xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1676
- F1: 0.8817
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.228 | 1.0 | 835 | 0.1690 | 0.8426 |
| 0.1119 | 2.0 | 1670 | 0.1614 | 0.8690 |
| 0.0599 | 3.0 | 2505 | 0.1676 | 0.8817 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for ahmedelzayat077/xlm-roberta-base-finetuned-panx-de
Base model
google-bert/bert-base-multilingual-cased