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:
- F1: 0.8520
- Loss: 0.1371
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 OptimizerNames.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 | F1 | Validation Loss |
|---|---|---|---|---|
| 0.2554 | 1.0 | 525 | 0.8370 | 0.1518 |
| 0.1277 | 2.0 | 1050 | 0.8520 | 0.1371 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 5
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for nhatkhangdtp/xlm-roberta-base-finetuned-panx-de
Base model
FacebookAI/xlm-roberta-base