Comments (4)
Please provide the curve of the full training 300 epoches, because the training process will be different with different hyperparameters, rather than just looking at the partial convergence curve
from spikformer.
The hyperparameters are not changed as the one shown in this github repo.
Additionally, may I ask how long did you guys take to train thie model on ImageNet?
from spikformer.
Hi, batch size is one of the most important hyperparameters 。We use 8 Nvidia V100 for 8 days.
from spikformer.
Hi. May I ask which PyTorch version you installed? I couldn't install pytorch==1.10.0+cu111... Thanks!
from spikformer.
Related Issues (20)
- 运行环境问题
- Error of "enumerate(loader) " in line 647 of "imagenet/train.py" HOT 2
- dvs128 code
- assert cupy is not None, 'CuPy is not installed! HOT 9
- 数据处理 HOT 3
- 学习率初始化值问题 HOT 2
- how to get the pretrained weights of the models
- Fail to reproduce the Spikformer-4-256 on CIFAR-10 HOT 2
- Confused about the use of layernormalization in your Imagenet training code.
- Power calculation HOT 2
- 对spikformer V2的疑问 HOT 2
- 对spikformerv2的疑问
- 关于spikformer应用于时间序列的想法
- v2代码什么时候能开源呢
- Pretrained Weight Access
- Connecting Function on CIFAR10-DVS for SpikformerV2
- Energy consumption calculation on CIFAR10 dataset
- Problem about environment HOT 1
- spikformer-main\cifar10\model中模型没有位置嵌入操作
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