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# Whisper base ZH

This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3478
- Wer: 55.4260

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0554        | 1.32  | 1000 | 0.3238          | 55.9486 |
| 0.0329        | 2.65  | 2000 | 0.3292          | 56.0490 |
| 0.0102        | 3.97  | 3000 | 0.3403          | 55.8682 |
| 0.0061        | 5.3   | 4000 | 0.3478          | 55.4260 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0

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