Adding Evaluation Results

README.md

@@ -1,9 +1,112 @@
 ---
+language:
+- en
 license: llama2
 datasets:
 - sordonia/flan-10k-flat
-language:
-- en
+model-index:
+- name: Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 53.24
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 78.43
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 48.43
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 45.66
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 72.3
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ 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: 19.48
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
+ name: Open LLM Leaderboard
 ---
 
 Hi there! this is a test of my "AFR training" approach
@@ -48,4 +151,17 @@ The function works by iteratively dividing the range of the array into two sub-r
 
 The code also includes a test case to demonstrate how to use the `binary_search` function. In this case, the target element is 5, and the function returns the index of the element 5 in the array.
 
-I hope this helps! Let me know if you have any questions.
+I hope this helps! Let me know if you have any questions.
+# [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_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2)
+
+| Metric |Value|
+|---------------------------------|----:|
+|Avg. |52.92|
+|AI2 Reasoning Challenge (25-Shot)|53.24|
+|HellaSwag (10-Shot) |78.43|
+|MMLU (5-Shot) |48.43|
+|TruthfulQA (0-shot) |45.66|
+|Winogrande (5-shot) |72.30|
+|GSM8k (5-shot) |19.48|
+