---
library_name: transformers
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: hubert-large-ls960-ft-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: 0.20413735167489236
---

<!-- 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. -->

# hubert-large-ls960-ft-lg-CV-v1

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6251
- Wer: 0.2041
- Cer: 0.0609

## 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: 0.0003
- 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
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 0.5741        | 1.0   | 4442   | 0.4573          | 0.4271 | 0.1144 |
| 0.3189        | 2.0   | 8884   | 0.3821          | 0.3444 | 0.0932 |
| 0.2692        | 3.0   | 13326  | 0.3881          | 0.3310 | 0.0912 |
| 0.2405        | 4.0   | 17768  | 0.3453          | 0.3136 | 0.0854 |
| 0.2191        | 5.0   | 22210  | 0.3476          | 0.2931 | 0.0823 |
| 0.2039        | 6.0   | 26652  | 0.3841          | 0.2880 | 0.0825 |
| 0.1913        | 7.0   | 31094  | 0.3532          | 0.2869 | 0.0798 |
| 0.18          | 8.0   | 35536  | 0.3727          | 0.2849 | 0.0823 |
| 0.1708        | 9.0   | 39978  | 0.3410          | 0.2773 | 0.0785 |
| 0.1624        | 10.0  | 44420  | 0.3604          | 0.2705 | 0.0794 |
| 0.1552        | 11.0  | 48862  | 0.3589          | 0.2661 | 0.0765 |
| 0.1485        | 12.0  | 53304  | 0.3614          | 0.2687 | 0.0770 |
| 0.1418        | 13.0  | 57746  | 0.3500          | 0.2637 | 0.0762 |
| 0.1358        | 14.0  | 62188  | 0.3713          | 0.2628 | 0.0766 |
| 0.131         | 15.0  | 66630  | 0.3908          | 0.2603 | 0.0758 |
| 0.1255        | 16.0  | 71072  | 0.4089          | 0.2608 | 0.0758 |
| 0.1205        | 17.0  | 75514  | 0.3848          | 0.2595 | 0.0742 |
| 0.1162        | 18.0  | 79956  | 0.3554          | 0.2594 | 0.0739 |
| 0.1125        | 19.0  | 84398  | 0.3461          | 0.2593 | 0.0742 |
| 0.1073        | 20.0  | 88840  | 0.3663          | 0.2545 | 0.0729 |
| 0.1039        | 21.0  | 93282  | 0.4556          | 0.2578 | 0.0743 |
| 0.1           | 22.0  | 97724  | 0.4258          | 0.2504 | 0.0724 |
| 0.0965        | 23.0  | 102166 | 0.4246          | 0.2545 | 0.0754 |
| 0.0931        | 24.0  | 106608 | 0.4570          | 0.2603 | 0.0757 |
| 0.0894        | 25.0  | 111050 | 0.4039          | 0.2488 | 0.0732 |
| 0.0865        | 26.0  | 115492 | 0.4119          | 0.2510 | 0.0720 |
| 0.083         | 27.0  | 119934 | 0.4227          | 0.2454 | 0.0716 |
| 0.0805        | 28.0  | 124376 | 0.4424          | 0.2541 | 0.0728 |
| 0.0777        | 29.0  | 128818 | 0.4061          | 0.2457 | 0.0709 |
| 0.0762        | 30.0  | 133260 | 0.4114          | 0.2450 | 0.0704 |
| 0.0724        | 31.0  | 137702 | 0.4599          | 0.2516 | 0.0719 |
| 0.0711        | 32.0  | 142144 | 0.4311          | 0.2466 | 0.0714 |
| 0.069         | 33.0  | 146586 | 0.4517          | 0.2482 | 0.0717 |
| 0.0673        | 34.0  | 151028 | 0.4728          | 0.2467 | 0.0712 |
| 0.0655        | 35.0  | 155470 | 0.4542          | 0.2437 | 0.0713 |
| 0.0634        | 36.0  | 159912 | 0.4546          | 0.2480 | 0.0713 |
| 0.0612        | 37.0  | 164354 | 0.4852          | 0.2479 | 0.0718 |
| 0.0607        | 38.0  | 168796 | 0.4892          | 0.2433 | 0.0705 |
| 0.0585        | 39.0  | 173238 | 0.4686          | 0.2416 | 0.0702 |
| 0.0573        | 40.0  | 177680 | 0.4725          | 0.2412 | 0.0710 |
| 0.0556        | 41.0  | 182122 | 0.4737          | 0.2385 | 0.0696 |
| 0.0548        | 42.0  | 186564 | 0.4964          | 0.2448 | 0.0704 |
| 0.0527        | 43.0  | 191006 | 0.5236          | 0.2429 | 0.0706 |
| 0.052         | 44.0  | 195448 | 0.5130          | 0.2415 | 0.0714 |
| 0.0503        | 45.0  | 199890 | 0.4936          | 0.2375 | 0.0688 |
| 0.0496        | 46.0  | 204332 | 0.5120          | 0.2336 | 0.0680 |
| 0.048         | 47.0  | 208774 | 0.4964          | 0.2362 | 0.0694 |
