distilbert-base-multilingual-cased-aoe-test2
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: 0.1055
- Accuracy: 0.9727
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 |
|---|---|---|---|---|
| 0.1014 | 1.0 | 375 | 0.0816 | 0.9717 |
| 0.103 | 2.0 | 750 | 0.0845 | 0.9667 |
| 0.0438 | 3.0 | 1125 | 0.1055 | 0.9727 |
| 0.0367 | 4.0 | 1500 | 0.1231 | 0.9677 |
| 0.0031 | 5.0 | 1875 | 0.1312 | 0.966 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3