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wav2vec2_tiny_ja_roman

This model is a fine-tuned version of charsiu/zh_w2v2_tiny_fc_10ms on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0716
  • eval_wer: 0.5521
  • eval_runtime: 26.495
  • eval_samples_per_second: 9.436
  • eval_steps_per_second: 1.208
  • epoch: 30.0
  • step: 4455

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: 8
  • eval_batch_size: 8
  • 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: 742
  • num_epochs: 50

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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