metadata

base_model: neuralsentry/starencoder-git-commits-mlm
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: starencoder-vulnfix-classification
    results: []

starencoder-vulnfix-classification

This model is a fine-tuned version of neuralsentry/starencoder-git-commits-mlm on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2327
Accuracy: 0.9274
Precision: 0.9691
Recall: 0.9199
F1: 0.9438
Roc Auc: 0.9310

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: 128
eval_batch_size: 128
seed: 420
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.2872	1.57	66	0.2017	0.9177	0.9439	0.9312	0.9375	0.9111

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3