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: 0.1968
- F1: 0.8767
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.2835 | 1.0 | 715 | 0.1750 | 0.8105 |
0.1546 | 2.0 | 1430 | 0.1605 | 0.8548 |
0.1037 | 3.0 | 2145 | 0.1504 | 0.8601 |
0.0711 | 4.0 | 2860 | 0.1671 | 0.8649 |
0.0481 | 5.0 | 3575 | 0.1779 | 0.8710 |
0.0307 | 6.0 | 4290 | 0.1968 | 0.8767 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 0