distilbert-base-multilingual-cased-aoe-test4
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1679
- Accuracy: 0.9608
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: 32
- eval_batch_size: 32
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1346 | 1.0 | 1392 | 0.1066 | 0.9601 |
| 0.0653 | 2.0 | 2784 | 0.1069 | 0.9591 |
| 0.0696 | 3.0 | 4176 | 0.1679 | 0.9608 |
| 0.0341 | 4.0 | 5568 | 0.1842 | 0.9546 |
| 0.0339 | 5.0 | 6960 | 0.2154 | 0.9549 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3