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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: 0.2123
- F1: 0.8766
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2657 | 1.0 | 525 | 0.1690 | 0.8133 |
| 0.1409 | 2.0 | 1050 | 0.1438 | 0.8450 |
| 0.0995 | 3.0 | 1575 | 0.1517 | 0.8473 |
| 0.068 | 4.0 | 2100 | 0.1528 | 0.8590 |
| 0.0503 | 5.0 | 2625 | 0.1663 | 0.8613 |
| 0.0351 | 6.0 | 3150 | 0.1820 | 0.8703 |
| 0.0245 | 7.0 | 3675 | 0.1853 | 0.8705 |
| 0.0164 | 8.0 | 4200 | 0.1968 | 0.8743 |
| 0.0102 | 9.0 | 4725 | 0.2087 | 0.8789 |
| 0.0067 | 10.0 | 5250 | 0.2123 | 0.8766 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0
