Downloads · 30 days
100
38% of all-time downloads
whisper-small-nepali
aamoshdahal/whisper-small-nepali
whisper-small-nepali is a automatic speech recognition model from aamoshdahal. 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
261
Public
Parameters
242M
4.8 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025
- SHA
- 10006acc
Base models
Datasets
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. -->
Whisper Small Nepali
This model is a fine-tuned version of openai/whisper-small on the Nepali Speech-to-Text Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4741
- Wer: 41.8257
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: 16
- eval_batch_size: 8
- seed: 42
- 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
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0121 | 9.6154 | 1000 | 0.3463 | 44.6216 |
| 0.0014 | 19.2308 | 2000 | 0.4206 | 42.2300 |
| 0.0001 | 28.8462 | 3000 | 0.4535 | 41.8706 |
| 0.0 | 38.4615 | 4000 | 0.4684 | 41.8482 |
| 0.0 | 48.0769 | 5000 | 0.4741 | 41.8257 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- np
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025