asahi417 commited on
Commit
f8046a4
1 Parent(s): 4c71791

model update

Browse files
Files changed (1) hide show
  1. README.md +21 -29
README.md CHANGED
@@ -12,70 +12,62 @@ model-index:
12
  name: Token Classification
13
  type: token-classification
14
  dataset:
15
- name: tner/tweetner7/test_2021
16
- type: tner/tweetner7/test_2021
17
- args: tner/tweetner7/test_2021
18
  metrics:
19
- - name: F1
20
  type: f1
21
  value: 0.6486182247987844
22
- - name: Precision
23
  type: precision
24
  value: 0.6318675293343569
25
- - name: Recall
26
  type: recall
27
  value: 0.6662812210915818
28
- - name: F1 (macro)
29
  type: f1_macro
30
  value: 0.604868641257225
31
- - name: Precision (macro)
32
  type: precision_macro
33
  value: 0.589818811310092
34
- - name: Recall (macro)
35
  type: recall_macro
36
  value: 0.6244372176840122
37
- - name: F1 (entity span)
38
  type: f1_entity_span
39
  value: 0.7843071034560397
40
- - name: Precision (entity span)
41
  type: precision_entity_span
42
  value: 0.7640092115363527
43
- - name: Recall (entity span)
44
  type: recall_entity_span
45
  value: 0.8057129640337689
46
- - task:
47
- name: Token Classification
48
- type: token-classification
49
- dataset:
50
- name: tner/tweetner7/test_2020
51
- type: tner/tweetner7/test_2020
52
- args: tner/tweetner7/test_2020
53
- metrics:
54
- - name: F1
55
  type: f1
56
  value: 0.6602409638554216
57
- - name: Precision
58
  type: precision
59
  value: 0.6819690265486725
60
- - name: Recall
61
  type: recall
62
  value: 0.6398546964193046
63
- - name: F1 (macro)
64
  type: f1_macro
65
  value: 0.6271520713994495
66
- - name: Precision (macro)
67
  type: precision_macro
68
  value: 0.652241965435762
69
- - name: Recall (macro)
70
  type: recall_macro
71
  value: 0.6095524645700295
72
- - name: F1 (entity span)
73
  type: f1_entity_span
74
  value: 0.7720332172515403
75
- - name: Precision (entity span)
76
  type: precision_entity_span
77
  value: 0.7978959025470653
78
- - name: Recall (entity span)
79
  type: recall_entity_span
80
  value: 0.7477944992215879
81
 
 
12
  name: Token Classification
13
  type: token-classification
14
  dataset:
15
+ name: tner/tweetner7
16
+ type: tner/tweetner7
17
+ args: tner/tweetner7
18
  metrics:
19
+ - name: F1 (test_2021)
20
  type: f1
21
  value: 0.6486182247987844
22
+ - name: Precision (test_2021)
23
  type: precision
24
  value: 0.6318675293343569
25
+ - name: Recall (test_2021)
26
  type: recall
27
  value: 0.6662812210915818
28
+ - name: Macro F1 (test_2021)
29
  type: f1_macro
30
  value: 0.604868641257225
31
+ - name: Macro Precision (test_2021)
32
  type: precision_macro
33
  value: 0.589818811310092
34
+ - name: Macro Recall (test_2021)
35
  type: recall_macro
36
  value: 0.6244372176840122
37
+ - name: Entity Span F1 (test_2021)
38
  type: f1_entity_span
39
  value: 0.7843071034560397
40
+ - name: Entity Span Precision (test_2020)
41
  type: precision_entity_span
42
  value: 0.7640092115363527
43
+ - name: Entity Span Recall (test_2021)
44
  type: recall_entity_span
45
  value: 0.8057129640337689
46
+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
47
  type: f1
48
  value: 0.6602409638554216
49
+ - name: Precision (test_2020)
50
  type: precision
51
  value: 0.6819690265486725
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6398546964193046
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6271520713994495
58
+ - name: Macro Precision (test_2020)
59
  type: precision_macro
60
  value: 0.652241965435762
61
+ - name: Macro Recall (test_2020)
62
  type: recall_macro
63
  value: 0.6095524645700295
64
+ - name: Entity Span F1 (test_2020)
65
  type: f1_entity_span
66
  value: 0.7720332172515403
67
+ - name: Entity Span Precision (test_2020)
68
  type: precision_entity_span
69
  value: 0.7978959025470653
70
+ - name: Entity Span Recall (test_2020)
71
  type: recall_entity_span
72
  value: 0.7477944992215879
73