| | --- |
| | language: |
| | - en |
| | license: apache-2.0 |
| | library_name: transformers |
| | base_model: cpayne1303/cp2024 |
| | datasets: |
| | - teknium/OpenHermes-2.5 |
| | model-index: |
| | - name: cp2024-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: 17.06 |
| | name: strict accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-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: 2.48 |
| | name: normalized accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-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: 0.0 |
| | name: exact match |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-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: 1.34 |
| | name: acc_norm |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-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: 3.18 |
| | name: acc_norm |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-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: 1.85 |
| | name: accuracy |
| | source: |
| | url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct |
| | name: Open LLM Leaderboard |
| | --- |
| | ## Model Description |
| |
|
| | This is a model using the llama2 architecture and only 30 million parameters. It is based off of <a href = "https://huggingface.co/cpayne1303/cp2024">this model</a> and was finetuned on approximately 85 million tokens of instruct data from the first 20000 rows of the openhermes 2.5 dataset with a low learning rate of 2e-6 and context length of 512. |
| |
|
| | # [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_cpayne1303__cp2024-instruct) |
| |
|
| | | Metric |Value| |
| | |-------------------|----:| |
| | |Avg. | 4.32| |
| | |IFEval (0-Shot) |17.06| |
| | |BBH (3-Shot) | 2.48| |
| | |MATH Lvl 5 (4-Shot)| 0.00| |
| | |GPQA (0-shot) | 1.34| |
| | |MuSR (0-shot) | 3.18| |
| | |MMLU-PRO (5-shot) | 1.85| |
| |
|
| |
|
