mt5_base-qg-ap-peft-oficial
This model is a fine-tuned version of google/mt5-base on the tiagoblima/du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 6.6924
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 |
|---|---|---|---|
| 10.2785 | 1.0 | 2367 | 7.4566 |
| 9.7078 | 2.0 | 4734 | 7.0581 |
| 9.4851 | 3.0 | 7101 | 6.8360 |
| 9.2737 | 4.0 | 9468 | 6.7291 |
| 9.3588 | 5.0 | 11835 | 6.6924 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
Model tree for tiagoblima/mt5_base-qg-ap-peft-oficial
Base model
google/mt5-base