How do I troubleshoot incorrect output when using FastAI s text classifier for text generation

Question

With the help of code, can you explain how I troubleshoot incorrect output when using FastAI’s text classifier for text generation?

Answer 1

To troubleshoot incorrect output when using FastAI's text classifier for text generation, you can ensure proper data preparation, fine-tuning, and decoding settings.

Here is the code snippet showing how it is done:

In the above code, we are using the following reference:

• Check Data Preparation: Ensure your dataset is clean and correctly labeled using dls.show_batch().
• Fine-Tuning: Train the model sufficiently with learn.fine_tune() to adapt it to your data.
• Adjusted Generation Parameters:
  • temperature: Controls randomness in predictions.
  • min_p: Filters unlikely tokens, improving coherence.

Hence, by referring to the above, you can troubleshoot incorrect output when using FastAI's text classifier for text generation.