I’m currently studying aws MLE and we should make a project about image classifications database dog breeds.
after wrote the training script, every time i run the code it raises value error Too many values to unpack
Failure reason AlgorithmError: ExecuteUserScriptError: Command "/opt/conda/bin/python3.6 hpo.py --batch-size 32 --lr 0.003409797631466478" Downloading: "https://download.pytorch.org/models/resnet18-5c106cde.pth" to /root/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth 0%| | 0.00/44.7M [00:00<?, ?B/s] 43%|âââââ | 19.2M/44.7M [00:00<00:00, 201MB/s] 87%|âââââââââ | 39.0M/44.7M [00:00<00:00, 205MB/s] 100%|ââââââââââ| 44.7M/44.7M [00:00<00:00, 206MB/s] Traceback (most recent call last): File "hpo.py", line 194, in <module> main(args) File "hpo.py", line 143, in main train(model, train_loader, criterion, optimizer, epoch, device) File "hpo.py", line 57, in train for data, target in train_loader: ValueError: too many values to unpack (expected 2), exit code: 1
here is my code
if anyone could help i will be very appreciated
thanks in advance