Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,9 +1,104 @@
 ---
-license: mit
 language:
 - en
+license: mit
 base_model:
 - meta-llama/Llama-3.2-3B-Instruct
+model-index:
+- name: Gladiator-Mini-Exp-1222-3B-Instruct
+  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: 61.63
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      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: 20.57
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      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: 13.44
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      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: 1.79
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      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: 1.6
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      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: 22.41
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct
+      name: Open LLM Leaderboard
 ---
 
 *   **Model size: 3.21B parameters**
@@ -70,4 +165,17 @@ Thanks to Meta for the fantastic Llama-3.2-3B model!
 
 **Finetuning Dataset:**
 
-*   The model was fine-tuned on a privately collected dataset. Further details on training data are withheld.
+*   The model was fine-tuned on a privately collected dataset. Further details on training data are withheld.
+# [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/MultivexAI__Gladiator-Mini-Exp-1222-3B-Instruct-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.24|
+|IFEval (0-Shot)    |61.63|
+|BBH (3-Shot)       |20.57|
+|MATH Lvl 5 (4-Shot)|13.44|
+|GPQA (0-shot)      | 1.79|
+|MuSR (0-shot)      | 1.60|
+|MMLU-PRO (5-shot)  |22.41|
+