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codebert-java-vul4j-ft – AI Model by khanhtran0111 | AlphaNeural AI
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codebert-java-vul4j-ft
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transformers
safetensors
roberta
text-classification
generated_from_trainer
mangsense/codebert_java
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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codebert-java-vul4j-ft
This model is a fine-tuned version of
mangsense/codebert_java
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5547
Accuracy: 0.7143
F1: 0.4286
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
66
0.4762
0.6988
0.3243
No log
2.0
132
0.3536
0.8313
0.125
No log
3.0
198
0.4353
0.8434
0.0
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
