bert-base-historic-multilingual-cased-squad-fr
This model is a fine-tuned version of dbmdz/bert-base-historic-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7001
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9769 | 1.0 | 3660 | 1.8046 |
| 1.6309 | 2.0 | 7320 | 1.7001 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2