Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (3ccd09a2b406d2b43ba14663240cd588b217e728)
README.md
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---
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-
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license: cc-by-sa-4.0
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datasets:
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- mlabonne/chatml_dpo_pairs
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- ResplendentAI/Synthetic_Soul_1k
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---
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# Flora DPO
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@@ -18,4 +121,17 @@ Quants available here:
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https://huggingface.co/solidrust/Flora-7B-DPO-AWQ
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https://huggingface.co/Test157t/ResplendentAI-Flora_DPO_7B-5bpw-exl2
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---
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language:
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- en
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license: cc-by-sa-4.0
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library_name: transformers
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datasets:
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- mlabonne/chatml_dpo_pairs
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- ResplendentAI/Synthetic_Soul_1k
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model-index:
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- name: Flora_DPO_7B
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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: 71.76
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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=ResplendentAI/Flora_DPO_7B
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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: 88.28
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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=ResplendentAI/Flora_DPO_7B
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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: 64.13
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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=ResplendentAI/Flora_DPO_7B
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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: 71.08
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Flora_DPO_7B
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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: 84.53
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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=ResplendentAI/Flora_DPO_7B
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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: 65.81
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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=ResplendentAI/Flora_DPO_7B
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name: Open LLM Leaderboard
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---
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# Flora DPO
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https://huggingface.co/solidrust/Flora-7B-DPO-AWQ
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https://huggingface.co/Test157t/ResplendentAI-Flora_DPO_7B-5bpw-exl2
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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_ResplendentAI__Flora_DPO_7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.26|
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|AI2 Reasoning Challenge (25-Shot)|71.76|
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|HellaSwag (10-Shot) |88.28|
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|MMLU (5-Shot) |64.13|
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|TruthfulQA (0-shot) |71.08|
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|Winogrande (5-shot) |84.53|
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|GSM8k (5-shot) |65.81|
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