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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->


# ton_iot_attempt

This model is a fine-tuned version of [roberta-large](https://huggingface.co/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