bert-base-cased-squad-v1.1-portuguese_v1.1.2
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: 2.2994
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: 2e-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: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 50 | 1.9393 |
No log | 2.0 | 100 | 1.8813 |
No log | 3.0 | 150 | 2.1199 |
No log | 4.0 | 200 | 2.2235 |
No log | 5.0 | 250 | 2.2994 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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