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

@@ -1,5 +1,14 @@
 ---
-inference: true
+language:
+- en
+- fr
+- es
+- ru
+- zh
+- ja
+- fa
+- code
+license: mit
 library_name: transformers
 tags:
 - fluently-lm
@@ -14,22 +23,108 @@ tags:
 - unsloth
 - argilla
 - qwen2
-license: mit
-language:
-- en
-- fr
-- es
-- ru
-- zh
-- ja
-- fa
-- code
 datasets:
 - fluently-sets/ultraset
 - fluently-sets/ultrathink
 - fluently-sets/reasoning-1-1k
 - fluently-sets/MATH-500-Overall
+inference: true
 pipeline_tag: text-generation
+model-index:
+- name: FluentlyLM-Prinum
+  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: 80.9
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      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: 59.48
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      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: 54.0
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      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: 18.23
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      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: 17.26
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      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: 53.42
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=fluently-lm/FluentlyLM-Prinum
+      name: Open LLM Leaderboard
 ---
 
 <img src="https://huggingface.co/fluently-lm/FluentlyLM-Prinum/resolve/main/assets/preview.jpeg" alt="FluentlyLM Logo" width="800" height="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -109,4 +204,17 @@ You can also use our model locally via GGUF file in various interfaces and workf
 
 ## Special thanks
 
-🤗 We are grateful for open source resources, technologies and assistance from: [Unsloth AI](https://unsloth.ai), [Axolotl AI](https://axolotl.ai), [Argilla](https://argilla.io), [Alibaba Cloud: Qwen](https://qwenlm.ai), [NVIDIA](https://huggingface.co/nvidia) and [NousResearch](https://nousresearch.com).
+🤗 We are grateful for open source resources, technologies and assistance from: [Unsloth AI](https://unsloth.ai), [Axolotl AI](https://axolotl.ai), [Argilla](https://argilla.io), [Alibaba Cloud: Qwen](https://qwenlm.ai), [NVIDIA](https://huggingface.co/nvidia) and [NousResearch](https://nousresearch.com).
+# [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/fluently-lm__FluentlyLM-Prinum-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |47.22|
+|IFEval (0-Shot)    |80.90|
+|BBH (3-Shot)       |59.48|
+|MATH Lvl 5 (4-Shot)|54.00|
+|GPQA (0-shot)      |18.23|
+|MuSR (0-shot)      |17.26|
+|MMLU-PRO (5-shot)  |53.42|
+