secmlr/best_n_no_rationale_poc_agent_withjava_vulnllm_final_model_repo_vulnscan

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bestnnorationalepocagentwithjavavulnllmfinalmodelrepo_vulnscan

This model is a fine-tuned version of secmlr/final_model on the bestnnorationalepocagentwithjava_vulnllm dataset.

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: 1e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 12
• —totaltrainbatch_size: 48
• —totalevalbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.51.2
• —Pytorch 2.7.0+cu126
• —Datasets 3.5.0
• —Tokenizers 0.21.1