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quangrmit/
ft-bert-base-uncased-for-binary-search

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

safetensors

distilbert

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

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

This model is a fine-tuned version of distilbert-base-uncased on the /kaggle/input/d/skywardai/network-vulnerability/network_vulnerability_dataset.csv dataset. It achieves the following results on the evaluation set:

Loss: 0.1917

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.1637	1.0	63	0.1948
0.215	2.0	126	0.1941
0.2236	3.0	189	0.1932
0.2436	4.0	252	0.1912
0.2069	5.0	315	0.1914
0.3242	6.0	378	0.1917

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

quangrmit/ft-bert-base-uncased-for-binary-search

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

quangrmit/
ft-bert-base-uncased-for-binary-search