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使用作者预训练的Vision Encoder,后续的stage2和3,在自己数据集中训练出的模型效果不是很理想,因此,在这里有两个疑问:
Vision Encoder
Vary-tiny-600K
GOT-OCR2.0
谢谢!
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应该不至于,你在stage2 stage3训了多少数据,以及你的数据是什么样的,能看下吗,我怀疑和训练settings有关
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1M的数据。数据是分子结构式,一张图片一个分子,对应的文本是分子SMILES,设置使用默认的。
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使用作者预训练的
Vision Encoder
,后续的stage2和3,在自己数据集中训练出的模型效果不是很理想,因此,在这里有两个疑问:Vary-tiny-600K
,这个仓库的代码是否和GOT-OCR2.0
无缝对接,训练完的权重可以直接放在GOT中使用吗?谢谢!
The text was updated successfully, but these errors were encountered: