Update README.md

README.md

@@ -1,21 +1,21 @@
 ---
 model-index:
-  - name: MetaMath-LoRA-LLaMA-7B
-    results:
-      - task:
-          type: text-generation
-        dataset:
-          name: meta-math/MetaMathQA
-          type: meta-math/MetaMathQA
-        metrics:
-          - name: Accuracy (zero-shot)
-            type: Accuracy (zero-shot)
-            value: 0.635
-            verified: true
-        source:
-          name: Arithmetic Reasoning on GSM8K
-          url: https://paperswithcode.com/sota/arithmetic-reasoning-on-gsm8k
-license: mit
+- name: MetaMath-LoRA-LLaMA-7B
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: meta-math/MetaMathQA
+      type: meta-math/MetaMathQA
+    metrics:
+    - name: Accuracy (zero-shot)
+      type: Accuracy (zero-shot)
+      value: 0.635
+      verified: true
+    source:
+      name: Arithmetic Reasoning on GSM8K
+      url: https://paperswithcode.com/sota/arithmetic-reasoning-on-gsm8k
+license: apache-2.0
 ---
 
 # Fine-tune LLaMA 2 (7B) with LoRA on meta-math/MetaMathQA
@@ -29,3 +29,10 @@ Invalid output length: 3, Testing length: 1319, **Accuracy: 0.635**
 The official report **accuracy is 0.665** by fine-tuning the whole LLaMA 2 7B model for 3 epochs.
 
 **Note**: The LoRA adapter is being used for future research purposes.
+
+# 🚀 Adapter Usage
+```python
+# Load the Pre-trained LoRA Adapter
+model.load_adapter("shuyuej/metamath_lora_llama2_7b_2_epoch")
+model.enable_adapters()
+```