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YannDubs avatar YannDubs commented on June 17, 2024

Yeah, I like that! Are you suggesting to save that in the csv leaderboard? Note that all os "m:win|e:weighted_ae_g4turbo |b:g4turbo|ae:2" is actually equivalent to "AlpacaEval 2" and thus constant inside of a csv leaderboard but it can be good to have the signature for people to refer to in a paper. I see how v:0.5.4 can be very useful to know!

Related: I think we should also save the date in the annotations & model_output JSON as those change over time + caching means that not all examples were annotated on the same day.

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mathewhuen avatar mathewhuen commented on June 17, 2024

Oh I think including the date would definitely be helpful for calculating the leaderboard! Would saving both the date and either the repo version or commit hash to the annotation/model_output JSON files be overkill?

As for the signature, my motivation was strictly for reporting in papers or other research. Exactly like you said, the parameters for the leaderboard are mostly fixed (and any changes could be tracked by the inclusion of dates).

If the leaderboard is the primary goal of AlpacaEval, adding better metadata to the JSON files would probably be a higher priority. What do you think?

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YannDubs avatar YannDubs commented on June 17, 2024

Todo:

  • add a signature in the csv leaderboard so that people can report them in papers and make sure it's comparable.
  • print the signature in the terminal when running alpaca_eval ... so that people can quickly check that they are running what they are thinking
  • add the date & repo version in the JSONs (only for new annotations & generations)

Not sure when I'll have time but should be able to do it this week or next. Feel free to open a PR also if you want to help.

Note:

  • IMO leaderboard isn't the primary goal of AE, I think the goal is an evaluation that people can hyperparameter tune while knowing that it's pretty highly correlated with human preference. But leaderboard is important to provide the trust for people to use it for hparam tuning!

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