distilbert-base-multilingual-cased-aoe-multi
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: 0.4792
- Accuracy: 0.8661
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: 8
- 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 |
|---|---|---|---|---|
| 0.3755 | 1.0 | 491 | 0.3491 | 0.8472 |
| 0.2374 | 2.0 | 982 | 0.3488 | 0.8585 |
| 0.1955 | 3.0 | 1473 | 0.3532 | 0.8692 |
| 0.1831 | 4.0 | 1964 | 0.4160 | 0.8646 |
| 0.0525 | 5.0 | 2455 | 0.4792 | 0.8661 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3