bert-base-multilingual-cased-squad-es
This model is a fine-tuned version of bert-base-multilingual-cased on the xquad_xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 1.2235
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1125 | 1.0 | 5668 | 1.1405 |
| 0.839 | 2.0 | 11336 | 1.1626 |
| 0.6148 | 3.0 | 17004 | 1.2235 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1