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Per Twitter, there will be more info about model performance tomorrow: https://twitter.com/arankomatsuzaki/status/1373732645444579331 https://twitter.com/aranko

• deleted 6y ago
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• stellaathena 6y ago
  We’ve added a table with some evaluation scores to the GitHub repo, and you can see a comparison between our scores, GPT-2, and GPT-3 here: https://twitter.com/BlancheMinerva/status/1373991896616427522?s=20 https://twitter.com/BlancheMinerva/status/137399189661642752... tl;dr we are doing pretty much exactly as well as we expected on LAMBADA and WikiText. Results on more sophisticated tasks will take some time, but HuggingFace is currently working on implementing our model in the transformers library and when they do so we can easily run a lot of analyses very quickly. We actually built an evaluation suite that integrates with HF, but interfacing with the MTF code that GPT-Neo was written in was too much of a pain in the ass because Mesh TensorFlow is the worst. https://github.com/EleutherAI/lm-evaluation-harness https://github.com/EleutherAI/lm-evaluation-harness