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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