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TrunkG0d/
Balanced-KFold-ft-bert-base-uncased-for-binary-search

Name: Balanced-KFold-ft-bert-base-uncased-for-binary-search
Availability: InStock

generated_from_trainer

google-bert/bert-base-uncased

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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: 0.4549
Accuracy: 0.7989

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4663	1.0	109	0.4549	0.7989
0.4814	2.0	218	0.4474	0.7989
0.4625	3.0	327	0.4467	0.7989
0.523	4.0	436	0.4532	0.7989

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.20.1

TrunkG0d/Balanced-KFold-ft-bert-base-uncased-for-binary-search

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TrunkG0d/
Balanced-KFold-ft-bert-base-uncased-for-binary-search