MT_authorship_att

This model is a fine-tuned version of ixa-ehu/berteus-base-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1355
• Accuracy: 0.9243

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1653	0.9999	784	0.1379	0.9227
0.133	1.9998	1568	0.1338	0.9251
0.1253	2.9998	2352	0.1316	0.9244
0.1155	3.9997	3136	0.1335	0.9249
0.1114	4.9996	3920	0.1355	0.9243

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1