xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base 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: 48
- eval_batch_size: 48
- 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 |
F1 |
| No log |
1.0 |
263 |
0.1551 |
0.8191 |
| 0.2139 |
2.0 |
526 |
0.1359 |
0.8465 |
| 0.2139 |
3.0 |
789 |
0.1356 |
0.8547 |
Framework versions
- Transformers 4.44.2
- Pytorch 1.13.1+cu116
- Datasets 2.21.0
- Tokenizers 0.19.1
