Your transformer model generates ungrammatical text when processing long document inputs How can coherence be improved

Question

Can i know if Your transformer model generates ungrammatical text when processing long document inputs. How can coherence be improved?

Answer 1

To improve coherence in long document processing with a transformer, use a memory-augmented transformer, sliding window attention, or fine-tune with contrastive coherence loss.

Here is the code snippet you can refer to:

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

• Model Selection: Uses Longformer, which supports efficient processing of long documents.
• Sliding Window Attention: Ensures attention mechanism scales to long inputs without loss of coherence.
• Tokenization: Applies LongformerTokenizer with proper truncation and padding.
• Inference Step: Processes the document using the transformer and extracts predictions.
• Handling Output: Converts model output logits into a meaningful class prediction.

Conclusion:

Hence, by employing a memory-augmented transformer like Longformer with sliding window attention, we significantly improve coherence and grammatical accuracy when generating text from long document inputs.