---
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-rinnna-jp-jdrtsp-fw07sp-13
  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-13

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: 0.1606
- Wer: 0.3004
- Cer: 0.1786

## 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: 0.0005
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.352         | 1.0   | 404  | 0.9913          | 0.6021 | 0.4479 |
| 0.9044        | 2.0   | 808  | 0.5053          | 0.4261 | 0.2774 |
| 0.9001        | 3.0   | 1212 | 0.8458          | 0.4848 | 0.3267 |
| 0.8425        | 4.0   | 1616 | 0.5311          | 0.4577 | 0.3053 |
| 0.8408        | 5.0   | 2020 | 0.4328          | 0.4075 | 0.2776 |
| 0.7759        | 6.0   | 2424 | 0.4736          | 0.4394 | 0.3363 |
| 0.7228        | 7.0   | 2828 | 0.4667          | 0.4173 | 0.2862 |
| 0.6755        | 8.0   | 3232 | 0.4190          | 0.4114 | 0.2611 |
| 0.634         | 9.0   | 3636 | 0.4252          | 0.3993 | 0.2612 |
| 0.6267        | 10.0  | 4040 | 0.3275          | 0.3734 | 0.2362 |
| 0.6199        | 11.0  | 4444 | 0.2786          | 0.3543 | 0.2222 |
| 0.5396        | 12.0  | 4848 | 0.2851          | 0.3501 | 0.2146 |
| 0.5343        | 13.0  | 5252 | 0.2527          | 0.3448 | 0.2106 |
| 0.5488        | 14.0  | 5656 | 0.2725          | 0.3431 | 0.2100 |
| 0.4606        | 15.0  | 6060 | 0.2293          | 0.3259 | 0.1962 |
| 0.4229        | 16.0  | 6464 | 0.2043          | 0.3172 | 0.1914 |
| 0.4078        | 17.0  | 6868 | 0.1891          | 0.3128 | 0.1862 |
| 0.4017        | 18.0  | 7272 | 0.1785          | 0.3075 | 0.1833 |
| 0.3618        | 19.0  | 7676 | 0.1673          | 0.3035 | 0.1803 |
| 0.3739        | 20.0  | 8080 | 0.1606          | 0.3004 | 0.1786 |


### Framework versions

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