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Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (e9761e2217b5d5c5bd92e3e2ccdd808b602c06a1)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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library_name: peft
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base_model: TheBloke/Llama-2-13B-fp16
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---
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## Training procedure
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@@ -69,3 +172,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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| Winogrande (5-shot) | 76.24 |
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| GSM8K (5-shot) | 12.05 |
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| DROP (3-shot) | 14.53 |
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---
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library_name: peft
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base_model: TheBloke/Llama-2-13B-fp16
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model-index:
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- name: minotaur-llama2-13b-qlora
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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: 60.07
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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=ehartford/minotaur-llama2-13b-qlora
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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: 82.42
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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=ehartford/minotaur-llama2-13b-qlora
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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: 55.87
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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=ehartford/minotaur-llama2-13b-qlora
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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: 45.57
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/minotaur-llama2-13b-qlora
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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: 76.24
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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=ehartford/minotaur-llama2-13b-qlora
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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: 12.05
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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=ehartford/minotaur-llama2-13b-qlora
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name: Open LLM Leaderboard
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---
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## Training procedure
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| Winogrande (5-shot) | 76.24 |
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| GSM8K (5-shot) | 12.05 |
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| DROP (3-shot) | 14.53 |
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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_ehartford__minotaur-llama2-13b-qlora)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |55.37|
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|AI2 Reasoning Challenge (25-Shot)|60.07|
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|HellaSwag (10-Shot) |82.42|
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|MMLU (5-Shot) |55.87|
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|TruthfulQA (0-shot) |45.57|
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|Winogrande (5-shot) |76.24|
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|GSM8k (5-shot) |12.05|
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