mt5_base-qg-aas-oficial
This model is a fine-tuned version of google/mt5-base on the tiagoblima/preprocessed-du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.5883
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 |
|---|---|---|---|
| 1.9679 | 1.0 | 1386 | 1.6873 |
| 1.7971 | 2.0 | 2772 | 1.6266 |
| 1.6798 | 3.0 | 4158 | 1.5994 |
| 1.6261 | 4.0 | 5544 | 1.5885 |
| 1.5887 | 5.0 | 6930 | 1.5883 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
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Model tree for tiagoblima/mt5_base-qg-aas-oficial
Base model
google/mt5-base