bert-case-diario-uniao-classification

This model is a fine-tuned version of pierreguillou/bert-base-cased-pt-lenerbr on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0396
• Accuracy: 0.9960

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1548	1.0	1563	0.0554	0.9936
0.029	2.0	3126	0.0438	0.9952
0.0084	3.0	4689	0.0396	0.9960

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0