vuminhtue
/

Bert_base_NER_PII_Fn

Token Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Community

Edit model card

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

Safetensors

Model size

109M params

Tensor type

F32

·

Inference Examples

Token Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for vuminhtue/Bert_base_NER_PII_Fn

Base model

google-bert/bert-base-uncased

Finetuned

(2090)

this model

Finetunes

1 model

Evaluation results

Metadata error: specify a dataset to view leaderboard