Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,9 +1,7 @@
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---
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license: llama2
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language:
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- en
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inference: false
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tags:
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- dare
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- super mario merge
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- llama
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- llama-2
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- merge
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---
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# llama 13b mega merge v2
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@@ -48,4 +151,17 @@ python hf_merge.py mergelist.txt 13b-merge-v2 -p 0.11 -lambda 2.1
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## Notes
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* seems to generalize instruct styles
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* `p` and `lambda` are still a guess
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---
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language:
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- en
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+
license: llama2
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tags:
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- dare
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- super mario merge
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- llama
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- llama-2
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- merge
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pipeline_tag: text-generation
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inference: false
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model-index:
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- name: llama2-megamerge-dare-13b-v2
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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: 59.39
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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=martyn/llama2-megamerge-dare-13b-v2
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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: 80.93
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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=martyn/llama2-megamerge-dare-13b-v2
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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: 55.26
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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=martyn/llama2-megamerge-dare-13b-v2
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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: 47.27
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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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: 75.53
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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=martyn/llama2-megamerge-dare-13b-v2
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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: 29.26
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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=martyn/llama2-megamerge-dare-13b-v2
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name: Open LLM Leaderboard
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---
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# llama 13b mega merge v2
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## Notes
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* seems to generalize instruct styles
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* `p` and `lambda` are still a guess
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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_martyn__llama2-megamerge-dare-13b-v2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |57.94|
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|AI2 Reasoning Challenge (25-Shot)|59.39|
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|HellaSwag (10-Shot) |80.93|
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|MMLU (5-Shot) |55.26|
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|TruthfulQA (0-shot) |47.27|
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|Winogrande (5-shot) |75.53|
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|GSM8k (5-shot) |29.26|
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