Update README.md

README.md

@@ -9,8 +9,6 @@ tags:
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-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).
-
 ## Model Details
 
 ### Model Description
@@ -76,8 +74,6 @@ For the outputs, reconstructed solar flare images, it is to have a steady flux i
 
 ## Evaluation
 
-<!-- This section describes the evaluation protocols and provides the results. -->
-
 ### Testing Data, Factors & Metrics
 
 #### Testing Data
@@ -86,24 +82,65 @@ For the outputs, reconstructed solar flare images, it is to have a steady flux i
 
 [More Information Needed]
 
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
+#### Metrics & Results
+
+1. Image Quality
+- **MS-SSIM**: Up to 0.97 ± 0.02 (FCD, VIS_FWDFIT)
+- **LPIPS**: As low as 0.04 ± 0.03 (FCD)
+- **PSNR**: Up to 35.70 ± 3.97 (FCD)
+
+2. Segmentation Accuracy
+- **Dice Coefficient**: Up to 0.83 ± 0.10 (FCD, VIS_FWDFIT)
+- **Hausdorff Distance**: As low as 5.08 ± 6.26 (FCD)
+
+| Metrics             | FCD              | VIS_FWDFIT       | MEM_GE           | CLEAN            |
+|---------------------|------------------|------------------|------------------|------------------|
+| MS-SSIM             | **0.97 ± 0.02**  | 0.97 ± 0.03      | 0.89 ± 0.07      | 0.95 ± 0.03      |
+| LPIPS               | **0.04 ± 0.03**  | 0.05 ± 0.04      | 0.07 ± 0.04      | 0.11 ± 0.04      |
+| PSNR                | **35.70 ± 3.97** | 35.50 ± 4.78     | 32.22 ± 3.93     | 31.77 ± 3.26     |
+| Dice Coefficient    | **0.83 ± 0.08**  | 0.83 ± 0.10      | 0.76 ± 0.10      | 0.76 ± 0.11      |
+| Hausdorff Distance  | **5.08 ± 6.26**  | 5.40 ± 7.33      | 34.46 ± 33.44    | 7.16 ± 6.56      |
+
+3. Signal Reconstruction
+- **MAE**: As low as 0.42 ± 2.11 (MEM_GE)
+- **Cosine Similarity**: Up to 0.97 ± 0.03 (MEM_GE)
+- **Spectral Convergence**: As low as 0.27 ± 0.10 (MEM_GE)
+- **χ²**: As low as 2.14 ± 1.64 (MEM_GE)
+
+| Metrics              | FCD             | VIS_FWDFIT       | MEM_GE           | CLEAN            |
+|----------------------|-----------------|------------------|------------------|------------------|
+| MAE                  | 0.55 ± 2.78     | 0.59 ± 2.95      | **0.42 ± 2.11**  | 0.46 ± 2.04      |
+| Cosine Similarity    | 0.94 ± 0.05     | 0.94 ± 0.06      | **0.97 ± 0.03**  | 0.95 ± 0.05      |
+| Spectral Convergence | 0.31 ± 0.13     | 0.32 ± 0.14      | **0.27 ± 0.10**  | 0.32 ± 0.16      |
+| χ²                   | 3.54 ± 5.70     | 3.63 ± 4.22      | **2.14 ± 1.64**  | 2.98 ± 3.01      |
+
+4. Efficiency
+- **Time-to-Solution**:  
+  - FCD: **0.032 ± 0.005 s**  
+  - CLEAN: 0.032 ± 0.092 s  
+  - VIS_FWDFIT: 5.522 ± 3.655 s  
+  - MEM_GE: 9.048 ± 6.844 s
+
+| Imaging Algorithm | Time-to-Solution (s)   |
+|-------------------|------------------------|
+| VIS_FWDFIT        | 5.522 ± 3.655          |
+| MEM_GE            | 9.048 ± 6.844          |
+| CLEAN             | 0.032 ± 0.092          |
+| FCD               | **0.032 ± 0.005**      |
+
+- **FCD Runtime Scaling**:  
+  - 1–10000 iterations: 0.035–2.069 s
+
+| FCD Runtime      | Time-to-Solution (s)   |
+|------------------|------------------------|
+| Runtime-1        | 0.035 ± 0.006          |
+| Runtime-10       | 0.036 ± 0.010          |
+| Runtime-100      | 0.051 ± 0.008          |
+| Runtime-1000     | 0.240 ± 0.010          |
+| Runtime-10000    | 2.069 ± 0.039          |
 
 #### Summary
 
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
 ## Environmental Impact
 
 Carbon emission is estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).