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

@@ -1,17 +1,112 @@
 ---
-license: llama3.1
 language:
 - en
-inference: false
-fine-tuning: false
+license: llama3.1
+library_name: transformers
 tags:
 - nvidia
 - llama3.1
+base_model: meta-llama/Llama-3.1-70B-Instruct
 datasets:
 - nvidia/HelpSteer2
-base_model: meta-llama/Llama-3.1-70B-Instruct
+inference: false
+fine-tuning: false
 pipeline_tag: text-generation
-library_name: transformers
+model-index:
+- name: Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 73.81
+ name: strict accuracy
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 47.11
+ name: normalized accuracy
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 26.96
+ name: exact match
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 1.12
+ name: acc_norm
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 13.2
+ name: acc_norm
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ 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: 43.54
+ name: accuracy
+ source:
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+ name: Open LLM Leaderboard
 ---
 # Model Overview
 
@@ -178,4 +273,17 @@ If you find this model useful, please cite the following works
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2410.01257}, 
 }
-```
+```
+# [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_nvidia__Llama-3.1-Nemotron-70B-Instruct-HF)
+
+| Metric |Value|
+|-------------------|----:|
+|Avg. |34.29|
+|IFEval (0-Shot) |73.81|
+|BBH (3-Shot) |47.11|
+|MATH Lvl 5 (4-Shot)|26.96|
+|GPQA (0-shot) | 1.12|
+|MuSR (0-shot) |13.20|
+|MMLU-PRO (5-shot) |43.54|
+