continue training 
❓ Questions and Help

What is your question?
I have 10 training datasets. I want to train a model sequentially on these datasets i.e train on first training dataset then train the same model on the second dataset and so on.
How to do this?
   
model = ClassificationModel()
for dataset in training_datasets:
    trainer = pl.Trainer(gpus=-1)
    trainer.fit(model)