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Adding Evaluation Results (#1)

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- Adding Evaluation Results (5a9bcbc28f71a9932b5d15cea27211d73c6db2a9)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +118 -2
README.md CHANGED
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  ---
 
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  library_name: transformers
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  tags:
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  - experimental
@@ -8,7 +9,109 @@ datasets:
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  - jondurbin/gutenberg-dpo-v0.1
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  - jondurbin/truthy-dpo-v0.1
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  - flammenai/FlameMix-DPO-v1
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- license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # llama-3-sauce-v2-8B
@@ -143,4 +246,17 @@ dpo_trainer = DPOTrainer(
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  )
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  # Fine-tune model with DPO
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  dpo_trainer.train()
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3
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  library_name: transformers
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  tags:
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  - experimental
 
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  - jondurbin/gutenberg-dpo-v0.1
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  - jondurbin/truthy-dpo-v0.1
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  - flammenai/FlameMix-DPO-v1
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+ model-index:
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+ - name: llama-3-sauce-v2-8B
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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: 65.61
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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=nbeerbower/llama-3-sauce-v2-8B
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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: 83.11
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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=nbeerbower/llama-3-sauce-v2-8B
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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: 67.98
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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=nbeerbower/llama-3-sauce-v2-8B
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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: 56.39
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
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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: 76.72
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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=nbeerbower/llama-3-sauce-v2-8B
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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: 72.48
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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=nbeerbower/llama-3-sauce-v2-8B
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+ name: Open LLM Leaderboard
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  ---
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  # llama-3-sauce-v2-8B
 
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  )
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  # Fine-tune model with DPO
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  dpo_trainer.train()
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+ ```
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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_nbeerbower__llama-3-sauce-v2-8B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |70.38|
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+ |AI2 Reasoning Challenge (25-Shot)|65.61|
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+ |HellaSwag (10-Shot) |83.11|
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+ |MMLU (5-Shot) |67.98|
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+ |TruthfulQA (0-shot) |56.39|
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+ |Winogrande (5-shot) |76.72|
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+ |GSM8k (5-shot) |72.48|
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+