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# wav2vec-jdrt-RTSplit_and_SpeakerSplitModel-0107-2

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: 0.0059
- Wer: 0.1772
- Cer: 0.1540

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 13.8046       | 1.0   | 60   | 12.7010         | 0.9996 | 1.2704 |
| 5.3582        | 2.0   | 120  | 3.9475          | 0.9996 | 0.9522 |
| 2.7615        | 3.0   | 180  | 2.4894          | 1.0    | 0.9453 |
| 1.7852        | 4.0   | 240  | 1.5294          | 1.0    | 0.8011 |
| 1.1969        | 5.0   | 300  | 0.9934          | 0.9423 | 0.5931 |
| 0.925         | 6.0   | 360  | 0.7625          | 0.8157 | 0.5386 |
| 0.7563        | 7.0   | 420  | 0.6531          | 0.7951 | 0.5252 |
| 0.6655        | 8.0   | 480  | 0.5728          | 0.7632 | 0.4890 |
| 0.5863        | 9.0   | 540  | 0.4448          | 0.6280 | 0.4019 |
| 0.5147        | 10.0  | 600  | 0.3497          | 0.5302 | 0.3221 |
| 0.3942        | 11.0  | 660  | 0.2630          | 0.4260 | 0.2593 |
| 0.3575        | 12.0  | 720  | 0.1918          | 0.3477 | 0.1995 |
| 0.334         | 13.0  | 780  | 0.1205          | 0.2743 | 0.1843 |
| 0.2039        | 14.0  | 840  | 0.0792          | 0.2447 | 0.1853 |
| 0.1586        | 15.0  | 900  | 0.0524          | 0.2248 | 0.1768 |
| 0.1594        | 16.0  | 960  | 0.0351          | 0.2053 | 0.1558 |
| 0.1644        | 17.0  | 1020 | 0.0224          | 0.1915 | 0.1569 |
| 0.108         | 18.0  | 1080 | 0.0177          | 0.1900 | 0.1550 |
| 0.072         | 19.0  | 1140 | 0.0119          | 0.1828 | 0.1797 |
| 0.0968        | 20.0  | 1200 | 0.0117          | 0.1832 | 0.1629 |
| 0.0709        | 21.0  | 1260 | 0.0092          | 0.1810 | 0.1531 |
| 0.0771        | 22.0  | 1320 | 0.0073          | 0.1802 | 0.1637 |
| 0.0706        | 23.0  | 1380 | 0.0063          | 0.1795 | 0.1575 |
| 0.0427        | 24.0  | 1440 | 0.0066          | 0.1783 | 0.1551 |
| 0.0637        | 25.0  | 1500 | 0.0059          | 0.1772 | 0.1540 |


### 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-0107-2", "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