xlm-roberta-base-finetuned-panx-de
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|
| 0.2577 | 1.0 | 1573 | 0.1979 | 0.8257 |
| 0.1407 | 2.0 | 3146 | 0.1478 | 0.8552 |
| 0.0821 | 3.0 | 4719 | 0.1619 | 0.8665 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.7.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.1
