leaderboard-pt-pr-bot
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Parent(s):
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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard
The purpose of this PR is to add evaluation results from the Open Portuguese LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard/discussions
README.md
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---
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license: other
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license_name: tongyi-qianwen
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license_link: >-
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https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
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language:
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- en
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-
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tags:
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- chat
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---
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# Qwen1.5-72B-Chat
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@@ -95,4 +215,20 @@ If you find our work helpful, feel free to give us a cite.
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journal={arXiv preprint arXiv:2309.16609},
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year={2023}
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}
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-
```
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---
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language:
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- en
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license: other
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tags:
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- chat
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license_name: tongyi-qianwen
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license_link: https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
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pipeline_tag: text-generation
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model-index:
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- name: Qwen1.5-72B-Chat
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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: ENEM Challenge (No Images)
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type: eduagarcia/enem_challenge
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 77.05
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: BLUEX (No Images)
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type: eduagarcia-temp/BLUEX_without_images
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 67.59
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: OAB Exams
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type: eduagarcia/oab_exams
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 55.31
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: Assin2 RTE
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type: assin2
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 92.8
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name: f1-macro
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- type: pearson
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value: 78.2
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name: pearson
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: FaQuAD NLI
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type: ruanchaves/faquad-nli
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 79.48
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: HateBR Binary
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type: eduagarcia/portuguese_benchmark
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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: f1_macro
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value: 86.84
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name: f1-macro
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- type: f1_macro
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value: 62.59
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese 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: tweetSentBR
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type: eduagarcia-temp/tweetsentbr
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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: f1_macro
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value: 68.98
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=Qwen/Qwen1.5-72B-Chat
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name: Open Portuguese LLM Leaderboard
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---
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# Qwen1.5-72B-Chat
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journal={arXiv preprint arXiv:2309.16609},
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year={2023}
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}
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```
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# [Open Portuguese LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/Qwen/Qwen1.5-72B-Chat)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**74.32**|
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|ENEM Challenge (No Images)| 77.05|
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|BLUEX (No Images) | 67.59|
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|OAB Exams | 55.31|
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|Assin2 RTE | 92.80|
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|Assin2 STS | 78.20|
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|FaQuAD NLI | 79.48|
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|HateBR Binary | 86.84|
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|PT Hate Speech Binary | 62.59|
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|tweetSentBR | 68.98|
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