bert-base-squad-v1.1-pt-IBAMA_v0.420240914220642
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: 4.3144
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': 2.4154589371980677, 'f1': 34.995838805019275}
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 52 | 4.1699 |
No log | 2.0 | 104 | 3.8285 |
No log | 3.0 | 156 | 3.8217 |
No log | 4.0 | 208 | 3.8694 |
No log | 5.0 | 260 | 3.8957 |
No log | 6.0 | 312 | 3.9543 |
No log | 7.0 | 364 | 4.1262 |
No log | 8.0 | 416 | 4.2024 |
No log | 9.0 | 468 | 4.2965 |
2.9199 | 10.0 | 520 | 4.3144 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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