--- language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - gemma2 - trl - sft base_model: ehristoforu/Gemma2-9B-it-psy10k datasets: - jtatman/mental_health_psychology_curated_alpaca model-index: - name: Gemma2-9B-it-psy10k-mental_health 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: 58.87 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health 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: 35.57 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health 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: 12.16 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health 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: 11.63 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health 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: 9.34 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health 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: 31.43 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/Gemma2-9B-it-psy10k-mental_health name: Open LLM Leaderboard --- # Uploaded model - **Developed by:** ehristoforu - **License:** apache-2.0 - **Finetuned from model :** ehristoforu/Gemma2-9B-it-psy10k This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth) # [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_ehristoforu__Gemma2-9B-it-psy10k-mental_health) | Metric |Value| |-------------------|----:| |Avg. |26.50| |IFEval (0-Shot) |58.87| |BBH (3-Shot) |35.57| |MATH Lvl 5 (4-Shot)|12.16| |GPQA (0-shot) |11.63| |MuSR (0-shot) | 9.34| |MMLU-PRO (5-shot) |31.43|