How can I fine-tune a pre-trained CodeGen model on custom data in Vertex AI

Question

With the help of code, can you tell me how I can fine-tune a pre-trained CodeGen model on custom data in Vertex AI?

Answer 1

To fine-tune a pre-trained CodeGen model on custom data using Google Vertex AI.

Here are the following steps you can refer to:

• Prepare Data: Organize your custom code data in a format suitable for training (e.g., JSONL or text files).
• Set Up Vertex AI:
  • Enable Vertex AI in your Google Cloud Project.
  • Create a storage bucket for your training data and upload the files.
• Fine-tune the Model: Use a pre-trained CodeGen model from Hugging Face or TensorFlow Hub and Vertex AI Training for fine-tuning.

Here is the code snippet you can refer to:

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

• Custom Data: Ensure data is preprocessed and tokenized.
• Fine-tuning: Use TrainingArguments with Hugging Face's Trainer for ease.
• Integration: Use Google Cloud Storage for data and Vertex AI for deployment.

Hence, By referring to the above, you can fine-tune a pre-trained CodeGen model on custom data in Vertex AI.