Open linkstatic12 opened 10 months ago
Hi,
The model weights and current optimizer state is saved after every epoch. If epoch N completes and then training is interrupted after that, you can resume training at epoch N+1 by starting training with the flag --model_load_path /path/to/model.pth.
Let me know if that answers your question.
Best, Brandon
@bsmock It did. I was training the fintable dataset but you guys already did it.
If i run my PC for the epoch 0 training, stop the training and then change the epoch value to 1 in the json and start the training again does it take the weights from the epoch 0?