sbartlett97/SecureBERT2.0-ner

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SecureBERT2.0-ner

This model is a fine-tuned version of cisco-ai/SecureBERT2.0-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2745
• —Precision: 0.5641
• —Recall: 0.5361
• —F1: 0.5497
• —Accuracy: 0.8981

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.1+cu128
• —Datasets 4.4.2
• —Tokenizers 0.22.1