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# open-ai-small-4

This model is a fine-tuned version of [jadasdn/open-ai-small-3](https://huggingface.co/jadasdn/open-ai-small-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4644
- Wer: 26.0796

## 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1913        | 2.0   | 1000 | 0.3365          | 17.8086 |
| 0.0189        | 4.0   | 2000 | 0.4064          | 17.3732 |
| 0.003         | 6.0   | 3000 | 0.4513          | 23.2204 |
| 0.0016        | 8.0   | 4000 | 0.4644          | 26.0796 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "jadasdn/open-ai-small-3", "model-index": [{"name": "open-ai-small-4", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:jadasdn/open-ai-small-3 license:apache-2.0 endpoints_compatible region:us