Adding Evaluation Results

README.md

@@ -1,12 +1,7 @@
 ---
-datasets:
-- jondurbin/gutenberg-dpo-v0.1
-- Qwen/Qwen2.5-14B-Instruct
-- HuggingFaceH4/ultrafeedback_binarized
-base_model:
-- Qwen/Qwen2.5-14B-Instruct
-- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
-- tanliboy/lambda-qwen2.5-14b-dpo-test
+language:
+- en
+license: apache-2.0
 library_name: transformers
 tags:
 - qwen
@@ -21,10 +16,110 @@ tags:
 - storywriting
 - roleplay
 - novelwriting
-license: apache-2.0
-language:
-- en
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+- tanliboy/lambda-qwen2.5-14b-dpo-test
+datasets:
+- jondurbin/gutenberg-dpo-v0.1
+- Qwen/Qwen2.5-14B-Instruct
+- HuggingFaceH4/ultrafeedback_binarized
 pipeline_tag: text-generation
+model-index:
+- name: Qwen2.5-Lumen-14B
+  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: 80.64
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      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: 48.51
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      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: 0.0
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      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: 10.4
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      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: 10.29
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      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: 43.36
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-Lumen-14B
+      name: Open LLM Leaderboard
 ---
 
 # Qwen2.5-Lumen-14B
@@ -226,4 +321,17 @@ The following models were included in the merge:
 -------------------------------------------------------------------------------
 
 - Context Length: Full 131,072 tokens and generation 8192 tokens
-- Qwen2(ChatML) Prompt format
+- Qwen2(ChatML) Prompt format
+# [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_v000000__Qwen2.5-Lumen-14B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |32.20|
+|IFEval (0-Shot)    |80.64|
+|BBH (3-Shot)       |48.51|
+|MATH Lvl 5 (4-Shot)| 0.00|
+|GPQA (0-shot)      |10.40|
+|MuSR (0-shot)      |10.29|
+|MMLU-PRO (5-shot)  |43.36|
+