aconeil / w2v2-lmk_augmented

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -29
30-day runs: -27
Model's Last Updated: November 22 2025
automatic-speech-recognition

Introduction of w2v2-lmk_augmented

Model Details of w2v2-lmk_augmented

w2v2-lmk_augmented

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the audiofolder dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2406
  • Wer: 0.4878
  • Cer: 0.1858
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: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 300
  • num_epochs: 100
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Cer
8.5498 2.7123 100 4.0528 1.0 1.0
3.1716 5.4110 200 2.9634 1.0 1.0
2.9756 8.1096 300 2.8924 1.0 1.0
2.8279 10.8219 400 2.5968 1.0 1.0
2.2866 13.5205 500 1.7827 0.9895 0.6283
1.619 16.2192 600 1.3242 0.9443 0.4021
1.2926 18.9315 700 1.1299 0.7875 0.2833
1.0181 21.6301 800 1.1390 0.6585 0.2513
0.8774 24.3288 900 1.0760 0.6132 0.2338
0.7471 27.0274 1000 0.9959 0.5889 0.2155
0.6542 29.7397 1100 1.0575 0.5575 0.2117
0.5632 32.4384 1200 1.0240 0.5784 0.2171
0.4834 35.1370 1300 1.0971 0.5505 0.1912
0.4716 37.8493 1400 1.1336 0.5749 0.2056
0.45 40.5479 1500 1.0703 0.5679 0.2079
0.394 43.2466 1600 1.1579 0.5645 0.2178
0.3588 45.9589 1700 1.0555 0.5296 0.1896
0.3217 48.6575 1800 1.2323 0.5575 0.2102
0.3245 51.3562 1900 1.1639 0.5401 0.2018
0.289 54.0548 2000 1.1304 0.5122 0.1927
0.28 56.7671 2100 1.2295 0.5296 0.2003
0.2521 59.4658 2200 1.1612 0.5226 0.1950
0.2624 62.1644 2300 1.1982 0.5157 0.2003
0.2402 64.8767 2400 1.2075 0.5296 0.1988
0.2258 67.5753 2500 1.2091 0.5366 0.2003
0.2232 70.2740 2600 1.1830 0.5296 0.1957
0.2181 72.9863 2700 1.2001 0.5157 0.1942
0.2214 75.6849 2800 1.1942 0.5052 0.1889
0.1752 78.3836 2900 1.1873 0.5087 0.1896
0.1891 81.0822 3000 1.2159 0.5192 0.1927
0.1733 83.7945 3100 1.2105 0.5017 0.1881
0.1982 86.4932 3200 1.2331 0.5087 0.1874
0.1681 89.1918 3300 1.1848 0.4808 0.1790
0.1631 91.9041 3400 1.2273 0.4878 0.1858
0.1579 94.6027 3500 1.2334 0.4948 0.1843
0.1795 97.3014 3600 1.2399 0.4878 0.1851
0.1592 100.0 3700 1.2406 0.4878 0.1858
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu128
  • Datasets 3.0.0
  • Tokenizers 0.22.1

Runs of aconeil w2v2-lmk_augmented on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
-29
7-day runs
-27
30-day runs

More Information About w2v2-lmk_augmented huggingface.co Model

More w2v2-lmk_augmented license Visit here:

https://choosealicense.com/licenses/apache-2.0

w2v2-lmk_augmented huggingface.co

w2v2-lmk_augmented huggingface.co is an AI model on huggingface.co that provides w2v2-lmk_augmented's model effect (), which can be used instantly with this aconeil w2v2-lmk_augmented model. huggingface.co supports a free trial of the w2v2-lmk_augmented model, and also provides paid use of the w2v2-lmk_augmented. Support call w2v2-lmk_augmented model through api, including Node.js, Python, http.

w2v2-lmk_augmented huggingface.co Url

https://huggingface.co/aconeil/w2v2-lmk_augmented

aconeil w2v2-lmk_augmented online free

w2v2-lmk_augmented huggingface.co is an online trial and call api platform, which integrates w2v2-lmk_augmented's modeling effects, including api services, and provides a free online trial of w2v2-lmk_augmented, you can try w2v2-lmk_augmented online for free by clicking the link below.

aconeil w2v2-lmk_augmented online free url in huggingface.co:

https://huggingface.co/aconeil/w2v2-lmk_augmented

w2v2-lmk_augmented install

w2v2-lmk_augmented is an open source model from GitHub that offers a free installation service, and any user can find w2v2-lmk_augmented on GitHub to install. At the same time, huggingface.co provides the effect of w2v2-lmk_augmented install, users can directly use w2v2-lmk_augmented installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

w2v2-lmk_augmented install url in huggingface.co:

https://huggingface.co/aconeil/w2v2-lmk_augmented

Url of w2v2-lmk_augmented

w2v2-lmk_augmented huggingface.co Url

Provider of w2v2-lmk_augmented huggingface.co

aconeil
ORGANIZATIONS

Other API from aconeil

huggingface.co

Total runs: 11
Run Growth: 7
Growth Rate: 63.64%
Updated:February 16 2026
huggingface.co

Total runs: 10
Run Growth: 6
Growth Rate: 60.00%
Updated:April 04 2026
huggingface.co

Total runs: 2
Run Growth: 0
Growth Rate: 0.00%
Updated:November 30 2024