Update README.md

README.md

@@ -5,6 +5,7 @@ tags:
 - generated_from_trainer
 - NLP Regression
 - Regression
+- Edmunds Car Reviews
 model-index:
 - name: bert-base-uncased-Regression-Edmunds_Car_Reviews
   results: []
@@ -17,7 +18,8 @@ metrics:
 
 # bert-base-uncased-Regression-Edmunds_Car_Reviews
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.2324
 - Mse: 0.2324
@@ -26,15 +28,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/NLP%20Regression/Edmunds%20Car%20Reviews%20(BERT-Base)/Edmunds_Consumer_car_Regression_All_Manufacturers_Bert_Base.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://www.kaggle.com/datasets/ankkur13/edmundsconsumer-car-ratings-and-reviews
 
 ## Training procedure