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# whisper-tiny-sinhala-20k

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the sinhala_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2433
- Wer: 92.9960

## 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: 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4207        | 0.4   | 1000 | 0.3978          | 221.9058 |
| 0.2966        | 0.8   | 2000 | 0.3009          | 136.3423 |
| 0.226         | 1.2   | 3000 | 0.2661          | 97.6638  |
| 0.2224        | 1.6   | 4000 | 0.2510          | 92.3279  |
| 0.2034        | 2.0   | 5000 | 0.2433          | 92.9960  |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Ransaka/SinhalaASR"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-sinhala-20k", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "sinhala_asr", "type": "sinhala_asr", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "wer", "value": 92.99603723159156, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer dataset:Ransaka/SinhalaASR base_model:openai/whisper-tiny license:apache-2.0 model-index endpoints_compatible region:us