Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,17 +1,119 @@
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---
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base_model:
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- decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
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- mlabonne/NeuralMarcoro14-7B
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- fblgit/UNA-TheBeagle-7b-v1
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- SanjiWatsuki/Lelantos-DPO-7B
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- mistralai/Mistral-7B-v0.1
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---
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# Macaroni 7b Tied
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@@ -45,4 +147,17 @@ The users of this model (hereinafter referred to as "the Model") should be aware
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+ Use at Your Own Risk: The Model is provided "as is," and the developers make no representations or warranties of any kind concerning the Model's performance or suitability for any particular purpose. The user assumes full responsibility and risk of loss resulting from using the Model.
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-
By using the Model, users acknowledge and agree to the terms stated in this disclaimer. This disclaimer is subject to change without notice, and the latest version can be found on the Model's Hugging Face page.
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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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- mistral
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- merge
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base_model:
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- decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
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- mlabonne/NeuralMarcoro14-7B
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- fblgit/UNA-TheBeagle-7b-v1
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- SanjiWatsuki/Lelantos-DPO-7B
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- mistralai/Mistral-7B-v0.1
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model-index:
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- name: Macaroni-7b-Tied
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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: 72.87
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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=andrijdavid/Macaroni-7b-Tied
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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: 88.14
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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=andrijdavid/Macaroni-7b-Tied
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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: 64.73
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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=andrijdavid/Macaroni-7b-Tied
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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: 70.54
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/Macaroni-7b-Tied
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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: 81.93
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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=andrijdavid/Macaroni-7b-Tied
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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: 71.57
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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=andrijdavid/Macaroni-7b-Tied
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name: Open LLM Leaderboard
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---
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# Macaroni 7b Tied
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+ Use at Your Own Risk: The Model is provided "as is," and the developers make no representations or warranties of any kind concerning the Model's performance or suitability for any particular purpose. The user assumes full responsibility and risk of loss resulting from using the Model.
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+
By using the Model, users acknowledge and agree to the terms stated in this disclaimer. This disclaimer is subject to change without notice, and the latest version can be found on the Model's Hugging Face page.
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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_andrijdavid__Macaroni-7b-Tied)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.96|
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|AI2 Reasoning Challenge (25-Shot)|72.87|
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|HellaSwag (10-Shot) |88.14|
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|MMLU (5-Shot) |64.73|
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|TruthfulQA (0-shot) |70.54|
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|Winogrande (5-shot) |81.93|
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|GSM8k (5-shot) |71.57|
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