metadata
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: zeek_logs_malicious_benign
results: []
zeek_logs_malicious_benign
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0036
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 |
|---|---|---|---|
| 0.1602 | 1.0 | 857 | 0.0280 |
| 0.0326 | 2.0 | 1714 | 0.0220 |
| 0.0057 | 3.0 | 2571 | 0.0051 |
| 0.0074 | 4.0 | 3428 | 0.0037 |
| 0.0034 | 5.0 | 4285 | 0.0036 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1