Adding Evaluation Results (#1)

- Adding Evaluation Results (aa5538c25962dbd31551bfa7b105e874607a9003)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

README.md

@@ -1,20 +1,115 @@
 ---
+language:
+- zh
+- en
 license: gpl-3.0
+tags:
+- qwen
+- uncensored
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
 datasets:
 - NobodyExistsOnTheInternet/ToxicQAFinal
 - anthracite-org/kalo-opus-instruct-22k-no-refusal
 - Orion-zhen/dpo-toxic-zh
 - unalignment/toxic-dpo-v0.2
 - Crystalcareai/Intel-DPO-Pairs-Norefusals
-language:
-- zh
-- en
-base_model:
-- Qwen/Qwen2.5-7B-Instruct
 pipeline_tag: text-generation
-tags:
-- qwen
-- uncensored
+model-index:
+- name: Qwen2.5-7B-Instruct-Uncensored
+  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: 72.04
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      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: 35.83
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      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: 1.36
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      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: 7.05
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      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: 13.58
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      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: 38.07
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
+      name: Open LLM Leaderboard
 ---
 
 # Qwen2.5-7B-Instruct-Uncensored
@@ -33,4 +128,17 @@ I used SFT + DPO to ensure uncensorment as well as trying to maintain original m
 - DPO:
   - Orion-zhen/dpo-toxic-zh
   - unalignment/toxic-dpo-v0.2
-  - Crystalcareai/Intel-DPO-Pairs-Norefusals
+  - Crystalcareai/Intel-DPO-Pairs-Norefusals
+# [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_Orion-zhen__Qwen2.5-7B-Instruct-Uncensored)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |27.99|
+|IFEval (0-Shot)    |72.04|
+|BBH (3-Shot)       |35.83|
+|MATH Lvl 5 (4-Shot)| 1.36|
+|GPQA (0-shot)      | 7.05|
+|MuSR (0-shot)      |13.58|
+|MMLU-PRO (5-shot)  |38.07|
+