Setting up the reward trainer
Your project continues and you now have the model and config objects ready to start training the reward model.
The training and evaluation datasets have been preloaded as train_data and eval_data. The RewardTrainer has been imported from trl.
Deze oefening maakt deel uit van de cursus
Reinforcement Learning from Human Feedback (RLHF)
Oefeninstructies
- Initialize the
RewardTrainer()by assigning the model, tokenizer, training dataset, evaluation dataset, and reward configuration to its attributes.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
tokenizer = AutoTokenizer.from_pretrained("openai-gpt")
model = AutoModelForSequenceClassification.from_pretrained('openai-gpt')
config = RewardConfig(output_dir='output_dir', max_length=60)
# Initialize the reward trainer
trainer = ____