metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertimbau-base-finetuned-lener-br-finetuned-peticoes-competencia
results: []
bertimbau-base-finetuned-lener-br-finetuned-peticoes-competencia
This model is a fine-tuned version of Luciano/bertimbau-base-finetuned-lener-br on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.1358
- Accuracy: 0.0053
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3445 | 1.0 | 904 | 6.0357 | 0.0036 |
| 1.319 | 2.0 | 1808 | 6.4153 | 0.0061 |
| 1.0746 | 3.0 | 2712 | 6.6935 | 0.0058 |
| 0.9022 | 4.0 | 3616 | 7.0270 | 0.0053 |
| 0.7988 | 5.0 | 4520 | 7.1358 | 0.0053 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1