Skip to content

Conversation

janEbert
Copy link
Collaborator

Problems:

  • BERT/T5 dataset handles already corrupted indices incorrectly.
  • GPT tokenizer vocab size does not include special tokens.
  • In Eval Harness evaluation, the last token of the target is unconditionally truncated. This results in wrong evaluation metrics and is actually not such a small problem.

This PR fixes these issues. Since the changes are so small, I didn't bother creating 3 PRs.

Did not include additional special tokens.
This corrupts the targets. There is no good reason for this.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant