V2_20230929-2-xlm-roberta-base-new
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5039
- Loss: 2.6835
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: 2e-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: 15
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 4.4183 | 1.38 | 200 | 0.2930 | 4.0757 |
| 3.8709 | 2.76 | 400 | 0.3965 | 3.5204 |
| 3.5868 | 4.14 | 600 | 0.3966 | 3.6372 |
| 3.4535 | 5.52 | 800 | 0.3861 | 3.1226 |
| 3.2517 | 6.9 | 1000 | 0.5114 | 2.8287 |
| 3.0993 | 8.28 | 1200 | 0.4145 | 3.1237 |
| 2.9453 | 9.66 | 1400 | 0.4463 | 3.1327 |
| 2.9466 | 11.03 | 1600 | 0.4464 | 2.9664 |
| 2.88 | 12.41 | 1800 | 0.4900 | 2.7364 |
| 2.8148 | 13.79 | 2000 | 0.5039 | 2.6835 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3