Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,9 +1,112 @@
 ---
 license: llama2
-base_model: codellama/CodeLlama-13b-Instruct-hf
 tags:
 - moe
 - merge
+base_model: codellama/CodeLlama-13b-Instruct-hf
+model-index:
+- name: Winged-Lagomorph-2x13B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 47.95
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 69.39
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 44.5
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 44.54
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 67.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 25.63
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Winged-Lagomorph-2x13B
+      name: Open LLM Leaderboard
 ---
 
 Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Use the WhiteRabbitNeo template for regular code, and the NR template for function calling. 
@@ -55,4 +158,17 @@ Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Use the White
     
     In this example, `vulnerable_program` is the name of the vulnerable program, and `shellcraft.sh()` is a function from pwntools that generates shellcode for a Linux/x86-64 system. The `cyclic_find` function is used to find the offset at which the buffer overflow occurs.
     
-    Please note that this script is a basic example and may not work in all cases. It's important to tailor the script to the specific vulnerability and environment you are working with.
+    Please note that this script is a basic example and may not work in all cases. It's important to tailor the script to the specific vulnerability and environment you are working with.
+# [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_lodrick-the-lafted__Winged-Lagomorph-2x13B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |49.90|
+|AI2 Reasoning Challenge (25-Shot)|47.95|
+|HellaSwag (10-Shot)              |69.39|
+|MMLU (5-Shot)                    |44.50|
+|TruthfulQA (0-shot)              |44.54|
+|Winogrande (5-shot)              |67.40|
+|GSM8k (5-shot)                   |25.63|
+