correct open llm leaderboard in model card

README.md

@@ -71,7 +71,7 @@ model-index:
         num_few_shot: 25
     metrics:
     - type: acc_norm
-      value: 61.52
+      value: 63.57
       name: normalized accuracy
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
@@ -87,7 +87,7 @@ model-index:
         num_few_shot: 10
     metrics:
     - type: acc_norm
-      value: 80.91
+      value: 82.76
       name: normalized accuracy
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
@@ -104,7 +104,7 @@ model-index:
         num_few_shot: 5
     metrics:
     - type: acc
-      value: 62.02
+      value: 62.23
       name: accuracy
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
@@ -121,7 +121,7 @@ model-index:
         num_few_shot: 0
     metrics:
     - type: mc2
-      value: 51.24
+      value: 52.02
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
       name: Open LLM Leaderboard
@@ -137,7 +137,7 @@ model-index:
         num_few_shot: 5
     metrics:
     - type: acc
-      value: 78.53
+      value: 78.61
       name: accuracy
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
@@ -154,7 +154,7 @@ model-index:
         num_few_shot: 5
     metrics:
     - type: acc
-      value: 58.61
+      value: 63.53
       name: accuracy
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6-7B
@@ -366,7 +366,17 @@ model.generate(**gen_input)
 - https://huggingface.co/bartowski/Einstein-v6-7B-exl2
 
 # 🎯 [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_Weyaxi__Einstein-v6-7B)
 
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |67.12|
+|AI2 Reasoning Challenge (25-Shot)|63.57|
+|HellaSwag (10-Shot)              |82.76|
+|MMLU (5-Shot)                    |62.23|
+|TruthfulQA (0-shot)              |52.02|
+|Winogrande (5-shot)              |78.61|
+|GSM8k (5-shot)                   |63.53|
 
 # 🤖 Additional information about training
 
@@ -394,17 +404,4 @@ Thanks to all open source AI community.
 
 If you would like to support me:
 
-[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
-# [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_Weyaxi__Einstein-v6-7B)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |65.47|
-|AI2 Reasoning Challenge (25-Shot)|61.52|
-|HellaSwag (10-Shot)              |80.91|
-|MMLU (5-Shot)                    |62.02|
-|TruthfulQA (0-shot)              |51.24|
-|Winogrande (5-shot)              |78.53|
-|GSM8k (5-shot)                   |58.61|
-
+[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)