distilbert

This model is a fine-tuned version of adalbertojunior/distilbert-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0998
• Acc: 0.932
• F1: 0.9328

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Acc	F1
0.0911	1.0	313	0.1088	0.924	0.9254
0.0453	2.0	626	0.0998	0.932	0.9328

Framework versions

• Transformers 5.9.0
• Pytorch 2.10.0+cu128
• Datasets 4.8.5
• Tokenizers 0.22.2