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xlm-roberta-base-squad-pt

This model is a fine-tuned version of xlm-roberta-base on the squad_v1_pt 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: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: tpu
  • 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": 44.45600756859035,
  • "eval_f1": 57.37953911779836,
  • "eval_samples": 11095

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.9.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train ArthurBaia/xlm-roberta-base-squad-pt