Update README.md

README.md

@@ -1,8 +1,6 @@
 ---
 datasets:
 - imagenet-1k
-language:
-- en
 metrics:
 - accuracy
 library_name: timm
@@ -10,7 +8,7 @@ library_name: timm
 
 # Model Card for Model ID
 
-Based on **quasi-linear hyperbolic systems of PDEs**, the QLNet enters an uncharted water of ConvNet model space marked by the use of multiplication (of same-sized tensors) instead of ReLU as the primary nonlinearities. It achieves comparable accuracy as ResNet50 on ImageNet-1k, demonstrating that it has the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the broader community.
+Based on **quasi-linear hyperbolic systems of PDEs**, the QLNet enters an uncharted water of ConvNet model space marked by the use of (element-wise) multiplication instead of ReLU as the primary nonlinearities. It achieves comparable accuracy as ResNet50 on ImageNet-1k, demonstrating that it is endowed with the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the broader community.
 
 *This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).*
 
@@ -25,7 +23,7 @@ Instead of the `bottleneck` block of ResNet50 which consists of 1x1, 3x3, 1x1 in
 
 
 - **Developed by:** Yao Liu 刘杳
-- **Model type:** Convolutiona Neural Network (ConvNet)
+- **Model type:** Convolutional Neural Network (ConvNet)
 - **License:** [More Information Needed]
 - **Finetuned from model:** N/A (*trained from scratch*)
 
@@ -33,8 +31,8 @@ Instead of the `bottleneck` block of ResNet50 which consists of 1x1, 3x3, 1x1 in
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [A Novel ConvNet Architecture with a Continuous Symmetry](https://arxiv.org/abs/2308.01621)
+- **Repository:** [ConvNet from the PDE perspective](https://github.com/liuyao12/ConvNets-PDE-perspective)
+- **Paper:** [A Novel ConvNet Architecture with a Continuous Symmetry](https://arxiv.org/abs/2308.01621)
 - **Demo [optional]:** [More Information Needed]
 
 ## How to Get Started with the Model