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--- |
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license: mit |
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base_model: roberta-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ton_iot_attempt |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ton_iot_attempt |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0380 |
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label_mapping = { |
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'normal': 0, |
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'ddos': 1, |
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'injection': 2, |
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'password': 3, |
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'scanning': 4 |
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} |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4891 | 1.0 | 938 | 0.1066 | |
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| 0.1219 | 2.0 | 1876 | 0.0861 | |
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| 0.0529 | 3.0 | 2814 | 0.0676 | |
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| 0.0249 | 4.0 | 3752 | 0.0497 | |
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| 0.0159 | 5.0 | 4690 | 0.0380 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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