metadata
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: ton_iot_attempt
results: []
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