Adding Evaluation Results

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 library_name: Transformers
 tags:
 - transformers
@@ -7,7 +8,109 @@ tags:
 - direct-preference-optimization
 datasets:
 - Intel/orca_dpo_pairs
-license: apache-2.0
+model-index:
+- name: NeuralPizza-7B-V0.2
+ 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: 68.77
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ 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: 86.11
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ 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: 64.32
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ 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: 61.38
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ 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: 80.35
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ 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: 68.61
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=RatanRohith/NeuralPizza-7B-V0.2
+ name: Open LLM Leaderboard
 ---
 
 ## Model Description
@@ -21,3 +124,17 @@ This model is primarily intended for research and experimental applications in l
 ## Training Data
 
 The model was fine-tuned using the Intel/orca_dpo_pairs dataset. This dataset is designed for applying and testing Direct Preference Optimization techniques in language models.
+
+# [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_RatanRohith__NeuralPizza-7B-V0.2)
+
+| Metric |Value|
+|---------------------------------|----:|
+|Avg. |71.59|
+|AI2 Reasoning Challenge (25-Shot)|68.77|
+|HellaSwag (10-Shot) |86.11|
+|MMLU (5-Shot) |64.32|
+|TruthfulQA (0-shot) |61.38|
+|Winogrande (5-shot) |80.35|
+|GSM8k (5-shot) |68.61|
+