modelo_racismo
This model is a fine-tuned version of PORTULAN/albertina-ptbr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0036
- Accuracy: 0.9989
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 468 | 0.2304 | 0.9583 |
0.7037 | 2.0 | 936 | 0.0847 | 0.9840 |
0.256 | 3.0 | 1404 | 0.0075 | 0.9979 |
0.0759 | 4.0 | 1872 | 0.0036 | 0.9989 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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