我加载了您分享的RAVQA的最后测试的检查点文件，但是提示错误，请问怎么解决呢？

[勇往直前的晨晨]

RuntimeError: Error(s) in loading state_dict for RagExecutor:
size mismatch for model.generator.shared.weight: copying a param with shape torch.Size([32110, 1024]) from checkpoint, the shape in current model is torch.Size([30532, 1024]).
size mismatch for model.generator.encoder.embed_tokens.weight: copying a param with shape torch.Size([32110, 1024]) from checkpoint, the shape in current model is torch.Size([30532, 1024]).
size mismatch for model.generator.decoder.embed_tokens.weight: copying a param with shape torch.Size([32110, 1024]) from checkpoint, the shape in current model is torch.Size([30532, 1024]).
size mismatch for model.generator.lm_head.weight: copying a param with shape torch.Size([32110, 1024]) from checkpoint, the shape in current model is torch.Size([30532, 1024]).

[Lin Weizhe]

这个是因为你的embedding layer的token vocabulary的大小不对
checkpoint中的token共有32110个，但是模型中的token只有30532个
我去看了一下，好像Huggingface更新了t5-large的tokenizer的vocab文件，以前没有32000+个token，所以导致我以前训练的模型和现在的对不上。所以你需要重新训练模型。