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# wav2vec-jdrt-RTSplit_and_SpeakerSplitModel-0110-1_with_nas_gra

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-japanese](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0044
- Wer: 0.1853
- Cer: 0.1434

## 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: 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: 35

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 9.9567        | 1.0   | 80   | 7.8114          | 0.9983 | 0.8936 |
| 2.7151        | 2.0   | 160  | 2.4537          | 1.0    | 0.8746 |
| 1.5441        | 3.0   | 240  | 1.2671          | 0.9955 | 0.6885 |
| 0.9393        | 4.0   | 320  | 0.7389          | 0.8178 | 0.5839 |
| 0.7148        | 5.0   | 400  | 0.5988          | 0.7514 | 0.5100 |
| 0.5872        | 6.0   | 480  | 0.4184          | 0.6133 | 0.3546 |
| 0.5155        | 7.0   | 560  | 0.3195          | 0.5014 | 0.2823 |
| 0.3958        | 8.0   | 640  | 0.2119          | 0.3811 | 0.2149 |
| 0.312         | 9.0   | 720  | 0.1387          | 0.3047 | 0.1970 |
| 0.2268        | 10.0  | 800  | 0.0821          | 0.2542 | 0.1691 |
| 0.1768        | 11.0  | 880  | 0.0523          | 0.2224 | 0.1492 |
| 0.1572        | 12.0  | 960  | 0.0434          | 0.2160 | 0.1586 |
| 0.1689        | 13.0  | 1040 | 0.0303          | 0.2118 | 0.1591 |
| 0.1173        | 14.0  | 1120 | 0.0247          | 0.2090 | 0.1574 |
| 0.1011        | 15.0  | 1200 | 0.0182          | 0.2042 | 0.1708 |
| 0.0957        | 16.0  | 1280 | 0.0222          | 0.2012 | 0.1614 |
| 0.088         | 17.0  | 1360 | 0.0152          | 0.1948 | 0.1329 |
| 0.0689        | 18.0  | 1440 | 0.0195          | 0.1989 | 0.1416 |
| 0.0622        | 19.0  | 1520 | 0.0162          | 0.1967 | 0.1661 |
| 0.1027        | 20.0  | 1600 | 0.0094          | 0.1908 | 0.1498 |
| 0.0691        | 21.0  | 1680 | 0.0130          | 0.1928 | 0.1596 |
| 0.0623        | 22.0  | 1760 | 0.0104          | 0.1911 | 0.1481 |
| 0.0839        | 23.0  | 1840 | 0.0086          | 0.1886 | 0.1696 |
| 0.0638        | 24.0  | 1920 | 0.0066          | 0.1867 | 0.1623 |
| 0.0655        | 25.0  | 2000 | 0.0078          | 0.1883 | 0.1609 |
| 0.0558        | 26.0  | 2080 | 0.0062          | 0.1872 | 0.1582 |
| 0.0603        | 27.0  | 2160 | 0.0057          | 0.1864 | 0.1545 |
| 0.0469        | 28.0  | 2240 | 0.0045          | 0.1842 | 0.1422 |
| 0.0435        | 29.0  | 2320 | 0.0046          | 0.1836 | 0.1499 |
| 0.0495        | 30.0  | 2400 | 0.0055          | 0.1867 | 0.1482 |
| 0.0461        | 31.0  | 2480 | 0.0043          | 0.1853 | 0.1440 |
| 0.0375        | 32.0  | 2560 | 0.0046          | 0.1855 | 0.1491 |
| 0.1016        | 33.0  | 2640 | 0.0046          | 0.1858 | 0.1404 |
| 0.075         | 34.0  | 2720 | 0.0044          | 0.1855 | 0.1426 |
| 0.0361        | 35.0  | 2800 | 0.0044          | 0.1853 | 0.1434 |


### 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": "jonatasgrosman/wav2vec2-large-xlsr-53-japanese", "model-index": [{"name": "wav2vec-jdrt-RTSplit_and_SpeakerSplitModel-0110-1_with_nas_gra", "results": []}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:jonatasgrosman/wav2vec2-large-xlsr-53-japanese license:apache-2.0 endpoints_compatible region:us