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# hubert-rinna-jdrt-RTsplitModel-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: 0.0224
- Wer: 0.2388
- Cer: 0.1482

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 6.9424        | 1.0   | 120  | 6.0087          | 0.9442 | 0.9830 |
| 4.0216        | 2.0   | 240  | 3.7661          | 0.9442 | 0.9830 |
| 2.8371        | 3.0   | 360  | 2.5351          | 0.9442 | 0.9830 |
| 1.3093        | 4.0   | 480  | 1.2894          | 1.0    | 0.5863 |
| 0.8454        | 5.0   | 600  | 0.7990          | 0.8144 | 0.4844 |
| 0.8758        | 6.0   | 720  | 0.6930          | 0.7946 | 0.4786 |
| 0.6662        | 7.0   | 840  | 0.6419          | 0.8034 | 0.4241 |
| 0.6665        | 8.0   | 960  | 0.6487          | 0.7655 | 0.4408 |
| 0.631         | 9.0   | 1080 | 0.5641          | 0.7760 | 0.4764 |
| 0.51          | 10.0  | 1200 | 0.4710          | 0.7657 | 0.4821 |
| 0.4343        | 11.0  | 1320 | 0.3647          | 0.6174 | 0.3033 |
| 0.3797        | 12.0  | 1440 | 0.3064          | 0.5280 | 0.2207 |
| 0.3629        | 13.0  | 1560 | 0.2889          | 0.5263 | 0.2494 |
| 0.3074        | 14.0  | 1680 | 0.2276          | 0.6021 | 0.3002 |
| 0.2558        | 15.0  | 1800 | 0.1847          | 0.4834 | 0.2493 |
| 0.2189        | 16.0  | 1920 | 0.1360          | 0.3473 | 0.1582 |
| 0.1845        | 17.0  | 2040 | 0.1163          | 0.4029 | 0.2333 |
| 0.2423        | 18.0  | 2160 | 0.0919          | 0.2870 | 0.1578 |
| 0.1277        | 19.0  | 2280 | 0.0741          | 0.3336 | 0.2050 |
| 0.1086        | 20.0  | 2400 | 0.0635          | 0.3010 | 0.1912 |
| 0.093         | 21.0  | 2520 | 0.0508          | 0.2864 | 0.1932 |
| 0.1256        | 22.0  | 2640 | 0.0432          | 0.2782 | 0.1930 |
| 0.1065        | 23.0  | 2760 | 0.0384          | 0.3364 | 0.2091 |
| 0.0631        | 24.0  | 2880 | 0.0328          | 0.2388 | 0.1434 |
| 0.0578        | 25.0  | 3000 | 0.0281          | 0.2748 | 0.1679 |
| 0.0561        | 26.0  | 3120 | 0.0251          | 0.2550 | 0.1590 |
| 0.0553        | 27.0  | 3240 | 0.0237          | 0.2470 | 0.1542 |
| 0.0561        | 28.0  | 3360 | 0.0224          | 0.2388 | 0.1482 |


### 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-rinna-jdrt-RTsplitModel-2", "results": []}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:rinna/japanese-hubert-base license:apache-2.0 endpoints_compatible region:us