sen_url_cls_transformer_v1 – AI Model by huangyizhuo | AlphaNeural AI

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huangyizhuo/
sen_url_cls_transformer_v1

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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pii-url-detection-transformer

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

Loss: 0.0051
Accuracy: 0.9982
F1: 0.9982
Precision: 0.9985
Recall: 0.998

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: 5e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.013	1.0	250	0.0116	0.9935	0.9935	0.9985	0.9885
0.0049	2.0	500	0.0051	0.9982	0.9982	0.9985	0.998
0.0061	3.0	750	0.0149	0.9955	0.9955	0.9955	0.9955
0.0033	4.0	1000	0.0050	0.9968	0.9967	0.9975	0.996
0.0027	5.0	1250	0.0053	0.9965	0.9965	0.9975	0.9955

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1