Whisper Small Jyutping without Tones Full Version
This model is a fine-tuned version of openai/whisper-small on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0473
- Wer: 4.5089
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0895 | 0.18 | 800 | 0.0864 | 8.1065 |
| 0.0622 | 0.35 | 1600 | 0.0576 | 5.4563 |
| 0.0555 | 0.53 | 2400 | 0.0473 | 4.5089 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
openai/whisper-small