Comments (3)
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.
from alpaca_eval.
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?
from alpaca_eval.
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!
from alpaca_eval.
Related Issues (20)
- With unstable GPT-4 API, I encounterd a tricky problem HOT 1
- With unstable GPT-4 API, I encounterd a tricky problem HOT 2
- Question about the GPT-4 API HOT 11
- openai_configs.yaml when using Azure only HOT 7
- Confusion in Model Evaluation Results Due to GPT Updates HOT 2
- How instruction_difficulty feature is obtained HOT 1
- Llama-3-Instruct not using official prompt template? HOT 1
- Unable to reproduce results HOT 1
- Missing item in results/llama-2-70b-chat-hf HOT 1
- Missing result file in notebook HOT 1
- How to solve the problem of null appearing in the evaluation results HOT 3
- What to do if the log prob is not returned? HOT 7
- How to get the LC Win Rate in AlpacaEval 1.0 version? HOT 4
- How to change cache path when evaluating multi-models HOT 1
- The n_total of n_total result is not 805 HOT 6
- Overly High Win Rate for Alpaca v2 on mistral 7b orpo HOT 12
- How to use AE1 to evaluate model HOT 2
- possibility of adding llama3-70b as the evaluator? HOT 3
- Alpaca Evaluation Instruction Difficulty used also for Custom Evaluation Dataset HOT 3
- Add Phi 3 models HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from alpaca_eval.