---
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-rinnna-jp-jdrtsp-fw07sp-12
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hubert-rinnna-jp-jdrtsp-fw07sp-12

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: 1.1989
- Wer: 0.6801
- Cer: 0.5794

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 5.0318        | 1.0   | 404  | 4.2999          | 0.9798 | 0.9889 |
| 3.5113        | 2.0   | 808  | 3.3289          | 0.9798 | 0.9889 |
| 2.7536        | 3.0   | 1212 | 2.7007          | 0.9798 | 0.9889 |
| 2.4826        | 4.0   | 1616 | 2.3732          | 0.9798 | 0.9889 |
| 2.0642        | 5.0   | 2020 | 1.9165          | 0.9798 | 0.9888 |
| 1.834         | 6.0   | 2424 | 1.6739          | 0.9504 | 0.9464 |
| 1.6869        | 7.0   | 2828 | 1.4651          | 0.8239 | 0.7865 |
| 1.5734        | 8.0   | 3232 | 1.3267          | 0.7440 | 0.6939 |
| 1.5052        | 9.0   | 3636 | 1.2331          | 0.7045 | 0.6231 |
| 1.4573        | 10.0  | 4040 | 1.1989          | 0.6801 | 0.5794 |


### Framework versions

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