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# Whisper Small Vietnamese

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vietnamese ASR Custom Corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2044
- Wer: 11.5097

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8
- training_steps: 148

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.5043        | 0.01  | 2    | 4.4639          | 33.6957  |
| 4.0539        | 0.03  | 4    | 3.7975          | 35.9783  |
| 3.3205        | 0.04  | 6    | 3.0084          | 37.2101  |
| 2.7077        | 0.05  | 8    | 2.5555          | 37.9710  |
| 2.2203        | 0.07  | 10   | 2.2051          | 63.5870  |
| 2.1151        | 0.08  | 12   | 1.9006          | 132.9227 |
| 2.0148        | 0.09  | 14   | 1.6122          | 134.7222 |
| 1.2862        | 0.11  | 16   | 1.3244          | 144.0821 |
| 1.207         | 0.12  | 18   | 1.0984          | 110.8575 |
| 1.146         | 0.14  | 20   | 1.0196          | 105.2053 |
| 1.0035        | 0.15  | 22   | 0.9752          | 99.8792  |
| 0.8611        | 0.16  | 24   | 0.9322          | 80.3986  |
| 0.8995        | 0.18  | 26   | 0.8938          | 69.0700  |
| 0.9165        | 0.19  | 28   | 0.8634          | 55.9058  |
| 0.9399        | 0.2   | 30   | 0.8389          | 44.5894  |
| 0.7586        | 0.22  | 32   | 0.8171          | 38.1884  |
| 0.7416        | 0.23  | 34   | 0.7963          | 34.4444  |
| 0.8141        | 0.24  | 36   | 0.7765          | 31.9082  |
| 0.8389        | 0.26  | 38   | 0.7578          | 34.1546  |
| 0.753         | 0.27  | 40   | 0.7393          | 42.6449  |
| 0.756         | 0.28  | 42   | 0.7228          | 54.4203  |
| 0.7347        | 0.3   | 44   | 0.7077          | 66.2681  |
| 0.6526        | 0.31  | 46   | 0.6939          | 49.2874  |
| 0.5208        | 0.32  | 48   | 0.6803          | 31.5821  |
| 0.7804        | 0.34  | 50   | 0.6657          | 35.3261  |
| 0.6831        | 0.35  | 52   | 0.6524          | 39.2995  |
| 0.5237        | 0.36  | 54   | 0.6409          | 42.6087  |
| 0.6799        | 0.38  | 56   | 0.6305          | 40.0966  |
| 0.681         | 0.39  | 58   | 0.6195          | 44.2754  |
| 0.5804        | 0.41  | 60   | 0.6062          | 42.2101  |
| 0.5869        | 0.42  | 62   | 0.5930          | 44.9517  |
| 0.7131        | 0.43  | 64   | 0.5805          | 41.4734  |
| 0.7012        | 0.45  | 66   | 0.5689          | 42.1498  |
| 0.6513        | 0.46  | 68   | 0.5576          | 41.9203  |
| 0.4762        | 0.47  | 70   | 0.5460          | 43.0193  |
| 0.503         | 0.49  | 72   | 0.5333          | 46.2198  |
| 0.5342        | 0.5   | 74   | 0.5200          | 48.1522  |
| 0.4769        | 0.51  | 76   | 0.5055          | 45.3382  |
| 0.3922        | 0.53  | 78   | 0.4910          | 46.6667  |
| 0.4501        | 0.54  | 80   | 0.4752          | 49.5169  |
| 0.4469        | 0.55  | 82   | 0.4574          | 50.8092  |
| 0.5398        | 0.57  | 84   | 0.4356          | 50.5797  |
| 0.3611        | 0.58  | 86   | 0.4053          | 48.2246  |
| 0.4015        | 0.59  | 88   | 0.3565          | 44.9275  |
| 0.3192        | 0.61  | 90   | 0.2724          | 46.4493  |
| 0.2466        | 0.62  | 92   | 0.2516          | 47.1256  |
| 0.2147        | 0.64  | 94   | 0.2574          | 35.0483  |
| 0.1898        | 0.65  | 96   | 0.2431          | 23.8527  |
| 0.2059        | 0.66  | 98   | 0.2314          | 17.1981  |
| 0.2634        | 0.68  | 100  | 0.2258          | 15.1208  |
| 0.1498        | 0.69  | 102  | 0.2223          | 14.3599  |
| 0.2672        | 0.7   | 104  | 0.2202          | 13.9130  |
| 0.0989        | 0.72  | 106  | 0.2192          | 13.5024  |
| 0.2685        | 0.73  | 108  | 0.2181          | 13.1280  |
| 0.1886        | 0.74  | 110  | 0.2168          | 12.8744  |
| 0.3012        | 0.76  | 112  | 0.2155          | 12.7174  |
| 0.2134        | 0.77  | 114  | 0.2143          | 12.3792  |
| 0.3099        | 0.78  | 116  | 0.2133          | 12.3188  |
| 0.336         | 0.8   | 118  | 0.2124          | 12.2826  |
| 0.1386        | 0.81  | 120  | 0.2112          | 12.0652  |
| 0.1756        | 0.82  | 122  | 0.2100          | 11.9807  |
| 0.2789        | 0.84  | 124  | 0.2092          | 11.8237  |
| 0.1284        | 0.85  | 126  | 0.2085          | 11.7512  |
| 0.2586        | 0.86  | 128  | 0.2078          | 11.6304  |
| 0.31          | 0.88  | 130  | 0.2072          | 11.5942  |
| 0.1971        | 0.89  | 132  | 0.2067          | 11.5700  |
| 0.2664        | 0.91  | 134  | 0.2062          | 11.5459  |
| 0.2684        | 0.92  | 136  | 0.2058          | 11.5459  |
| 0.4082        | 0.93  | 138  | 0.2053          | 11.4976  |
| 0.2593        | 0.95  | 140  | 0.2050          | 11.4855  |
| 0.143         | 0.96  | 142  | 0.2048          | 11.4976  |
| 0.2015        | 0.97  | 144  | 0.2046          | 11.5097  |
| 0.1958        | 0.99  | 146  | 0.2045          | 11.5217  |
| 0.3197        | 1.0   | 148  | 0.2044          | 11.5097  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["vi"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Vietnamese", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer vi base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us