region_classifier
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3548
- Accuracy: 0.6825
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: 3e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7581 | 1.0 | 901 | 0.8892 | 0.5666 |
| 0.4593 | 2.0 | 1802 | 0.9281 | 0.6690 |
| 0.392 | 3.0 | 2703 | 1.0334 | 0.6645 |
| 0.3491 | 4.0 | 3604 | 1.1405 | 0.6708 |
| 0.2867 | 5.0 | 4505 | 1.1756 | 0.6807 |
| 0.2908 | 6.0 | 5406 | 1.2056 | 0.6766 |
| 0.2573 | 7.0 | 6307 | 1.2217 | 0.6850 |
| 0.2528 | 8.0 | 7208 | 1.3165 | 0.6836 |
| 0.2747 | 9.0 | 8109 | 1.3310 | 0.6848 |
| 0.1905 | 10.0 | 9010 | 1.3548 | 0.6825 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Base model
nguyenvulebinh/wav2vec2-base-vi