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# wav2vec2-large-xlsr-mecita-coraa-portuguese-2-all-05

This model is a fine-tuned version of [Edresson/wav2vec2-large-xlsr-coraa-portuguese](https://huggingface.co/Edresson/wav2vec2-large-xlsr-coraa-portuguese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1720
- Wer: 0.0834
- Cer: 0.0306

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 28.6104       | 1.0   | 86   | 8.8298          | 1.0    | 0.9860 |
| 13.0564       | 2.0   | 172  | 3.2780          | 1.0    | 1.0    |
| 5.8701        | 3.0   | 258  | 2.9901          | 1.0    | 1.0    |
| 2.9873        | 4.0   | 344  | 2.9260          | 1.0    | 1.0    |
| 2.917         | 5.0   | 430  | 2.8919          | 1.0    | 1.0    |
| 2.8987        | 6.0   | 516  | 2.8910          | 1.0    | 1.0    |
| 2.8562        | 7.0   | 602  | 2.6200          | 0.9995 | 0.9783 |
| 2.8562        | 8.0   | 688  | 1.0176          | 0.9842 | 0.2639 |
| 2.0957        | 9.0   | 774  | 0.4470          | 0.2097 | 0.0614 |
| 0.912         | 10.0  | 860  | 0.3430          | 0.1726 | 0.0529 |
| 0.6362        | 11.0  | 946  | 0.2901          | 0.1516 | 0.0472 |
| 0.5136        | 12.0  | 1032 | 0.2610          | 0.1331 | 0.0434 |
| 0.4453        | 13.0  | 1118 | 0.2458          | 0.1266 | 0.0413 |
| 0.3797        | 14.0  | 1204 | 0.2293          | 0.1188 | 0.0393 |
| 0.3797        | 15.0  | 1290 | 0.2183          | 0.1081 | 0.0370 |
| 0.3492        | 16.0  | 1376 | 0.2064          | 0.1009 | 0.0352 |
| 0.313         | 17.0  | 1462 | 0.2002          | 0.1048 | 0.0355 |
| 0.3066        | 18.0  | 1548 | 0.1981          | 0.0960 | 0.0335 |
| 0.2891        | 19.0  | 1634 | 0.1971          | 0.1001 | 0.0348 |
| 0.2731        | 20.0  | 1720 | 0.1954          | 0.0941 | 0.0336 |
| 0.2452        | 21.0  | 1806 | 0.1911          | 0.0982 | 0.0337 |
| 0.2452        | 22.0  | 1892 | 0.1884          | 0.0938 | 0.0332 |
| 0.2641        | 23.0  | 1978 | 0.1865          | 0.0921 | 0.0325 |
| 0.2558        | 24.0  | 2064 | 0.1820          | 0.0909 | 0.0321 |
| 0.2471        | 25.0  | 2150 | 0.1823          | 0.0919 | 0.0321 |
| 0.2213        | 26.0  | 2236 | 0.1784          | 0.0900 | 0.0318 |
| 0.2083        | 27.0  | 2322 | 0.1809          | 0.0941 | 0.0323 |
| 0.2063        | 28.0  | 2408 | 0.1789          | 0.0883 | 0.0316 |
| 0.2063        | 29.0  | 2494 | 0.1795          | 0.0912 | 0.0331 |
| 0.205         | 30.0  | 2580 | 0.1783          | 0.0883 | 0.0325 |
| 0.1887        | 31.0  | 2666 | 0.1758          | 0.0880 | 0.0321 |
| 0.1842        | 32.0  | 2752 | 0.1759          | 0.0912 | 0.0322 |
| 0.1817        | 33.0  | 2838 | 0.1751          | 0.0856 | 0.0308 |
| 0.1802        | 34.0  | 2924 | 0.1784          | 0.0854 | 0.0310 |
| 0.1721        | 35.0  | 3010 | 0.1750          | 0.0907 | 0.0315 |
| 0.1721        | 36.0  | 3096 | 0.1745          | 0.0824 | 0.0305 |
| 0.1801        | 37.0  | 3182 | 0.1748          | 0.0844 | 0.0312 |
| 0.1734        | 38.0  | 3268 | 0.1751          | 0.0849 | 0.0308 |
| 0.1784        | 39.0  | 3354 | 0.1736          | 0.0829 | 0.0309 |
| 0.1758        | 40.0  | 3440 | 0.1753          | 0.0822 | 0.0305 |
| 0.1603        | 41.0  | 3526 | 0.1757          | 0.0856 | 0.0308 |
| 0.1621        | 42.0  | 3612 | 0.1759          | 0.0871 | 0.0310 |
| 0.1621        | 43.0  | 3698 | 0.1747          | 0.0856 | 0.0311 |
| 0.1486        | 44.0  | 3784 | 0.1720          | 0.0834 | 0.0306 |
| 0.1475        | 45.0  | 3870 | 0.1742          | 0.0824 | 0.0300 |
| 0.154         | 46.0  | 3956 | 0.1749          | 0.0820 | 0.0303 |
| 0.1488        | 47.0  | 4042 | 0.1770          | 0.0851 | 0.0308 |
| 0.1461        | 48.0  | 4128 | 0.1746          | 0.0841 | 0.0306 |
| 0.1472        | 49.0  | 4214 | 0.1772          | 0.0863 | 0.0307 |
| 0.1373        | 50.0  | 4300 | 0.1777          | 0.0868 | 0.0307 |
| 0.1373        | 51.0  | 4386 | 0.1768          | 0.0849 | 0.0302 |
| 0.1321        | 52.0  | 4472 | 0.1752          | 0.0839 | 0.0304 |
| 0.1443        | 53.0  | 4558 | 0.1763          | 0.0844 | 0.0303 |
| 0.1316        | 54.0  | 4644 | 0.1780          | 0.0861 | 0.0307 |
| 0.1399        | 55.0  | 4730 | 0.1788          | 0.0834 | 0.0297 |
| 0.1285        | 56.0  | 4816 | 0.1774          | 0.0815 | 0.0298 |
| 0.1235        | 57.0  | 4902 | 0.1780          | 0.0846 | 0.0295 |
| 0.1235        | 58.0  | 4988 | 0.1764          | 0.0854 | 0.0301 |
| 0.1264        | 59.0  | 5074 | 0.1773          | 0.0846 | 0.0299 |
| 0.1313        | 60.0  | 5160 | 0.1740          | 0.0832 | 0.0297 |
| 0.1243        | 61.0  | 5246 | 0.1766          | 0.0820 | 0.0293 |
| 0.1285        | 62.0  | 5332 | 0.1753          | 0.0839 | 0.0296 |
| 0.1424        | 63.0  | 5418 | 0.1775          | 0.0844 | 0.0300 |
| 0.1268        | 64.0  | 5504 | 0.1745          | 0.0805 | 0.0288 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-large-xlsr-mecita-coraa-portuguese-2-all-05", "results": []}]}
transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us