Python, Data Science, AI, NLP, Programming.
num_train_epochs=3, per_device_train_batch_size=16, per_device_eval_batch_size=64, warmup_steps=500, learning_rate=5e-5, logging_dir='./logs', ) # Create the Trainer and train the model trainer = Trainer( model=model, args=training_args, train_dataset=train_dataset, ) trainer.train() In this