Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,5 +1,108 @@
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---
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license: cc-by-nc-nd-4.0
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---
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# Bald Eagle 7B
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![BaldEagle](https://huggingface.co/cookinai/Bald-Eagle-7B/resolve/main/Bald-Eagle.png)
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@@ -14,4 +117,17 @@ Fine-tune of [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheB
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[https://huggingface.co/datasets/Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)
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-
Attempt to make a well optimized chat model by combining these high preforming Orca-inspired datasets
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---
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license: cc-by-nc-nd-4.0
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model-index:
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- name: Bald-Eagle-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: 64.51
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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=cookinai/Bald-Eagle-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: 84.79
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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=cookinai/Bald-Eagle-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: 64.39
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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=cookinai/Bald-Eagle-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: 54.65
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cookinai/Bald-Eagle-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: 80.98
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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=cookinai/Bald-Eagle-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: 67.02
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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=cookinai/Bald-Eagle-7B
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name: Open LLM Leaderboard
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---
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# Bald Eagle 7B
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![BaldEagle](https://huggingface.co/cookinai/Bald-Eagle-7B/resolve/main/Bald-Eagle.png)
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[https://huggingface.co/datasets/Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)
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+
Attempt to make a well optimized chat model by combining these high preforming Orca-inspired datasets
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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_cookinai__Bald-Eagle-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.39|
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|AI2 Reasoning Challenge (25-Shot)|64.51|
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|HellaSwag (10-Shot) |84.79|
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|MMLU (5-Shot) |64.39|
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|TruthfulQA (0-shot) |54.65|
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|Winogrande (5-shot) |80.98|
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|GSM8k (5-shot) |67.02|
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