147 lines
3.9 KiB
Markdown
147 lines
3.9 KiB
Markdown
---
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language:
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- en
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license: apache-2.0
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datasets:
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- Open-Orca/OpenOrca
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model-index:
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- name: llmdo-Mistral-7B-case-c-v1
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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: 62.03
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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=juhwanlee/llmdo-Mistral-7B-case-c-v1
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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: 83.55
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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=juhwanlee/llmdo-Mistral-7B-case-c-v1
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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: 62.69
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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=juhwanlee/llmdo-Mistral-7B-case-c-v1
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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: 45.82
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
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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: 79.08
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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=juhwanlee/llmdo-Mistral-7B-case-c-v1
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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: 39.8
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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=juhwanlee/llmdo-Mistral-7B-case-c-v1
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name: Open LLM Leaderboard
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---
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# Model Details
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* Model Description: This model is test for data ordering.
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* Developed by: Juhwan Lee
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* Model Type: Large Language Model
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# Model Architecture
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This model is based on Mistral-7B-v0.1. We fine-tuning this model for data ordering task.
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Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
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* Grouped-Query Attention
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* Sliding-Window Attention
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* Byte-fallback BPE tokenizer
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# Dataset
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We random sample Open-Orca dataset. (We finetune the 100,000 dataset)
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# Guthub
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https://github.com/trailerAI
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# License
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Apache License 2.0
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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_juhwanlee__llmdo-Mistral-7B-case-c-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |62.16|
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|AI2 Reasoning Challenge (25-Shot)|62.03|
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|HellaSwag (10-Shot) |83.55|
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|MMLU (5-Shot) |62.69|
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|TruthfulQA (0-shot) |45.82|
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|Winogrande (5-shot) |79.08|
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|GSM8k (5-shot) |39.80|
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