Adding Evaluation Results

README.md

@@ -13,6 +13,109 @@ tags:
 - mistral
 - zephyr
 - codellama
+model-index:
+- name: Moe-4x7b-reason-code-qa
+ 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: 62.54
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ 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: 83.87
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ 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: 61.2
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ 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: 56.12
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ 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: 76.09
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ 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: 54.59
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-4x7b-reason-code-qa
+ name: Open LLM Leaderboard
 ---
 
 
@@ -80,4 +183,17 @@ For detailed instructions on how to integrate and utilize Moe-4x7b-reason-code-q
 
 Citation If you use Moe-4x7b-reason-code-qa in your research or application, please cite it as follows:
 
-@misc{nextai2024moe4x7b, title={Moe-4x7b-reason-code-qa: Enhancing Question Answering and Code Generation with Mixture of Experts}, author={NextAI Team}, year={2024}, publisher={Hugging Face} }
+@misc{nextai2024moe4x7b, title={Moe-4x7b-reason-code-qa: Enhancing Question Answering and Code Generation with Mixture of Experts}, author={NextAI Team}, year={2024}, publisher={Hugging Face} }
+# [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_nextai-team__Moe-4x7b-reason-code-qa)
+
+| Metric |Value|
+|---------------------------------|----:|
+|Avg. |65.73|
+|AI2 Reasoning Challenge (25-Shot)|62.54|
+|HellaSwag (10-Shot) |83.87|
+|MMLU (5-Shot) |61.20|
+|TruthfulQA (0-shot) |56.12|
+|Winogrande (5-shot) |76.09|
+|GSM8k (5-shot) |54.59|
+