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  # Model Card for Model ID
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/624d888b0ce29222ad64c3d6/X7cXpayiKgUCUycIen22S.png)
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  ## Model Details
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  ### Model Description
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  - **License:** [More Information Needed]
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  - **Finetuned from model [optional]:** [More Information Needed]
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-
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  ## Training Details
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  ### Training Data
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- The training data consists of an unkown subset of the cub-200-2011 dataset, https://paperswithcode.com/dataset/cub-200-2011
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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  #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
 
 
 
 
 
 
 
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  #### Speeds, Sizes, Times [optional]
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  #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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  [More Information Needed]
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  #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
 
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  # Model Card for Model ID
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/624d888b0ce29222ad64c3d6/X7cXpayiKgUCUycIen22S.png)
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  ## Model Details
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  ### Model Description
 
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  - **License:** [More Information Needed]
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  - **Finetuned from model [optional]:** [More Information Needed]
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  ## Training Details
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  ### Training Data
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+ The training data consists of an unknown subset of the cub-200-2011 dataset, https://paperswithcode.com/dataset/cub-200-2011
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing
 
 
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+ Data augmentation was applied to the training data in a custom Torch dataset class. Because of the size of the dataset images were not replaced but duplicated and augmented.
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+ The only augmentations applied were HorizontalFlips and Rotations (10 degrees) to align with the relatively homogenous dataset.
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  #### Training Hyperparameters
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+ | Hyperparameter | Value |
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+ |-----------------------|----------------------------|
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+ | Optimizer | AdamW |
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+ | Learning Rate | 1e-4 |
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+ | Batch Size | 32 |
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+ | Epochs | 2 |
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+ | Weight Decay | - |
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+ | Scheduler | - |
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+ | Mixed Precision | Torch AMP |
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  #### Speeds, Sizes, Times [optional]
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  #### Testing Data
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+ The testing data consists of an unknown subset of the cub-200-2011 dataset, https://paperswithcode.com/dataset/cub-200-2011
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  [More Information Needed]
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  #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+