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Hello!
I have a fully trained model (75 epochs) on a certain dataset and I tested it on another dataset. I now want to further train my model on this test dataset. Should I just run:
python train_step1.py --weights 'path/to/best_75_epochs.pt' (Or should the training be continued using last.pt?)
Can I run this on fewer epochs or should it be the same as best.pt? And will this new model be considered to be trained with 75 epochs + new training epochs or just new training epochs on new data?
Also, train_step2.py will then use this new model's last.pt weights, right?
Thanks!
The text was updated successfully, but these errors were encountered:
Hello!
I have a fully trained model (75 epochs) on a certain dataset and I tested it on another dataset. I now want to further train my model on this test dataset. Should I just run:
python train_step1.py --weights 'path/to/best_75_epochs.pt'
(Or should the training be continued usinglast.pt
?)Can I run this on fewer epochs or should it be the same as
best.pt
? And will this new model be considered to be trained with 75 epochs + new training epochs or just new training epochs on new data?Also,
train_step2.py
will then use this new model'slast.pt
weights, right?Thanks!
The text was updated successfully, but these errors were encountered: