Update README.md

README.md

@@ -24,12 +24,10 @@ model-index:
       value: 0.8020304568527918
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+<h1>efficientnet-b5-Brain_Tumors_Image_Classification</h1>
 
-# efficientnet-b5-Brain_Tumors_Image_Classification
+This model is a fine-tuned version of [google/efficientnet-b5](https://huggingface.co/google/efficientnet-b5).
 
-This model is a fine-tuned version of [google/efficientnet-b5](https://huggingface.co/google/efficientnet-b5) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9410
 - Accuracy: 0.8020
@@ -43,17 +41,42 @@ It achieves the following results on the evaluation set:
 - Micro precision: 0.8020
 - Macro precision: 0.8682
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+<div style="text-align: center;">
+<h2>
+    Model Description
+</h2>
+<a href="https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Brain%20Tumors%20Image%20Classification%20Comparison/EfficientNet%20-%20Image%20Classification.ipynb">
+    Click here for the code that I used to create this model.
+</a>
+
+This project is part of a comparison of seventeen (17) transformers. 
+<a href="https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Brain%20Tumors%20Image%20Classification%20Comparison/README.md">
+    Click here to see the README markdown file for the full project
+</a>
+<h2>
+    Intended Uses & Limitations
+</h2>
+This model is intended to demonstrate my ability to solve a complex problem using technology.
+
+<h2>
+    Training & Evaluation Data
+</h2>
+<a href="https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri">
+    Brain Tumor Image Classification Dataset
+</a>
+<h2>
+    Sample Images
+</h2>
+<img src="https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Brain%20Tumors%20Image%20Classification%20Comparison/Images/Sample%20Images.png" />
+<h2>
+    Class Distribution of Training Dataset
+</h2>
+<img src="https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Brain%20Tumors%20Image%20Classification%20Comparison/Images/Class%20Distribution%20-%20Training%20Dataset.png"/>
+<h2>
+    Class Distribution of Evaluation Dataset
+</h2>
+<img src="https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Brain%20Tumors%20Image%20Classification%20Comparison/Images/Class%20Distribution%20-%20Testing%20Dataset.png"/>
+</div>
 
 ## Training procedure
 
@@ -76,7 +99,6 @@ The following hyperparameters were used during training:
 | 1.3872        | 2.0   | 360  | 0.9533          | 0.7843   | 0.7483      | 0.7843   | 0.7548   | 0.7843          | 0.7843       | 0.7819       | 0.8354             | 0.7843          | 0.8471          |
 | 0.8186        | 3.0   | 540  | 0.9410          | 0.8020   | 0.7736      | 0.8020   | 0.7802   | 0.8020          | 0.8020       | 0.7977       | 0.8535             | 0.8020          | 0.8682          |
 
-
 ### Framework versions
 
 - Transformers 4.28.1