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whisper_large_v3
PThi35/whisper_large_v3
whisper_large_v3 is a automatic speech recognition model from PThi35. 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
- Mar 16, 2026
- Updated
- Mar 22, 2026
- SHA
- f33a06dd
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_large_v3
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5667
- Cer: 23.6266
- Wer: 37.1181
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 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: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 2.4223 | 1.0 | 1056 | 43.3279 | 0.7348 | 66.1582 |
| 0.8323 | 2.0 | 2112 | 43.1177 | 0.6394 | 63.7241 |
| 0.5984 | 3.0 | 3168 | 35.8693 | 0.5945 | 54.4320 |
| 0.4851 | 4.0 | 4224 | 37.6694 | 0.5898 | 55.6333 |
| 0.4166 | 5.0 | 5280 | 32.2482 | 0.5693 | 48.2993 |
| 0.4257 | 6.0 | 6336 | 0.5744 | 33.5367 | 50.8352 |
| 0.3691 | 7.0 | 7392 | 0.5659 | 28.8876 | 43.8848 |
| 0.3243 | 8.0 | 8448 | 0.5641 | 23.7833 | 37.6421 |
| 0.2896 | 9.0 | 9504 | 0.5677 | 23.8392 | 37.5977 |
| 0.2669 | 10.0 | 10560 | 0.5667 | 23.6266 | 37.1181 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 16, 2026
- Updated
- Mar 22, 2026