xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1963
- F1: 0.8686
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2831 | 1.0 | 715 | 0.1776 | 0.8243 |
| 0.1527 | 2.0 | 1430 | 0.1724 | 0.8486 |
| 0.1056 | 3.0 | 2145 | 0.1640 | 0.8560 |
| 0.0683 | 4.0 | 2860 | 0.1842 | 0.8581 |
| 0.0459 | 5.0 | 3575 | 0.1963 | 0.8686 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Dat1710/xlm-roberta-base-finetuned-panx-de-fr
Base model
FacebookAI/xlm-roberta-base