When should I retrain my model?
- When your datasets has better quality or larger amount, you can use them to iteratively improve your voice model
- When you are not satisfied with the current result and want to adjust your datasets
- When a new singing language skill being released
Retrain your model
Retraining will remove your previous model under this slot and take down any deployed singers associated with the model. AI will start training a completely new model from scratch using the new dataset. Prior to initiating the retraining process, you have the option to either retain the historical samples within this slot and upload additional new samples, or you can choose to clear the historical samples and only use the newly uploaded samples.
When preparing new samples, please note:
- If the duration of newly added samples is significantly smaller than the already uploaded samples, for example, adding 1 min of new sample to a dataset of 30 mins, retraining may not bring about significant changes in the performance of the voice model.
- Retraining will not change the type of your slot.
- You can switch the supported language of your basic custom slot by retraining.