---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: mms-1b-all-lg-CV-v1
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: lg
      split: None
      args: lg
    metrics:
    - name: Wer
      type: wer
      value: 0.24204557387377929
---

<!-- 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. -->

# mms-1b-all-lg-CV-v1

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.2420
- Cer: 0.0619

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 0.2848        | 1.0   | 4442   | inf             | 0.2783 | 0.0702 |
| 0.1923        | 2.0   | 8884   | inf             | 0.2848 | 0.0713 |
| 0.1895        | 3.0   | 13326  | inf             | 0.2710 | 0.0686 |
| 0.1873        | 4.0   | 17768  | inf             | 0.2712 | 0.0675 |
| 0.1852        | 5.0   | 22210  | inf             | 0.2710 | 0.0675 |
| 0.1828        | 6.0   | 26652  | inf             | 0.2696 | 0.0695 |
| 0.1812        | 7.0   | 31094  | inf             | 0.2756 | 0.0672 |
| 0.1804        | 8.0   | 35536  | inf             | 0.2717 | 0.0675 |
| 0.1788        | 9.0   | 39978  | inf             | 0.2592 | 0.0668 |
| 0.1778        | 10.0  | 44420  | inf             | 0.2590 | 0.0666 |
| 0.1767        | 11.0  | 48862  | inf             | 0.2619 | 0.0661 |
| 0.1755        | 12.0  | 53304  | inf             | 0.2580 | 0.0657 |
| 0.1746        | 13.0  | 57746  | inf             | 0.2545 | 0.0642 |
| 0.1738        | 14.0  | 62188  | inf             | 0.2579 | 0.0655 |
| 0.1736        | 15.0  | 66630  | inf             | 0.2565 | 0.0652 |
| 0.1727        | 16.0  | 71072  | inf             | 0.2572 | 0.0650 |
| 0.172         | 17.0  | 75514  | inf             | 0.2553 | 0.0644 |
| 0.1717        | 18.0  | 79956  | inf             | 0.2520 | 0.0636 |
| 0.1706        | 19.0  | 84398  | inf             | 0.2565 | 0.0645 |
| 0.1697        | 20.0  | 88840  | inf             | 0.2516 | 0.0637 |
| 0.1696        | 21.0  | 93282  | inf             | 0.2511 | 0.0632 |
| 0.1686        | 22.0  | 97724  | inf             | 0.2687 | 0.0657 |
| 0.1688        | 23.0  | 102166 | inf             | 0.2523 | 0.0639 |
| 0.1673        | 24.0  | 106608 | inf             | 0.2529 | 0.0644 |
| 0.1671        | 25.0  | 111050 | inf             | 0.2514 | 0.0637 |
| 0.1664        | 26.0  | 115492 | inf             | 0.2508 | 0.0636 |
| 0.1666        | 27.0  | 119934 | inf             | 0.2550 | 0.0637 |
| 0.1655        | 28.0  | 124376 | inf             | 0.2515 | 0.0636 |
| 0.1649        | 29.0  | 128818 | inf             | 0.2458 | 0.0628 |
| 0.1647        | 30.0  | 133260 | inf             | 0.2517 | 0.0637 |
| 0.1641        | 31.0  | 137702 | inf             | 0.2477 | 0.0628 |
| 0.1637        | 32.0  | 142144 | inf             | 0.2461 | 0.0629 |
| 0.1629        | 33.0  | 146586 | inf             | 0.2480 | 0.0635 |
| 0.1628        | 34.0  | 151028 | inf             | 0.2498 | 0.0633 |
| 0.1625        | 35.0  | 155470 | inf             | 0.2555 | 0.0638 |
| 0.1619        | 36.0  | 159912 | inf             | 0.2498 | 0.0639 |
| 0.1625        | 37.0  | 164354 | inf             | 0.2469 | 0.0628 |
| 0.1613        | 38.0  | 168796 | inf             | 0.2443 | 0.0630 |
| 0.1618        | 39.0  | 173238 | inf             | 0.2462 | 0.0635 |
| 0.1611        | 40.0  | 177680 | inf             | 0.2419 | 0.0622 |
| 0.1604        | 41.0  | 182122 | inf             | 0.2433 | 0.0627 |
| 0.1592        | 42.0  | 186564 | inf             | 0.2443 | 0.0628 |
| 0.1598        | 43.0  | 191006 | inf             | 0.2437 | 0.0629 |
| 0.1589        | 44.0  | 195448 | inf             | 0.2444 | 0.0627 |
| 0.1589        | 45.0  | 199890 | inf             | 0.2455 | 0.0628 |
| 0.158         | 46.0  | 204332 | inf             | 0.2384 | 0.0619 |
| 0.1574        | 47.0  | 208774 | inf             | 0.2455 | 0.0628 |
| 0.157         | 48.0  | 213216 | inf             | 0.2444 | 0.0620 |
| 0.157         | 49.0  | 217658 | inf             | 0.2428 | 0.0627 |
| 0.1557        | 50.0  | 222100 | inf             | 0.2423 | 0.0622 |
| 0.1557        | 51.0  | 226542 | inf             | 0.2420 | 0.0623 |
| 0.1558        | 52.0  | 230984 | inf             | 0.2483 | 0.0626 |
| 0.1553        | 53.0  | 235426 | inf             | 0.2406 | 0.0621 |
| 0.155         | 54.0  | 239868 | inf             | 0.2445 | 0.0608 |
| 0.1545        | 55.0  | 244310 | inf             | 0.2443 | 0.0617 |
| 0.1546        | 56.0  | 248752 | inf             | 0.2419 | 0.0614 |
| 0.1537        | 57.0  | 253194 | inf             | 0.2380 | 0.0612 |
| 0.1532        | 58.0  | 257636 | inf             | 0.2420 | 0.0619 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0