Train start time: 2024-12-07_06:57:52 Torch device: cuda Processing dataset... Loaded data: Batch(atomic_numbers=[2400000, 1], batch=[2400000], cell=[6000, 3, 3], edge_cell_shift=[82543766, 3], edge_index=[2, 82543766], forces=[2400000, 3], pbc=[6000, 3], pos=[2400000, 3], ptr=[6001], total_energy=[6000, 1]) processed data size: ~3295.80 MB Cached processed data to disk Done! Successfully loaded the data set of type ASEDataset(6000)... Traceback (most recent call last): File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/bin/nequip-train", line 8, in sys.exit(main()) File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/nequip/scripts/train.py", line 94, in main trainer = fresh_start(config) File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/nequip/scripts/train.py", line 219, in fresh_start trainer.set_dataset(dataset, validation_dataset) File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/nequip/train/trainer.py", line 1217, in set_dataset raise ValueError( ValueError: too little data for training and validation. please reduce n_train and n_val Traceback (most recent call last): File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/bin/nequip-evaluate", line 8, in sys.exit(main()) File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/nequip/scripts/evaluate.py", line 196, in main trainer = torch.load( File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/torch/serialization.py", line 1319, in load with _open_file_like(f, "rb") as opened_file: File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/torch/serialization.py", line 659, in _open_file_like return _open_file(name_or_buffer, mode) File "/users/PAS2490/marcusshen/miniconda3/envs/nequip_env/lib/python3.9/site-packages/torch/serialization.py", line 640, in __init__ super().__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: 'results/adsorption/trainer.pth' Train end time: 2024-12-07_07:00:50 Training duration: 0h 2m 58s