$ # this script uses the torchmetrics library to calculate accuracy $ pip install torchmetrics $ python3 eval-resnet.py 77709 2023-02-03 16:58:32,745 - INFO - Starting... 2023-02-03 16:58:33,669 - INFO - Created the client 2023-02-03 16:58:33,669 - INFO - Fetching task 77709... 2023-02-03 16:58:33,887 - INFO - Task 77709 is not yet cached or the cache is corrupted 2023-02-03 16:58:33,889 - INFO - Downloading data metadata... 2023-02-03 16:58:34,107 - INFO - Downloaded data metadata 2023-02-03 16:58:34,108 - INFO - Downloading chunks... 2023-02-03 16:58:34,109 - INFO - Downloading chunk #0... 2023-02-03 16:58:34,873 - INFO - All chunks downloaded 2023-02-03 16:58:34,873 - INFO - Downloading annotations... 2023-02-03 16:58:35,166 - INFO - Downloaded annotations 2023-02-03 16:58:35,362 - INFO - Created the testing dataset 2023-02-03 16:58:35,362 - INFO - Created data loader 2023-02-03 16:58:35,749 - INFO - Started evaluation 2023-02-03 16:58:36,355 - INFO - Finished evaluation Accuracy of the network: 80.00%