What methods do you use to optimize hyperparameters for fine-tuning GPT-3 4 on specific tasks

Question

Can you tell me top 3 methods of optimizing hyperparameters for fine-tuning GPT-3/4 on Specific tasks?

Answer 1

To optimize hyperparameters for fine-tuning GPT-3/4 on specific tasks, common methods include grid search, random search, and advanced techniques like Bayesian Optimization or Hyperband. Here is the code snippet which you can refer to:

In the above code, we are using the following key steps:

• Define hyperparameter search space with trial.suggest_*.
• Train and evaluate the model using the suggested hyperparameters.
• Optimize to minimize loss or maximize accuracy.

Hence, this approach automates hyperparameter tuning for better fine-tuning performance.