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This model is a fine-tuned version of distilbert-base-cased on WNUT-17 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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.23.0
  • Pytorch 1.12.1+cu113
  • Tokenizers 0.13.1
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Dataset used to train NouRed/distilbert_ner_wnut17