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--- |
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library_name: transformers |
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tags: [] |
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model-index: |
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- name: Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: 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: 74.74 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: 66.34 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: 53.71 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: 93.66 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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 STS |
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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: 15 |
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metrics: |
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- type: pearson |
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value: 77.7 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: 82.14 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: ruanchaves/hatebr |
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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: 86.71 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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: PT Hate Speech Binary |
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type: hate_speech_portuguese |
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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: 68.68 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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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/tweetsentbr_fewshot |
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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: 72.82 |
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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=adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1 |
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name: Open Portuguese LLM Leaderboard |
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--- |
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# Model Card for Model ID |
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## Model Details |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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### Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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## Evaluation |
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### Testing Data, Factors & Metrics |
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#### Summary |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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# Open Portuguese LLM Leaderboard Evaluation Results |
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Detailed results can be found [here](https://huggingface.co./datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/adalbertojunior/Qwen1.5-32B-Dolphin-Portuguese-v0.1) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard) |
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| Metric | Value | |
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|--------------------------|---------| |
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|Average |**75.17**| |
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|ENEM Challenge (No Images)| 74.74| |
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|BLUEX (No Images) | 66.34| |
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|OAB Exams | 53.71| |
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|Assin2 RTE | 93.66| |
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|Assin2 STS | 77.70| |
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|FaQuAD NLI | 82.14| |
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|HateBR Binary | 86.71| |
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|PT Hate Speech Binary | 68.68| |
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|tweetSentBR | 72.82| |
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