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This model is a fine-tuned version of xlm-roberta-base on the tydiqa secondary_task 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: 12
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.9.1
  • Datasets 2.0.0
  • Tokenizers 0.10.3
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Dataset used to train horsbug98/Part_1_XLM_Model_E1