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wav2vec2bert-bengali-clean-audio-1e5
TurjoDutta5555/wav2vec2bert-bengali-clean-audio-1e5
wav2vec2bert-bengali-clean-audio-1e5 is a automatic speech recognition model from TurjoDutta5555. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- May 23, 2026
- Updated
- May 23, 2026
- SHA
- 6ce4e21c
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. -->
wav2vec2bert-bengali-clean-audio-1e5
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9749
- Wer: 0.4271
- Cer: 0.1097
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 11.3054 | 1.2675 | 100 | 5.1693 | 1.0430 | 0.6356 |
| 3.2001 | 2.5350 | 200 | 1.6331 | 0.6407 | 0.1828 |
| 2.4474 | 3.8025 | 300 | 1.2845 | 0.5187 | 0.1418 |
| 1.8174 | 5.0637 | 400 | 1.1087 | 0.4875 | 0.1327 |
| 1.4476 | 6.3312 | 500 | 1.0288 | 0.4508 | 0.1175 |
| 1.3777 | 7.5987 | 600 | 0.9930 | 0.4278 | 0.1123 |
| 1.1010 | 8.8662 | 700 | 0.9749 | 0.4271 | 0.1097 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Created
- May 23, 2026
- Updated
- May 23, 2026