Downloads · 30 days
18
20% of all-time downloads
finetuning-whisper-tiny-swahili-asr-model_ndizi
smutuvi/finetuning-whisper-tiny-swahili-asr-model_ndizi
finetuning-whisper-tiny-swahili-asr-model_ndizi is a automatic speech recognition model from smutuvi. 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
90
Public
Parameters
37.8M
835 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.zip231 MB · 60%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Dec 9, 2025
- SHA
- 2f8a4fb6
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. -->
finetuning-whisper-tiny-swahili-asr-model
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9872
- Wer: 65.2972
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use 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: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0941 | 3.6232 | 1000 | 0.9996 | 66.5619 |
| 0.8663 | 7.2464 | 2000 | 0.9685 | 64.9370 |
| 0.7385 | 10.8696 | 3000 | 0.9771 | 66.7650 |
| 0.6787 | 14.4928 | 4000 | 0.9872 | 65.2972 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 17, 2025
- Updated
- Dec 9, 2025