Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,9 +1,112 @@
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---
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license: cc-by-nc-4.0
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datasets:
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- vicgalle/alpaca-gpt4
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---
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## Model Overview
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@@ -36,4 +139,17 @@ This model took `2:31:23` to train in QLoRA on a single `T4` GPU.<br>
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- *weight decay*: `0.001`
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- *optimizer*: `paged_adamw_32bit`
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- *learning rate schedule*: `cosine`
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- *warmup ratio (linear)*: `0.03`
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---
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language:
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- en
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license: cc-by-nc-4.0
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datasets:
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- vicgalle/alpaca-gpt4
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model-index:
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- name: ShortKingv0.1
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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: 34.22
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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=AtAndDev/ShortKingv0.1
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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: 54.59
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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=AtAndDev/ShortKingv0.1
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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: 25.78
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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=AtAndDev/ShortKingv0.1
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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: 41.64
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/ShortKingv0.1
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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: 56.04
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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=AtAndDev/ShortKingv0.1
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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: 0.45
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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=AtAndDev/ShortKingv0.1
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name: Open LLM Leaderboard
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---
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## Model Overview
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- *weight decay*: `0.001`
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- *optimizer*: `paged_adamw_32bit`
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- *learning rate schedule*: `cosine`
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- *warmup ratio (linear)*: `0.03`
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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_AtAndDev__ShortKingv0.1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |35.45|
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|AI2 Reasoning Challenge (25-Shot)|34.22|
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|HellaSwag (10-Shot) |54.59|
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|MMLU (5-Shot) |25.78|
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|TruthfulQA (0-shot) |41.64|
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|Winogrande (5-shot) |56.04|
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|GSM8k (5-shot) | 0.45|
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