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# hubert-jdrt-rinna-jp-training_RTsplit_28epo

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: 0.0282
- Wer: 0.1913
- Cer: 0.0596

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 28

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 7.52          | 1.0   | 120  | 6.6828          | 1.0    | 0.9490 |
| 4.4343        | 2.0   | 240  | 4.0907          | 1.0    | 0.9490 |
| 2.9265        | 3.0   | 360  | 2.8590          | 1.0    | 0.9490 |
| 1.5553        | 4.0   | 480  | 1.5702          | 1.0    | 0.6761 |
| 0.9772        | 5.0   | 600  | 0.8950          | 0.8117 | 0.4832 |
| 0.9654        | 6.0   | 720  | 0.7966          | 0.8192 | 0.5440 |
| 0.6874        | 7.0   | 840  | 0.6914          | 0.8095 | 0.4533 |
| 0.6278        | 8.0   | 960  | 0.5927          | 0.7926 | 0.4221 |
| 0.5921        | 9.0   | 1080 | 0.5047          | 0.7246 | 0.3131 |
| 0.4975        | 10.0  | 1200 | 0.4682          | 0.7050 | 0.3374 |
| 0.4759        | 11.0  | 1320 | 0.4256          | 0.6553 | 0.2614 |
| 0.413         | 12.0  | 1440 | 0.3752          | 0.5888 | 0.2030 |
| 0.4062        | 13.0  | 1560 | 0.3424          | 0.5758 | 0.2317 |
| 0.3622        | 14.0  | 1680 | 0.2959          | 0.5085 | 0.1847 |
| 0.2867        | 15.0  | 1800 | 0.2507          | 0.4545 | 0.1537 |
| 0.2764        | 16.0  | 1920 | 0.2007          | 0.3914 | 0.1300 |
| 0.2403        | 17.0  | 2040 | 0.1637          | 0.3544 | 0.1148 |
| 0.2545        | 18.0  | 2160 | 0.1265          | 0.3109 | 0.0990 |
| 0.1849        | 19.0  | 2280 | 0.1098          | 0.2877 | 0.0918 |
| 0.1434        | 20.0  | 2400 | 0.0924          | 0.2642 | 0.0824 |
| 0.1207        | 21.0  | 2520 | 0.0757          | 0.2514 | 0.0777 |
| 0.1198        | 22.0  | 2640 | 0.0639          | 0.2350 | 0.0771 |
| 0.1125        | 23.0  | 2760 | 0.0517          | 0.2216 | 0.0700 |
| 0.079         | 24.0  | 2880 | 0.0413          | 0.2068 | 0.0645 |
| 0.0723        | 25.0  | 3000 | 0.0367          | 0.1982 | 0.0611 |
| 0.0683        | 26.0  | 3120 | 0.0319          | 0.1963 | 0.0611 |
| 0.0721        | 27.0  | 3240 | 0.0288          | 0.1920 | 0.0599 |
| 0.0639        | 28.0  | 3360 | 0.0282          | 0.1913 | 0.0596 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "rinna/japanese-hubert-base", "model-index": [{"name": "hubert-jdrt-rinna-jp-training_RTsplit_28epo", "results": []}]}
transformers safetensors hubert automatic-speech-recognition generated_from_trainer base_model:rinna/japanese-hubert-base license:apache-2.0 endpoints_compatible region:us