pii-ner-distilroberta

Xyren2005/pii-ner-distilroberta

pii-ner-distilroberta is a machine learning model from Xyren2005. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Access: Public
Created: Apr 5, 2026
Updated: Apr 10, 2026
SHA: 50234b85

Base models

Model card

From the Hugging Face model README

encoder_distilroberta

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

Loss: 0.0709
F1: 0.9117

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: 4e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 4640
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	F1	Validation Loss
0.1511	1.0	2901	0.8117	0.1268
0.0962	2.0	5802	0.8733	0.0841
0.0680	3.0	8703	0.0744	0.8899
0.0515	4.0	11604	0.0669	0.8972
0.0436	5.0	14505	0.0675	0.9058
0.0370	6.0	17406	0.0673	0.9099
0.0307	7.0	20307	0.0689	0.9110
0.0261	8.0	23208	0.0709	0.9117

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2

Library: transformers
License: apache-2.0
Created: Apr 5, 2026
Updated: Apr 10, 2026