Thank you very much for your outstanding work. However, when I was training vg_swinT.yaml, I encountered the following issue:
Some weights of T5ForConditionalGeneration were not initialized from the model checkpoint at google/flan-t5-base and are newly initialized: ['temp']
You should probably TRAIN this model on a downstream task to be able to use it for predictions and inference.
Moreover, the training results were only:
| AP |
AP50 |
AP75 |
APs |
APm |
APl |
APr |
APc |
APf |
| 0.013 |
0.027 |
0.010 |
0.001 |
0.007 |
0.057 |
0.000 |
0.001 |
0.025 |
Is this issue caused by the flan-t5-base model not loading correctly? I hope to get your advice on this matter. Thank you.