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--- |
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license: other |
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base_model: PORTULAN/albertina-ptbr |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ArthurBaia/squad_v1_pt_br |
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model-index: |
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- name: albertina |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# albertina |
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This model is a fine-tuned version of [PORTULAN/albertina-ptbr](https://huggingface.co./PORTULAN/albertina-ptbr) on the ArthurBaia/squad_v1_pt_br dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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{ |
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"epoch": 3.0, |
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"eval_exact_match": 76.96310312204352, |
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"eval_f1": 87.82372321450285, |
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"eval_runtime": 189.7132, |
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"eval_samples": 10977, |
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"eval_samples_per_second": 57.861, |
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"eval_steps_per_second": 7.237 |
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} |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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