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  This model has been trained with convnext_tiny_in22k with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
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- ![image](https://user-images.githubusercontent.com/24592806/177065734-2d2920d2-adf2-4d73-8e89-a59e269544d4.png)
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  ## Intended uses & limitations
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  - The models has been trained and evaluated with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
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  - We used a Random Splitter to train and evaluate data
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- ## Useful graphs logged with wandb
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-
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- ![image](https://user-images.githubusercontent.com/24592806/177065734-2d2920d2-adf2-4d73-8e89-a59e269544d4.png)
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- ![image](https://user-images.githubusercontent.com/24592806/177065795-5c66ae3f-5e05-44c3-a6e5-0abb302c7d50.png)
 
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  This model has been trained with convnext_tiny_in22k with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
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+ **Useful graphs logged with wandb**
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+ ![image](https://user-images.githubusercontent.com/24592806/177065734-2d2920d2-adf2-4d73-8e89-a59e269544d4.png)
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+ ![image](https://user-images.githubusercontent.com/24592806/177065795-5c66ae3f-5e05-44c3-a6e5-0abb302c7d50.png)
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  ## Intended uses & limitations
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  - The models has been trained and evaluated with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
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  - We used a Random Splitter to train and evaluate data
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