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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: 0.2499
- F1: 0.8556
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2914 | 1.0 | 2718 | 0.2250 | 0.8097 |
| 0.1538 | 2.0 | 5436 | 0.2341 | 0.8414 |
| 0.0884 | 3.0 | 8154 | 0.2499 | 0.8556 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.8.0
- Datasets 2.9.0
- Tokenizers 0.13.2
