Add evaluation results on emotion dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +57 -1
README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
2
- language:
3
  - en
4
  thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
5
  tags:
@@ -11,6 +11,62 @@ datasets:
11
  - emotion
12
  metrics:
13
  - Accuracy, F1 Score
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
  # robert-base-emotion
16
 
 
1
  ---
2
+ language:
3
  - en
4
  thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
5
  tags:
 
11
  - emotion
12
  metrics:
13
  - Accuracy, F1 Score
14
+ model-index:
15
+ - name: bhadresh-savani/roberta-base-emotion
16
+ results:
17
+ - task:
18
+ type: text-classification
19
+ name: Text Classification
20
+ dataset:
21
+ name: emotion
22
+ type: emotion
23
+ config: default
24
+ split: test
25
+ metrics:
26
+ - name: Accuracy
27
+ type: accuracy
28
+ value: 0.931
29
+ verified: true
30
+ - name: Precision Macro
31
+ type: precision
32
+ value: 0.9168321948556312
33
+ verified: true
34
+ - name: Precision Micro
35
+ type: precision
36
+ value: 0.931
37
+ verified: true
38
+ - name: Precision Weighted
39
+ type: precision
40
+ value: 0.9357445689014415
41
+ verified: true
42
+ - name: Recall Macro
43
+ type: recall
44
+ value: 0.8743657671177089
45
+ verified: true
46
+ - name: Recall Micro
47
+ type: recall
48
+ value: 0.931
49
+ verified: true
50
+ - name: Recall Weighted
51
+ type: recall
52
+ value: 0.931
53
+ verified: true
54
+ - name: F1 Macro
55
+ type: f1
56
+ value: 0.8821236522209227
57
+ verified: true
58
+ - name: F1 Micro
59
+ type: f1
60
+ value: 0.931
61
+ verified: true
62
+ - name: F1 Weighted
63
+ type: f1
64
+ value: 0.9300782840205046
65
+ verified: true
66
+ - name: loss
67
+ type: loss
68
+ value: 0.15155883133411407
69
+ verified: true
70
  ---
71
  # robert-base-emotion
72