bert-base-squad-v1.1-pt-IBAMA_v0.320240905195834
This model is a fine-tuned version of pierreguillou/bert-base-cased-squad-v1.1-portuguese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9704
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
{'exact_match': 0.25, 'f1': 21.753694852800685}
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 25 | 4.6387 |
| No log | 2.0 | 50 | 4.4020 |
| No log | 3.0 | 75 | 4.2949 |
| No log | 4.0 | 100 | 4.3557 |
| No log | 5.0 | 125 | 4.5441 |
| No log | 6.0 | 150 | 4.5103 |
| No log | 7.0 | 175 | 4.6722 |
| No log | 8.0 | 200 | 4.7587 |
| No log | 9.0 | 225 | 4.9252 |
| No log | 10.0 | 250 | 4.9704 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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