ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Home Page:http://ludwig.ai

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

`RESPONSE` contains lot longer text than is expected based on the `output_features` and `max_sequence_length`.

amankhandelia opened this issue · comments

RESPONSE consumed by ROUGEScoreMetric function, gets a lot longer text than is expected based on the output_features and max_sequence_length. Even when the max_sequence_length is 8 or 16 tokens, it RESPONSE contains the text which is as long as the text in prompt_template.

Based on my investigation, it is happening because in get_decoded_targets_and_predictions condition is wrong, instead of targets != IGNORE_INDEX_TOKEN_ID, it is set to predictions[PREDICTIONS] != IGNORE_INDEX_TOKEN_ID. From what I understand we should be using the targets index to truncate the predictions correctly.

When I apply this change I get the correct metric value, matching up with the expectations given the results seen during finetuning

  • Python version: 3.11
  • Ludwig version: 0.10.1