Adding Evaluation Results

README.md

@@ -1,23 +1,128 @@
 ---
+language:
+- en
+- ko
 license: other
+library_name: transformers
+tags:
+- pytorch
+- Yi-Ko
+- 01-ai
+- Yi
 license_name: yi-license
 license_link: LICENSE.md
 extra_gated_heading: Access beomi/Yi-Ko-6B on Hugging Face
 extra_gated_button_content: Submit
 extra_gated_fields:
   I agree to share my name, email address and username: checkbox
-  I confirm that I understand this project is for research purposes only, and confirm that I agree to follow the LICENSE of this model: checkbox
-language:
-- en
-- ko
+  ? I confirm that I understand this project is for research purposes only, and confirm
+    that I agree to follow the LICENSE of this model
+  : checkbox
 pipeline_tag: text-generation
 inference: false
-tags:
-- pytorch
-- Yi-Ko
-- 01-ai
-- Yi
-library_name: transformers
+model-index:
+- name: Yi-Ko-6B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 48.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 74.48
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 55.72
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 37.09
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 72.93
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 12.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beomi/Yi-Ko-6B
+      name: Open LLM Leaderboard
 ---
 
 > Update @ 2024.01.29 New Model [beomi/Yi-Ko-DUS-9B](https://huggingface.co/beomi/Yi-Ko-DUS-9B) Released! 🎉
@@ -120,4 +225,17 @@ Please use this bibtex below:
 
 ## Acknowledgement
 
-The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
+The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_beomi__Yi-Ko-6B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |50.27|
+|AI2 Reasoning Challenge (25-Shot)|48.89|
+|HellaSwag (10-Shot)              |74.48|
+|MMLU (5-Shot)                    |55.72|
+|TruthfulQA (0-shot)              |37.09|
+|Winogrande (5-shot)              |72.93|
+|GSM8k (5-shot)                   |12.51|
+