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# Whisper small zh - foriegn

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 9 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9294

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3178        | 1.54  | 3000 | 0.9294          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_9_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper small zh - foriegn", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer zh dataset:mozilla-foundation/common_voice_9_0 base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us