I'm new to this study.So I want to recurrence your work,but aftter the end of 'python training.py --name mnist --params configs/mnist_params.yaml --commit none ', I can't get a clear result.
i can see some of the processes while the program is running.But there is no logs in runs/ or saved_models/ . and ' No scalar data was found. ' in tensorboard.
like thouse:
2022-11-26 22:03:54 - WARNING - Backdoor True . Epoch: 349. Accuracy: Top-1: 100.00 | Loss: value: 0.00
0it [00:00, ?it/s]2022-11-26 22:03:54 - INFO - Epoch: 350. Batch: 0/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.25', 'normal: 0.75']
99it [00:03, 28.02it/s]2022-11-26 22:03:58 - INFO - Epoch: 350. Batch: 100/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.23', 'normal: 0.77']
197it [00:07, 28.73it/s]2022-11-26 22:04:01 - INFO - Epoch: 350. Batch: 200/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.21', 'normal: 0.79']
I'm new to this study.So I want to recurrence your work,but aftter the end of 'python training.py --name mnist --params configs/mnist_params.yaml --commit none ', I can't get a clear result. i can see some of the processes while the program is running.But there is no logs in runs/ or saved_models/ . and ' No scalar data was found. ' in tensorboard. like thouse: 2022-11-26 22:03:54 - WARNING - Backdoor True . Epoch: 349. Accuracy: Top-1: 100.00 | Loss: value: 0.00 0it [00:00, ?it/s]2022-11-26 22:03:54 - INFO - Epoch: 350. Batch: 0/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.25', 'normal: 0.75'] 99it [00:03, 28.02it/s]2022-11-26 22:03:58 - INFO - Epoch: 350. Batch: 100/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.23', 'normal: 0.77'] 197it [00:07, 28.73it/s]2022-11-26 22:04:01 - INFO - Epoch: 350. Batch: 200/938. Losses: ['backdoor: 0.00', 'normal: 0.00', 'total: 0.00']. Scales: ['backdoor: 0.21', 'normal: 0.79']