xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.3903
- F1: 0.7590
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: 24
- eval_batch_size: 24
- 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 |
|---|---|---|---|---|
| 1.0489 | 1.0 | 50 | 0.5561 | 0.6565 |
| 0.4953 | 2.0 | 100 | 0.4385 | 0.7189 |
| 0.35 | 3.0 | 150 | 0.3903 | 0.7590 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.8.2+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3