Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (8ca1f7fae60d754e1f4c1df005ae096109b3f2bb)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
CHANGED
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@@ -74,6 +74,109 @@ parameters:
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repetition_penalty: 3.5
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length_penalty: 0.9
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base_model: EleutherAI/gpt-neo-1.3B
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---
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@@ -125,3 +228,17 @@ The following hyperparameters were used during training:
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- Transformers 4.22.2
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- Pytorch 1.10.0+cu113
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- Tokenizers 0.12.1
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repetition_penalty: 3.5
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length_penalty: 0.9
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base_model: EleutherAI/gpt-neo-1.3B
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model-index:
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- name: gpt-neo-1.3B-emailgen
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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: 29.95
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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=postbot/gpt-neo-1.3B-emailgen
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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: 47.95
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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=postbot/gpt-neo-1.3B-emailgen
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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: 24.11
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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=postbot/gpt-neo-1.3B-emailgen
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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: 42.55
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=postbot/gpt-neo-1.3B-emailgen
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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: 56.27
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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=postbot/gpt-neo-1.3B-emailgen
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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: 0.0
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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=postbot/gpt-neo-1.3B-emailgen
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name: Open LLM Leaderboard
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---
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- Transformers 4.22.2
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- Pytorch 1.10.0+cu113
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- Tokenizers 0.12.1
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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_postbot__gpt-neo-1.3B-emailgen)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |33.47|
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|AI2 Reasoning Challenge (25-Shot)|29.95|
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|HellaSwag (10-Shot) |47.95|
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|MMLU (5-Shot) |24.11|
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|TruthfulQA (0-shot) |42.55|
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|Winogrande (5-shot) |56.27|
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|GSM8k (5-shot) | 0.00|
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