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Trainer(max_epochs=100,accelerator="auto", #gpus=1, default_root_dir="./Checkpoints", logger=wandb_logger, callbacks=[early_stop_callback, lr_monitor]) trainer.fit(model) Once we’re done training, we can also save the HuggingFace model as follows: save_directory = "./Checkpoints" # save in the