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Vietnamese_Wav2Vec_Finetune_round4
pdabo1607/Vietnamese_Wav2Vec_Finetune_round4
Vietnamese_Wav2Vec_Finetune_round4 is a automatic speech recognition model from pdabo1607. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- b63b94f6
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
Vietnamese_Wav2Vec_Finetune_round4
This model is a fine-tuned version of pdabo1607/Vietnamese_Wav2Vec_Finetune_round3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5299
- Wer: 0.2952
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6354 | 0.9434 | 400 | 0.5751 | 0.3284 |
| 0.605 | 1.8868 | 800 | 0.5745 | 0.3228 |
| 0.6128 | 2.8302 | 1200 | 0.5783 | 0.3196 |
| 0.594 | 3.7736 | 1600 | 0.5680 | 0.3148 |
| 0.585 | 4.7170 | 2000 | 0.5495 | 0.3163 |
| 0.5651 | 5.6604 | 2400 | 0.5499 | 0.3102 |
| 0.5789 | 6.6038 | 2800 | 0.5518 | 0.3088 |
| 0.5571 | 7.5472 | 3200 | 0.5376 | 0.3084 |
| 0.565 | 8.4906 | 3600 | 0.5444 | 0.3033 |
| 0.564 | 9.4340 | 4000 | 0.5450 | 0.3012 |
| 0.5701 | 10.3774 | 4400 | 0.5336 | 0.3008 |
| 0.5608 | 11.3208 | 4800 | 0.5334 | 0.2981 |
| 0.5765 | 12.2642 | 5200 | 0.5292 | 0.2958 |
| 0.5655 | 13.2075 | 5600 | 0.5328 | 0.2953 |
| 0.5857 | 14.1509 | 6000 | 0.5299 | 0.2952 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 4.4.1
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025