oracle_class_vert_v3
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5665
- Precision: 0.8326
- Recall: 0.8336
- Accuracy: 0.8477
- F1: 0.8310
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: 6e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
|---|---|---|---|---|---|---|---|
| 0.5484 | 1.4589 | 550 | 0.5911 | 0.8063 | 0.8028 | 0.8308 | 0.8010 |
| 0.3253 | 2.9178 | 1100 | 0.5665 | 0.8326 | 0.8336 | 0.8477 | 0.8310 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for mateussj/oracle_class_vert_v3
Base model
neuralmind/bert-base-portuguese-cased