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# Whisper tiny ZH

This model is a fine-tuned version of [ZhihCheng/whisper-tiny-zh_ver2](https://huggingface.co/ZhihCheng/whisper-tiny-zh_ver2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0921
- Wer: 63.6364

## 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: 4
- 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: 25
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0673        | 5.56  | 50   | 0.1242          | 81.8182 |
| 0.0003        | 11.11 | 100  | 0.0956          | 63.6364 |
| 0.0002        | 16.67 | 150  | 0.0927          | 63.6364 |
| 0.0001        | 22.22 | 200  | 0.0921          | 63.6364 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.2.0a0+6a974be
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "ZhihCheng/whisper-tiny-zh_ver2", "model-index": [{"name": "Whisper tiny ZH", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer zh base_model:ZhihCheng/whisper-tiny-zh_ver2 license:apache-2.0 endpoints_compatible region:us