xlm-roberta-base-finetuned-panx-fr
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: 0.2674
- F1: 0.8449
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 |
|---|---|---|---|---|
| 0.5447 | 1.0 | 191 | 0.3113 | 0.8026 |
| 0.2605 | 2.0 | 382 | 0.2711 | 0.8221 |
| 0.1827 | 3.0 | 573 | 0.2674 | 0.8449 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for mcguiver/xlm-roberta-base-finetuned-panx-fr
Base model
FacebookAI/xlm-roberta-base