deberta-pii-masking-augmented-test2 – AI Model by gaodrew | AlphaNeural AI

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gaodrew/
deberta-pii-masking-augmented-test2

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token-classification

generated_from_trainer

microsoft/deberta-v3-large

autotrain_compatible

endpoints_compatible

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deberta-pii-masking-augmented-test2

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0248
Precision: 0.9565
Recall: 0.9663
F1: 0.9613
Accuracy: 0.9919

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.5574	0.16	1000	0.0750	0.8633	0.9081	0.8851	0.9774
0.0572	0.32	2000	0.0455	0.9151	0.9290	0.9220	0.9857
0.0401	0.48	3000	0.0395	0.9294	0.9452	0.9372	0.9873
0.0319	0.64	4000	0.0301	0.9443	0.9548	0.9496	0.9902
0.0277	0.8	5000	0.0264	0.9503	0.9618	0.9560	0.9912
0.0231	0.96	6000	0.0249	0.9538	0.9652	0.9595	0.9920

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1