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stephanie-jung/
synthetic_training_output_5k

Name: synthetic_training_output_5k
Availability: InStock

generated_from_trainer

cyberseclabs/bert-classify-url-v1

finetune

autotrain_compatible

endpoints_compatible

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synthetic_training_output_5k

This model is a fine-tuned version of cyberseclabs/bert-classify-url-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0
Roc Auc: 1.0

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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.0898	0.3906	250	0.0132	0.9971	0.8761	0.99	0.9296	0.9991
0.0431	0.7812	500	0.0033	0.9994	0.9802	0.99	0.9851	0.9999
0.0349	1.1719	750	0.0035	0.9992	0.9706	0.99	0.9802	0.9999
0.0137	1.5625	1000	0.0065	0.9986	0.9346	1.0	0.9662	1.0000
0.0207	1.9531	1250	0.0014	0.9996	0.9804	1.0	0.9901	1.0
0.0079	2.3438	1500	0.0005	0.9998	0.9901	1.0	0.9950	1.0
0.0041	2.7344	1750	0.0000	1.0	1.0	1.0	1.0	1.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

stephanie-jung/synthetic_training_output_5k

synthetic_training_output_5k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

stephanie-jung/
synthetic_training_output_5k