XLMRoberta-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:
- Loss: 0.1367
- F1 score: 0.8513
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: 2e-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 score |
|---|---|---|---|---|
| 0.298 | 1.0 | 525 | 0.1594 | 0.8268 |
| 0.1437 | 2.0 | 1050 | 0.1413 | 0.8428 |
| 0.1075 | 3.0 | 1575 | 0.1367 | 0.8513 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Romain1311/XLMRoberta-DE
Base model
FacebookAI/xlm-roberta-base