distilbert_ner_wnut17
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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Model tree for NouRed/distilbert_ner_wnut17
Base model
distilbert/distilbert-base-cased