ArunaSaraswathy
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pii_new_model

Token Classification

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results

This model is a fine-tuned version of distilbert-base-cased on an unknown 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 4.24.0
Pytorch 2.0.0
Datasets 2.9.0
Tokenizers 0.13.2

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Token Classification

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Evaluation results

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