Wav2Vec2 Large XLSR Finetuned Indonesian

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3803
  • Wer: 26.7576

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • 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
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.7664 3.8462 500 2.5328 100.0
0.3638 7.6923 1000 0.3765 36.7488
0.2505 11.5385 1500 0.3445 32.9203
0.1956 15.3846 2000 0.3549 30.5443
0.1622 19.2308 2500 0.3692 28.3122
0.1319 23.0769 3000 0.3788 28.0431
0.1119 26.9231 3500 0.3803 26.7576

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.4.1
  • Tokenizers 0.21.0
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