PII-Binary-Filter-Hard-gretel-pii-ready – AI Model by PuxAI | AlphaNeural AI

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PuxAI/
PII-Binary-Filter-Hard-gretel-pii-ready

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text-classification

generated_from_trainer

microsoft/deberta-v3-small

text-embeddings-inference

endpoints_compatible

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PII-Binary-Filter-Hard-gretel-pii-ready

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9574
Accuracy: 0.7767
F1: 0.7702
Precision: 0.9321
Recall: 0.6562

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: 32
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.435	1.0	539	0.6876	0.7028	0.6830	0.8713	0.5616
0.2579	2.0	1078	0.8187	0.7670	0.7649	0.9005	0.6649
0.1915	3.0	1617	0.9574	0.7767	0.7702	0.9321	0.6562
0.1375	4.0	2156	1.3507	0.7528	0.7345	0.9474	0.5998
0.103	5.0	2695	1.2331	0.7728	0.7621	0.9461	0.6380

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu129
Datasets 4.8.2
Tokenizers 0.22.0