TExAS-SQuAD-fr
This model is a fine-tuned version of xlm-roberta-base on the TExAS-SQuAD-fr dataset. It achieves the following results on the evaluation set:
- Exact match: xx.xx%
- F1-score: xx.xx%
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 |
|---|---|---|---|
| 2.1478 | 0.23 | 1000 | 1.8543 |
| 1.9827 | 0.46 | 2000 | 1.7643 |
| 1.8427 | 0.69 | 3000 | 1.6789 |
| 1.8372 | 0.92 | 4000 | 1.6137 |
| 1.7318 | 1.15 | 5000 | 1.6093 |
| 1.6603 | 1.38 | 6000 | 1.7157 |
| 1.6334 | 1.61 | 7000 | 1.6302 |
| 1.6716 | 1.84 | 8000 | 1.5845 |
| 1.5192 | 2.06 | 9000 | 1.6690 |
| 1.5174 | 2.29 | 10000 | 1.6669 |
| 1.4611 | 2.52 | 11000 | 1.6301 |
| 1.4648 | 2.75 | 12000 | 1.6009 |
| 1.5052 | 2.98 | 13000 | 1.6133 |
Framework versions
- Transformers 4.12.2
- Pytorch 1.8.1+cu101
- Datasets 1.12.1
- Tokenizers 0.10.3