pii_obfuscation_model

This model is a fine-tuned version of distilbert/distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0393
• Validation Loss: 0.0271
• Epoch: 9

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.5461	0.0756	0
0.0601	0.0438	1
0.0440	0.0294	2
0.0330	0.0346	3
0.0248	0.0262	4
0.0173	0.0367	5
0.0205	0.0271	6
0.0200	0.0482	7
0.0329	0.0491	8
0.0393	0.0271	9

Framework versions

• Transformers 4.29.2
• TensorFlow 2.10.1
• Datasets 2.14.5
• Tokenizers 0.13.3