Update README.md

README.md

@@ -19,18 +19,28 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+The Labour-Law-SA-QA model is a fine-tuned version of the aubmindlab/bert-base-arabert model on a custom dataset of questions and answers about labour law in Saudi Arabia.
+The model is trained to predict the answer to a question given the question text and the context of the surrounding text.
 
 ## Intended uses & limitations
 
-More information needed
+The Labour-Law-SA-QA model is intended to be used to answer questions about labour law in Saudi Arabia. 
+The model is not intended to be used for legal advice, and it should not be used to replace the advice of a qualified lawyer.
+The model is limited by the quality of the training data.
+If the training data is not representative of the real-world questions that the model will be asked, then the model's performance will be degraded.
 
 ## Training and evaluation data
 
-More information needed
+The Labour-Law-SA-QA model was trained on a custom dataset of questions and answers about labour law in Saudi Arabia.
+The dataset was created by collecting questions from a variety of sources, including government websites.
+The dataset was then manually cleaned and verified to ensure that the questions and answers were accurate and relevant.
 
 ## Training procedure
 
+The Labour-Law-SA-QA model was trained using the Hugging Face Transformers library: https://huggingface.co/transformers/. 
+The model was fine-tuned using the Adam optimizer with a learning rate of 2e-05.
+The model was trained for 9 epochs, and the training was stopped early when the validation loss did not improve for 3 consecutive epochs.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: