Downloads · 30 days
8
4% of all-time downloads
whisper-small-indonesian
gausshen/whisper-small-indonesian
whisper-small-indonesian is a automatic speech recognition model from gausshen. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
libraryname: transformers license: apache-2.0 basemodel: openai/whisper-small language: - id pipelinetag: automatic-speech-recognition tags: - generatedfromtrainer - audio - automatic-speech-recognition - whisper mode…
All-time downloads
184
Public
Parameters
242M
3.9 GB on disk
Likes
0
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
- Aug 7, 2026
- Updated
- Aug 10, 2026
- SHA
- 0af4a530
Base models
Model card
From the Hugging Face model README
library_name: transformers license: apache-2.0 base_model: openai/whisper-small language:
- id pipeline_tag: automatic-speech-recognition tags:
- generated_from_trainer
- audio
- automatic-speech-recognition
- whisper model-index:
- name: whisper-small-indonesian results: []
<!-- 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-indonesian
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7176
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_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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7372 | 1.5674 | 500 | 0.7358 |
| 0.7178 | 3.1348 | 1000 | 0.7237 |
| 0.7093 | 4.7022 | 1500 | 0.7211 |
| 0.6925 | 6.2696 | 2000 | 0.7176 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- id
- Created
- Aug 7, 2026
- Updated
- Aug 10, 2026