Solidity Smart Contract Vulnerability Detection
Collection
A collection of experimental fine-tuned models fine-tuned for vulnerability detection for Solidity smart contracts. • 5 items • Updated • 2
CodeT5-Base-Solidity-Vulnerability
This model is a fine-tuned version of Salesforce/codet5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0321
- eval_accuracy: 0.9958
- eval_precision: 0.9958
- eval_recall: 0.9958
- eval_f1: 0.9958
- eval_runtime: 133.257
- eval_samples_per_second: 8.848
- eval_steps_per_second: 8.848
- epoch: 2.0
- step: 9426
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: 0.0001
- 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
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for angusleung100/CodeT5-Base-Solidity-Vulnerability
Base model
Salesforce/codet5-base