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Adding Evaluation Results (#4)
Browse files- Adding Evaluation Results (0161e1f4a9d010c9d604732b9369fd45ca2539c4)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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library_name: transformers
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license: other
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language:
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- en
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---
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# Model Card for Alpaca Dragon 72B V1
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- **Hours used:** [8]
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- **Cloud Provider:** [runpod.io]
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- **Compute Region:** [US]
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- **Carbon Emitted:** [?]
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---
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language:
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- en
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license: other
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library_name: transformers
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model-index:
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- name: alpaca-dragon-72b-v1
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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: 73.89
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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=ibivibiv/alpaca-dragon-72b-v1
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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: 88.16
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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=ibivibiv/alpaca-dragon-72b-v1
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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: 77.4
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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=ibivibiv/alpaca-dragon-72b-v1
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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: 72.69
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/alpaca-dragon-72b-v1
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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: 86.03
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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=ibivibiv/alpaca-dragon-72b-v1
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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: 77.63
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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=ibivibiv/alpaca-dragon-72b-v1
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name: Open LLM Leaderboard
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---
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# Model Card for Alpaca Dragon 72B V1
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- **Hours used:** [8]
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- **Cloud Provider:** [runpod.io]
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- **Compute Region:** [US]
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- **Carbon Emitted:** [?]
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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_ibivibiv__alpaca-dragon-72b-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |79.30|
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|AI2 Reasoning Challenge (25-Shot)|73.89|
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|HellaSwag (10-Shot) |88.16|
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|MMLU (5-Shot) |77.40|
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|TruthfulQA (0-shot) |72.69|
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|Winogrande (5-shot) |86.03|
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|GSM8k (5-shot) |77.63|
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