gpt2-small-portuguese-finetuned-peticoes
This model is a fine-tuned version of pierreguillou/gpt2-small-portuguese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4062
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 404 | 3.5455 |
| 3.8364 | 2.0 | 808 | 3.4326 |
| 3.4816 | 3.0 | 1212 | 3.4062 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3