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posneg
This model is a fine-tuned version of bert-base-multilingual-uncased on the Positivo Negativo dataset. It achieves the following results on the evaluation set:
- Loss: 0.3366
- Accuracy: 0.8692
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 61 | 0.3870 | 0.8692 |
| No log | 2.0 | 122 | 0.3366 | 0.8692 |
| No log | 3.0 | 183 | 0.4307 | 0.8692 |
| No log | 4.0 | 244 | 0.5684 | 0.8598 |
| No log | 5.0 | 305 | 0.4044 | 0.9065 |
| No log | 6.0 | 366 | 0.5123 | 0.9065 |
| No log | 7.0 | 427 | 0.4560 | 0.9065 |
| No log | 8.0 | 488 | 0.5003 | 0.8972 |
| 0.1877 | 9.0 | 549 | 0.4358 | 0.9252 |
| 0.1877 | 10.0 | 610 | 0.4237 | 0.9252 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
