distilroberta-spam-classification

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

• Loss: 0.5677
• F1: 0.9904

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: 12345
• optimizer: Use 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_steps: 16
• num_epochs: 3
• mixed_precision_training: Native AMP
• label_smoothing_factor: 0.5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.5716	1.0	118	0.5698	0.9851
0.5672	2.0	236	0.5681	0.9904
0.5693	3.0	354	0.5677	0.9904

Framework versions

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