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Update README.md

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  language: en
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  license: mit
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  tags:
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- - image-classification
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- - computer-vision
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- - pytorch
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- - cifar10
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  datasets:
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- - cifar10
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  metrics:
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- - accuracy
 
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  ---
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  # CIFAR-10 CNN Model
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  ## Training Details
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  - **Optimizer**: SGD with momentum 0.9, weight decay 1e-6.
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  - **Learning Rate**: Initial 0.01, reduced on plateau (factor 0.1, patience 10, min_lr 0.00001).
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- - **Data Augmentation**: Color jitter, random perspective, random horizontal flip, normalization.
 
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  language: en
3
  license: mit
4
  tags:
5
+ - image-classification
6
+ - computer-vision
7
+ - pytorch
8
+ - cifar10
9
  datasets:
10
+ - cifar10
11
  metrics:
12
+ - accuracy
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+ pipeline_tag: image-classification
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  ---
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  # CIFAR-10 CNN Model
 
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  ## Training Details
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  - **Optimizer**: SGD with momentum 0.9, weight decay 1e-6.
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  - **Learning Rate**: Initial 0.01, reduced on plateau (factor 0.1, patience 10, min_lr 0.00001).
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+ - **Data Augmentation**: Color jitter, random perspective, random horizontal flip, normalization.