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In train.py, we call trainer.test right after the model has been trained with trainer.train. It is unclear if this leads to correct behaviour when early stopping is applied. Since we do not explicitly load the best model before calling trainer.test, it could be the case that we simply use the latest model. This should be investigated.
The text was updated successfully, but these errors were encountered:
In
train.py
, we calltrainer.test
right after the model has been trained withtrainer.train
. It is unclear if this leads to correct behaviour when early stopping is applied. Since we do not explicitly load the best model before callingtrainer.test
, it could be the case that we simply use the latest model. This should be investigated.The text was updated successfully, but these errors were encountered: