Whisper large Chinese language vo1
This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1847
- Cer: 5.4054
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4346 | 0.16 | 2 | 0.2856 | 8.1081 |
| 0.5535 | 0.32 | 4 | 0.1927 | 5.4054 |
| 0.3467 | 0.48 | 6 | 0.1847 | 5.4054 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
openai/whisper-large-v2