DistillBert_base_NER_PII200
This model is a fine-tuned version of Isotonic/distilbert_finetuned_ai4privacy_v2 on the ai4privacy/pii-masking-200k 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 4.41.0.dev0
- Pytorch 1.13.1
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for vuminhtue/DistillBert_base_NER_PII200
Base model
distilbert/distilbert-base-uncased