metadata
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bertimbau_toldbr
results: []
bertimbau_toldbr
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6976
- Acc: 0.724
- F1: 0.7107
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | F1 |
|---|---|---|---|---|---|
| 0.5746 | 1.0 | 63 | 0.6290 | 0.685 | 0.7091 |
| 0.4933 | 2.0 | 126 | 0.5979 | 0.711 | 0.7375 |
| 0.3049 | 3.0 | 189 | 0.6137 | 0.735 | 0.6929 |
| 0.2006 | 4.0 | 252 | 0.6976 | 0.724 | 0.7107 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1