xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on the germeval_14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0744
- F1: 0.8588
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 |
|---|---|---|---|---|
| 0.1261 | 1.0 | 1000 | 0.0769 | 0.8335 |
| 0.0555 | 2.0 | 2000 | 0.0679 | 0.8568 |
| 0.0329 | 3.0 | 3000 | 0.0744 | 0.8588 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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