Adding Evaluation Results

README.md

@@ -1,8 +1,103 @@
 ---
+license: llama3.1
 library_name: transformers
 tags:
 - not-for-all-audiences
-license: llama3.1
+model-index:
+- name: Llama-3.1-Jamet-8B-MK.I
+  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: 73.38
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      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: 29.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      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: 12.54
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      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: 3.24
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      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: 6.14
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      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: 27.58
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Hastagaras/Llama-3.1-Jamet-8B-MK.I
+      name: Open LLM Leaderboard
 ---
 
 Test model, the base is llama 3.1 instruct abliterated. Context limit unknown
@@ -61,3 +156,17 @@ merged the previous Lora with this finetuned abliterated model
 finnaly, merge the two model using ties
 ```
 
+
+# [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_Hastagaras__Llama-3.1-Jamet-8B-MK.I)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |25.40|
+|IFEval (0-Shot)    |73.38|
+|BBH (3-Shot)       |29.50|
+|MATH Lvl 5 (4-Shot)|12.54|
+|GPQA (0-shot)      | 3.24|
+|MuSR (0-shot)      | 6.14|
+|MMLU-PRO (5-shot)  |27.58|
+