Describe the bug
Related to the issue
When I do Multihead transfer learning from a personal pre-trained model. I found that the energy_key and forces_key should be the key for pre-training properties(dftb_energy, dftb_forces in this case) rather than dft_energy and dft_forces from args.energy_key and args.forces_key. Otherwise it can not read corrected properties for pt_head.
line 288 .. 323
2024-11-13 13:12:30.501 INFO: ==================Using multiheads finetuning mode==================
2024-11-13 13:12:30.501 INFO: Using foundation model for multiheads finetuning with ../train_pt.xyz
2024-11-13 13:12:32.778 INFO: Training set [7642 configs, 0 energy, 380589 forces] loaded from '../train_pt.xyz'
2024-11-13 13:12:33.279 INFO: Validation set [1000 configs, 1000 energy, 46593 forces] loaded from '../valid_pt.xyz'
2024-11-13 13:12:33.279 INFO: Total number of configurations: train=7642, valid=1000
2024-11-13 13:12:30.501 INFO: ==================Using multiheads finetuning mode==================
2024-11-13 13:12:30.501 INFO: Using foundation model for multiheads finetuning with ../train_pt.xyz
2024-11-13 13:12:32.778 INFO: Training set [7642 configs, 7642 energy, 380589 forces] loaded from '../train_pt.xyz'
2024-11-13 13:12:33.279 INFO: Validation set [1000 configs, 1000 energy, 46593 forces] loaded from '../valid_pt.xyz'
2024-11-13 13:12:33.279 INFO: Total number of configurations: train=7642, valid=1000
Describe the bug Related to the issue When I do Multihead transfer learning from a personal pre-trained model. I found that the
energy_key
andforces_key
should be the key for pre-training properties(dftb_energy, dftb_forces in this case) rather than dft_energy and dft_forces from args.energy_key and args.forces_key. Otherwise it can not read corrected properties for pt_head.line 288 .. 323
To Reproduce
when use
after changing the key