Yasminbr
Yasminbr
> You can check the loss curve by visualdl. If the training loss keeps decreasing and the validation accuracy is not be improved, the model is overfit. However, PaddleSeg saves...
so what is the "Test mode" for? test_dataset: type: Dataset dataset_root: /home/ARO.local/yasminbr/Projects/June/ num_classes: 2 test_path: /home/ARO.local/yasminbr/Projects/June/test.txt mode: test
> Test dataset is used to test the performance of your model, see how it react on data it never sees. I know the meaning of the test data but...
that's sounds great, can you show me a code example?