whisper-large-v3-turbo-cantonese-10
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the mozilla-foundation/common_voice_16_0 dataset.
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 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: 10
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0114 | 10 | 0.7841 | 90.9188 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for wingskh/whisper-large-v3-turbo-cantonese
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo