Update README.md

README.md

@@ -22,7 +22,7 @@
 
 ### Loading the model ###
 
-    ```python
+  ```python
     from peft import PeftModel, PeftConfig
     from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
     HUGGING_FACE_USER_NAME = "mou3az"
@@ -32,11 +32,11 @@
     model = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=False, device_map='auto')
     QG_tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
     QG_model = PeftModel.from_pretrained(model, peft_model_id)
-    ```
+  ```
 
 ### At inference time ###
 
-    ```python
+  ```python
     def get_question(context, answer):
         device = next(L_model.parameters()).device
         input_text = f"Given the context '{context}' and the answer '{answer}', what question can be asked?"
@@ -46,7 +46,7 @@
         out = G_tokenizer.decode(output_tokens[0], skip_special_tokens=True).replace("question:", "").strip()
     
         return out
-    ```
+  ```
 
 ### Training parameters and hyperparameters ###
 
@@ -85,4 +85,18 @@
     | 3.0   | 1.5094        | 1.202135        |
     | 6.0   | 1.2677        | 1.146177        |
     | 9.0   | 1.2613        | 1.112074        |
-    | 12.0  | 1.1958        | 1.109059        |
+    | 12.0  | 1.1958        | 1.109059        |
+
+
+---
+tags:
+  - question-answering
+  - bert
+  - huggingface
+  - transformers
+license: apache-2.0
+model-index:
+  leaderboard: true
+  leaderboard_id: question-answering
+  category: Question Answering
+---