Adding Evaluation Results

README.md

@@ -1,12 +1,107 @@
 ---
-license: mit
-license_link: https://huggingface.co/upstage/solar-pro-preview-instruct/blob/main/LICENSE
 language:
 - en
-pipeline_tag: text-generation
+license: mit
+library_name: transformers
 tags:
 - nlp
-library_name: transformers
+license_link: https://huggingface.co/upstage/solar-pro-preview-instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+model-index:
+- name: solar-pro-preview-instruct
+  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: 84.16
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      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: 54.82
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      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: 20.09
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      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: 16.11
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      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: 15.01
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      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: 47.48
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=upstage/solar-pro-preview-instruct
+      name: Open LLM Leaderboard
 ---
 
 <p align="left">
@@ -126,4 +221,17 @@ Learn more:
 Also try out:
 
 - [Document Parse](http://developers.upstage.ai/docs/apis/document-parse?utm_campaign=solarpro-preview-launch): An industry-leading model for converting complex document files to LLM-compatible HTML formats.
-- [Solar DocVision Preview](http://developers.upstage.ai/docs/apis/document-qa?utm_campaign=solarpro-preview-launch): A vision LLM specialized on documents.
+- [Solar DocVision Preview](http://developers.upstage.ai/docs/apis/document-qa?utm_campaign=solarpro-preview-launch): A vision LLM specialized on documents.
+# [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_upstage__solar-pro-preview-instruct)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |39.61|
+|IFEval (0-Shot)    |84.16|
+|BBH (3-Shot)       |54.82|
+|MATH Lvl 5 (4-Shot)|20.09|
+|GPQA (0-shot)      |16.11|
+|MuSR (0-shot)      |15.01|
+|MMLU-PRO (5-shot)  |47.48|
+