| from transformers import AutoModelForCausalLM, TrainingArguments, Trainer | |
| model = AutoModelForCausalLM.from_pretrained("Isotonic/gpt-human-assistant") | |
| training_args = TrainingArguments( | |
| output_dir="./results", | |
| evaluation_strategy="epoch", | |
| learning_rate=2e-5, | |
| per_device_train_batch_size=8, | |
| num_train_epochs=3, | |
| save_total_limit=2, | |
| ) | |
| trainer = Trainer( | |
| model=model, | |
| args=training_args, | |
| train_dataset=tokenized_datasets["train"], | |
| eval_dataset=tokenized_datasets["test"], | |
| ) | |
| trainer.train() | |