---
language:
- ja
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
  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. -->

# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6643
- Wer: 1.0242
- Cer: 0.1827

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 50.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 1.9321        | 3.14  | 1000  | 1.0116          | 0.9823 | 0.2635 |
| 2.0934        | 6.29  | 2000  | 1.1241          | 1.0222 | 0.2932 |
| 2.0389        | 9.43  | 3000  | 1.2067          | 1.1325 | 0.3345 |
| 1.9569        | 12.58 | 4000  | 0.9818          | 1.0090 | 0.2657 |
| 1.8409        | 15.72 | 5000  | 1.0382          | 1.6480 | 0.3741 |
| 1.7449        | 18.87 | 6000  | 0.9962          | 1.6268 | 0.3454 |
| 1.7349        | 22.01 | 7000  | 0.9560          | 0.9850 | 0.2597 |
| 1.6857        | 25.16 | 8000  | 0.8722          | 0.9669 | 0.2325 |
| 1.5637        | 28.3  | 9000  | 0.7636          | 1.8071 | 0.3422 |
| 1.5088        | 31.45 | 10000 | 0.7290          | 1.0398 | 0.2085 |
| 1.4298        | 34.59 | 11000 | 0.7576          | 1.0166 | 0.2104 |
| 1.3716        | 37.74 | 12000 | 0.7046          | 1.1275 | 0.2138 |
| 1.3185        | 40.88 | 13000 | 0.7011          | 1.1696 | 0.2179 |
| 1.28          | 44.03 | 14000 | 0.6754          | 1.1316 | 0.2024 |
| 1.2368        | 47.17 | 15000 | 0.6925          | 1.0517 | 0.1923 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0