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wav2vec2-large-xls-r-300m-Indonesian

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

  • Loss: 0.4087
  • Wer: 0.2461
  • Cer: 0.0666

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 400
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
5.0788 4.26 200 2.9389 1.0 1.0
2.8288 8.51 400 2.2535 1.0 0.8004
0.907 12.77 600 0.4558 0.4243 0.1095
0.4071 17.02 800 0.4013 0.3468 0.0913
0.3 21.28 1000 0.4167 0.3075 0.0816
0.2544 25.53 1200 0.4132 0.2835 0.0762
0.2145 29.79 1400 0.3878 0.2693 0.0729
0.1923 34.04 1600 0.4023 0.2623 0.0702
0.1681 38.3 1800 0.3984 0.2581 0.0686
0.1598 42.55 2000 0.3982 0.2493 0.0663
0.1464 46.81 2200 0.4087 0.2461 0.0666

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0
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Dataset used to train kingabzpro/wav2vec2-large-xls-r-300m-Indonesian

Evaluation results