sonica1987

Results 3 issues of sonica1987

Epoch gpu_mem GIoU obj cls total targets img_size 4/99 3.91G 0.08337 0.4457 0 0.5291 258 192: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 19/19 [00:07

步骤按照readme.md进行操作:1、正常训练 (yolov5s 模型 57M) 2、稀疏训练(模型14.4M) 执行剪枝: prune.py 378行: percent_limit = (sorted_bn == highest_thre).nonzero()[0, 0].item() / len(bn_weights) 报错,改为: percent_limit = (sorted_bn == highest_thre).nonzero(as_tuple=False)[0, 0].item() / len(bn_weights)后继续运行剪枝报错如下: model.0.conv.bn BatchNorm2d(32, eps=0.001, momentum=0.03, affine=True,...

![IMG_5772](https://github.com/guinmoon/LLMFarm/assets/17120529/435c6e45-9072-4799-87c2-3ec5bedf2cbb) ![IMG_5771](https://github.com/guinmoon/LLMFarm/assets/17120529/3fab9552-e330-4197-9409-1847105a426f) ![IMG_5770](https://github.com/guinmoon/LLMFarm/assets/17120529/0f92ecfd-5bc7-49f9-93b3-b6ddd55c4b30) I tried qwen 0.5b, 1.8b, 4b, and 7b, and only 0.5b worked properly. However, the result was not as good as the official demo. The output included...