NbAiLab / XLSR-300M-bokmaal

huggingface.co
Total runs: 72
24-hour runs: 3
7-day runs: 6
30-day runs: 68
Model's Last Updated: March 24 2022
automatic-speech-recognition

Introduction of XLSR-300M-bokmaal

Model Details of XLSR-300M-bokmaal

XLSR-300M-bokmaal

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the NBAILAB/NPSC - 16K_MP3_BOKMAAL dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1635
  • Wer: 0.1005
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: 16
  • eval_batch_size: 16
  • 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
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 15.0
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
3.0307 0.32 500 3.0026 1.0
2.7865 0.64 1000 2.4849 0.9926
0.7522 0.95 1500 0.4567 0.3594
0.5703 1.27 2000 0.3440 0.2586
0.4762 1.59 2500 0.2925 0.2178
0.4585 1.91 3000 0.2442 0.1981
0.4013 2.23 3500 0.2495 0.1818
0.449 2.54 4000 0.2152 0.1808
0.355 2.86 4500 0.2179 0.1670
0.3142 3.18 5000 0.1953 0.1542
0.3242 3.5 5500 0.2103 0.1526
0.3016 3.82 6000 0.1911 0.1477
0.2713 4.13 6500 0.1836 0.1422
0.2807 4.45 7000 0.1924 0.1447
0.2929 4.77 7500 0.1848 0.1402
0.2595 5.09 8000 0.1783 0.1330
0.2289 5.41 8500 0.1901 0.1313
0.2567 5.72 9000 0.1784 0.1298
0.2401 6.04 9500 0.1956 0.1298
0.2098 6.36 10000 0.1748 0.1277
0.2246 6.68 10500 0.1777 0.1254
0.2197 7.0 11000 0.1703 0.1222
0.2122 7.32 11500 0.1917 0.1221
0.2746 7.63 12000 0.1769 0.1215
0.2148 7.95 12500 0.1736 0.1193
0.1915 8.27 13000 0.1814 0.1161
0.2462 8.59 13500 0.1748 0.1166
0.1872 8.91 14000 0.1769 0.1133
0.1886 9.22 14500 0.1852 0.1143
0.1789 9.54 15000 0.1696 0.1126
0.1692 9.86 15500 0.1817 0.1122
0.1765 10.18 16000 0.1769 0.1093
0.1699 10.5 16500 0.1604 0.1084
0.1591 10.81 17000 0.1777 0.1080
0.1499 11.13 17500 0.1645 0.1074
0.163 11.45 18000 0.1704 0.1065
0.1597 11.77 18500 0.1576 0.1064
0.1484 12.09 19000 0.1637 0.1041
0.1464 12.4 19500 0.1631 0.1047
0.156 12.72 20000 0.1686 0.1029
0.1625 13.04 20500 0.1648 0.1023
0.1395 13.36 21000 0.1688 0.1027
0.1387 13.68 21500 0.1670 0.1013
0.1434 13.99 22000 0.1677 0.1017
0.1442 14.31 22500 0.1688 0.1008
0.1439 14.63 23000 0.1647 0.1004
0.137 14.95 23500 0.1636 0.1006
Framework versions
  • Transformers 4.17.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0

Runs of NbAiLab XLSR-300M-bokmaal on huggingface.co

72
Total runs
3
24-hour runs
4
3-day runs
6
7-day runs
68
30-day runs

More Information About XLSR-300M-bokmaal huggingface.co Model

More XLSR-300M-bokmaal license Visit here:

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

XLSR-300M-bokmaal huggingface.co

XLSR-300M-bokmaal huggingface.co is an AI model on huggingface.co that provides XLSR-300M-bokmaal's model effect (), which can be used instantly with this NbAiLab XLSR-300M-bokmaal model. huggingface.co supports a free trial of the XLSR-300M-bokmaal model, and also provides paid use of the XLSR-300M-bokmaal. Support call XLSR-300M-bokmaal model through api, including Node.js, Python, http.

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XLSR-300M-bokmaal install

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