How do I evaluate transfer learning models effectively?

How do I evaluate transfer learning models effectively?

To evaluate transfer learning models, you can use metrics like accuracy, F1 score, and confusion matrix. What specific model are you working with?

I'm using a pre-trained ResNet model for image classification.

Great choice! You can fine-tune the ResNet model on your dataset and then evaluate its performance using the metrics I mentioned. Have you already split your data into training and testing sets?

Yes, I have a training set and a validation set. Should I use the validation set for evaluation?

Yes, you can use the validation set to tune hyperparameters and evaluate the model's performance. After that, test it on a separate test set for final evaluation.