Update README.md

README.md

@@ -21,15 +21,15 @@ This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.c
 
 ## Model description
 
-More information needed
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Object%20Detection/Trained%2C%20But%20to%20Standard/Wall%20Damage%20Object%20Detection/Wall_Damage_Object_Detection_YOLOS.ipynb
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://huggingface.co/datasets/Francesco/wall-damage
 
 ## Training procedure
 
@@ -46,6 +46,21 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Metric Name | IoU | Area  | maxDets | Metric Value |
+|:-----:|:-----:|:-----:|:-----:|:-----:|
+| Average Precision  (AP) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.241 |
+| Average Precision  (AP) | IoU=0.50      | area=   all | maxDets=100 | 0.400 |
+| Average Precision  (AP) | IoU=0.75      | area=   all | maxDets=100 | 0.231 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= small | maxDets=100 | -1.000 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area=medium | maxDets=100 | -1.000 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.241 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=  1 | 0.488 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets= 10 | 0.579 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.621 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= small | maxDets=100 | -1.000 | 
+| Average Recall     (AR) | IoU=0.50:0.95 | area=medium | maxDets=100 | -1.000 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.621 |
+
 ### Framework versions
 
 - Transformers 4.31.0