Downloads · 30 days
110
27% of all-time downloads
Wav2Vec_VinData
hoanghuy2000gl/Wav2Vec_VinData
Wav2Vec_VinData is a automatic speech recognition model from hoanghuy2000gl. 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. --
All-time downloads
411
Public
Parameters
316M
31.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 5, 2025
- Updated
- Sep 19, 2026
- SHA
- fdd7c22d
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. -->
Wav2Vec_VinData
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8569
- Wer: 0.3143
- Cer: 0.1316
- Syer: 0.3143
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Syer |
|---|---|---|---|---|---|---|
| 27.7293 | 0.6591 | 500 | 3.4983 | 1.0 | 1.0 | 1.0 |
| 13.7701 | 1.3177 | 1000 | 1.4881 | 0.6608 | 0.2736 | 0.6608 |
| 11.0362 | 1.9768 | 1500 | 1.1284 | 0.4733 | 0.1992 | 0.4733 |
| 9.4754 | 2.6354 | 2000 | 0.9490 | 0.3819 | 0.1600 | 0.3819 |
| 8.2131 | 3.2940 | 2500 | 0.9020 | 0.3377 | 0.1412 | 0.3377 |
| 7.2151 | 3.9530 | 3000 | 0.8558 | 0.3147 | 0.1316 | 0.3147 |
| 7.2151 | 4.0 | 3036 | 0.8569 | 0.3143 | 0.1316 | 0.3143 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.23.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 5, 2025
- Updated
- Sep 19, 2026