distilroberta-base-finetuned-githubCybersecurity

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.7557

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• 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
3.2084	1.0	601	2.9314
2.9457	2.0	1202	2.8003
2.8274	3.0	1803	2.6980

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.2.0.post100
• Datasets 2.18.0
• Tokenizers 0.15.2