Comments (3)
thx, i check the training logs.
For MobileFaceNet, Training Loss 5.6511 (5.7445) Training Prec@1 48.438 (44.848) Training Prec@5 58.008 (56.868)
For IR-SE-100, Training Loss 1.9620 (0.9541) Training Prec@1 84.375 (88.590) Training Prec@5 89.062 (93.178)
By the way, the validation set acc and megface/ijbc test acc is more important and informative
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Thx for your question. It takes about 8 hours to train mobilefacenet 24 epoch with 8 V100 GPUS, and 27 hours for IR-SE-100.
from cavaface.
@cavalleria thanks i really appreciate your work and your quick response
one more question, what is your Training Loss, Training Prec@1 and Training Prec@5 on ms1m-retinanet dataset for MobileFaceNet and IR-SE-100 after 24 epoches ?
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Related Issues (20)
- se-mobilefacenet can't get better result
- MobileNetV3 HOT 2
- 模型加载问题。 HOT 7
- Vote for FP16 PR HOT 3
- Training Accuracy is Wrong but Validation Accuracy is Corrent HOT 6
- RuntimeError: CUDA error: unspecified launch failure
- Model loading error HOT 2
- When I test mageface and IJB, where are the final test results saved or displayed? HOT 3
- Maxpool in shortcut is redundant HOT 1
- libopencv_core.so.2.4: cannot open shared object file: No such file or directory
- Resume training, load the model and report an error HOT 3
- How to Train Custom Data HOT 5
- Ghostnet training details HOT 6
- unjitted pretrained models and glint training
- IR-100 trained on Glint360k pretrained weights is not avaliable anymore in GoogleDrive, can you upload it again?
- Inconsistent Attention stages
- mobilefacenet pretrained model
- Why the model trained by mobilefacenet is 36.4M?
- support for partial fc
- modify mobilefacenet to accept 224x224 HOT 2
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