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Hi, Thanks your works. I use my dataset pretrial on the you provided imagenet model. Then I use my pretreaind model to finetune on my dataset. The code return
_IncompatibleKeys(missing_keys=['class_embed.weight', 'class_embed.bias'], unexpected_keys=['patch2query.weight', 'patch2query.bias', 'feature_align.layers.0.weight', 'feature_align.layers.0.bias', 'feature_align.layers.1.weight', 'feature_align.layers.1.bias'])
Could you please offer some suggestion ? Is this normal or abnormal ? Thanks !
The text was updated successfully, but these errors were encountered:
Another interesting thing I find, compared with the pre-train on the imagenet dataest, the finetined COCO model finetune my own dataset have a better performance. Have you tried this similar experiment before ?
Hi, Thanks your works. I use my dataset pretrial on the you provided imagenet model. Then I use my pretreaind model to finetune on my dataset. The code return
_IncompatibleKeys(missing_keys=['class_embed.weight', 'class_embed.bias'], unexpected_keys=['patch2query.weight', 'patch2query.bias', 'feature_align.layers.0.weight', 'feature_align.layers.0.bias', 'feature_align.layers.1.weight', 'feature_align.layers.1.bias'])
Could you please offer some suggestion ? Is this normal or abnormal ? Thanks !
The text was updated successfully, but these errors were encountered: