Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (cea24e58b3fc6a211b230935f3558a5d314e0055)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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datasets:
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- Intel/orca_dpo_pairs
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- Locutusque/Hercules-v3.0
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language:
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- en
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tags:
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- conversational
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inference:
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parameters:
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do_sample: true
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max_new_tokens: 250
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repetition_penalty: 1.1
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widget:
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---
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# NeuralReyna-Mini-1.8B-v0.2
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# Contributions
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Thanks to @aloobun and @Locutusque for their contributions to this model.
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---
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language:
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- en
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+
license: apache-2.0
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tags:
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- conversational
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datasets:
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- Intel/orca_dpo_pairs
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- Locutusque/Hercules-v3.0
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inference:
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parameters:
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do_sample: true
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max_new_tokens: 250
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repetition_penalty: 1.1
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widget:
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- text: Hello who are you?
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example_title: Identity
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- text: What can you do?
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example_title: Capabilities
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- text: Create a fastapi endpoint to retrieve the weather given a zip code.
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example_title: Coding
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model-index:
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- name: NeuralReyna-Mini-1.8B-v0.2
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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: 37.8
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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=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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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: 60.51
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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=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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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: 45.04
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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=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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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: 37.75
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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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: 60.93
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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=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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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: 27.07
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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=M4-ai/NeuralReyna-Mini-1.8B-v0.2
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name: Open LLM Leaderboard
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---
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# NeuralReyna-Mini-1.8B-v0.2
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# Contributions
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Thanks to @aloobun and @Locutusque for their contributions to this model.
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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_M4-ai__NeuralReyna-Mini-1.8B-v0.2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |44.85|
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|AI2 Reasoning Challenge (25-Shot)|37.80|
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|HellaSwag (10-Shot) |60.51|
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|MMLU (5-Shot) |45.04|
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|TruthfulQA (0-shot) |37.75|
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|Winogrande (5-shot) |60.93|
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|GSM8k (5-shot) |27.07|
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