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.
Questo esercizio fa parte del corso
Reinforcement Learning from Human Feedback (RLHF)
Istruzioni dell'esercizio
- Initialize the
RewardTrainer()by assigning the model, tokenizer, training dataset, evaluation dataset, and reward configuration to its attributes.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
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 = ____