Add MiniChat-1.5-3B to AlpacaEval and Fix MiniChat-3B #176
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
We have recently noted that we have mistakenly used reference model outputs from https://github.com/tatsu-lab/alpaca_eval/blob/main/results/text_davinci_003/model_outputs.json instead of that from https://huggingface.co/datasets/tatsu-lab/alpaca_eval for previous submission of MiniChat-3B.
I have not idea why these two outputs are surprisingly different. So we here update the results, and the results seem to be more reasonable now.
We are very sorry for the misunderstanding, and we kindly suggest a highlight on the difference between above two outputs in the README.
BTW, we have added MiniChat-1.5-3B to AlpacaEval, which is incorporated with NEFT and DPO to yield much better performance.