pippinnie/distilroberta-base-finetuned-cyber-readme-v2

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: 2.5523
• Train Accuracy: 0.0844
• Validation Loss: 2.2331
• Validation Accuracy: 0.0916
• 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
2.9763	0.0766	2.5856	0.0839	0
2.8159	0.0795	2.4501	0.0871	1
2.7022	0.0816	2.3638	0.0892	2
2.6160	0.0831	2.2778	0.0909	3
2.5523	0.0844	2.2331	0.0916	4

Framework versions

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