bert-base-cased-squad-v1.1-pt_IBAMA_v0.1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8062
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 | 4.5493 |
No log | 2.0 | 108 | 4.5361 |
No log | 3.0 | 162 | 4.5211 |
No log | 4.0 | 216 | 4.9859 |
No log | 5.0 | 270 | 5.1627 |
No log | 6.0 | 324 | 5.3270 |
No log | 7.0 | 378 | 5.5119 |
No log | 8.0 | 432 | 5.6424 |
No log | 9.0 | 486 | 5.7753 |
1.8808 | 10.0 | 540 | 5.8062 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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