mamba_sec_category_classification

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0895
• Accuracy: 0.985
• Precision: 0.985
• Recall: 0.985
• F1: 0.985

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0049	1.0	1000	0.0999	0.975	0.975	0.975	0.975
0.0002	2.0	2000	0.0895	0.985	0.985	0.985	0.985

Framework versions

• Transformers 4.44.2
• Pytorch 2.1.1+cu118
• Datasets 3.1.0
• Tokenizers 0.19.1