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: 0.1494
- F1: 0.8642
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: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|---|
| 0.252 | 1.0 | 1049 | 0.1746 | 0.8203 |
| 0.1325 | 2.0 | 2098 | 0.1484 | 0.8526 |
| 0.0787 | 3.0 | 3147 | 0.1494 | 0.8642 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.20.1
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Model tree for HR-T/xlm-roberta-base-finetuned-panx-de
Base model
FacebookAI/xlm-roberta-base