pippinnie/distilroberta-base-finetuned-cyber-readme-v3

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

• Train Loss: 2.7116
• Train Accuracy: 0.0814
• Validation Loss: 2.5571
• Validation Accuracy: 0.0858
• Epoch: 4

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
3.2140	0.0725	2.8631	0.0799	0
2.9968	0.0763	2.7521	0.0823	1
2.8759	0.0783	2.6538	0.0835	2
2.7824	0.0801	2.6089	0.0855	3
2.7116	0.0814	2.5571	0.0858	4

Framework versions

• Transformers 4.38.2
• TensorFlow 2.16.1
• Datasets 2.18.0
• Tokenizers 0.15.2