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# whisper-small-yue-full

This model is a fine-tuned version of [wcyat/whisper-small-yue](https://huggingface.co/wcyat/whisper-small-yue) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2532
- eval_cer: 11.9313
- eval_runtime: 1178.2632
- eval_samples_per_second: 2.191
- eval_steps_per_second: 0.137
- step: 0

## 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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "base_model": "wcyat/whisper-small-yue", "model-index": [{"name": "whisper-small-yue-full", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:wcyat/whisper-small-yue endpoints_compatible region:us