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bert-3lang

This model is a fine-tuned version of bert-base-multilingual-cased on the tydiqa dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6422

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.8161 1.0 905 0.6422

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 krinal214/bert-3lang