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Bert_base_NER_PII_Fn

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metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: Bert_base_NER_PII_Fn
    results: []

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Bert_base_NER_PII_Fn

This model is a fine-tuned version of google-bert/bert-base-uncased on the PII 43k 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