How do you improve training consistency in a generative model for fiction text creation

Question

Can i know How do you improve training consistency in a generative model for fiction text creation?

Answer 1

Use techniques like seed fixing, gradient clipping, and learning rate scheduling to improve training consistency in a generative model for fiction text creation.

Here is the code snippet you can refer to:

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

• Fixes random seed for reproducibility.
• Uses gradient clipping and accumulation for stable training.
• Applies linear learning rate scheduling to avoid sudden changes.
• Enables mixed precision (fp16) for efficient and stable training.

Hence, these methods together enhance the consistency and reliability of fiction text model training.