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wav2vec2-xls-r-300m-ja-phoneme-cv_13_test

This model is a fine-tuned version of pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_4 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3902
  • Wer: 1.0452

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • 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: 500
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Wer
3.4481 3.22 500 3.3902 1.0452

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.3
  • Tokenizers 0.13.3
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Evaluation results