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# wav2vec2-large-xlsr-mecita-coraa-portuguese-2-all-08

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: 0.1425
- Wer: 0.0847
- Cer: 0.0250

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 28.7797       | 1.0   | 86   | 3.2260          | 1.0    | 1.0    |
| 7.461         | 2.0   | 172  | 2.9545          | 1.0    | 1.0    |
| 3.0284        | 3.0   | 258  | 2.9417          | 1.0    | 1.0    |
| 2.9371        | 4.0   | 344  | 2.8986          | 1.0    | 1.0    |
| 2.8968        | 5.0   | 430  | 2.7867          | 1.0    | 1.0    |
| 2.6778        | 6.0   | 516  | 1.3633          | 0.9995 | 0.3324 |
| 1.416         | 7.0   | 602  | 0.5723          | 0.2534 | 0.0655 |
| 1.416         | 8.0   | 688  | 0.3916          | 0.2032 | 0.0553 |
| 0.7667        | 9.0   | 774  | 0.3064          | 0.1620 | 0.0441 |
| 0.5737        | 10.0  | 860  | 0.2686          | 0.1396 | 0.0400 |
| 0.4933        | 11.0  | 946  | 0.2435          | 0.1287 | 0.0361 |
| 0.4293        | 12.0  | 1032 | 0.2376          | 0.1101 | 0.0340 |
| 0.3958        | 13.0  | 1118 | 0.2180          | 0.1077 | 0.0321 |
| 0.3419        | 14.0  | 1204 | 0.2057          | 0.1010 | 0.0313 |
| 0.3419        | 15.0  | 1290 | 0.1974          | 0.1005 | 0.0303 |
| 0.3185        | 16.0  | 1376 | 0.1874          | 0.0982 | 0.0300 |
| 0.3151        | 17.0  | 1462 | 0.1825          | 0.1015 | 0.0302 |
| 0.3077        | 18.0  | 1548 | 0.1741          | 0.0980 | 0.0294 |
| 0.2939        | 19.0  | 1634 | 0.1865          | 0.0970 | 0.0298 |
| 0.2786        | 20.0  | 1720 | 0.1714          | 0.0922 | 0.0283 |
| 0.2593        | 21.0  | 1806 | 0.1684          | 0.0922 | 0.0281 |
| 0.2593        | 22.0  | 1892 | 0.1645          | 0.0910 | 0.0279 |
| 0.2341        | 23.0  | 1978 | 0.1607          | 0.0849 | 0.0267 |
| 0.2447        | 24.0  | 2064 | 0.1667          | 0.0863 | 0.0264 |
| 0.2215        | 25.0  | 2150 | 0.1677          | 0.0880 | 0.0278 |
| 0.2111        | 26.0  | 2236 | 0.1618          | 0.0875 | 0.0271 |
| 0.2237        | 27.0  | 2322 | 0.1530          | 0.0868 | 0.0261 |
| 0.2153        | 28.0  | 2408 | 0.1581          | 0.0887 | 0.0268 |
| 0.2153        | 29.0  | 2494 | 0.1590          | 0.0870 | 0.0259 |
| 0.1946        | 30.0  | 2580 | 0.1580          | 0.0870 | 0.0266 |
| 0.2022        | 31.0  | 2666 | 0.1607          | 0.0863 | 0.0258 |
| 0.2044        | 32.0  | 2752 | 0.1493          | 0.0845 | 0.0252 |
| 0.1931        | 33.0  | 2838 | 0.1535          | 0.0861 | 0.0258 |
| 0.1939        | 34.0  | 2924 | 0.1572          | 0.0868 | 0.0259 |
| 0.1913        | 35.0  | 3010 | 0.1553          | 0.0838 | 0.0254 |
| 0.1913        | 36.0  | 3096 | 0.1478          | 0.0847 | 0.0256 |
| 0.1853        | 37.0  | 3182 | 0.1518          | 0.0824 | 0.0256 |
| 0.1619        | 38.0  | 3268 | 0.1452          | 0.0831 | 0.0248 |
| 0.1803        | 39.0  | 3354 | 0.1459          | 0.0789 | 0.0242 |
| 0.1619        | 40.0  | 3440 | 0.1457          | 0.0824 | 0.0246 |
| 0.1878        | 41.0  | 3526 | 0.1477          | 0.0789 | 0.0244 |
| 0.1684        | 42.0  | 3612 | 0.1425          | 0.0847 | 0.0250 |
| 0.1684        | 43.0  | 3698 | 0.1464          | 0.0798 | 0.0240 |
| 0.1685        | 44.0  | 3784 | 0.1472          | 0.0838 | 0.0252 |
| 0.1517        | 45.0  | 3870 | 0.1515          | 0.0801 | 0.0246 |
| 0.1486        | 46.0  | 3956 | 0.1499          | 0.0796 | 0.0244 |
| 0.1509        | 47.0  | 4042 | 0.1478          | 0.0812 | 0.0243 |
| 0.1849        | 48.0  | 4128 | 0.1501          | 0.0803 | 0.0241 |
| 0.1426        | 49.0  | 4214 | 0.1478          | 0.0819 | 0.0240 |
| 0.1536        | 50.0  | 4300 | 0.1523          | 0.0791 | 0.0242 |
| 0.1536        | 51.0  | 4386 | 0.1517          | 0.0784 | 0.0237 |
| 0.1445        | 52.0  | 4472 | 0.1498          | 0.0815 | 0.0243 |
| 0.1478        | 53.0  | 4558 | 0.1514          | 0.0828 | 0.0241 |
| 0.1418        | 54.0  | 4644 | 0.1495          | 0.0847 | 0.0246 |
| 0.1713        | 55.0  | 4730 | 0.1471          | 0.0831 | 0.0247 |
| 0.1504        | 56.0  | 4816 | 0.1466          | 0.0826 | 0.0238 |
| 0.1493        | 57.0  | 4902 | 0.1511          | 0.0812 | 0.0245 |
| 0.1493        | 58.0  | 4988 | 0.1525          | 0.0815 | 0.0240 |
| 0.1282        | 59.0  | 5074 | 0.1510          | 0.0826 | 0.0238 |
| 0.1423        | 60.0  | 5160 | 0.1555          | 0.0812 | 0.0240 |
| 0.1355        | 61.0  | 5246 | 0.1545          | 0.0794 | 0.0238 |
| 0.1375        | 62.0  | 5332 | 0.1535          | 0.0812 | 0.0238 |


### 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-08", "results": []}]}
transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us