---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Japanese_english
metrics:
- wer
model-index:
- name: Whisper tiny Japanese
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Japanese English
      type: Japanese_english
      args: 'config: default, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 22.274436090225564
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper tiny Japanese

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Japanese English dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4847
- Wer: 22.2744

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1914        | 1.2438 | 1000 | 0.4866          | 22.9167 |
| 0.1464        | 2.4876 | 2000 | 0.4643          | 22.9010 |
| 0.0722        | 3.7313 | 3000 | 0.4761          | 21.9455 |
| 0.0503        | 4.9751 | 4000 | 0.4847          | 22.2744 |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0