bert-base-cased-squad-v1.1-pt_IBAMA_v0.1610_f1exa
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: 5.0650
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
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 54 | 4.1597 |
| No log | 2.0 | 108 | 4.0590 |
| No log | 3.0 | 162 | 4.1050 |
| No log | 4.0 | 216 | 4.3401 |
| No log | 5.0 | 270 | 4.5709 |
| No log | 6.0 | 324 | 4.6717 |
| No log | 7.0 | 378 | 4.8836 |
| No log | 8.0 | 432 | 5.0632 |
| No log | 9.0 | 486 | 5.0340 |
| 1.7936 | 10.0 | 540 | 5.0650 |
Evaluate
{'exact_match': 0.46511627906976744, 'f1': 21.52098420733458}
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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