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Adding the Open Portuguese LLM Leaderboard Evaluation Results (#2)

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- Adding the Open Portuguese LLM Leaderboard Evaluation Results (0938d09db986a0bc71eeebb27917cfbc1d52f456)


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

Files changed (1) hide show
  1. README.md +140 -3
README.md CHANGED
@@ -1,9 +1,130 @@
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  ---
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- datasets:
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- - cnmoro/WizardVicuna-PTBR-Instruct-Clean
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  language:
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  - en
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  - pt
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This is a finetuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) using [unsloth](https://github.com/unslothai/unsloth) on a instruct portuguese dataset, as an attempt to improve the performance of the model on the language.
@@ -14,4 +135,20 @@ The original prompt format was used:
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  ```plaintext
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  <s>[INST] {Prompt goes here} [/INST]
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
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  language:
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  - en
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  - pt
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+ datasets:
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+ - cnmoro/WizardVicuna-PTBR-Instruct-Clean
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+ model-index:
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+ - name: Mistral-7B-Portuguese
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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: 58.08
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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=cnmoro/Mistral-7B-Portuguese
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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: 48.68
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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=cnmoro/Mistral-7B-Portuguese
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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: 37.08
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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=cnmoro/Mistral-7B-Portuguese
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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: 90.31
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+ name: f1-macro
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+ - type: pearson
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+ value: 76.55
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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=cnmoro/Mistral-7B-Portuguese
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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: 58.84
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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=cnmoro/Mistral-7B-Portuguese
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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: 79.21
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+ name: f1-macro
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+ - type: f1_macro
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+ value: 68.87
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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=cnmoro/Mistral-7B-Portuguese
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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: 64.71
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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=cnmoro/Mistral-7B-Portuguese
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+ name: Open Portuguese LLM Leaderboard
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  ---
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  This is a finetuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) using [unsloth](https://github.com/unslothai/unsloth) on a instruct portuguese dataset, as an attempt to improve the performance of the model on the language.
 
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  ```plaintext
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  <s>[INST] {Prompt goes here} [/INST]
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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/cnmoro/Mistral-7B-Portuguese)
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+
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+ | Metric | Value |
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+ |--------------------------|--------|
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+ |Average |**64.7**|
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+ |ENEM Challenge (No Images)| 58.08|
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+ |BLUEX (No Images) | 48.68|
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+ |OAB Exams | 37.08|
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+ |Assin2 RTE | 90.31|
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+ |Assin2 STS | 76.55|
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+ |FaQuAD NLI | 58.84|
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+ |HateBR Binary | 79.21|
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+ |PT Hate Speech Binary | 68.87|
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+ |tweetSentBR | 64.71|
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+