I trained my model for 50 epochs. Now I want to continue training for other 15 epochs. so I start training with
but I don’t know how to show continuation of logs with tensorboard
I thought if I write same path of previous file logs, it continue but it didn’t show me the previous logs.
I’d be appreciate if you could help me because I need to see the previous training logs along with the new ones.
Part of source code is:
checkpoint_callback=ModelCheckpoint(dirpath="model",filename="newmodel_1",save_last=True,verbose=True,monitor="val_ce_loss",mode="min") logger=TensorBoardLogger("training-logs",name="test_1") model1 = model(config) model_with_previous = model1.load_from_checkpoint(base_path_ckpt) trainer = pl.Trainer( max_steps = max_steps, max_epochs=N_EPOCHS, gpus=(1 if torch.cuda.is_available() else 0), logger=logger, callbacks=[checkpoint_callback], ) %load_ext tensorboard %tensorboard --logdir ./lightning_logs