Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
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---
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license: apache-2.0
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datasets:
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- jondurbin/truthy-dpo-v0.1
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- merge
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- dpo
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- text-generation-inference
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---
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DPO Finetuned paulml/OGNO-7B using jondurbin/truthy-dpo-v0.1
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paulml/OGNO-7B is a mistral 7b variant afaik and this repo is an experimental repo, so might not be useable in prod
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Thx for the great data sources.
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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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library_name: transformers
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tags:
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- merge
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- dpo
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- text-generation-inference
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datasets:
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- jondurbin/truthy-dpo-v0.1
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pipeline_tag: text-generation
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model-index:
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- name: OGNO-7b-dpo-truthful
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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: 72.95
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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=eren23/OGNO-7b-dpo-truthful
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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: 89.02
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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=eren23/OGNO-7b-dpo-truthful
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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: 64.61
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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=eren23/OGNO-7b-dpo-truthful
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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: 76.61
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
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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: 84.69
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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=eren23/OGNO-7b-dpo-truthful
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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: 68.99
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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=eren23/OGNO-7b-dpo-truthful
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name: Open LLM Leaderboard
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---
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DPO Finetuned paulml/OGNO-7B using jondurbin/truthy-dpo-v0.1
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paulml/OGNO-7B is a mistral 7b variant afaik and this repo is an experimental repo, so might not be useable in prod
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Thx for the great data sources.
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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_eren23__OGNO-7b-dpo-truthful)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |76.14|
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|AI2 Reasoning Challenge (25-Shot)|72.95|
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|HellaSwag (10-Shot) |89.02|
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|MMLU (5-Shot) |64.61|
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|TruthfulQA (0-shot) |76.61|
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|Winogrande (5-shot) |84.69|
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|GSM8k (5-shot) |68.99|
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