| 0.0473        | 48.0  | 213216 | 0.5200          | 0.2372 | 0.0687 |
| 0.0465        | 49.0  | 217658 | 0.5433          | 0.2424 | 0.0708 |
| 0.0447        | 50.0  | 222100 | 0.5008          | 0.2335 | 0.0680 |
| 0.0444        | 51.0  | 226542 | 0.5024          | 0.2247 | 0.0668 |
| 0.0431        | 52.0  | 230984 | 0.5003          | 0.2307 | 0.0669 |
| 0.0423        | 53.0  | 235426 | 0.4892          | 0.2331 | 0.0676 |
| 0.0403        | 54.0  | 239868 | 0.5495          | 0.2316 | 0.0679 |
| 0.0406        | 55.0  | 244310 | 0.5193          | 0.2278 | 0.0661 |
| 0.0391        | 56.0  | 248752 | 0.5961          | 0.2331 | 0.0687 |
| 0.0389        | 57.0  | 253194 | 0.5227          | 0.2297 | 0.0667 |
| 0.0379        | 58.0  | 257636 | 0.5506          | 0.2295 | 0.0672 |
| 0.0366        | 59.0  | 262078 | 0.5725          | 0.2231 | 0.0673 |
| 0.0357        | 60.0  | 266520 | 0.5493          | 0.2280 | 0.0662 |
| 0.0357        | 61.0  | 270962 | 0.5355          | 0.2269 | 0.0656 |
| 0.035         | 62.0  | 275404 | 0.5430          | 0.2226 | 0.0653 |
| 0.0343        | 63.0  | 279846 | 0.5375          | 0.2211 | 0.0644 |
| 0.0334        | 64.0  | 284288 | 0.5769          | 0.2248 | 0.0668 |
| 0.0333        | 65.0  | 288730 | 0.5763          | 0.2183 | 0.0642 |
| 0.0322        | 66.0  | 293172 | 0.5787          | 0.2190 | 0.0653 |
| 0.0314        | 67.0  | 297614 | 0.5564          | 0.2207 | 0.0642 |
| 0.0305        | 68.0  | 302056 | 0.5813          | 0.2208 | 0.0666 |
| 0.03          | 69.0  | 306498 | 0.5837          | 0.2217 | 0.0647 |
| 0.0292        | 70.0  | 310940 | 0.5723          | 0.2238 | 0.0649 |
| 0.0284        | 71.0  | 315382 | 0.5503          | 0.2218 | 0.0645 |
| 0.0285        | 72.0  | 319824 | 0.5615          | 0.2187 | 0.0636 |
| 0.0276        | 73.0  | 324266 | 0.5725          | 0.2178 | 0.0650 |
| 0.0273        | 74.0  | 328708 | 0.5483          | 0.2187 | 0.0634 |
| 0.027         | 75.0  | 333150 | 0.5627          | 0.2148 | 0.0632 |
| 0.026         | 76.0  | 337592 | 0.5610          | 0.2203 | 0.0655 |
| 0.0253        | 77.0  | 342034 | 0.5776          | 0.2153 | 0.0635 |
| 0.0248        | 78.0  | 346476 | 0.5823          | 0.2173 | 0.0643 |
| 0.0242        | 79.0  | 350918 | 0.5968          | 0.2172 | 0.0639 |
| 0.0241        | 80.0  | 355360 | 0.6121          | 0.2185 | 0.0647 |
| 0.0232        | 81.0  | 359802 | 0.5909          | 0.2140 | 0.0648 |
| 0.0227        | 82.0  | 364244 | 0.6262          | 0.2209 | 0.0663 |
| 0.0224        | 83.0  | 368686 | 0.5913          | 0.2137 | 0.0645 |
| 0.0215        | 84.0  | 373128 | 0.6057          | 0.2141 | 0.0642 |
| 0.0212        | 85.0  | 377570 | 0.6079          | 0.2135 | 0.0635 |
| 0.0209        | 86.0  | 382012 | 0.6067          | 0.2117 | 0.0639 |
| 0.0201        | 87.0  | 386454 | 0.6119          | 0.2108 | 0.0638 |
| 0.0199        | 88.0  | 390896 | 0.6298          | 0.2112 | 0.0638 |
| 0.0194        | 89.0  | 395338 | 0.6054          | 0.2083 | 0.0620 |
| 0.0192        | 90.0  | 399780 | 0.6238          | 0.2083 | 0.0634 |
| 0.0184        | 91.0  | 404222 | 0.6293          | 0.2099 | 0.0630 |
| 0.0184        | 92.0  | 408664 | 0.6166          | 0.2058 | 0.0611 |
| 0.0182        | 93.0  | 413106 | 0.6175          | 0.2072 | 0.0618 |
| 0.0179        | 94.0  | 417548 | 0.6196          | 0.2061 | 0.0610 |
| 0.0176        | 95.0  | 421990 | 0.6181          | 0.2059 | 0.0614 |
| 0.0174        | 96.0  | 426432 | 0.6187          | 0.2039 | 0.0606 |
| 0.0167        | 97.0  | 430874 | 0.6381          | 0.2064 | 0.0615 |
| 0.017         | 98.0  | 435316 | 0.6268          | 0.2049 | 0.0611 |
| 0.0165        | 99.0  | 439758 | 0.6262          | 0.2041 | 0.0610 |
| 0.0166        | 100.0 | 444200 | 0.6251          | 0.2041 | 0.0609 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3