Librarian Bot: Add base_model information to model

#5
Files changed (1) hide show
  1. README.md +28 -27
README.md CHANGED
@@ -7,20 +7,21 @@ datasets:
7
  - lewtun/dog_food
8
  metrics:
9
  - accuracy
 
10
  model-index:
11
  - name: convnext-tiny-finetuned-dogfood
12
  results:
13
  - task:
14
- name: Image Classification
15
  type: image-classification
 
16
  dataset:
17
  name: lewtun/dog_food
18
  type: lewtun/dog_food
19
  args: lewtun--dog_food
20
  metrics:
21
- - name: Accuracy
22
- type: accuracy
23
  value: 0.7253333333333334
 
24
  - task:
25
  type: image-classification
26
  name: Image Classification
@@ -30,53 +31,53 @@ model-index:
30
  config: lewtun--dog_food
31
  split: test
32
  metrics:
33
- - name: Accuracy
34
- type: accuracy
35
  value: 0.6866666666666666
 
36
  verified: true
37
- - name: Precision Macro
38
- type: precision
39
  value: 0.7181484576740136
 
40
  verified: true
41
- - name: Precision Micro
42
- type: precision
43
  value: 0.6866666666666666
 
44
  verified: true
45
- - name: Precision Weighted
46
- type: precision
47
  value: 0.7235392474854474
 
48
  verified: true
49
- - name: Recall Macro
50
- type: recall
51
  value: 0.7006250320552644
 
52
  verified: true
53
- - name: Recall Micro
54
- type: recall
55
  value: 0.6866666666666666
 
56
  verified: true
57
- - name: Recall Weighted
58
- type: recall
59
  value: 0.6866666666666666
 
60
  verified: true
61
- - name: F1 Macro
62
- type: f1
63
  value: 0.6690027379410202
 
64
  verified: true
65
- - name: F1 Micro
66
- type: f1
67
  value: 0.6866666666666666
 
68
  verified: true
69
- - name: F1 Weighted
70
- type: f1
71
  value: 0.6647526870157503
 
72
  verified: true
73
- - name: loss
74
- type: loss
75
  value: 0.9549381732940674
 
76
  verified: true
77
- - name: matthews_correlation
78
- type: matthews_correlation
79
  value: 0.5737269361889515
 
80
  verified: true
81
  ---
82
 
 
7
  - lewtun/dog_food
8
  metrics:
9
  - accuracy
10
+ base_model: facebook/convnext-tiny-224
11
  model-index:
12
  - name: convnext-tiny-finetuned-dogfood
13
  results:
14
  - task:
 
15
  type: image-classification
16
+ name: Image Classification
17
  dataset:
18
  name: lewtun/dog_food
19
  type: lewtun/dog_food
20
  args: lewtun--dog_food
21
  metrics:
22
+ - type: accuracy
 
23
  value: 0.7253333333333334
24
+ name: Accuracy
25
  - task:
26
  type: image-classification
27
  name: Image Classification
 
31
  config: lewtun--dog_food
32
  split: test
33
  metrics:
34
+ - type: accuracy
 
35
  value: 0.6866666666666666
36
+ name: Accuracy
37
  verified: true
38
+ - type: precision
 
39
  value: 0.7181484576740136
40
+ name: Precision Macro
41
  verified: true
42
+ - type: precision
 
43
  value: 0.6866666666666666
44
+ name: Precision Micro
45
  verified: true
46
+ - type: precision
 
47
  value: 0.7235392474854474
48
+ name: Precision Weighted
49
  verified: true
50
+ - type: recall
 
51
  value: 0.7006250320552644
52
+ name: Recall Macro
53
  verified: true
54
+ - type: recall
 
55
  value: 0.6866666666666666
56
+ name: Recall Micro
57
  verified: true
58
+ - type: recall
 
59
  value: 0.6866666666666666
60
+ name: Recall Weighted
61
  verified: true
62
+ - type: f1
 
63
  value: 0.6690027379410202
64
+ name: F1 Macro
65
  verified: true
66
+ - type: f1
 
67
  value: 0.6866666666666666
68
+ name: F1 Micro
69
  verified: true
70
+ - type: f1
 
71
  value: 0.6647526870157503
72
+ name: F1 Weighted
73
  verified: true
74
+ - type: loss
 
75
  value: 0.9549381732940674
76
+ name: loss
77
  verified: true
78
+ - type: matthews_correlation
 
79
  value: 0.5737269361889515
80
+ name: matthews_correlation
81
  verified: true
82
  ---
83