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Adding Evaluation Results (#1)

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- Adding Evaluation Results (bf710b10ffe7c0077d70f8e9780127aa7a461b0f)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +123 -12
README.md CHANGED
@@ -1,8 +1,8 @@
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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
@@ -16,17 +16,114 @@ inference:
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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: >
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- 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
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- the request.
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-
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- ### Instruction:
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-
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- Write an ode to Chipotle burritos.
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-
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- ### Response:
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- example_title: burritos
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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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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+