Hugging Face's logo

Blaise-g
/
longt5_tglobal_large_sumpubmed

Summarization
Transformers
PyTorch
Safetensors
English
longt5
text2text-generation
biomedical papers
Inference Endpoints
Model card Files Community
2
longt5_tglobal_large_sumpubmed
File size: 3,213 Bytes 
a678832
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.43077864463821325,
  "global_step": 88,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02,
      "learning_rate": 0.000980392156862745,
      "loss": 2.5451,
      "step": 4
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0009607843137254903,
      "loss": 2.4286,
      "step": 8
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0009411764705882353,
      "loss": 2.3441,
      "step": 12
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0009215686274509804,
      "loss": 2.2542,
      "step": 16
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0009019607843137256,
      "loss": 2.2205,
      "step": 20
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0008823529411764706,
      "loss": 2.294,
      "step": 24
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0008627450980392158,
      "loss": 2.2184,
      "step": 28
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0008431372549019609,
      "loss": 2.2811,
      "step": 32
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0008235294117647058,
      "loss": 2.2013,
      "step": 36
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.000803921568627451,
      "loss": 2.2134,
      "step": 40
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.000784313725490196,
      "loss": 2.1704,
      "step": 44
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0007647058823529411,
      "loss": 2.2088,
      "step": 48
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0007450980392156863,
      "loss": 2.1733,
      "step": 52
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0007254901960784313,
      "loss": 2.1753,
      "step": 56
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0007058823529411765,
      "loss": 2.1444,
      "step": 60
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0006862745098039216,
      "loss": 2.1432,
      "step": 64
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0006666666666666666,
      "loss": 2.1687,
      "step": 68
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0006470588235294118,
      "loss": 2.1211,
      "step": 72
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0006274509803921569,
      "loss": 2.1503,
      "step": 76
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0006078431372549019,
      "loss": 2.1357,
      "step": 80
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.0005980392156862745,
      "loss": 2.1429,
      "step": 82
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0005882352941176471,
      "loss": 2.0443,
      "step": 84
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0005784313725490196,
      "loss": 2.0832,
      "step": 86
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0005686274509803922,
      "loss": 2.1285,
      "step": 88
    }
  ],
  "max_steps": 204,
  "num_train_epochs": 1,
  "total_flos": 3.8867912194535424e+17,
  "trial_name": null,
  "trial_params": null
}