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# whisper-kor_noising_4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor_noising_4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4072
- Wer: 23.5379
- Cer: 10.7578

## 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.2602        | 0.05  | 100  | 0.4040          | 24.4742 | 10.9617 |
| 0.2721        | 0.09  | 200  | 0.4070          | 24.3302 | 11.0676 |
| 0.2355        | 0.14  | 300  | 0.4146          | 24.9640 | 11.3655 |
| 0.2238        | 0.18  | 400  | 0.4275          | 25.5690 | 11.5615 |
| 0.2185        | 0.23  | 500  | 0.4297          | 26.2460 | 11.9614 |
| 0.209         | 0.28  | 600  | 0.4323          | 26.5918 | 12.6671 |
| 0.2203        | 0.32  | 700  | 0.4270          | 28.4788 | 13.3963 |
| 0.2003        | 0.37  | 800  | 0.4344          | 26.4333 | 12.0790 |
| 0.2297        | 0.42  | 900  | 0.4305          | 28.6949 | 15.6584 |
| 0.1892        | 0.46  | 1000 | 0.4314          | 25.3961 | 12.1731 |
| 0.2137        | 0.51  | 1100 | 0.4292          | 25.4394 | 11.3812 |
| 0.2058        | 0.55  | 1200 | 0.4291          | 24.9784 | 11.3459 |
| 0.2139        | 0.6   | 1300 | 0.4257          | 25.2377 | 12.0477 |
| 0.2002        | 0.65  | 1400 | 0.4252          | 25.0792 | 11.4910 |
| 0.2151        | 0.69  | 1500 | 0.4218          | 25.2233 | 11.4478 |
| 0.2298        | 0.74  | 1600 | 0.4168          | 28.5941 | 14.9763 |
| 0.2138        | 0.78  | 1700 | 0.4157          | 25.5258 | 11.8752 |
| 0.2282        | 0.83  | 1800 | 0.4140          | 24.8055 | 12.0124 |
| 0.2476        | 0.88  | 1900 | 0.4121          | 28.5508 | 14.0628 |
| 0.2122        | 0.92  | 2000 | 0.4090          | 25.5114 | 13.0200 |
| 0.2742        | 0.97  | 2100 | 0.4083          | 24.2869 | 11.7497 |
| 0.1406        | 1.02  | 2200 | 0.4137          | 24.5462 | 11.0401 |
| 0.0976        | 1.06  | 2300 | 0.4184          | 24.6183 | 11.2126 |
| 0.1235        | 1.11  | 2400 | 0.4186          | 24.5462 | 11.1852 |
| 0.1237        | 1.15  | 2500 | 0.4156          | 24.4598 | 11.1342 |
| 0.108         | 1.2   | 2600 | 0.4164          | 24.2581 | 11.0911 |
| 0.1228        | 1.25  | 2700 | 0.4140          | 24.5751 | 11.2126 |
| 0.1292        | 1.29  | 2800 | 0.4144          | 24.2293 | 11.0558 |
| 0.1306        | 1.34  | 2900 | 0.4161          | 24.2149 | 11.0166 |
| 0.14          | 1.39  | 3000 | 0.4137          | 24.0709 | 11.0479 |
| 0.1298        | 1.43  | 3100 | 0.4139          | 24.5174 | 11.0519 |
| 0.1326        | 1.48  | 3200 | 0.4139          | 24.2581 | 10.9852 |
| 0.1342        | 1.52  | 3300 | 0.4132          | 25.8859 | 12.6632 |
| 0.1362        | 1.57  | 3400 | 0.4116          | 23.9268 | 10.8480 |
| 0.1607        | 1.62  | 3500 | 0.4106          | 23.5955 | 11.3577 |
| 0.1256        | 1.66  | 3600 | 0.4099          | 23.9556 | 10.8558 |
| 0.1276        | 1.71  | 3700 | 0.4084          | 23.7396 | 10.7696 |
| 0.1453        | 1.75  | 3800 | 0.4087          | 23.5811 | 10.7343 |
| 0.1614        | 1.8   | 3900 | 0.4077          | 23.6243 | 10.7892 |
| 0.1435        | 1.85  | 4000 | 0.4072          | 23.5379 | 10.7578 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["arrow"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-kor_noising_4", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "whisper-kor_noising_4", "type": "arrow", "config": "default", "split": "train", "args": "config: ko, split: valid"}, "metrics": [{"type": "wer", "value": 23.537885335638144, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:arrow base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us