Librarian Bot: Add base_model information to model

#1
Files changed (1) hide show
  1. README.md +43 -42
README.md CHANGED
@@ -5,76 +5,77 @@ metrics:
5
  - f1
6
  - precision
7
  - recall
 
 
 
 
 
 
8
  model-index:
9
  - name: tner/bert-large-tweetner7-2020
10
  results:
11
  - task:
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: 0.6142662426169924
22
- - name: Precision (test_2021)
23
- type: precision
24
  value: 0.6035714285714285
25
- - name: Recall (test_2021)
26
- type: recall
27
  value: 0.6253469010175763
28
- - name: Macro F1 (test_2021)
29
- type: f1_macro
30
  value: 0.5614355349295936
31
- - name: Macro Precision (test_2021)
32
- type: precision_macro
33
  value: 0.5513691216732639
34
- - name: Macro Recall (test_2021)
35
- type: recall_macro
36
  value: 0.5731091951352001
37
- - name: Entity Span F1 (test_2021)
38
- type: f1_entity_span
39
  value: 0.7585501647540052
40
- - name: Entity Span Precision (test_2020)
41
- type: precision_entity_span
42
  value: 0.7455053042992742
43
- - name: Entity Span Recall (test_2021)
44
- type: recall_entity_span
45
  value: 0.7720596738753325
46
- - name: F1 (test_2020)
47
- type: f1
48
  value: 0.6218623481781376
49
- - name: Precision (test_2020)
50
- type: precision
51
  value: 0.6479190101237345
52
- - name: Recall (test_2020)
53
- type: recall
54
  value: 0.5978204462895693
55
- - name: Macro F1 (test_2020)
56
- type: f1_macro
57
  value: 0.5814516218649598
58
- - name: Macro Precision (test_2020)
59
- type: precision_macro
60
  value: 0.6074235531058303
61
- - name: Macro Recall (test_2020)
62
- type: recall_macro
63
  value: 0.559517342837518
64
- - name: Entity Span F1 (test_2020)
65
- type: f1_entity_span
66
  value: 0.7379217273954116
67
- - name: Entity Span Precision (test_2020)
68
- type: precision_entity_span
69
  value: 0.7688413948256468
70
- - name: Entity Span Recall (test_2020)
71
- type: recall_entity_span
72
  value: 0.7093928386092372
73
-
74
- pipeline_tag: token-classification
75
- widget:
76
- - text: "Get the all-analog Classic Vinyl Edition of `Takin' Off` Album from {@herbiehancock@} via {@bluenoterecords@} link below: {{URL}}"
77
- example_title: "NER Example 1"
78
  ---
79
  # tner/bert-large-tweetner7-2020
80
 
 
5
  - f1
6
  - precision
7
  - recall
8
+ pipeline_tag: token-classification
9
+ widget:
10
+ - text: 'Get the all-analog Classic Vinyl Edition of `Takin'' Off` Album from {@herbiehancock@}
11
+ via {@bluenoterecords@} link below: {{URL}}'
12
+ example_title: NER Example 1
13
+ base_model: bert-large-cased
14
  model-index:
15
  - name: tner/bert-large-tweetner7-2020
16
  results:
17
  - task:
 
18
  type: token-classification
19
+ name: Token Classification
20
  dataset:
21
  name: tner/tweetner7
22
  type: tner/tweetner7
23
  args: tner/tweetner7
24
  metrics:
25
+ - type: f1
 
26
  value: 0.6142662426169924
27
+ name: F1 (test_2021)
28
+ - type: precision
29
  value: 0.6035714285714285
30
+ name: Precision (test_2021)
31
+ - type: recall
32
  value: 0.6253469010175763
33
+ name: Recall (test_2021)
34
+ - type: f1_macro
35
  value: 0.5614355349295936
36
+ name: Macro F1 (test_2021)
37
+ - type: precision_macro
38
  value: 0.5513691216732639
39
+ name: Macro Precision (test_2021)
40
+ - type: recall_macro
41
  value: 0.5731091951352001
42
+ name: Macro Recall (test_2021)
43
+ - type: f1_entity_span
44
  value: 0.7585501647540052
45
+ name: Entity Span F1 (test_2021)
46
+ - type: precision_entity_span
47
  value: 0.7455053042992742
48
+ name: Entity Span Precision (test_2020)
49
+ - type: recall_entity_span
50
  value: 0.7720596738753325
51
+ name: Entity Span Recall (test_2021)
52
+ - type: f1
53
  value: 0.6218623481781376
54
+ name: F1 (test_2020)
55
+ - type: precision
56
  value: 0.6479190101237345
57
+ name: Precision (test_2020)
58
+ - type: recall
59
  value: 0.5978204462895693
60
+ name: Recall (test_2020)
61
+ - type: f1_macro
62
  value: 0.5814516218649598
63
+ name: Macro F1 (test_2020)
64
+ - type: precision_macro
65
  value: 0.6074235531058303
66
+ name: Macro Precision (test_2020)
67
+ - type: recall_macro
68
  value: 0.559517342837518
69
+ name: Macro Recall (test_2020)
70
+ - type: f1_entity_span
71
  value: 0.7379217273954116
72
+ name: Entity Span F1 (test_2020)
73
+ - type: precision_entity_span
74
  value: 0.7688413948256468
75
+ name: Entity Span Precision (test_2020)
76
+ - type: recall_entity_span
77
  value: 0.7093928386092372
78
+ name: Entity Span Recall (test_2020)
 
 
 
 
79
  ---
80
  # tner/bert-large-tweetner7-2020
81