Loading fairseq/multiprocessing_trainer.py +3 −2 Changes for fairseq/multiprocessing_trainer.py: 3 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -104,8 +104,9 @@ class MultiprocessingTrainer(MultiprocessingEventLoop): lr_scheduler = LambdaLR(self.optimizer, anneal) lr_scheduler.best = None else: # decay the LR by 0.1 every time the validation loss plateaus lr_scheduler = ReduceLROnPlateau(self.optimizer, patience=0) # decay the LR by a factor every time the validation loss plateaus lr_scheduler = ReduceLROnPlateau(self.optimizer, patience=0, factor=self.args.lrshrink) return lr_scheduler def get_model(self): Loading Loading
fairseq/multiprocessing_trainer.py +3 −2 Changes for fairseq/multiprocessing_trainer.py: 3 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -104,8 +104,9 @@ class MultiprocessingTrainer(MultiprocessingEventLoop): lr_scheduler = LambdaLR(self.optimizer, anneal) lr_scheduler.best = None else: # decay the LR by 0.1 every time the validation loss plateaus lr_scheduler = ReduceLROnPlateau(self.optimizer, patience=0) # decay the LR by a factor every time the validation loss plateaus lr_scheduler = ReduceLROnPlateau(self.optimizer, patience=0, factor=self.args.lrshrink) return lr_scheduler def get_model(self): Loading