Adding Evaluation Results

README.md

@@ -1,10 +1,8 @@
 ---
-license: other
-license_name: gemma-terms-of-use
-license_link: https://ai.google.dev/gemma/terms
 language:
 - de
 - en
+license: other
 tags:
 - sft
 - laserRMT
@@ -12,6 +10,103 @@ tags:
 - finetune
 - work in progress
 - alpha
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+model-index:
+- name: SauerkrautLM-Gemma-2b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 24.75
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 9.13
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 1.96
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 0.89
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      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: 3.51
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      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: 5.21
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Gemma-2b
+      name: Open LLM Leaderboard
 ---
 
 ![SauerkrautLM](https://vago-solutions.ai/wp-content/uploads/2024/03/sauerkrautgemma-2b.png "SauerkrautLM-Gemma-2b")
@@ -201,4 +296,17 @@ If you are interested in customized LLMs for business applications, please get i
 We are also keenly seeking support and investment for our startups, VAGO solutions and Hyperspace where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.de/#Kontakt), [Hyperspace.computer](https://hyperspace.computer/)
 
 ## Acknowledgement
-Many thanks to [google](https://huggingface.co/google) for providing such valuable model to the Open-Source community
+Many thanks to [google](https://huggingface.co/google) for providing such valuable model to the Open-Source community
+# [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/details_VAGOsolutions__SauerkrautLM-Gemma-2b)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               | 7.58|
+|IFEval (0-Shot)    |24.75|
+|BBH (3-Shot)       | 9.13|
+|MATH Lvl 5 (4-Shot)| 1.96|
+|GPQA (0-shot)      | 0.89|
+|MuSR (0-shot)      | 3.51|
+|MMLU-PRO (5-shot)  | 5.21|
+