whisper-zh-CN
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3733
- Wer: 100.0597
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0002 | 76.92 | 1000 | 1.1367 | 99.5818 |
| 0.0001 | 153.85 | 2000 | 1.2746 | 100.0597 |
| 0.0001 | 230.77 | 3000 | 1.3383 | 100.0597 |
| 0.0 | 307.69 | 4000 | 1.3733 | 100.0597 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
openai/whisper-medium