Whisper Large V2 - Cantonese - Augmented
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2004
- Cer: 100.0
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: 32
- 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: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1124 | 1.2 | 200 | 0.1755 | 100.0 |
| 0.0397 | 2.41 | 400 | 0.1766 | 100.0 |
| 0.0176 | 3.61 | 600 | 0.1859 | 100.0 |
| 0.0063 | 4.82 | 800 | 0.1951 | 100.0 |
| 0.0017 | 6.02 | 1000 | 0.2004 | 100.0 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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Base model
openai/whisper-large-v2