Possibly dumb question: How do you ensure there's no data leakage when benchmarking transfer learning techniques? Is that even a problem anymore when the whole point is to learn "common sense" knowledge? For example their “Colossal Clean Crawled Corpus” (C4), a dataset consisting of hundreds of gigabytes of clean English text scraped from the web, might contain much of the same information as the benchmark datasets,…
Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
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Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#32Although those are some great results, I wish I could try it out locally... https://github.com/google-research/text-to-text-transfer-tra... It drives me nuts that most of these papers / publications don't have code where I can just run: > python evaluate_model.py Still exciting, just annoying that I'd have to set up google cloud to try this out.
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#33I didn't know anything about SuperGLUE before (turns out it's a benchmark for language understanding tasks), so I clicked around their site where they show different examples of the tasks. One "word in context" task is to look at 2 different sentences that have a common word and decide if that word means the same thing in both sentences or different things (more details here: https://pilehvar.github.io/wic/ ) One of…
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#34I didn't know anything about SuperGLUE before (turns out it's a benchmark for language understanding tasks), so I clicked around their site where they show different examples of the tasks. One "word in context" task is to look at 2 different sentences that have a common word and decide if that word means the same thing in both sentences or different things (more details here: https://pilehvar.github.io/wic/ ) One of…
So I would have answered that the word meant the same thing.
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#35Paper: https://arxiv.org/abs/1910.10683
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#36So, this is largest language model so far?
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#37Earlier quoted context omitted.
I think it's landed in the same sense as "landed a deal": got, or achieved, in this case achieving shooting them down. For me, my first read of the sentence would definitely be that it means shot down.
Ahh, just found an example where that's taken from https://glosbe.com/en/en/land . If you find on that page you'll see the exact sentence "the enemy landed several of our aircraft" (without the s after aircraft) which it says means "shoot down". I have still never heard landed used in that way, and again in other dictionaries I searched I couldn't find that definition either. Thus, this is a case where the "AI" may g…
I suppose in some case it could score better than humans on SuperGLUE benchmark.. but eventually it will have to come back down to near human score as it gets more accurate.
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#38> T5-11B (11 billion parameters) So, this is largest language model so far?
Re: Google T5 scores 88.9 on SuperGLUE Benchmark, approaching human baseline
#39I didn't know anything about SuperGLUE before (turns out it's a benchmark for language understanding tasks), so I clicked around their site where they show different examples of the tasks. One "word in context" task is to look at 2 different sentences that have a common word and decide if that word means the same thing in both sentences or different things (more details here: https://pilehvar.github.io/wic/ ) One of…
It means 'succeeded in shooting down' right? Seems pretty contextual, but understandable.
This is either a poor question, or a really great question, if the goal of the test is to confuse computers where a human would normally say “huh, weird way of saying that but I guess they mean...”.