metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: bertimbau-base-finetuned-lener-br
results: []
bertimbau-base-finetuned-lener-br
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: 1.0377
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3035 | 1.0 | 2079 | 1.1031 |
| 1.1463 | 2.0 | 4158 | 1.0337 |
| 1.0595 | 3.0 | 6237 | 1.0484 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1