---
library_name: transformers
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- automatic-speech-recognition
- original_kakeiken_W_closed_add
- generated_from_trainer
metrics:
- wer
model-index:
- name: Hubert-kakeiken-W-closed_add
  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-kakeiken-W-closed_add

This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the ORIGINAL_KAKEIKEN_W_CLOSED_ADD - JA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0298
- Wer: 0.9988
- Cer: 1.0164

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 12500
- num_epochs: 40.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
| 11.3302       | 1.0     | 1060  | 10.0279         | 1.0    | 1.1284 |
| 7.0068        | 2.0     | 2120  | 5.3823          | 1.0    | 1.1283 |
| 3.682         | 3.0     | 3180  | 3.1894          | 1.0    | 1.1283 |
| 2.725         | 4.0     | 4240  | 2.1613          | 1.0    | 1.1284 |
| 1.4317        | 5.0     | 5300  | 0.7817          | 1.0    | 1.1232 |
| 0.5734        | 6.0     | 6360  | 0.2729          | 0.9991 | 1.0338 |
| 0.3485        | 7.0     | 7420  | 0.1662          | 0.9988 | 1.0259 |
| 0.2631        | 8.0     | 8480  | 0.0833          | 0.9988 | 1.0224 |
| 0.2068        | 9.0     | 9540  | 0.0616          | 0.9990 | 1.0210 |
| 0.1846        | 10.0    | 10600 | 0.0786          | 0.9988 | 1.0199 |
| 0.1792        | 11.0    | 11660 | 0.0472          | 0.9990 | 1.0198 |
| 0.1669        | 12.0    | 12720 | 0.0515          | 0.9988 | 1.0207 |
| 0.1609        | 13.0    | 13780 | 0.0529          | 0.9988 | 1.0219 |
| 0.1508        | 14.0    | 14840 | 0.0432          | 0.9988 | 1.0183 |
| 0.1427        | 15.0    | 15900 | 0.0860          | 0.9988 | 1.0148 |
| 0.1316        | 16.0    | 16960 | 0.0350          | 0.9988 | 1.0185 |
| 0.1296        | 17.0    | 18020 | 0.0449          | 0.9988 | 1.0191 |
| 0.1236        | 18.0    | 19080 | 0.0450          | 0.9988 | 1.0170 |
| 0.1149        | 19.0    | 20140 | 0.0358          | 0.9990 | 1.0181 |
| 0.1149        | 20.0    | 21200 | 0.0317          | 0.9990 | 1.0176 |
| 0.106         | 21.0    | 22260 | 0.0369          | 0.9988 | 1.0170 |
| 0.102         | 22.0    | 23320 | 0.0342          | 0.9988 | 1.0180 |
| 0.1011        | 23.0    | 24380 | 0.0411          | 0.9988 | 1.0179 |
| 0.0948        | 24.0    | 25440 | 0.0314          | 0.9988 | 1.0163 |
| 0.0934        | 25.0    | 26500 | 0.0302          | 0.9988 | 1.0175 |
| 0.0843        | 26.0    | 27560 | 0.0440          | 0.9988 | 1.0172 |
| 0.0833        | 27.0    | 28620 | 0.0341          | 0.9988 | 1.0167 |
| 0.0781        | 28.0    | 29680 | 0.0565          | 0.9988 | 1.0157 |
| 0.0741        | 29.0    | 30740 | 0.0357          | 0.9988 | 1.0161 |
| 0.0704        | 30.0    | 31800 | 0.0306          | 0.9988 | 1.0162 |
| 0.0678        | 31.0    | 32860 | 0.0289          | 0.9988 | 1.0159 |
| 0.067         | 32.0    | 33920 | 0.0279          | 0.9988 | 1.0159 |
| 0.0641        | 33.0    | 34980 | 0.0325          | 0.9988 | 1.0160 |
| 0.0595        | 34.0    | 36040 | 0.0330          | 0.9988 | 1.0166 |
| 0.055         | 35.0    | 37100 | 0.0309          | 0.9988 | 1.0164 |
| 0.055         | 36.0    | 38160 | 0.0303          | 0.9988 | 1.0167 |
| 0.0555        | 37.0    | 39220 | 0.0311          | 0.9988 | 1.0166 |
| 0.0533        | 38.0    | 40280 | 0.0311          | 0.9988 | 1.0166 |
| 0.0528        | 39.0    | 41340 | 0.0310          | 0.9988 | 1.0166 |
| 0.0509        | 39.9627 | 42360 | 0.0310          | 0.9988 | 1.0166 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0