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--- |
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datasets: |
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- eduagarcia/LegalPT |
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- eduagarcia/brwac_dedup |
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- eduagarcia/cc100-pt |
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- eduagarcia/OSCAR-2301-pt_dedup |
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language: |
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- pt |
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pipeline_tag: fill-mask |
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tags: |
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- legal |
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model-index: |
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- name: RoBERTaLexPT-base |
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results: |
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- task: |
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type: token-classification |
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dataset: |
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type: eduagarcia/portuguese_benchmark |
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name: LeNER |
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config: LeNER-Br |
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split: test |
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metrics: |
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- type: seqeval |
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value: 90.73 |
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name: Mean F1 |
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args: |
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scheme: IOB2 |
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- task: |
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type: token-classification |
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dataset: |
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type: eduagarcia/portuguese_benchmark |
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name: UlyNER-PL Coarse |
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config: UlyssesNER-Br-PL-coarse |
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split: test |
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metrics: |
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- type: seqeval |
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value: 88.56 |
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name: Mean F1 |
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args: |
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scheme: IOB2 |
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- task: |
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type: token-classification |
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dataset: |
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type: eduagarcia/portuguese_benchmark |
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name: UlyNER-PL Fine |
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config: UlyssesNER-Br-PL-fine |
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split: test |
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metrics: |
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- type: seqeval |
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value: 86.03 |
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name: Mean F1 |
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args: |
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scheme: IOB2 |
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license: cc-by-4.0 |
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--- |
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# Model Card for Model ID |
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
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## Model Details |
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### Model Description |
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- **Developed by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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### Model Sources [optional] |
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## Uses |
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### Direct Use |
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[More Information Needed] |
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### Downstream Use [optional] |
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### Out-of-Scope Use |
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[More Information Needed] |
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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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[More Information Needed] |
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### Training Procedure |
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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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#### Speeds, Sizes, Times [optional] |
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[More Information Needed] |
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## Evaluation |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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[More Information Needed] |
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#### Factors |
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[More Information Needed] |
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#### Metrics |
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### Results |
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#### Summary |
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## Model Examination [optional] |
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## Environmental Impact |
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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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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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### Compute Infrastructure |
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#### Hardware |
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#### Software |
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## Citation [optional] |
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**BibTeX:** |
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**APA:** |
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## Glossary [optional] |
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## More Information [optional] |
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## Model Card Authors [optional] |
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## Model Card Contact |
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