t5_base-qg-aap-nopeft
This model is a fine-tuned version of unicamp-dl/ptt5-base-t5-vocab on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.0926
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0561 | 1.0 | 1616 | 1.1296 |
| 0.9695 | 2.0 | 3232 | 1.1012 |
| 0.9111 | 3.0 | 4848 | 1.0933 |
| 0.8691 | 4.0 | 6464 | 1.0926 |
| 0.8543 | 5.0 | 8080 | 1.0950 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0