TExAS-SQuAD-is
This model is a fine-tuned version of xlm-roberta-base on the TExAS-SQuAD-is dataset. It achieves the following results on the evaluation set:
- Exact match: 56.91%
- F1-score: 59.93%
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 2.1458 | 1.0 | 4219 | 1.8892 |
| 1.9202 | 2.0 | 8438 | 1.8566 |
| 1.7377 | 3.0 | 12657 | 1.8688 |
Framework versions
- Transformers 4.12.2
- Pytorch 1.8.1+cu101
- Datasets 1.12.1
- Tokenizers 0.10.3
