how to tranfer leaning

[Saiflalwani]

according to requirements i have trained two model (eng.pt and urdu.pt) both have three different classes
eng.pt has ( englogo, engidentifier)
urdu.pt (urdulogo , urduidentifier)
these are classes of two model how to do transfer learning i want a single consolidated model

[glenn-jocher]

@Saiflalwani hello! To perform transfer learning and consolidate your two models (eng.pt and urdu.pt) into a single model, you'll want to follow these general steps:

1. Create a Unified Dataset: Combine your English and Urdu datasets into a single dataset with all the classes you need (englogo, engidentifier, urdulogo, urduidentifier). Ensure that the annotations are correctly labeled and formatted.

2. Initialize with Pretrained Weights: Start with a pretrained YOLOv8 model that has been trained on a large and diverse dataset like COCO. This will provide a good feature extraction base for your new task.

3. Modify the Model Configuration: Adjust the model's configuration to have the correct number of output classes. In your case, you will have four classes.

4. Train the New Model: Use the combined dataset to train the new model. During training, you can use the weights from eng.pt or urdu.pt as the starting point, or you can train from the pretrained weights mentioned in step 2.

5. Fine-Tuning: After the initial training, you may fine-tune the model by continuing the training process with a lower learning rate to make more subtle adjustments to the weights.

6. Validation: Regularly validate your model on a separate validation set to monitor its performance and avoid overfitting.

7. Save the Consolidated Model: Once you're satisfied with the performance, save the consolidated model.

For detailed instructions on how to perform each of these steps using YOLOv8, please refer to the training documentation at our Ultralytics Docs. Remember to adjust hyperparameters and training settings as needed for your specific use case. Good luck with your transfer learning project! 🚀