aigc-apps / amformer Goto Github PK
View Code? Open in Web Editor NEWThe AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning
License: GNU General Public License v3.0
The AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning
License: GNU General Public License v3.0
thank you for your applying if you see this question.
作者你好,这是截取的部分结果,从开始到结束几乎不变,请问是哪里出了问题呢
Training - Step: 8720 - Acc: 0.9219 - GPU: 7
Training - Step: 8740 - Acc: 0.9297 - GPU: 7
Training - Step: 8760 - Acc: 0.9375 - GPU: 7
Training - Step: 8780 - Acc: 0.9141 - GPU: 7
Training - Step: 8800 - Acc: 0.9062 - GPU: 7
============Begin Validation============:step:8800
Valid - Step: 8800
Loss: 0.0024
{'loss': {Tensor:()} tensor(0.0024, device='cuda:0'), 'acc': {Tensor:()} tensor(0.9189, device='cuda:0'), 'auc': {Tensor:()} tensor(0.5053, device='cuda:0'), 'mse': {Tensor:()} tensor(0.9189, device='cuda:0')}
Training - Step: 8820 - Acc: 0.8984 - GPU: 7
Training - Step: 8840 - Acc: 0.9531 - GPU: 7
Training - Step: 8860 - Acc: 0.9219 - GPU: 7
Training - Step: 8880 - Acc: 0.9141 - GPU: 7
Training - Step: 8900 - Acc: 0.9375 - GPU: 7
============Begin Validation============:step:8900
Valid - Step: 8900
Loss: 0.0025
{'loss': {Tensor:()} tensor(0.0025, device='cuda:0'), 'acc': {Tensor:()} tensor(0.9176, device='cuda:0'), 'auc': {Tensor:()} tensor(0.5050, device='cuda:0'), 'mse': {Tensor:()} tensor(0.9176, device='cuda:0')}
Training - Step: 8920 - Acc: 0.9141 - GPU: 7
Training - Step: 8940 - Acc: 0.9297 - GPU: 7
Training - Step: 8960 - Acc: 0.9141 - GPU: 7
Training - Step: 8980 - Acc: 0.8828 - GPU: 7
Training - Step: 9000 - Acc: 0.9141 - GPU: 7
============Begin Validation============:step:9000
Valid - Step: 9000
Loss: 0.0024
{'loss': {Tensor:()} tensor(0.0024, device='cuda:0'), 'acc': {Tensor:()} tensor(0.9189, device='cuda:0'), 'auc': {Tensor:()} tensor(0.5052, device='cuda:0'), 'mse': {Tensor:()} tensor(0.9189, device='cuda:0')}
Training - Step: 9020 - Acc: 0.8906 - GPU: 7
尊敬的作者您好:
我想尝试用您的模型进行多分类任务,该怎么运作。
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