transformers pytorch hubert automatic-speech-recognition generated_from_trainer base_model:rinna/japanese-hubert-base license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: rinna/japanese-hubert-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: jdrt_byclass_rinnna_hubert_asr_2
  results: []
---

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# jdrt_byclass_rinnna_hubert_asr_2

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: 0.4574
- Wer: 0.4461
- Cer: 0.3253

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 260
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 11.8822       | 1.0   | 53   | 8.0828          | 0.9838 | 0.9911 |
| 6.3754        | 2.0   | 106  | 4.6774          | 0.9838 | 0.9911 |
| 4.5264        | 3.0   | 159  | 3.9963          | 0.9838 | 0.9911 |
| 3.7867        | 4.0   | 212  | 3.3575          | 0.9838 | 0.9911 |
| 3.2022        | 5.0   | 265  | 2.9007          | 0.9838 | 0.9911 |
| 2.8134        | 6.0   | 318  | 2.7079          | 0.9838 | 0.9911 |
| 2.708         | 7.0   | 371  | 2.6779          | 0.9838 | 0.9911 |
| 2.6923        | 8.0   | 424  | 2.6719          | 0.9838 | 0.9911 |
| 2.6555        | 9.0   | 477  | 2.4997          | 0.9838 | 0.9911 |
| 2.3308        | 10.0  | 530  | 2.1709          | 0.9960 | 0.9522 |
| 2.1951        | 11.0  | 583  | 2.0579          | 0.9960 | 0.9522 |
| 2.0032        | 12.0  | 636  | 1.8255          | 0.9989 | 0.9302 |
| 1.8394        | 13.0  | 689  | 1.6870          | 0.9999 | 0.9021 |
| 1.6562        | 14.0  | 742  | 1.4793          | 0.9999 | 0.8139 |
| 1.5057        | 15.0  | 795  | 1.2942          | 0.9997 | 0.7813 |
| 1.4022        | 16.0  | 848  | 1.2146          | 0.9997 | 0.7594 |
| 1.2945        | 17.0  | 901  | 1.1512          | 0.9941 | 0.7395 |
| 1.2062        | 18.0  | 954  | 1.0732          | 0.9844 | 0.6726 |
| 1.1396        | 19.0  | 1007 | 1.0457          | 0.9694 | 0.6559 |
| 1.0419        | 20.0  | 1060 | 0.8567          | 0.5929 | 0.4214 |
| 0.8799        | 21.0  | 1113 | 0.7172          | 0.5273 | 0.3951 |
| 0.8249        | 22.0  | 1166 | 0.6980          | 0.5204 | 0.4048 |
| 0.7649        | 23.0  | 1219 | 0.6157          | 0.4923 | 0.3737 |
| 0.7401        | 24.0  | 1272 | 0.6171          | 0.4992 | 0.3722 |
| 0.7074        | 25.0  | 1325 | 0.5948          | 0.4835 | 0.3669 |
| 0.6543        | 26.0  | 1378 | 0.5520          | 0.4759 | 0.3537 |
| 0.6164        | 27.0  | 1431 | 0.5512          | 0.4745 | 0.3467 |
| 0.5758        | 28.0  | 1484 | 0.5286          | 0.4677 | 0.3416 |
| 0.5648        | 29.0  | 1537 | 0.5099          | 0.4644 | 0.3447 |
| 0.578         | 30.0  | 1590 | 0.5262          | 0.4701 | 0.3530 |
| 0.5343        | 31.0  | 1643 | 0.5025          | 0.4621 | 0.3463 |
| 0.5236        | 32.0  | 1696 | 0.4927          | 0.4588 | 0.3411 |
| 0.5256        | 33.0  | 1749 | 0.4971          | 0.4614 | 0.3434 |
| 0.5309        | 34.0  | 1802 | 0.4882          | 0.4553 | 0.3400 |
| 0.4938        | 35.0  | 1855 | 0.4663          | 0.4497 | 0.3309 |
| 0.4874        | 36.0  | 1908 | 0.4734          | 0.4508 | 0.3316 |
| 0.4519        | 37.0  | 1961 | 0.4642          | 0.4483 | 0.3289 |
| 0.5137        | 38.0  | 2014 | 0.4655          | 0.4490 | 0.3303 |
| 0.4832        | 39.0  | 2067 | 0.4613          | 0.4474 | 0.3282 |
| 0.4581        | 40.0  | 2120 | 0.4565          | 0.4450 | 0.3236 |
| 0.4542        | 41.0  | 2173 | 0.4550          | 0.4461 | 0.3262 |
| 0.4478        | 42.0  | 2226 | 0.4548          | 0.4442 | 0.3247 |
| 0.448         | 43.0  | 2279 | 0.4523          | 0.4450 | 0.3238 |
| 0.4468        | 44.0  | 2332 | 0.4560          | 0.4455 | 0.3224 |
| 0.4681        | 45.0  | 2385 | 0.4599          | 0.4468 | 0.3253 |
| 0.455         | 46.0  | 2438 | 0.4589          | 0.4472 | 0.3246 |
| 0.4479        | 47.0  | 2491 | 0.4583          | 0.4465 | 0.3245 |
| 0.4533        | 48.0  | 2544 | 0.4582          | 0.4469 | 0.3253 |
| 0.4486        | 49.0  | 2597 | 0.4575          | 0.4462 | 0.3253 |
| 0.4466        | 50.0  | 2650 | 0.4574          | 0.4461 | 0.3253 |


### Framework versions

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