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# whisper-tiny-sinhala-20k-8k-steps-v2

This model is a fine-tuned version of None on the sinhala_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1889
- Wer: 51.6357

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.213         | 0.53  | 1000 | 0.2200          | 57.9731 |
| 0.1611        | 1.07  | 2000 | 0.2017          | 54.4777 |
| 0.1601        | 1.6   | 3000 | 0.1942          | 53.3355 |
| 0.1384        | 2.13  | 4000 | 0.1913          | 52.2206 |
| 0.1101        | 2.67  | 5000 | 0.1889          | 51.6357 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["sinhala_asr"], "metrics": ["wer"], "base_model": "Ransaka/whisper-tiny-sinhala-20k-8k-steps", "model-index": [{"name": "whisper-tiny-sinhala-20k-8k-steps-v2", "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": 51.635748880562915, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer dataset:sinhala_asr base_model:Ransaka/whisper-tiny-sinhala-20k-8k-steps model-index endpoints_compatible region:us