---
language:
- ja
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Specific-Person-Voice
metrics:
- wer
model-index:
- name: Whisper Small Ja - Tohio Uchiyama
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Specific-Person-Voice
      type: Specific-Person-Voice
      config: null
      split: None
    metrics:
    - name: Wer
      type: wer
      value: 23.239436619718308
---

<!-- 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 Small Ja - Tohio Uchiyama

This model is a fine-tuned version of [openai/whisper-small-ja](https://huggingface.co/openai/whisper-small-ja) on the Specific-Person-Voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7645
- Wer: 23.2394

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.43  | 10   | 1.2124          | 21.1268  |
| No log        | 2.86  | 20   | 0.8283          | 884.5070 |
| 1.2688        | 4.29  | 30   | 0.7769          | 23.2394  |
| 1.2688        | 5.71  | 40   | 0.7645          | 23.2394  |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cpu
- Datasets 2.8.0
- Tokenizers 0.13.2