Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
GraphCodeBERT-Base-Solidity-Vulnerability – AI Model by angusleung100 | AlphaNeural AI
You can deploy this model and start earning money today!
angusleung100
/
GraphCodeBERT-Base-Solidity-Vulnerability
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
microsoft/graphcodebert-base
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
GraphCodeBERT-Base-Solidity-Vulnerability
This model is a fine-tuned version of
microsoft/graphcodebert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0
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: 1
eval_batch_size: 1
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
Accuracy
Precision
Recall
F1
0.0522
1.0
4713
0.0101
0.9992
0.9992
0.9992
0.9992
0.0563
2.0
9426
0.0000
1.0
1.0
1.0
1.0
0.0
3.0
14139
0.0000
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
