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  1. README.md +13 -13
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@@ -1,22 +1,22 @@
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  ---
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- library_name: transformers
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- license: other
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  base_model: apple/mobilevit-xx-small
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- tags:
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- - generated_from_trainer
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  datasets:
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  - webdataset
 
 
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  metrics:
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  - accuracy
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  - f1
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  - precision
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  - recall
 
 
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  model-index:
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  - name: frost-mobile-apple__mobilevit-xx-small-v2024-10-22
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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: webdataset
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  type: webdataset
@@ -24,18 +24,18 @@ model-index:
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  split: train
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  args: default
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9475555555555556
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- - name: F1
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- type: f1
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  value: 0.8700440528634361
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- - name: Precision
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- type: precision
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  value: 0.8681318681318682
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- - name: Recall
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- type: recall
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  value: 0.8719646799116998
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ---
 
 
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  base_model: apple/mobilevit-xx-small
 
 
3
  datasets:
4
  - webdataset
5
+ library_name: transformers
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+ license: other
7
  metrics:
8
  - accuracy
9
  - f1
10
  - precision
11
  - recall
12
+ tags:
13
+ - generated_from_trainer
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  model-index:
15
  - name: frost-mobile-apple__mobilevit-xx-small-v2024-10-22
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  results:
17
  - task:
 
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  type: image-classification
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+ name: Image Classification
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  dataset:
21
  name: webdataset
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  type: webdataset
 
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  split: train
25
  args: default
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  metrics:
27
+ - type: accuracy
 
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  value: 0.9475555555555556
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+ name: Accuracy
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+ - type: f1
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  value: 0.8700440528634361
32
+ name: F1
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+ - type: precision
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  value: 0.8681318681318682
35
+ name: Precision
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+ - type: recall
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  value: 0.8719646799116998
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+ name: Recall
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You