Adding Evaluation Results

README.md

@@ -1,24 +1,31 @@
 ---
-license: apache-2.0
-library_name: peft
-base_model: rishiraj/CatPPT-base
-datasets:
-- HuggingFaceH4/no_robots
 language:
 - en
-widget:
-  - text: |
-      <|system|>
-      You are a friendly chatbot who always responds in the style of a pirate</s>
-      <|user|>
-      How many helicopters can a human eat in one sitting?</s>
-      <|assistant|>
-    output:
-      text: >-
-        Aye, me hearties! 'Tis not likely a human can eat a helicopter in any sittin', let alone one! They be too big and made of metal, and not fit for consumption. But if ye be referrin' to helicopter snacks, like nuts and trail mix, then a human might be able to munch a goodly amount in one sittin'. Arr!
+license: apache-2.0
+library_name: peft
 tags:
 - generated_from_trainer
 - merge
+datasets:
+- HuggingFaceH4/no_robots
+base_model: rishiraj/CatPPT-base
+widget:
+- text: '<|system|>
+
+    You are a friendly chatbot who always responds in the style of a pirate</s>
+
+    <|user|>
+
+    How many helicopters can a human eat in one sitting?</s>
+
+    <|assistant|>
+
+    '
+  output:
+    text: Aye, me hearties! 'Tis not likely a human can eat a helicopter in any sittin',
+      let alone one! They be too big and made of metal, and not fit for consumption.
+      But if ye be referrin' to helicopter snacks, like nuts and trail mix, then a
+      human might be able to munch a goodly amount in one sittin'. Arr!
 pipeline_tag: text-generation
 model-index:
 - name: CatPPT
@@ -121,4 +128,17 @@ The following hyperparameters were used during training:
   journal = {Hugging Face repository},
   howpublished = {\url{https://huggingface.co/rishiraj/CatPPT}}
 }
-```
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rishiraj__CatPPT)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |72.32|
+|AI2 Reasoning Challenge (25-Shot)|68.09|
+|HellaSwag (10-Shot)              |86.69|
+|MMLU (5-Shot)                    |65.16|
+|TruthfulQA (0-shot)              |61.55|
+|Winogrande (5-shot)              |81.61|
+|GSM8k (5-shot)                   |70.81|
+