metadata

license: apache-2.0
base_model: google-bert/bert-large-uncased
tags:
  - generated_from_trainer
model-index:
  - name: Bert_large_NER_PII_062024
    results: []

Bert_large_NER_PII_062024

This model is a fine-tuned version of google-bert/bert-large-uncased on the None 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: 5

Training results

Framework versions

Transformers 4.41.0.dev0
Pytorch 1.13.1
Datasets 2.18.0
Tokenizers 0.19.1