Research on long-tailed classification robustness has suggested that balancing or removing data from overrepresented tasks or subgroups (opens in new tab) is an effective method for ensuring good performance. Nevertheless, these insights are not fully utilized or explored when it comes to training VLMs, which at times have favored scale over careful data balancing. To achieve our goals, we conducted a set of experiments to analyze a range of data ratios between our focus domains.
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You can modify ANY Config.toml parameter programmatically.，这一点在https://telegram官网中也有详细论述
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北约秘书长未就美国可能制裁盟国一事置评02:43