---
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-rinnna-jp-jdrtsp-fw07sp-clean
  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. -->

# hubert-rinnna-jp-jdrtsp-fw07sp-clean

This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2393
- Wer: 0.2187
- Cer: 0.1210

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 8.6058        | 1.0   | 164  | 6.2883          | 0.9743 | 0.9861 |
| 4.6616        | 2.0   | 328  | 4.0451          | 0.9743 | 0.9861 |
| 3.8526        | 3.0   | 492  | 3.5417          | 0.9743 | 0.9861 |
| 3.2384        | 4.0   | 656  | 3.0505          | 0.9743 | 0.9861 |
| 2.7948        | 5.0   | 820  | 2.6706          | 0.9743 | 0.9861 |
| 2.549         | 6.0   | 984  | 2.4268          | 0.9743 | 0.9861 |
| 2.1808        | 7.0   | 1148 | 1.8554          | 0.9743 | 0.9861 |
| 1.6069        | 8.0   | 1312 | 1.2551          | 0.6822 | 0.6231 |
| 1.1916        | 9.0   | 1476 | 0.7985          | 0.3679 | 0.2242 |
| 0.9977        | 10.0  | 1640 | 0.6234          | 0.3118 | 0.1827 |
| 0.836         | 11.0  | 1804 | 0.5103          | 0.2801 | 0.1643 |
| 0.7515        | 12.0  | 1968 | 0.4305          | 0.2663 | 0.1549 |
| 0.7045        | 13.0  | 2132 | 0.3688          | 0.2489 | 0.1413 |
| 0.6533        | 14.0  | 2296 | 0.3258          | 0.2399 | 0.1340 |
| 0.5906        | 15.0  | 2460 | 0.2941          | 0.2318 | 0.1288 |
| 0.5746        | 16.0  | 2624 | 0.2748          | 0.2300 | 0.1278 |
| 0.5169        | 17.0  | 2788 | 0.2573          | 0.2240 | 0.1242 |
| 0.5511        | 18.0  | 2952 | 0.2479          | 0.2211 | 0.1228 |
| 0.5318        | 19.0  | 3116 | 0.2410          | 0.2186 | 0.1210 |
| 0.5174        | 20.0  | 3280 | 0.2393          | 0.2187 | 0.1210 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3