TrunkG0d/Imbalanced-ft-bert-base-uncased-for-binary-search

<!-- 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. -->

Imbalanced-ft-bert-base-uncased-for-binary-search

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

• —Loss: 0.1965

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0