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# Whisper small - tuned

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CLARtts dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1638
- Wer: 24.3604

## 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: 500
- training_steps: 3125
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1186        | 1.6   | 1000 | 0.1555          | 26.6667 |
| 0.0374        | 3.2   | 2000 | 0.1500          | 24.3964 |
| 0.0222        | 4.8   | 3000 | 0.1638          | 24.3604 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2

{"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["whitefox123/tashkeel"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper small - tuned", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "CLARtts", "type": "whitefox123/tashkeel", "config": "default", "split": "None", "args": "config: ar, split: test"}, "metrics": [{"type": "wer", "value": 24.36036036036036, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ar dataset:whitefox123/tashkeel base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us