Hugging Face's logo

imvladikon
/
t5-english-ner

Token Classification
Transformers
PyTorch
t5
Generated from Trainer
custom_code
text-generation-inference
Inference Endpoints
Model card Files Community
1
t5-english-ner
File size: 5,079 Bytes 
f6b8a39
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
    "epoch": 3.0,
    "eval_COMMERCIAL_ITEM_f1": 0.0,
    "eval_COMMERCIAL_ITEM_number": 1,
    "eval_COMMERCIAL_ITEM_precision": 0.0,
    "eval_COMMERCIAL_ITEM_recall": 0.0,
    "eval_DATE_f1": 0.8666666666666666,
    "eval_DATE_number": 14,
    "eval_DATE_precision": 0.8125,
    "eval_DATE_recall": 0.9285714285714286,
    "eval_LOCATION_f1": 0.7317073170731706,
    "eval_LOCATION_number": 20,
    "eval_LOCATION_precision": 0.7142857142857143,
    "eval_LOCATION_recall": 0.75,
    "eval_ORGANIZATION_f1": 0.8848484848484848,
    "eval_ORGANIZATION_number": 80,
    "eval_ORGANIZATION_precision": 0.8588235294117647,
    "eval_ORGANIZATION_recall": 0.9125,
    "eval_OTHER_f1": 0.35,
    "eval_OTHER_number": 21,
    "eval_OTHER_precision": 0.3684210526315789,
    "eval_OTHER_recall": 0.3333333333333333,
    "eval_PERSON_f1": 0.8709677419354839,
    "eval_PERSON_number": 29,
    "eval_PERSON_precision": 0.8181818181818182,
    "eval_PERSON_recall": 0.9310344827586207,
    "eval_QUANTITY_f1": 0.8275862068965518,
    "eval_QUANTITY_number": 14,
    "eval_QUANTITY_precision": 0.8,
    "eval_QUANTITY_recall": 0.8571428571428571,
    "eval_TITLE_f1": 0.0,
    "eval_TITLE_number": 7,
    "eval_TITLE_precision": 0.0,
    "eval_TITLE_recall": 0.0,
    "eval_loss": 0.19558680057525635,
    "eval_overall_accuracy": 0.9534472598703595,
    "eval_overall_f1": 0.7696335078534032,
    "eval_overall_precision": 0.75,
    "eval_overall_recall": 0.7903225806451613,
    "eval_runtime": 14.8553,
    "eval_samples": 35,
    "eval_samples_per_second": 2.356,
    "eval_steps_per_second": 1.212,
    "predict_DATE_f1": 0.9714285714285714,
    "predict_DATE_number": 18,
    "predict_DATE_precision": 1.0,
    "predict_DATE_recall": 0.9444444444444444,
    "predict_LOCATION_f1": 0.6666666666666666,
    "predict_LOCATION_number": 9,
    "predict_LOCATION_precision": 0.6666666666666666,
    "predict_LOCATION_recall": 0.6666666666666666,
    "predict_ORGANIZATION_f1": 0.9548387096774195,
    "predict_ORGANIZATION_number": 78,
    "predict_ORGANIZATION_precision": 0.961038961038961,
    "predict_ORGANIZATION_recall": 0.9487179487179487,
    "predict_OTHER_f1": 0.5490196078431373,
    "predict_OTHER_number": 24,
    "predict_OTHER_precision": 0.5185185185185185,
    "predict_OTHER_recall": 0.5833333333333334,
    "predict_PERSON_f1": 0.8518518518518519,
    "predict_PERSON_number": 55,
    "predict_PERSON_precision": 0.8679245283018868,
    "predict_PERSON_recall": 0.8363636363636363,
    "predict_QUANTITY_f1": 0.8620689655172413,
    "predict_QUANTITY_number": 28,
    "predict_QUANTITY_precision": 0.8333333333333334,
    "predict_QUANTITY_recall": 0.8928571428571429,
    "predict_TITLE_f1": 0.11764705882352941,
    "predict_TITLE_number": 10,
    "predict_TITLE_precision": 0.14285714285714285,
    "predict_TITLE_recall": 0.1,
    "predict_loss": 0.1715492457151413,
    "predict_overall_accuracy": 0.968184311574328,
    "predict_overall_f1": 0.8280542986425339,
    "predict_overall_precision": 0.8318181818181818,
    "predict_overall_recall": 0.8243243243243243,
    "predict_runtime": 19.7294,
    "predict_samples_per_second": 1.825,
    "predict_steps_per_second": 0.912,
    "train_COMMERCIAL_ITEM_f1": 0.0,
    "train_COMMERCIAL_ITEM_number": 7,
    "train_COMMERCIAL_ITEM_precision": 0.0,
    "train_COMMERCIAL_ITEM_recall": 0.0,
    "train_DATE_f1": 0.9695682944090589,
    "train_DATE_number": 701,
    "train_DATE_precision": 0.9620786516853933,
    "train_DATE_recall": 0.9771754636233951,
    "train_EVENT_f1": 0.0,
    "train_EVENT_number": 22,
    "train_EVENT_precision": 0.0,
    "train_EVENT_recall": 0.0,
    "train_LOCATION_f1": 0.8890041493775933,
    "train_LOCATION_number": 961,
    "train_LOCATION_precision": 0.8862461220268872,
    "train_LOCATION_recall": 0.8917793964620188,
    "train_ORGANIZATION_f1": 0.9276817999196465,
    "train_ORGANIZATION_number": 2468,
    "train_ORGANIZATION_precision": 0.9199203187250996,
    "train_ORGANIZATION_recall": 0.9355753646677472,
    "train_OTHER_f1": 0.5381083562901744,
    "train_OTHER_number": 1083,
    "train_OTHER_precision": 0.5351598173515981,
    "train_OTHER_recall": 0.541089566020314,
    "train_PERSON_f1": 0.9191374663072777,
    "train_PERSON_number": 1449,
    "train_PERSON_precision": 0.8979591836734694,
    "train_PERSON_recall": 0.9413388543823327,
    "train_QUANTITY_f1": 0.9049150206706478,
    "train_QUANTITY_number": 1067,
    "train_QUANTITY_precision": 0.8873873873873874,
    "train_QUANTITY_recall": 0.9231490159325211,
    "train_TITLE_f1": 0.19230769230769232,
    "train_TITLE_number": 264,
    "train_TITLE_precision": 0.22058823529411764,
    "train_TITLE_recall": 0.17045454545454544,
    "train_loss": 0.14113017916679382,
    "train_overall_accuracy": 0.9713395552737148,
    "train_overall_f1": 0.8465208501146292,
    "train_overall_precision": 0.8415670814340274,
    "train_overall_recall": 0.8515332834704562,
    "train_runtime": 701.7841,
    "train_samples": 1416,
    "train_samples_per_second": 2.018,
    "train_steps_per_second": 1.009
}