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# whisper_small_aug4

This model is a fine-tuned version of [duckduck2/whisper_small_aug4](https://huggingface.co/duckduck2/whisper_small_aug4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1778
- Cer: 0.8540

## 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: 50
- training_steps: 750
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0356        | 0.87  | 750  | 0.1778          | 0.8540 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "duckduck2/whisper_small_aug4", "model-index": [{"name": "whisper_small_aug4", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:duckduck2/whisper_small_aug4 license:apache-2.0 endpoints_compatible region:us