Downloads · 30 days
7
8% of all-time downloads
whisper-id-jv-multilingual-fp16-small
muhammadfhadli/whisper-id-jv-multilingual-fp16-small
whisper-id-jv-multilingual-fp16-small is a automatic speech recognition model from muhammadfhadli. 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
93
Public
Parameters
242M
7.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025
- SHA
- bcf521ce
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. -->
whisper-id-jv-multilingual-fp16-small
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1187
- Wer: 20.9952
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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4013 | 0.2568 | 500 | 0.4013 | 75.5297 |
| 0.2703 | 0.5136 | 1000 | 0.2723 | 32.3274 |
| 0.1955 | 0.7704 | 1500 | 0.2118 | 31.1396 |
| 0.0966 | 1.0272 | 2000 | 0.1749 | 28.5714 |
| 0.0828 | 1.2840 | 2500 | 0.1566 | 23.2905 |
| 0.0788 | 1.5408 | 3000 | 0.1370 | 23.1541 |
| 0.0695 | 1.7976 | 3500 | 0.1250 | 24.0289 |
| 0.0361 | 2.0544 | 4000 | 0.1187 | 20.9952 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025