[64, 128, 256]] YOLOv5n summary: 214 layers, 1872157 parameters, 1872157 gradients Layer (type) Output Shape Param # === model.0.conv.weight [16, 3, 6, 6] 1728 model.0.bn.weight torch.Size([16]) 16 model.0.bn.bias torch.Size([16]) 16 model.1.conv.weight [32, 16, 3...
Can I have my searched hyper-parameters back? (I already have the database file, but I do not know how to find the best hyperparameters based on sql operations). Do you all have any idea? Any suggestions would much appreciated!