albertina
This model is a fine-tuned version of PORTULAN/albertina-ptbr on the ArthurBaia/squad_v1_pt_br dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
{ "epoch": 3.0, "eval_exact_match": 76.96310312204352, "eval_f1": 87.82372321450285, "eval_runtime": 189.7132, "eval_samples": 10977, "eval_samples_per_second": 57.861, "eval_steps_per_second": 7.237 }
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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