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whisper-tiny
bagasshw/whisper-tiny
whisper-tiny is a automatic speech recognition model from bagasshw. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025
- SHA
- 9ff19735
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 Tiny Java - HQ TTS
This model is a fine-tuned version of openai/whisper-tiny on the jv_id_tts dataset. It achieves the following results on the evaluation set:
- Loss: 0.3168
- Wer: 20.1526
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: 3.75e-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: 100
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3173 | 1.7123 | 500 | 0.4364 | 30.1774 |
| 0.0564 | 3.4247 | 1000 | 0.3388 | 22.7929 |
| 0.0202 | 5.1370 | 1500 | 0.3240 | 20.8746 |
| 0.0055 | 6.8493 | 2000 | 0.3174 | 20.4620 |
| 0.003 | 8.5616 | 2500 | 0.3168 | 20.1526 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 2.18.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- jw
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025