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
