TON_IoT_no_password_LoRA

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

• Loss: 0.0055

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	94	0.3255
No log	2.0	188	0.0277
No log	3.0	282	0.0087
No log	4.0	376	0.0075
No log	5.0	470	0.0080
0.1279	6.0	564	0.0063
0.1279	7.0	658	0.0065
0.1279	8.0	752	0.0058
0.1279	9.0	846	0.0059
0.1279	10.0	940	0.0055

Framework versions

• PEFT 0.17.1
• Transformers 4.57.0
• Pytorch 2.8.0+cu126
• Datasets 4.2.0
• Tokenizers 0.22.1