---
language:
- ja
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-ja
  results: []
---

<!-- 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

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: 0.3967
- Wer: 18.3755

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.3   | 10   | 1.1627          | 26.0985  |
| No log        | 0.61  | 20   | 0.7416          | 900.3995 |
| 1.2431        | 0.91  | 30   | 0.6344          | 60.3196  |
| 1.2431        | 1.21  | 40   | 0.5944          | 20.2397  |
| 0.5462        | 1.52  | 50   | 0.5341          | 19.3076  |
| 0.5462        | 1.82  | 60   | 0.4953          | 18.5087  |
| 0.5462        | 2.12  | 70   | 0.4715          | 19.9734  |
| 0.3259        | 2.42  | 80   | 0.4469          | 18.2423  |
| 0.3259        | 2.73  | 90   | 0.4246          | 19.7071  |
| 0.1986        | 3.03  | 100  | 0.4076          | 19.0413  |
| 0.1986        | 3.33  | 110  | 0.3949          | 17.7097  |
| 0.1986        | 3.64  | 120  | 0.4008          | 20.5060  |
| 0.1101        | 3.94  | 130  | 0.3892          | 18.3755  |
| 0.1101        | 4.24  | 140  | 0.3873          | 18.3755  |
| 0.0695        | 4.55  | 150  | 0.3930          | 19.7071  |
| 0.0695        | 4.85  | 160  | 0.3857          | 18.1092  |
| 0.0695        | 5.15  | 170  | 0.3861          | 19.0413  |
| 0.0467        | 5.45  | 180  | 0.3913          | 18.5087  |
| 0.0467        | 5.76  | 190  | 0.3963          | 18.7750  |
| 0.0346        | 6.06  | 200  | 0.3967          | 18.3755  |


### Framework versions

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