| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: boltuix/bert-micro |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-micro-cybersecurity |
| | 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. --> |
| |
|
| | # bert-micro-cybersecurity |
| |
|
| | This model is a fine-tuned version of [boltuix/bert-micro](https://huggingface.co/boltuix/bert-micro) on the None dataset. |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.06 |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
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| | ### Framework versions |
| |
|
| | - Transformers 4.57.0 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 4.2.0 |
| | - Tokenizers 0.22.1 |
| |
|
