JonasSchult / Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
MIT License
525 stars 103 forks source link

About the loss in train #137

Closed windfill closed 10 months ago

windfill commented 10 months ago

Thanks for your great work and release the code! I would be grateful if you could provide the loss log during the training process of the s3dis data set or other datasets. On my custom data set, the final loss is still very large.

Epoch 598: 66%|██████▋ | 265/400 [08:19<04:14, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 66%|██████▋ | 266/400 [08:21<04:12, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 66%|██████▋ | 266/400 [08:21<04:12, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 267/400 [08:22<04:10, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 267/400 [08:22<04:10, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 268/400 [08:24<04:08, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 268/400 [08:24<04:08, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 269/400 [08:26<04:06, 1.88s/it, loss=20.1, v_num=rain] Epoch 598: 67%|██████▋ | 269/400 [08:26<04:06, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 68%|██████▊ | 270/400 [08:28<04:04, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 68%|██████▊ | 270/400 [08:28<04:04, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 68%|██████▊ | 271/400 [08:30<04:03, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 68%|██████▊ | 271/400 [08:30<04:03, 1.88s/it, loss=20.2, v_num=rain] Epoch 598: 68%|██████▊ | 272/400 [08:32<04:01, 1.88s/it, loss=20.2, v_num=rain]

windfill commented 10 months ago

@JonasSchult

Lizhinwafu commented 2 months ago

Have you solved this issue?