029582e-05,
      "loss": 0.1554,
      "step": 4500
    },
    {
      "epoch": 1.9,
      "learning_rate": 1.8398432562255087e-05,
      "loss": 0.1489,
      "step": 5000
    },
    {
      "epoch": 2.09,
      "learning_rate": 1.5238275818480596e-05,
      "loss": 0.1319,
      "step": 5500
    },
    {
      "epoch": 2.28,
      "learning_rate": 1.2078119074706106e-05,
      "loss": 0.1197,
      "step": 6000
    },
    {
      "epoch": 2.46,
      "learning_rate": 8.917962330931615e-06,
      "loss": 0.1158,
      "step": 6500
    },
    {
      "epoch": 2.65,
      "learning_rate": 5.757805587157123e-06,
      "loss": 0.1105,
      "step": 7000
    },
    {
      "epoch": 2.84,
      "learning_rate": 2.597648843382632e-06,
      "loss": 0.1057,
      "step": 7500
    },
    {
      "epoch": 3.0,
      "step": 7911,
      "total_flos": 2.962265039645184e+17,
      "train_loss": 0.22759322628271503,
      "train_runtime": 16489.6196,
      "train_samples_per_second": 30.708,
      "train_steps_per_second": 0.48
    }
  ],
  "max_steps": 7911,
  "num_train_epochs": 3,
  "total_flos": 2.962265039645184e+17,
  "trial_name": null,
  "trial_params": null
}