distilbert_finetuned

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6039
• Overall Precision: 0.0
• Overall Recall: 0.0
• Overall F1: 0.0
• Overall Accuracy: 0.5446
• Accountname F1: 0.0
• Accountnumber F1: 0.0
• Amount F1: 0.0
• Bic F1: 0.0
• County F1: 0.0
• Creditcardissuer F1: 0.0
• Currency F1: 0.0
• Currencyname F1: 0.0
• Date F1: 0.0
• Firstname F1: 0.0
• Iban F1: 0.0
• Lastname F1: 0.0
• Mac F1: 0.0
• Password F1: 0.0
• Phoneimei F1: 0.0
• Phone Number F1: 0.0
• Pin F1: 0.0
• Prefix F1: 0.0
• Sex F1: 0.0
• Ssn F1: 0.0
• State F1: 0.0
• Street F1: 0.0
• Url F1: 0.0
• Username F1: 0.0
• Vehiclevin F1: 0.0
• Vehiclevrm F1: 0.0

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• 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: 0.2
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy	Accountname F1	Accountnumber F1	Amount F1	Bic F1	County F1	Creditcardissuer F1	Currency F1	Currencyname F1	Date F1	Firstname F1	Iban F1	Lastname F1	Mac F1	Password F1	Phoneimei F1	Phone Number F1	Pin F1	Prefix F1	Sex F1	Ssn F1	State F1	Street F1	Url F1	Username F1	Vehiclevin F1	Vehiclevrm F1
No log	1.0	3	2.9006	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	2.0	6	2.8056	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	3.0	9	2.7262	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	4.0	12	2.6680	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	5.0	15	2.6320	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	6.0	18	2.6124	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	7.0	21	2.6039	0.0	0.0	0.0	0.5446	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0