How to design an automated pipeline that searches for optimal Transformer architectures

Question

Can you tell me How to design an automated pipeline that searches for optimal Transformer architectures.

Answer 1

You can design an automated pipeline to search for optimal Transformer architectures by integrating Neural Architecture Search (NAS) with a configurable Transformer search space and evaluation strategy.
Here is the code snippet below:

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

• Ray Tune for parallel and scalable hyperparameter tuning

• A parameterized Transformer architecture for flexible evaluation

• ASHA scheduler for efficient early stopping of suboptimal configurations

Hence, NAS automates the discovery of efficient Transformer variants by exploring architecture and training hyperparameters jointly.