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 @@
 ---
-base_model:
-- meta-llama/Meta-Llama-3-8B
 language:
 - en
 - ko
-library_name: transformers
 license: llama3
+library_name: transformers
+base_model:
+- meta-llama/Meta-Llama-3-8B
+model-index:
+- name: llama-3-Korean-Bllossom-8B
+  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: 51.13
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      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: 26.93
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      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: 9.82
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      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: 1.68
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      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: 3.63
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      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: 28.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MLP-KTLim/llama-3-Korean-Bllossom-8B
+      name: Open LLM Leaderboard
 ---
 
 <a href="https://github.com/MLP-Lab/Bllossom">
@@ -332,4 +427,17 @@ print(tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=Tru
  - 임현석(Hyeonseok Lim), [email protected]
  - 육정훈(Jeonghun Yuk), [email protected]
  - 유한결(Hangyeol Yoo), [email protected]
- - 송서현(Seohyun Song), [email protected]
+ - 송서현(Seohyun Song), [email protected]
+# [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/MLP-KTLim__llama-3-Korean-Bllossom-8B-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.33|
+|IFEval (0-Shot)    |51.13|
+|BBH (3-Shot)       |26.93|
+|MATH Lvl 5 (4-Shot)| 9.82|
+|GPQA (0-shot)      | 1.68|
+|MuSR (0-shot)      | 3.63|
+|MMLU-PRO (5-shot)  |28.82|
+