Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -43,6 +43,109 @@ datasets:
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- WhiteRabbitNeo/WRN-Chapter-1
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- WhiteRabbitNeo/WRN-Chapter-2
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- winogrande
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---
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# A bagel, with everything
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@@ -803,4 +906,17 @@ For assistance with the VM join the [Massed Compute Discord Server](https://disc
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- https://bmc.link/jondurbin
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- ETH 0xce914eAFC2fe52FdceE59565Dd92c06f776fcb11
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- BTC bc1qdwuth4vlg8x37ggntlxu5cjfwgmdy5zaa7pswf
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- WhiteRabbitNeo/WRN-Chapter-1
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- WhiteRabbitNeo/WRN-Chapter-2
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- winogrande
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model-index:
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- name: bagel-dpo-7b-v0.5
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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: 66.3
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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=jondurbin/bagel-dpo-7b-v0.5
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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: 84.22
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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=jondurbin/bagel-dpo-7b-v0.5
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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: 65.27
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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=jondurbin/bagel-dpo-7b-v0.5
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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: 62.41
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-dpo-7b-v0.5
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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: 81.45
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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=jondurbin/bagel-dpo-7b-v0.5
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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: 53.37
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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=jondurbin/bagel-dpo-7b-v0.5
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name: Open LLM Leaderboard
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---
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# A bagel, with everything
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- https://bmc.link/jondurbin
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- ETH 0xce914eAFC2fe52FdceE59565Dd92c06f776fcb11
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- BTC bc1qdwuth4vlg8x37ggntlxu5cjfwgmdy5zaa7pswf
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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_jondurbin__bagel-dpo-7b-v0.5)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.84|
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|AI2 Reasoning Challenge (25-Shot)|66.30|
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|HellaSwag (10-Shot) |84.22|
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|MMLU (5-Shot) |65.27|
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|TruthfulQA (0-shot) |62.41|
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|Winogrande (5-shot) |81.45|
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|GSM8k (5-shot) |53.37|
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