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

@@ -1,11 +1,106 @@
 ---
-license: mit
-datasets:
-- mlabonne/orpo-dpo-mix-40k
 language:
 - en
+license: mit
 tags:
 - ORPO
+datasets:
+- mlabonne/orpo-dpo-mix-40k
+model-index:
+- name: Barcenas-14b-Phi-3-medium-ORPO
+  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: 47.99
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      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: 51.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      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: 17.45
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      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: 10.18
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      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: 20.53
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      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: 41.37
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
+      name: Open LLM Leaderboard
 ---
 Barcenas-14b-Phi-3-medium-ORPO
 
@@ -13,4 +108,17 @@ Model trained with the innovative ORPO method, based on the robust VAGOsolutions
 
 The model was trained with the dataset: mlabonne/orpo-dpo-mix-40k, which combines diverse data sources to enhance conversational capabilities and contextual understanding.
 
-Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
+Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
+# [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_Danielbrdz__Barcenas-14b-Phi-3-medium-ORPO)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |31.42|
+|IFEval (0-Shot)    |47.99|
+|BBH (3-Shot)       |51.03|
+|MATH Lvl 5 (4-Shot)|17.45|
+|GPQA (0-shot)      |10.18|
+|MuSR (0-shot)      |20.53|
+|MMLU-PRO (5-shot)  |41.37|
+