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--- |
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license: mit |
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model-index: |
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- name: BruinsV2-OpHermesNeu-11B |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 68.09 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 84.7 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 64.19 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 62.76 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 79.48 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 60.05 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/BruinsV2-OpHermesNeu-11B |
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name: Open LLM Leaderboard |
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--- |
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| Task |Version| Metric |Value | |Stderr| |
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|-------------|------:|--------|-----:|---|-----:| |
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|arc_challenge| 0|acc |0.6527|± |0.0139| |
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| | |acc_norm|0.6869|± |0.0136| |
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**Warning! This model may or may not be contaminated [See discussion 474](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474). What a shame. It still does perform well though** |
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A passthrough merge of OpenHermes-2.5-neural-chat-7b-v3-1 and Bruins-V2. To be updated. |
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Template: ChatML |
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My settings: |
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Temperature: 0.7-0.8 |
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Min_p: 0.12 |
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Top_K: 0 |
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Repetition Penalty: 1.16 |
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Mirostat Tau: 2.5-3 |
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Mirostat Eta: 0.12 |
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Personal Thoughts: |
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- The model sometimes throws wrong tags, you can add those to "Custom stopping strings" in Oobabooga. |
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- Output with Mirostat consistently felt smarter than a set Top_K rate. |
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Note: The model is hallucinating hard in chat mode for me in some instances, like writing adblocker messages. Kind of funny. |
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I am not sure which dataset involved was poisoned. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Ba2han__BruinsV2-OpHermesNeu-11B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |69.88| |
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|AI2 Reasoning Challenge (25-Shot)|68.09| |
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|HellaSwag (10-Shot) |84.70| |
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|MMLU (5-Shot) |64.19| |
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|TruthfulQA (0-shot) |62.76| |
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|Winogrande (5-shot) |79.48| |
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|GSM8k (5-shot) |60.05| |
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