Update README.md

README.md

@@ -2,16 +2,17 @@
 license: apache-2.0
 datasets:
 - JetBrains/KExercises
+base_model: meta-llama/CodeLlama-7b-hf
 results:
-  - task:
-      type: text-generation
-    dataset:
-      name: MultiPL-HumanEval (Kotlin)
-      type: openai_humaneval
-    metrics:
-      - name: pass@1
-        type: pass@1
-        value: 42.24
+- task:
+    type: text-generation
+  dataset:
+    name: MultiPL-HumanEval (Kotlin)
+    type: openai_humaneval
+  metrics:
+  - name: pass@1
+    type: pass@1
+    value: 42.24
 tags:
 - code
 ---
@@ -72,12 +73,12 @@ More details about finetuning can be found in the technical report
 
 # Fine-tuning data
 
-For this model we used 15K exmaples of Kotlin Exercices dataset {TODO: link!}. Every example follows HumanEval like format. In total dataset contains about 3.5M tokens. 
+For this model we used 15K exmaples of [Kotlin Exercices dataset](https://huggingface.co/datasets/JetBrains/KExercises). Every example follows HumanEval like format. In total dataset contains about 3.5M tokens. 
 For more information about the dataset follow the link.
 
 # Evaluation 
 
-To evaluate we used Kotlin Humaneval (more infromation here)
+To evaluate we used Kotlin Humaneval ([more infromation here](https://huggingface.co/datasets/JetBrains/Kotlin_HumanEval))
 
 Fine-tuned model: