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Bert_base_NER_PII_Fn

Token Classification

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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

Downloads last month: 12

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Model size

109M params

Tensor type

F32

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Token Classification

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Evaluation results

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