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# rao-vandromme-purcell-distil-finetuned

This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0590
- Wer: 2.9688

## 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: 5
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6205        | 0.29  | 10   | 0.2496          | 3.4375 |
| 0.073         | 0.59  | 20   | 0.0745          | 2.5    |
| 0.2899        | 0.88  | 30   | 0.0647          | 3.125  |
| 0.034         | 1.18  | 40   | 0.0674          | 3.2812 |
| 0.0507        | 1.47  | 50   | 0.0590          | 2.9688 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "distil-whisper/distil-large-v2", "model-index": [{"name": "rao-vandromme-purcell-distil-finetuned", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:distil-whisper/distil-large-v2 license:mit endpoints_compatible region:us