Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -14,6 +14,101 @@ base_model:
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- OmnicromsBrain/Eros_Scribe-7b
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- SanjiWatsuki/Kunoichi-DPO-v2-7B
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- OmnicromsBrain/NeuralStar_Fusion-7B
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---
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![FusionWriter-7b.png](https://cdn-uploads.huggingface.co/production/uploads/65c70c9e21d80a923d664563/0WNo5m8BWu7lF4YSlMX7K.png)
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@@ -100,4 +195,17 @@ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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-
```
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- OmnicromsBrain/Eros_Scribe-7b
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- SanjiWatsuki/Kunoichi-DPO-v2-7B
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- OmnicromsBrain/NeuralStar_Fusion-7B
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model-index:
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- name: NeuralStar_FusionWriter_4x7b
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 59.64
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 26.04
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 4.53
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 3.8
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 8.2
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 17.84
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OmnicromsBrain/NeuralStar_FusionWriter_4x7b
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name: Open LLM Leaderboard
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---
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![FusionWriter-7b.png](https://cdn-uploads.huggingface.co/production/uploads/65c70c9e21d80a923d664563/0WNo5m8BWu7lF4YSlMX7K.png)
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_OmnicromsBrain__NeuralStar_FusionWriter_4x7b)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |20.01|
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|IFEval (0-Shot) |59.64|
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|BBH (3-Shot) |26.04|
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|MATH Lvl 5 (4-Shot)| 4.53|
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|GPQA (0-shot) | 3.80|
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|MuSR (0-shot) | 8.20|
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|MMLU-PRO (5-shot) |17.84|
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