Fixed time budget. Training always runs for exactly 5 minutes, regardless of your specific platform. This means you can expect approx 12 experiments/hour and approx 100 experiments while you sleep. There are two upsides of this design decision. First, this makes experiments directly comparable regardless of what the agent changes (model size, batch size, architecture, etc). Second, this means that autoresearch will find the most optimal model for your platform in that time budget. The downside is that your runs (and results) become not comparable to other people running on other compute platforms.
Source: Computational Materials Science, Volume 268，详情可参考新收录的资料
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戈某和孙某却认为，自己是出于好意拉架，并没有过错，不应担责。各方协商无果，潘某诉至法院。