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wav2vec2-base-vi-160h-finetuned
minhtien2405/wav2vec2-base-vi-160h-finetuned
wav2vec2-base-vi-160h-finetuned is a automatic speech recognition model from minhtien2405. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 7, 2025
- Updated
- Aug 8, 2025
- SHA
- f584709d
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. -->
wav2vec2-base-vi-160h-finetuned
This model is a fine-tuned version of khanhld/wav2vec2-base-vietnamese-160h on the nguyendv02/ViMD_Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4200
- Wer: 0.1873
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 13
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.626 | 1.0639 | 500 | 0.5423 | 0.3089 |
| 0.6393 | 2.1278 | 1000 | 0.4949 | 0.2891 |
| 0.455 | 3.1917 | 1500 | 0.4622 | 0.2541 |
| 0.4141 | 4.2556 | 2000 | 0.4576 | 0.2451 |
| 0.4672 | 5.3195 | 2500 | 0.4485 | 0.2411 |
| 0.3456 | 6.3834 | 3000 | 0.4402 | 0.2242 |
| 0.3189 | 7.4473 | 3500 | 0.4565 | 0.2227 |
| 0.3851 | 8.5112 | 4000 | 0.4398 | 0.2253 |
| 0.2758 | 9.5751 | 4500 | 0.4432 | 0.2138 |
| 0.262 | 10.6390 | 5000 | 0.4546 | 0.2127 |
| 0.226 | 11.7029 | 5500 | 0.4668 | 0.2071 |
| 0.1971 | 12.7689 | 6000 | 0.4765 | 0.1946 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Languages
- vi
- Created
- Aug 7, 2025
- Updated
- Aug 8, 2025