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augmented_normal_v2_extra_dataset_bangla-whisper-epoch-6
ishmamzarif/augmented_normal_v2_extra_dataset_bangla-whisper-epoch-6
augmented_normal_v2_extra_dataset_bangla-whisper-epoch-6 is a automatic speech recognition model from ishmamzarif. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
Bangla dialect ASR (Automatic Speech Recognition) Model
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025
- SHA
- f250f2e1
Base models
Model card
From the Hugging Face model README
Model Details
Bangla dialect ASR (Automatic Speech Recognition) Model
Training Procedure
Bangla ASR Model trained for the contest https://www.kaggle.com/competitions/shobdotori The original dataset was augmented and then trained with an extra dataset
Model Sources:
Training Hyperparameters
- Batch Size: 4
- Learning rate: 2e-5
- Warmup Steps: 200
- Epochs: 8
- Gradient Accumulation Steps: 4
- LR Scheduler: cosine_with_restarts
Evaluation
| Epoch | Training Loss | Validation Loss | WER | Normalized Levenshtein Similarity |
|---|---|---|---|---|
| 0 | 1.480600 | 1.456514 | 6.940371 | 94.997286 |
| 2 | 1.445800 | 1.432858 | 4.838710 | 96.562330 |
| 4 | 1.428500 | 1.428582 | 2.932551 | 97.937398 |
| 6 | 1.422000 | 1.425159 | 2.981427 | 97.792654 |
Language and Environment
- Python version: 3.12.12
- PyTorch version: 2.8.0+cu126
- Transformers version: 4.44.2
- NumPy version: 1.26.4
CUDA Info
- GPU: Tesla T4
- GPU Memory: 15.83 GB
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025