Update README.md

README.md

@@ -36,7 +36,7 @@ FlexCAD is intended to be used by domain experts who are independently capable o
 
 We do not recommend using FlexCAD in commercial or real-world applications without further testing and development. It is being released for research purposes. 
 
-Use in any manner that violates applicable laws and regulations, 
+Use in any manner that violates applicable laws and regulations. 
 
 ## Risks and Limitations
 
@@ -84,15 +84,11 @@ See A.1 in our paper (https://arxiv.org/pdf/2411.05823) for a detailed definitio
 
 #### Training Hyperparameters
 
-LoRA rank and alpha: 8, 32 
-
-Optimizer: AdamW 
-
-Batch size: 32 
-
-Learning rate: 5e-4 
-
-Epochs: 30 
+- LoRA rank and alpha: 8, 32 
+- Optimizer: AdamW 
+- Batch size: 32 
+- Learning rate: 5e-4 
+- Epochs: 30 
 
 #### Speeds, Sizes, Times
 
@@ -110,11 +106,9 @@ The testing data is from an open-source dataset, DeepCAD: https://github.com/Chr
 
 #### Metrics
 
-1. Generation diversity and quality on the generated CAD models in comparison to the test set, including Coverage (COV), Minimum Matching Distance (MMD) and Jensen-Shannon Divergence (JSD) [1][2]. 
-
-2. The percentage of predicted CAD sequences that can be successfully rendered into 3D models, denoted as Prediction Validity (PV). 
-
-3. The percentage of the generated CAD models that are labeled as realistic ones by human evaluators, denoted as Realism.  
+- Generation diversity and quality on the generated CAD models in comparison to the test set, including Coverage (COV), Minimum Matching Distance (MMD) and Jensen-Shannon Divergence (JSD) [1][2]. 
+- The percentage of predicted CAD sequences that can be successfully rendered into 3D models, denoted as Prediction Validity (PV). 
+- The percentage of the generated CAD models that are labeled as realistic ones by human evaluators, denoted as Realism.  
 
 [1] https://arxiv.org/abs/2207.04632