TON_IoT_no_scanning_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: 0.0024

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	0.2305
No log	2.0	188	0.0076
No log	3.0	282	0.0082
No log	4.0	376	0.0063
No log	5.0	470	0.0059
0.1156	6.0	564	0.0053
0.1156	7.0	658	0.0036
0.1156	8.0	752	0.0024
0.1156	9.0	846	0.0025
0.1156	10.0	940	0.0024

Framework versions

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