Update README.md

README.md

@@ -12,27 +12,30 @@ probably proofread and complete it, then remove this comment. -->
 
 # srimoyee12/my_awesome_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [Auditor Review](https://huggingface.co/datasets/demo-org/auditor_review).
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [Auditor Review Dataset](https://huggingface.co/datasets/demo-org/auditor_review).
 It achieves the following results on the evaluation set:
 - Train Loss: 0.1735
 - Validation Loss: 0.3834
 - Train Accuracy: 0.8524
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
-More information needed
+This is a simple classifier model based on DistilBERT. It classifies given data into Negative, Neutral or Positive based on the sentiment.
 
 ## Intended uses & limitations
 
-More information needed
+Can be used for text classification.
+
+This is created for illustration purposes and might not have the highest accuracy.
 
 ## Training and evaluation data
 
-More information needed
+Default split from the [dataset card](https://huggingface.co/datasets/demo-org/auditor_review)
 
 ## Training procedure
 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: