---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: ft-bert-base-uncased-for-binary-search
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ft-bert-base-uncased-for-binary-search

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the https://www.kaggle.com/datasets/skywardai/network-vulnerability dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1812

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1845        | 1.0   | 63   | 0.1808          |
| 0.1793        | 2.0   | 126  | 0.1811          |
| 0.2158        | 3.0   | 189  | 0.1812          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.2.2
- Datasets 3.1.0
- Tokenizers 0.20.1