vietnamese-regional-accent-classification-model
This model achieves the following results on the evaluation set:
- Loss: 0.5951
- F1: 0.8217
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 11
Training results
| Training Loss | Epoch | Step | F1 | Validation Loss |
|---|---|---|---|---|
| 1.0507 | 1.0 | 44 | 0.7563 | 0.8615 |
| 0.8157 | 2.0 | 88 | 0.7804 | 0.7120 |
| 0.7555 | 3.0 | 132 | 0.7981 | 0.6501 |
| 0.7006 | 4.0 | 176 | 0.7635 | 0.6767 |
| 0.6825 | 5.0 | 220 | 0.8005 | 0.6370 |
| 0.6595 | 6.0 | 264 | 0.7735 | 0.6832 |
| 0.6634 | 7.0 | 308 | 0.8078 | 0.6044 |
| 0.627 | 8.0 | 352 | 0.7873 | 0.6399 |
| 0.603 | 9.0 | 396 | 0.8255 | 0.5825 |
| 0.5977 | 10.0 | 440 | 0.8180 | 0.5931 |
| 0.5635 | 11.0 | 484 | 0.8217 | 0.5951 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0