Open Along-wang1 opened 8 months ago
CUDA_VISIBLE_DEVICES=0 python main_HTNet.py lr=0.000050, epochs=800, device=cuda 442 ['037', '035', '023', '011', 's11', 'sub02', 's01', 'sub05', 'sub14', 'sub11', '019', '013', '028', 's12', 's19', 'sub25', 'sub22', 's09', '033', 'sub26', 's18', '030', '021', 'sub15', '009', 'sub04', '016', 'sub16', '018', 's02', 'sub23', '020', 's03', 's15', '026', 's06', '015', 'sub19', '010', '036', '006', 'sub21', '024', 'sub17', 'sub24', 's13', 'sub13', 's14', 's20', '012', 'sub06', 'sub01', '031', '022', 'sub20', 'sub12', '032', 'sub07', 's04', '017', 's08', 'sub09', 'sub03', '007', 'sub08', 's05', '034', '014'] Subject: 037 train Best Predicted : [0] Ground Truth : [0] Evaluation until this subject:
This is the instruction I called to train the model and some of the output
You can use this command 'python main_HTNet.py --train True'
Thank you very much for your response. Additionally, I would like to inquire about the duration of training for my code, which takes over 40 hours for a single training session. Is this duration considered normal? How long does it typically take for you to train the model for one iteration?
Using 3090 for training process normally costs 10 hours.
I sincerely thank you for your willingness to dedicate time to address my questions. Your assistance is greatly appreciated.
Hello! Could you please explain why the GPU usage remains at 0% during model training?