ton_iot_attempt

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

• Loss: 0.0380

label_mapping = { 'normal': 0, 'ddos': 1, 'injection': 2, 'password': 3, 'scanning': 4 }

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.4891	1.0	938	0.1066
0.1219	2.0	1876	0.0861
0.0529	3.0	2814	0.0676
0.0249	4.0	3752	0.0497
0.0159	5.0	4690	0.0380

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1