Update README.md

README.md

@@ -8,29 +8,38 @@ model-index:
   results: []
 datasets:
 - rajpurkar/squad
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# Kiran2004/Roberta_qca_squad_model
+## Model description
 
 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an [squad](https://huggingface.co/datasets/rajpurkar/squad) dataset.It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering for 6 Epochs.
-It achieves the following results on the evaluation set:
+It achieves the following results after training:
 - Train Loss: 0.1434
 - Validation Loss: 0.4821
+
+## Model Training
+
+- **Training Dataset**: [squad](https://huggingface.co/datasets/rajpurkar/squad)
+- **Pretrained Model**: [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2)
+
+## Evaluation
+
+The model's performance can be evaluated using various metrics such as Accuracy, Recall, Precision, F1 score.
 - Accuracy: 0.9100
 - Precision: 0.9099
 - Recall: 0.9099
 - F1 Score: 0.9603
+  
+## Example Usage
 
-## Model description
-
-More information needed
-
-## Usage
-
-### In Transformers
 ```python
 from transformers import pipeline