'train_acc': -1, 'valid_acc': -1

The following error occurred when I was using the official documentation tutorial：

env： torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchtext==0.13.0 as same as official documentation windos+python3.8.5

time_limit=auto set to time_limit=7200. Reset labels to [0, 1, 2, 3] Randomly split train_data into train[720]/validation[80] splits. The number of requested GPUs is greater than the number of available GPUs.Reduce the number to 1 Starting fit without HPO modified configs(<old> != <new>): { root.img_cls.model resnet101 != resnet50 root.train.epochs 200 != 50 root.train.early_stop_baseline 0.0 != -inf root.train.batch_size 32 != 16 root.train.early_stop_max_value 1.0 != inf root.train.early_stop_patience -1 != 10 root.misc.seed 42 != 428 root.misc.num_workers 4 != 12 } Saved config to C:\Users\HP\Desktop\autogloun\2b000416.trial_0\config.yaml Model resnet50 created, param count: 23516228 AMP not enabled. Training in float32. Disable EMA as it is not supported for now. Start training from [Epoch 0] time_limit=auto set to time_limit=7200. Reset labels to [0, 1, 2, 3] Randomly split train_data into train[720]/validation[80] splits. The number of requested GPUs is greater than the number of available GPUs.Reduce the number to 1 Starting fit without HPO modified configs(<old> != <new>): { root.img_cls.model resnet101 != resnet50 root.misc.num_workers 4 != 12 root.misc.seed 42 != 204 root.train.early_stop_patience -1 != 10 data/ ├── test/ └── train/ root.train.early_stop_max_value 1.0 != inf root.train.batch_size 32 != 16 root.train.early_stop_baseline 0.0 != -inf root.train.epochs 200 != 50 } Saved config to C:\Users\HP\Desktop\autogloun\1444b6bf.trial_0\config.yaml Model resnet50 created, param count: 23516228 AMP not enabled. Training in float32. Disable EMA as it is not supported for now. Start training from [Epoch 0] Finished, total runtime is 1.50 s { ‘best_config’: { ‘batch_size’: 16, ‘dist_ip_addrs’: None, ‘early_stop_baseline’: -inf, ‘early_stop_max_value’: inf, ‘early_stop_patience’: 10, ‘epochs’: 50, ‘final_fit’: False, ‘gpus’: [0], ‘lr’: 0.01, ‘model’: ‘resnet50’, ‘ngpus_per_trial’: 8, ‘nthreads_per_trial’: 128, ‘num_workers’: 12, ‘searcher’: ‘random’, ‘seed’: 204, ‘time_limits’: 7200}, ‘total_time’: 1.4981746673583984, ‘train_acc’: -1, ‘valid_acc’: -1}

[songziyu2333]

thank u , I can successfully run the tutorial on colab

[bryanyzhu]

I agree, please let me know how it goes on colab. I can also locate a windows environment later to look into this issue.