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# whisper-youtube-experiment-1

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2279
- Wer: 91.8107

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4753        | 5.0   | 100  | 1.4295          | 138.1256 |
| 0.0752        | 10.0  | 200  | 1.7407          | 148.0437 |
| 0.0751        | 15.0  | 300  | 1.9055          | 103.9126 |
| 0.0601        | 20.0  | 400  | 2.1544          | 83.0755  |
| 0.0679        | 25.0  | 500  | 2.3737          | 88.8080  |
| 0.0733        | 30.0  | 600  | 2.6122          | 90.0819  |
| 0.0343        | 35.0  | 700  | 2.7598          | 95.0864  |
| 0.0191        | 40.0  | 800  | 2.8436          | 93.1756  |
| 0.0185        | 45.0  | 900  | 2.9210          | 93.4486  |
| 0.0244        | 50.0  | 1000 | 2.9482          | 96.1783  |
| 0.0113        | 55.0  | 1100 | 3.0678          | 97.2702  |
| 0.0185        | 60.0  | 1200 | 3.0634          | 94.8135  |
| 0.0094        | 65.0  | 1300 | 3.1335          | 95.6324  |
| 0.0044        | 70.0  | 1400 | 3.2209          | 92.0837  |
| 0.0001        | 75.0  | 1500 | 3.3569          | 93.3576  |
| 0.0           | 80.0  | 1600 | 3.4486          | 90.2639  |
| 0.0           | 85.0  | 1700 | 3.3304          | 92.3567  |
| 0.0           | 90.0  | 1800 | 3.2285          | 91.5378  |
| 0.0           | 95.0  | 1900 | 3.2273          | 91.8107  |
| 0.0           | 100.0 | 2000 | 3.2279          | 91.8107  |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.14.0a0+44dac51
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-youtube-experiment-1", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us