mbart50-qg-ap-oficial
This model is a fine-tuned version of facebook/mbart-large-50 on the tiagoblima/du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.6071
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: 64
- 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 |
|---|---|---|---|
| 1.5246 | 1.0 | 2367 | 1.6230 |
| 1.1209 | 2.0 | 4734 | 1.6071 |
| 0.7672 | 3.0 | 7101 | 1.6841 |
| 0.4498 | 4.0 | 9468 | 1.9623 |
| 0.231 | 5.0 | 11835 | 2.2796 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1