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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7346
  • Wer: 1.0479

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 8000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.36 400 1.4595 1.0039
4.7778 2.71 800 0.8082 1.0115
0.6408 4.07 1200 0.7032 1.0079
0.3937 5.42 1600 0.6889 1.0433
0.3 6.78 2000 0.6820 1.0069
0.3 8.14 2400 0.6670 1.0196
0.226 9.49 2800 0.7216 1.0422
0.197 10.85 3200 0.7669 1.0534
0.165 12.2 3600 0.7517 1.0200
0.1486 13.56 4000 0.7125 1.0357
0.1486 14.92 4400 0.7447 1.0347
0.122 16.27 4800 0.6899 1.0440
0.1069 17.63 5200 0.7212 1.0350
0.0961 18.98 5600 0.7417 1.0408
0.086 20.34 6000 0.7402 1.0356
0.086 21.69 6400 0.7761 1.0420
0.0756 23.05 6800 0.7346 1.0369
0.0666 24.41 7200 0.7506 1.0449
0.0595 25.76 7600 0.7319 1.0476
0.054 27.12 8000 0.7346 1.0479

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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Dataset used to train kapilkd13/xls-r-hi-test

Evaluation results

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