Update README.md

README.md

@@ -14,7 +14,7 @@ tags:
 
 # Model Card for Model ID
 
-Based on a class of partial differential equations called **quasi-linear hyperbolic systems** [[Liu et al, 2023](https://github.com/liuyao12/ConvNets-PDE-perspective)], the QLNet makes an entry into uncharted waters of ConvNet model space marked by the use of (element-wise) multiplication in lieu of ReLU as the primary nonlinearity. It achieves comparable performance as ResNet50 on ImageNet-1k (acc=**78.4**), demonstrating that it has the same level of capacity/expressivity, and deserves more analysis and study (hyper-paremeter tuning, optimizer, etc.) by the academic community.
+Based on a class of partial differential equations called **quasi-linear hyperbolic systems** [[Liu et al, 2023](https://github.com/liuyao12/ConvNets-PDE-perspective)], the QLNet makes an entry into uncharted waters of ConvNet model space marked by the use of (element-wise) multiplication in lieu of ReLU as the primary nonlinearity. It achieves comparable performance as ResNet50 on ImageNet-1k (acc=**78.61**), demonstrating that it has the same level of capacity/expressivity, and deserves more analysis and study (hyper-paremeter tuning, optimizer, etc.) by the academic community.
 
 
 ![](https://huggingface.co/liuyao/QLNet/resolve/main/PDE_perspective.jpeg)
@@ -87,4 +87,4 @@ python3 train.py ../datasets/imagenet/ --model resnet50 --num-classes 1000 --lr
 
 ### Results
 
-qlnet-50-v0: acc=78.40
+qlnet-50-v0: acc=78.608