Upload vit_best_model_optuna.pth

HYPER PARAMETER TUNING -
We achieved a low accuracy level so to tune it and refine it we decided to tune the hyper parameters such as value, batch_size, learning_rate and weight_decay

Best hyperparameters found:
{'lr': 1.0369533463569177e-05, 'batch_size': 32, 'weight_decay': 0.009006790996778456}
Accuracy: 77.82%
Model saved at: vit_best_model_optuna.pth

vit_best_model_optuna.pth

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