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jefftherover/
pii-layout-synth-distil-v2

Name: pii-layout-synth-distil-v2
Availability: InStock

generated_from_trainer

jefftherover/pii-layout-synth-distil-v2

finetune

endpoints_compatible

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pii-layout-synth-distil-v2

This model is a fine-tuned version of jefftherover/pii-layout-synth-distil-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0048
Precision: 0.9916
Recall: 0.9951
F1: 0.9933
Accuracy: 0.9988

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: cosine_with_restarts
lr_scheduler_warmup_steps: 200
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
9.4312	0.9685	2000	0.0066	0.9893	0.9944	0.9918	0.9984
8.3837	1.9370	4000	0.0056	0.9896	0.9935	0.9916	0.9986
7.6715	2.9056	6000	0.0049	0.9915	0.9948	0.9931	0.9987
7.4892	3.8741	8000	0.0048	0.9914	0.9947	0.9930	0.9988
7.1226	4.8426	10000	0.0048	0.9914	0.9949	0.9932	0.9988
7.3554	5.0	10325	0.0048	0.9916	0.9951	0.9933	0.9988

Framework versions

Transformers 5.13.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2