---
library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: w2v-bert-grain-lg_cv_only_v2
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: lg
      split: test[:10%]
      args: lg
    metrics:
    - name: Wer
      type: wer
      value: 0.2319647170009451
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# w2v-bert-grain-lg_cv_only_v2

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6384
- Wer: 0.2320
- Cer: 0.0721

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- 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
- num_epochs: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 0.3102        | 1.0   | 8884   | 0.4540          | 0.3644 | 0.1028 |
| 0.2032        | 2.0   | 17768  | 0.3881          | 0.3005 | 0.0845 |
| 0.1687        | 3.0   | 26652  | 0.4061          | 0.3139 | 0.0883 |
| 0.148         | 4.0   | 35536  | 0.4048          | 0.2879 | 0.0825 |
| 0.1327        | 5.0   | 44420  | 0.4136          | 0.2860 | 0.0831 |
| 0.1191        | 6.0   | 53304  | 0.3685          | 0.2889 | 0.0843 |
| 0.1087        | 7.0   | 62188  | 0.4108          | 0.2630 | 0.0810 |
| 0.0996        | 8.0   | 71072  | 0.3682          | 0.2628 | 0.0789 |
| 0.0918        | 9.0   | 79956  | 0.4126          | 0.2672 | 0.0779 |
| 0.0854        | 10.0  | 88840  | 0.3482          | 0.2628 | 0.0783 |
| 0.0778        | 11.0  | 97724  | 0.3948          | 0.2540 | 0.0773 |
| 0.0719        | 12.0  | 106608 | 0.3530          | 0.2477 | 0.0740 |
| 0.066         | 13.0  | 115492 | 0.4267          | 0.2604 | 0.0785 |
| 0.0595        | 14.0  | 124376 | 0.3779          | 0.2467 | 0.0727 |
| 0.0541        | 15.0  | 133260 | 0.4424          | 0.2622 | 0.0813 |
| 0.0485        | 16.0  | 142144 | 0.3848          | 0.2500 | 0.0755 |
| 0.044         | 17.0  | 151028 | 0.3752          | 0.2465 | 0.0736 |
| 0.0391        | 18.0  | 159912 | 0.3722          | 0.2524 | 0.0753 |
| 0.0347        | 19.0  | 168796 | 0.4386          | 0.2481 | 0.0762 |
| 0.0309        | 20.0  | 177680 | 0.4647          | 0.2552 | 0.0788 |
| 0.0273        | 21.0  | 186564 | 0.4453          | 0.2468 | 0.0736 |
| 0.0252        | 22.0  | 195448 | 0.4612          | 0.2450 | 0.0750 |
| 0.0229        | 23.0  | 204332 | 0.4624          | 0.2510 | 0.0750 |
| 0.0209        | 24.0  | 213216 | 0.4640          | 0.2535 | 0.0739 |
| 0.0186        | 25.0  | 222100 | 0.4309          | 0.2542 | 0.0747 |
| 0.0173        | 26.0  | 230984 | 0.4339          | 0.2490 | 0.0734 |
| 0.016         | 27.0  | 239868 | 0.4463          | 0.2477 | 0.0740 |
| 0.0143        | 28.0  | 248752 | 0.5788          | 0.2432 | 0.0784 |
| 0.0135        | 29.0  | 257636 | 0.4962          | 0.2482 | 0.0745 |
| 0.0124        | 30.0  | 266520 | 0.5620          | 0.2448 | 0.0794 |
| 0.0116        | 31.0  | 275404 | 0.5030          | 0.2419 | 0.0749 |
| 0.0108        | 32.0  | 284288 | 0.4731          | 0.2374 | 0.0729 |
| 0.0099        | 33.0  | 293172 | 0.4890          | 0.2425 | 0.0736 |
| 0.0095        | 34.0  | 302056 | 0.5449          | 0.2449 | 0.0783 |
| 0.0086        | 35.0  | 310940 | 0.5007          | 0.2355 | 0.0726 |
| 0.0082        | 36.0  | 319824 | 0.4715          | 0.2372 | 0.0738 |
| 0.0079        | 37.0  | 328708 | 0.5407          | 0.2430 | 0.0731 |
| 0.0072        | 38.0  | 337592 | 0.5361          | 0.2374 | 0.0738 |
| 0.0068        | 39.0  | 346476 | 0.5152          | 0.2459 | 0.0755 |
| 0.0063        | 40.0  | 355360 | 0.4737          | 0.2316 | 0.0715 |
| 0.0058        | 41.0  | 364244 | 0.5980          | 0.2391 | 0.0779 |
| 0.0052        | 42.0  | 373128 | 0.5633          | 0.2360 | 0.0727 |
| 0.0051        | 43.0  | 382012 | 0.5640          | 0.2352 | 0.0732 |
| 0.0046        | 44.0  | 390896 | 0.5674          | 0.2270 | 0.0710 |
| 0.0044        | 45.0  | 399780 | 0.5487          | 0.2352 | 0.0717 |
| 0.0042        | 46.0  | 408664 | 0.6279          | 0.2436 | 0.0786 |
| 0.0039        | 47.0  | 417548 | 0.6260          | 0.2438 | 0.0770 |
| 0.0038        | 48.0  | 426432 | 0.5995          | 0.2328 | 0.0763 |
| 0.0036        | 49.0  | 435316 | 0.6540          | 0.2403 | 0.0776 |
| 0.0031        | 50.0  | 444200 | 0.5347          | 0.2370 | 0.0747 |
| 0.0028        | 51.0  | 453084 | 0.6086          | 0.2490 | 0.0739 |
| 0.0026        | 52.0  | 461968 | 0.5515          | 0.2287 | 0.0693 |
| 0.0025        | 53.0  | 470852 | 0.6788          | 0.2414 | 0.0793 |
| 0.0023        | 54.0  | 479736 | 0.6384          | 0.2320 | 0.0721 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1