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whisper-small-ph
rbcurzon/whisper-small-ph
whisper-small-ph is a automatic speech recognition model from rbcurzon. 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
- Jul 23, 2025
- Updated
- Aug 6, 2025
- SHA
- d7709475
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-medium-test
This model is a fine-tuned version of openai/whisper-small on the rbcurzon/ph_dialect_asr all dataset. It achieves the following results on the evaluation set:
- Loss: 0.4044
- Wer: 0.1675
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2023 | 2.9607 | 1000 | 0.3294 | 0.1874 |
| 0.0309 | 5.9192 | 2000 | 0.3414 | 0.1717 |
| 0.0037 | 8.8777 | 3000 | 0.3782 | 0.1708 |
| 0.0018 | 11.8362 | 4000 | 0.3964 | 0.1680 |
| 0.0013 | 14.7947 | 5000 | 0.4044 | 0.1675 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 23, 2025
- Updated
- Aug 6, 2025