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# whisper-small-yue-cantomap-1

This model is a fine-tuned version of [wcyat/whisper-small-yue-cantomap](https://huggingface.co/wcyat/whisper-small-yue-cantomap) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2901
- Cer: 13.7283

## 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
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0527        | 1.56  | 1000 | 0.2901          | 13.9044 |
| 0.0092        | 3.11  | 2000 | 0.2901          | 13.7283 |


### 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-cantomap", "model-index": [{"name": "whisper-small-yue-cantomap-1", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:wcyat/whisper-small-yue-cantomap endpoints_compatible region:us