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# whisper-hakka-small-1

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6134
- Cer: 839.6261

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1701        | 0.78  | 1000  | 0.3828          | 52.2939  |
| 0.0764        | 1.55  | 2000  | 0.3519          | 36.2758  |
| 0.0277        | 2.33  | 3000  | 0.3274          | 40.2633  |
| 0.013         | 3.1   | 4000  | 0.4307          | 112.1952 |
| 0.0092        | 3.88  | 5000  | 0.4454          | 37.3418  |
| 0.007         | 4.66  | 6000  | 0.4402          | 70.9902  |
| 0.0036        | 5.43  | 7000  | 0.4313          | 77.5403  |
| 0.0035        | 6.21  | 8000  | 0.5371          | 104.9887 |
| 0.0038        | 6.98  | 9000  | 0.5463          | 185.2789 |
| 0.0018        | 7.76  | 10000 | 0.5453          | 184.7941 |
| 0.0011        | 8.54  | 11000 | 0.5113          | 213.0442 |
| 0.0012        | 9.31  | 12000 | 0.6346          | 402.5504 |
| 0.0005        | 10.09 | 13000 | 0.5790          | 399.8495 |
| 0.0002        | 10.87 | 14000 | 0.5790          | 491.2496 |
| 0.0003        | 11.64 | 15000 | 0.6038          | 652.7718 |
| 0.0001        | 12.42 | 16000 | 0.6070          | 814.4883 |
| 0.0001        | 13.19 | 17000 | 0.6078          | 801.3233 |
| 0.0001        | 13.97 | 18000 | 0.6068          | 772.7599 |
| 0.0001        | 14.75 | 19000 | 0.6160          | 802.9302 |
| 0.0001        | 15.52 | 20000 | 0.6134          | 839.6261 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-hakka-small-1", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us