MT_authorship_att_berteus

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5736
• eval_precision: 0.8254
• eval_recall: 0.8254
• eval_f1: 0.8254
• eval_accuracy: 0.8254
• eval_runtime: 290.681
• eval_samples_per_second: 863.434
• eval_steps_per_second: 13.492
• step: 0

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
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1