Adding Evaluation Results

README.md

@@ -1,14 +1,109 @@
 ---
-base_model: mistralai/Mistral-Nemo-Base-2407
+language:
+- en
+license: apache-2.0
 tags:
 - instruct
 - finetune
 - chatml
 - axolotl
 - roleplay
-license: apache-2.0
-language:
-- en
+base_model: mistralai/Mistral-Nemo-Base-2407
+model-index:
+- name: Pantheon-RP-1.6-12b-Nemo-KTO
+  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: 46.36
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      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: 33.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      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: 3.85
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      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: 6.04
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      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: 12.17
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      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: 26.46
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO
+      name: Open LLM Leaderboard
 ---
 ![image/png](Pantheon.png)
 # Pantheon-RP-1.6-12b-Nemo-KTO
@@ -152,4 +247,17 @@ I have the following improvements on my todo list;
 - Anyone I forgot to mention, just in case!
 
 ## Finally
-If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?
+If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?
+# [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_Gryphe__Pantheon-RP-1.6-12b-Nemo-KTO)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |21.32|
+|IFEval (0-Shot)    |46.36|
+|BBH (3-Shot)       |33.03|
+|MATH Lvl 5 (4-Shot)| 3.85|
+|GPQA (0-shot)      | 6.04|
+|MuSR (0-shot)      |12.17|
+|MMLU-PRO (5-shot)  |26.46|
+