distilbert-base-multilingual-cased-aoe-en-indo
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: 0.3997
- Accuracy: 0.8715
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 |
|---|---|---|---|---|
| 0.2904 | 1.0 | 292 | 0.3097 | 0.8698 |
| 0.3509 | 2.0 | 584 | 0.2919 | 0.8745 |
| 0.2116 | 3.0 | 876 | 0.3302 | 0.8728 |
| 0.225 | 4.0 | 1168 | 0.3540 | 0.8702 |
| 0.1239 | 5.0 | 1460 | 0.3997 | 0.8715 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3