Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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license: llama2
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datasets:
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- migtissera/Synthia-v1.3
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- open-llm-leaderboard/details_NousResearch__Nous-Hermes-llama-2-7b
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language:
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- en
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pipeline_tag: text-generation
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---
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Fine-tuned the synthia dataset on the hermes2 7b model
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@@ -20,4 +123,17 @@ Future plans:
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- Will add other languages (Potentially japanese and chinese)
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- Finetune it on mistral models?
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---
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language:
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- en
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license: llama2
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tags:
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- roleplay
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- conversational
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datasets:
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- migtissera/Synthia-v1.3
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- open-llm-leaderboard/details_NousResearch__Nous-Hermes-llama-2-7b
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pipeline_tag: text-generation
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model-index:
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- name: L2-7b-Hermes-Synthia
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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: 51.02
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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=LTC-AI-Labs/L2-7b-Hermes-Synthia
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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: 79.12
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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=LTC-AI-Labs/L2-7b-Hermes-Synthia
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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: 47.88
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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=LTC-AI-Labs/L2-7b-Hermes-Synthia
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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: 46.77
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
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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: 74.51
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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=LTC-AI-Labs/L2-7b-Hermes-Synthia
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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: 13.95
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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=LTC-AI-Labs/L2-7b-Hermes-Synthia
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name: Open LLM Leaderboard
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---
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Fine-tuned the synthia dataset on the hermes2 7b model
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- Will add other languages (Potentially japanese and chinese)
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- Finetune it on mistral models?
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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_LTC-AI-Labs__L2-7b-Hermes-Synthia)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |52.21|
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|AI2 Reasoning Challenge (25-Shot)|51.02|
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|HellaSwag (10-Shot) |79.12|
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|MMLU (5-Shot) |47.88|
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|TruthfulQA (0-shot) |46.77|
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|Winogrande (5-shot) |74.51|
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|GSM8k (5-shot) |13.95|
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