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2023-04-04 08:23:03
  rank_zero_warn(
2023-04-04 08:23:03
/homes/hz009/anaconda3/lib/python3.9/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:224: PossibleUserWarning: The dataloader, test_dataloader 0, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 80 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.
2023-04-04 08:23:03
  rank_zero_warn(
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Testing DataLoader 0:   0%|                                                                                                 | 0/2 [00:00<?, ?it/s]
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
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        Test metric               DataLoader 0        
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
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         test_acc              0.5454545617103577     
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        test_auroc             0.4871561527252197     
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        test_fscore            0.1713659167289734     
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└───────────────────────────┴───────────────────────────┘
2023-04-04 08:23:09
/homes/hz009/anaconda3/lib/python3.9/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: No negative samples in targets, false positive value should be meaningless. Returning zero tensor in false positive score
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  warnings.warn(*args, **kwargs)