xlm-roberta-base-finetuned-panx-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: 0.1357
- F1: 0.8537
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2499 | 1.0 | 787 | 0.1550 | 0.8234 |
| 0.12 | 2.0 | 1574 | 0.1357 | 0.8537 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for NurekeKZ/xlm-roberta-base-finetuned-panx-de
Base model
FacebookAI/xlm-roberta-base