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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (bf710b10ffe7c0077d70f8e9780127aa7a461b0f)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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license: apache-2.0
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base_model: BEE-spoke-data/smol_llama-220M-GQA
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datasets:
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- teknium/openhermes
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inference:
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parameters:
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do_sample: true
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no_repeat_ngram_size: 5
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epsilon_cutoff: 0.0008
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widget:
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---
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@@ -87,3 +184,17 @@ Note that **this checkpoint** was fine-tuned on `teknium/openhermes`, which is g
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---
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---
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license: apache-2.0
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datasets:
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- teknium/openhermes
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base_model: BEE-spoke-data/smol_llama-220M-GQA
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inference:
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parameters:
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do_sample: true
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no_repeat_ngram_size: 5
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epsilon_cutoff: 0.0008
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widget:
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- text: "Below is an instruction that describes a task, paired with an input that\
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\ provides further context. Write a response that appropriately completes the\
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\ request. \n \n### Instruction: \n \nWrite an ode to Chipotle burritos.\
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\ \n \n### Response: \n"
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example_title: burritos
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model-index:
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- name: smol_llama-220M-openhermes
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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: 25.17
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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=BEE-spoke-data/smol_llama-220M-openhermes
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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: 28.98
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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=BEE-spoke-data/smol_llama-220M-openhermes
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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: 26.17
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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=BEE-spoke-data/smol_llama-220M-openhermes
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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: 43.08
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
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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: 52.01
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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=BEE-spoke-data/smol_llama-220M-openhermes
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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: 0.61
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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=BEE-spoke-data/smol_llama-220M-openhermes
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name: Open LLM Leaderboard
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---
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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_BEE-spoke-data__smol_llama-220M-openhermes)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |29.34|
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|AI2 Reasoning Challenge (25-Shot)|25.17|
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|HellaSwag (10-Shot) |28.98|
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|MMLU (5-Shot) |26.17|
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|TruthfulQA (0-shot) |43.08|
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|Winogrande (5-shot) |52.01|
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|GSM8k (5-shot) | 0.61|
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