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# whisper-tiny-ja-test

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6032
- Wer: 85.7143

## 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: 8
- 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: 10
- training_steps: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 3.7501        | 3.33  | 10   | 1.6891          | 42.8571 |
| 0.6513        | 6.67  | 20   | 0.4518          | 85.7143 |
| 0.0104        | 10.0  | 30   | 0.5347          | 85.7143 |
| 0.0006        | 13.33 | 40   | 0.6032          | 85.7143 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-ja-test", "results": []}]}
transformers pytorch whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-tiny license:apache-2.0 endpoints_compatible region:us