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# Whisper Small Runyankore

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Yogera data dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6289
- Wer: 96.9176

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.9225        | 0.5   | 100  | 2.3983          | 126.6153 |
| 1.8681        | 1.25  | 200  | 1.6289          | 96.9176  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["nyn"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["tericlabs"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Runyankore", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Yogera data", "type": "tericlabs", "config": "nyn", "split": "test", "args": "nyn"}, "metrics": [{"type": "wer", "value": 96.9176052163604, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer nyn dataset:tericlabs base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us