I don’t know, if the model is overfit, how it export the best validation loss.
If the model is identified as overfitted one using tensorboard graph. Can i proceed to stop training using ctrl+c. Because in docs, they said best validation loss is calculated at the end of the 200 epochs.
Because i trained my data using deepspeech 0.9.2 checkpoint. First I created the base model and then done augmentation.
When I completed the base model, I used the base model checkpoint and done the augmentation(volume) with learning rate 0.0001. It starts with overfitting. . .
Can I augment a single parameter such as volume alone , pitch, tempo, framerate alone for training . or i include the multiple parameter as training