
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec-jdrt-RTSplit_and_SpeakerSplitModel-0110-2

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: 0.0057
- Wer: 0.1977
- Cer: 0.1363

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 12.3714       | 1.0   | 64   | 9.9981          | 0.9983 | 0.9454 |
| 4.0016        | 2.0   | 128  | 3.4695          | 0.9258 | 0.9774 |
| 2.3069        | 3.0   | 192  | 1.9968          | 1.0    | 0.8673 |
| 1.486         | 4.0   | 256  | 1.2399          | 1.0    | 0.7688 |
| 0.9655        | 5.0   | 320  | 0.7662          | 0.7855 | 0.5921 |
| 0.7047        | 6.0   | 384  | 0.4692          | 0.6116 | 0.3933 |
| 0.5257        | 7.0   | 448  | 0.3368          | 0.4759 | 0.2977 |
| 0.3902        | 8.0   | 512  | 0.2610          | 0.4454 | 0.2462 |
| 0.3368        | 9.0   | 576  | 0.1768          | 0.4132 | 0.2236 |
| 0.304         | 10.0  | 640  | 0.1313          | 0.3527 | 0.1997 |
| 0.3089        | 11.0  | 704  | 0.1002          | 0.3223 | 0.1852 |
| 0.219         | 12.0  | 768  | 0.0762          | 0.3170 | 0.1871 |
| 0.1787        | 13.0  | 832  | 0.0585          | 0.2621 | 0.1633 |
| 0.2275        | 14.0  | 896  | 0.0435          | 0.2586 | 0.1599 |
| 0.1298        | 15.0  | 960  | 0.0356          | 0.2432 | 0.1579 |
| 0.1645        | 16.0  | 1024 | 0.0306          | 0.2201 | 0.1550 |
| 0.1166        | 17.0  | 1088 | 0.0239          | 0.2180 | 0.1445 |
| 0.1128        | 18.0  | 1152 | 0.0213          | 0.2215 | 0.1393 |
| 0.119         | 19.0  | 1216 | 0.0194          | 0.2071 | 0.1241 |
| 0.082         | 20.0  | 1280 | 0.0181          | 0.2166 | 0.1232 |
| 0.0861        | 21.0  | 1344 | 0.0130          | 0.2043 | 0.1293 |
| 0.0835        | 22.0  | 1408 | 0.0105          | 0.2208 | 0.1444 |
| 0.0723        | 23.0  | 1472 | 0.0095          | 0.2232 | 0.1517 |
| 0.0966        | 24.0  | 1536 | 0.0108          | 0.2362 | 0.1637 |
| 0.0936        | 25.0  | 1600 | 0.0094          | 0.2159 | 0.1450 |
| 0.0753        | 26.0  | 1664 | 0.0095          | 0.2054 | 0.1314 |
| 0.057         | 27.0  | 1728 | 0.0082          | 0.1987 | 0.1447 |
| 0.0797        | 28.0  | 1792 | 0.0085          | 0.1942 | 0.1150 |
| 0.0823        | 29.0  | 1856 | 0.0069          | 0.1970 | 0.1213 |
| 0.0582        | 30.0  | 1920 | 0.0058          | 0.1921 | 0.1309 |
| 0.051         | 31.0  | 1984 | 0.0052          | 0.1907 | 0.1321 |
| 0.0498        | 32.0  | 2048 | 0.0058          | 0.1945 | 0.1342 |
| 0.0533        | 33.0  | 2112 | 0.0058          | 0.1984 | 0.1377 |
| 0.0574        | 34.0  | 2176 | 0.0057          | 0.1973 | 0.1371 |
| 0.075         | 35.0  | 2240 | 0.0057          | 0.1977 | 0.1363 |


### 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-0110-2", "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