
<!-- 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_RTSplit0205_1

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: 0.0021
- Wer: 0.2429
- Cer: 0.1552

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 5.5802        | 1.0   | 120  | 4.6102          | 1.0    | 0.8967 |
| 1.142         | 2.0   | 240  | 0.8878          | 0.8503 | 0.5556 |
| 0.7368        | 3.0   | 360  | 0.6244          | 0.8053 | 0.4744 |
| 0.6192        | 4.0   | 480  | 0.5567          | 0.7695 | 0.4698 |
| 0.5793        | 5.0   | 600  | 0.4800          | 0.7618 | 0.4434 |
| 0.4582        | 6.0   | 720  | 0.3524          | 0.6814 | 0.3176 |
| 0.3912        | 7.0   | 840  | 0.2552          | 0.5324 | 0.2386 |
| 0.2915        | 8.0   | 960  | 0.1399          | 0.3313 | 0.1723 |
| 0.2377        | 9.0   | 1080 | 0.0843          | 0.3101 | 0.1762 |
| 0.1303        | 10.0  | 1200 | 0.0449          | 0.3295 | 0.2329 |
| 0.1114        | 11.0  | 1320 | 0.0266          | 0.3149 | 0.2194 |
| 0.0911        | 12.0  | 1440 | 0.0190          | 0.3313 | 0.1986 |
| 0.0715        | 13.0  | 1560 | 0.0152          | 0.3416 | 0.1920 |
| 0.0598        | 14.0  | 1680 | 0.0090          | 0.2882 | 0.1640 |
| 0.0911        | 15.0  | 1800 | 0.0092          | 0.3183 | 0.1864 |
| 0.0706        | 16.0  | 1920 | 0.0065          | 0.2682 | 0.1572 |
| 0.0367        | 17.0  | 2040 | 0.0058          | 0.2550 | 0.1532 |
| 0.0498        | 18.0  | 2160 | 0.0060          | 0.2821 | 0.1606 |
| 0.0522        | 19.0  | 2280 | 0.0071          | 0.2610 | 0.1576 |
| 0.0504        | 20.0  | 2400 | 0.0053          | 0.2514 | 0.1490 |
| 0.0609        | 21.0  | 2520 | 0.0056          | 0.2623 | 0.1565 |
| 0.048         | 22.0  | 2640 | 0.0049          | 0.2477 | 0.1498 |
| 0.0317        | 23.0  | 2760 | 0.0043          | 0.2634 | 0.1680 |
| 0.0276        | 24.0  | 2880 | 0.0036          | 0.2576 | 0.1672 |
| 0.0206        | 25.0  | 3000 | 0.0031          | 0.2634 | 0.1639 |
| 0.0341        | 26.0  | 3120 | 0.0032          | 0.2634 | 0.1686 |
| 0.0269        | 27.0  | 3240 | 0.0030          | 0.2737 | 0.1706 |
| 0.0228        | 28.0  | 3360 | 0.0028          | 0.2305 | 0.1487 |
| 0.0222        | 29.0  | 3480 | 0.0026          | 0.2408 | 0.1534 |
| 0.0237        | 30.0  | 3600 | 0.0026          | 0.2679 | 0.1666 |
| 0.0279        | 31.0  | 3720 | 0.0024          | 0.2486 | 0.1555 |
| 0.0594        | 32.0  | 3840 | 0.0022          | 0.2492 | 0.1582 |
| 0.0353        | 33.0  | 3960 | 0.0022          | 0.2419 | 0.1544 |
| 0.0284        | 34.0  | 4080 | 0.0021          | 0.2445 | 0.1550 |
| 0.0279        | 35.0  | 4200 | 0.0021          | 0.2429 | 0.1552 |


### 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_RTSplit0205_1", "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