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ft-bert-base-uncased-for-binary-search – AI Model by Truong1324567 | AlphaNeural AI
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Truong1324567
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ft-bert-base-uncased-for-binary-search
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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: 0.2920
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1858
1.0
50
0.3176
0.2698
2.0
100
0.3079
0.2514
3.0
150
0.2920
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0