FinLoRA Demo

Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets

XBRL tagging is a key step in creating XBRL reports. Numerical entities in texts such as earning calls can to be tagged with US GAAP tags.

Usage

  • Input: Provide a sentence containing financial information.
  • Output: Key entities and their corresponding US GAAP (Generally Accepted Accounting Principles) tags will be generated by the base model and our fine-tuned model.

Llama 3.1 8b (base) output

Llama 3.1 8b (base) output

Llama 3.1 8b (fine-tuned for XBRL tagging) output

Llama 3.1 8b (fine-tuned for XBRL tagging) output

Ground Truth Answer

Ground Truth Answer
Examples
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