absa_model_v1
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the main dataset. It achieves the following results on the evaluation set:
- Loss: 0.7541
- Precision: 0.4979
- Recall: 0.5325
- F1: 0.5146
- Accuracy: 0.7477
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.7317 | 1.0 | 5905 | 0.7541 | 0.4979 | 0.5325 | 0.5146 | 0.7477 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.0
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Base model
neuralmind/bert-base-portuguese-casedEvaluation results
- Precision on __main__test set self-reported0.498
- Recall on __main__test set self-reported0.533
- F1 on __main__test set self-reported0.515
- Accuracy on __main__test set self-reported0.748