roberta-base-autextification

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

• Loss: 1.3253
• Accuracy: 0.6297
• Roc Auc: 0.8980

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Roc Auc
0.4844	1.0	3385	0.2904	0.9057	0.9745
0.1311	2.0	6770	0.4360	0.8997	0.9817
0.1576	3.0	10155	0.5514	0.9088	0.9837

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1