| | --- |
| | library_name: transformers |
| | license: cc-by-nc-4.0 |
| | base_model: nguyenvulebinh/wav2vec2-base-vi |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: region_classifier |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # region_classifier |
| | |
| | This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/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 |
| |
|
