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# Whisper Small Vi - Nhi Le

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: 0.9983
- Wer: 245.2381

## 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: 2
- training_steps: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.099         | 1.0   | 2    | 1.9868          | 26.1905  |
| 1.779         | 2.0   | 4    | 1.5173          | 257.1429 |
| 1.1783        | 3.0   | 6    | 1.2374          | 245.2381 |
| 0.964         | 4.0   | 8    | 1.0648          | 245.2381 |
| 0.89          | 5.0   | 10   | 0.9983          | 245.2381 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.0+cpu
- 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 Vi - Nhi Le", "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