Librarian Bot: Add base_model information to model

#4
Files changed (1) hide show
  1. README.md +28 -27
README.md CHANGED
@@ -7,20 +7,21 @@ datasets:
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  - lewtun/dog_food
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  metrics:
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  - accuracy
 
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  model-index:
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  - name: swin-tiny-finetuned-dogfood
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  results:
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  - task:
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- name: Image Classification
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  type: image-classification
 
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  dataset:
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  name: lewtun/dog_food
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  type: lewtun/dog_food
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  args: lewtun--dog_food
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.988
 
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  - task:
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  type: image-classification
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  name: Image Classification
@@ -30,53 +31,53 @@ model-index:
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  config: lewtun--dog_food
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  split: test
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9826666666666667
 
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  verified: true
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- - name: Precision Macro
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- type: precision
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  value: 0.9820904286553143
 
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  verified: true
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- - name: Precision Micro
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- type: precision
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  value: 0.9826666666666667
 
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  verified: true
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- - name: Precision Weighted
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- type: precision
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  value: 0.9828416519866903
 
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  verified: true
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- - name: Recall Macro
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- type: recall
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  value: 0.9828453314981092
 
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  verified: true
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- - name: Recall Micro
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- type: recall
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  value: 0.9826666666666667
 
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  verified: true
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- - name: Recall Weighted
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- type: recall
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  value: 0.9826666666666667
 
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  verified: true
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- - name: F1 Macro
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- type: f1
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  value: 0.9824101123169301
 
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  verified: true
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- - name: F1 Micro
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- type: f1
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  value: 0.9826666666666667
 
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  verified: true
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- - name: F1 Weighted
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- type: f1
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  value: 0.9826983433609648
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.2326570302248001
 
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  verified: true
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- - name: matthews_correlation
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- type: matthews_correlation
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  value: 0.974016655798285
 
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  verified: true
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  ---
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  - lewtun/dog_food
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  metrics:
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  - accuracy
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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  model-index:
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  - name: swin-tiny-finetuned-dogfood
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  results:
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  - task:
 
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  type: image-classification
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+ name: Image Classification
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  dataset:
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  name: lewtun/dog_food
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  type: lewtun/dog_food
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  args: lewtun--dog_food
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  metrics:
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+ - type: accuracy
 
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  value: 0.988
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+ name: Accuracy
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  - task:
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  type: image-classification
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  name: Image Classification
 
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  config: lewtun--dog_food
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  split: test
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  metrics:
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+ - type: accuracy
 
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  value: 0.9826666666666667
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+ name: Accuracy
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  verified: true
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+ - type: precision
 
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  value: 0.9820904286553143
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+ name: Precision Macro
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  verified: true
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+ - type: precision
 
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  value: 0.9826666666666667
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+ name: Precision Micro
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  verified: true
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+ - type: precision
 
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  value: 0.9828416519866903
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+ name: Precision Weighted
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  verified: true
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+ - type: recall
 
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  value: 0.9828453314981092
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+ name: Recall Macro
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  verified: true
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+ - type: recall
 
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  value: 0.9826666666666667
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+ name: Recall Micro
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  verified: true
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+ - type: recall
 
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  value: 0.9826666666666667
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+ name: Recall Weighted
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  verified: true
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+ - type: f1
 
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  value: 0.9824101123169301
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+ name: F1 Macro
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  verified: true
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+ - type: f1
 
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  value: 0.9826666666666667
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+ name: F1 Micro
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  verified: true
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+ - type: f1
 
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  value: 0.9826983433609648
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+ name: F1 Weighted
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  verified: true
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+ - type: loss
 
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  value: 0.2326570302248001
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+ name: loss
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  verified: true
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+ - type: matthews_correlation
 
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  value: 0.974016655798285
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+ name: matthews_correlation
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  verified: true
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  ---
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