📦 Supplemental Checkpoints
We've added supplemental checkpoints for the ablation study on the role of the rank. These checkpoints provide additional insights into the model's behavior under different rank configurations.
Usage
python evaluate.py --ckpt vgg_16_bn_[0.]*100_6.pt -r 6
02/01 09:40:54 AM | args = Namespace(data_dir='~/data', arch='vgg_16_bn', ckpt='app_err/vgg_16_bn/vgg_16_bn_[0.]*100_6.pt', batch_size=256, gpu='0', rank=6, compress_rate='[0.]*100')
Loading data:
Files already downloaded and verified
Files already downloaded and verified
02/01 09:40:55 AM | Loading checkpoint
02/01 09:40:55 AM | Evaluating model:
02/01 09:40:58 AM | * Acc@1 93.450 Acc@5 99.680🚀 Future Updates:
We are committed to transparency and reproducibility. Continuous improvements and expansions to our model collection are underway. Stay tuned for more models and fine-tuned variations based on community feedback and demands.
Once again, thank you for your interest in our project. We hope these supplemental checkpoints empower you to accelerate your projects and research in the domain of network compression.
Happy coding and exploring the world of efficient deep learning!
The NORTON Team
Full Changelog: v0.1.0...v0.2.0