my_awesome_model
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: 0.1010
- F1: 0.4635
- Roc Auc: 0.6658
- Accuracy: 0.3274
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: 64
- eval_batch_size: 64
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1859 | 1.0 | 679 | 0.1207 | 0.3745 | 0.6234 | 0.2519 |
| 0.1214 | 2.0 | 1358 | 0.1049 | 0.4352 | 0.6515 | 0.3069 |
| 0.1011 | 3.0 | 2037 | 0.1018 | 0.4699 | 0.6698 | 0.3415 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for pltoledo/my_awesome_model
Base model
neuralmind/bert-base-portuguese-cased