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whisper-large-v2
bagasshw/whisper-large-v2
whisper-large-v2 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 8, 2025
- SHA
- 7ab4d7c2
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 Large-v2 Java - HQ TTS
This model is a fine-tuned version of openai/whisper-large-v2 on the jv_id_tts dataset. It achieves the following results on the evaluation set:
- Loss: 0.1792
- Wer: 9.2409
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2752 | 0.8587 | 1000 | 0.2629 | 18.0899 |
| 0.1117 | 1.7170 | 2000 | 0.2091 | 14.7071 |
| 0.0656 | 2.5754 | 3000 | 0.1855 | 12.2112 |
| 0.0294 | 3.4337 | 4000 | 0.1709 | 10.8911 |
| 0.0182 | 4.2920 | 5000 | 0.1662 | 10.4992 |
| 0.01 | 5.1503 | 6000 | 0.1709 | 10.0660 |
| 0.0084 | 6.0086 | 7000 | 0.1681 | 9.6328 |
| 0.0057 | 6.8673 | 8000 | 0.1689 | 9.0965 |
| 0.0019 | 7.7256 | 9000 | 0.1780 | 9.2409 |
| 0.0005 | 8.5839 | 10000 | 0.1792 | 9.2409 |
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 8, 2025