metadata

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

Balanced-KFold-ft-bert-base-uncased-for-binary-search

This model is a fine-tuned version of bert-base-uncased on the network_vulnerability_dataset.csv dataset. It achieves the following results on the evaluation set:

Loss: 0.5028
Accuracy: 0.7256

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4316	1.0	87	0.5028	0.7256
0.5173	2.0	174	0.5019	0.7256
0.4516	3.0	261	0.5064	0.7256
0.4646	4.0	348	0.5050	0.7256

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.20.1