Adding Evaluation Results (#1)

- Adding Evaluation Results (3f059dd45a16f6f0d1066a4ec90c1e8541559054)

README.md

@@ -1,10 +1,109 @@
----
-license: llama3.1
-datasets:
-- agentlans/crash-course
-base_model:
-- agentlans/Llama3.1-SuperDeepFuse
----
+---
+license: llama3.1
+datasets:
+- agentlans/crash-course
+base_model:
+- agentlans/Llama3.1-SuperDeepFuse
+model-index:
+- name: Llama3.1-SuperDeepFuse-CrashCourse12K
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: wis-k/instruction-following-eval
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 71.87
+      name: averaged accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: SaylorTwift/bbh
+      split: test
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 31.83
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: lighteval/MATH-Hard
+      split: test
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 17.67
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.39
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.6
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 29.24
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K
+      name: Open LLM Leaderboard
+---
 # Llama3.1-SuperDeepFuse-CrashCourse12K
 
 Llama3.1-SuperDeepFuse-CrashCourse12K is an 8B parameter language model based on [Llama3.1-SuperDeepFuse](https://huggingface.co/agentlans/Llama3.1-SuperDeepFuse)
@@ -55,4 +154,18 @@ However:
 ## Additional Information
 
 - For the original model, see [agentlans/Llama3.1-SuperDeepFuse](https://huggingface.co/agentlans/Llama3.1-SuperDeepFuse)
-- For the base Llama 3.1 model, including training data and model architecture, refer to the original [Llama 3.1](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) model card.
+- For the base Llama 3.1 model, including training data and model architecture, refer to the original [Llama 3.1](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) model card.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama3.1-SuperDeepFuse-CrashCourse12K-details)!
+Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FLlama3.1-SuperDeepFuse-CrashCourse12K&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    27.93|
+|IFEval (0-Shot)    |    71.87|
+|BBH (3-Shot)       |    31.83|
+|MATH Lvl 5 (4-Shot)|    17.67|
+|GPQA (0-shot)      |     8.39|
+|MuSR (0-shot)      |     8.60|
+|MMLU-PRO (5-shot)  |    29.24|
+