Adding Evaluation Results

README.md

@@ -1,21 +1,115 @@
 ---
+language:
+- fr
+- en
 license: apache-2.0
-base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
 library_name: peft
 tags:
 - llama-factory
 - lora
+base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
 datasets:
-  - Snit/french-conversation
-  - Nekochu/novel17_train_alpaca_format
-  - bofenghuang/vigogne
-  - MaziyarPanahi/french_instruct_human_sharegpt
-  - jpacifico/French-Alpaca-dataset-Instruct-110K
-  - jpacifico/french-orca-dpo-pairs-revised
-  
-language:
-  - fr
-  - en
+- Snit/french-conversation
+- Nekochu/novel17_train_alpaca_format
+- bofenghuang/vigogne
+- MaziyarPanahi/french_instruct_human_sharegpt
+- jpacifico/French-Alpaca-dataset-Instruct-110K
+- jpacifico/french-orca-dpo-pairs-revised
+model-index:
+- name: Llama-3.1-8B-french-DPO
+  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: 46.56
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      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: 30.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      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: 4.08
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      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: 5.48
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      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: 11.56
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      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: 26.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nekochu/Llama-3.1-8B-french-DPO
+      name: Open LLM Leaderboard
 ---
 
 - Similar to the old [Nekochu/Llama-2-13B-fp16-french](https://huggingface.co/Nekochu/Llama-2-13B-fp16-french) with additional datasets.
@@ -148,4 +242,17 @@ SupportedContentEn explorant cette opposition fascinante entre la glace et le fe
 
 Note: Output by exl2-DPO. `QLoRA_french_sft` is more stable to avoid any gibberi  like ""`harmonieuseassistant.scalablytyped`"".
 
-</details>
+</details>
+# [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_Nekochu__Llama-3.1-8B-french-DPO)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.76|
+|IFEval (0-Shot)    |46.56|
+|BBH (3-Shot)       |30.03|
+|MATH Lvl 5 (4-Shot)| 4.08|
+|GPQA (0-shot)      | 5.48|
+|MuSR (0-shot)      |11.56|
+|MMLU-PRO (5-shot)  |26.82|
+