
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-kor_noising_6

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor_noising_6 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2294
- Wer: 0
- Cer: 6.9785

## 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: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
| 0.1548        | 0.08  | 200  | 0.1871          | 0   | 6.7119 |
| 0.1861        | 0.16  | 400  | 0.2027          | 0   | 8.5976 |
| 0.2078        | 0.24  | 600  | 0.2138          | 0   | 6.9863 |
| 0.2083        | 0.31  | 800  | 0.2229          | 0   | 9.1818 |
| 0.194         | 0.39  | 1000 | 0.2235          | 0   | 7.3078 |
| 0.1953        | 0.47  | 1200 | 0.2284          | 0   | 7.4411 |
| 0.2188        | 0.55  | 1400 | 0.2253          | 0   | 8.4369 |
| 0.172         | 0.63  | 1600 | 0.2283          | 0   | 7.2804 |
| 0.1764        | 0.71  | 1800 | 0.2243          | 0   | 7.2804 |
| 0.1821        | 0.79  | 2000 | 0.2221          | 0   | 7.1784 |
| 0.1671        | 0.87  | 2200 | 0.2249          | 0   | 7.0138 |
| 0.1786        | 0.94  | 2400 | 0.2242          | 0   | 7.2019 |
| 0.0852        | 1.02  | 2600 | 0.2250          | 0   | 7.3039 |
| 0.0919        | 1.1   | 2800 | 0.2242          | 0   | 6.9981 |
| 0.0887        | 1.18  | 3000 | 0.2236          | 0   | 7.4293 |
| 0.0937        | 1.26  | 3200 | 0.2249          | 0   | 7.0843 |
| 0.0943        | 1.34  | 3400 | 0.2242          | 0   | 7.0647 |
| 0.0912        | 1.42  | 3600 | 0.2237          | 0   | 7.2176 |
| 0.086         | 1.5   | 3800 | 0.2259          | 0   | 7.6058 |
| 0.0879        | 1.57  | 4000 | 0.2242          | 0   | 7.2725 |
| 0.0881        | 1.65  | 4200 | 0.2216          | 0   | 6.8961 |
| 0.088         | 1.73  | 4400 | 0.2197          | 0   | 7.1431 |
| 0.0746        | 1.81  | 4600 | 0.2200          | 0   | 7.2215 |
| 0.0776        | 1.89  | 4800 | 0.2194          | 0   | 7.0334 |
| 0.0821        | 1.97  | 5000 | 0.2209          | 0   | 7.3392 |
| 0.0372        | 2.05  | 5200 | 0.2306          | 0   | 7.0843 |
| 0.033         | 2.13  | 5400 | 0.2257          | 0   | 7.1431 |
| 0.0425        | 2.2   | 5600 | 0.2252          | 0   | 6.9589 |
| 0.0367        | 2.28  | 5800 | 0.2263          | 0   | 8.1546 |
| 0.0352        | 2.36  | 6000 | 0.2265          | 0   | 7.4215 |
| 0.0339        | 2.44  | 6200 | 0.2268          | 0   | 7.0804 |
| 0.0409        | 2.52  | 6400 | 0.2265          | 0   | 7.0255 |
| 0.0364        | 2.6   | 6600 | 0.2260          | 0   | 6.9079 |
| 0.039         | 2.68  | 6800 | 0.2261          | 0   | 6.8177 |
| 0.0375        | 2.75  | 7000 | 0.2266          | 0   | 6.9902 |
| 0.0381        | 2.83  | 7200 | 0.2256          | 0   | 6.8648 |
| 0.0291        | 2.91  | 7400 | 0.2252          | 0   | 7.1000 |
| 0.0342        | 2.99  | 7600 | 0.2236          | 0   | 6.9393 |
| 0.019         | 3.07  | 7800 | 0.2282          | 0   | 6.9942 |
| 0.0188        | 3.15  | 8000 | 0.2294          | 0   | 6.9785 |


### 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_6", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "whisper-kor_noising_6", "type": "arrow", "config": "default", "split": "train", "args": "config: ko, split: valid"}, "metrics": [{"type": "wer", "value": 0, "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