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SpeechT5-fine-tune-en

This model is a fine-tuned version of microsoft/speecht5_tts on the TTS_English_Technical_data dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4473

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • 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: 100
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.6694 0.3583 100 0.5087
4.3795 0.7165 200 0.4933
4.1725 1.0748 300 0.4727
4.061 1.4330 400 0.4695
3.9896 1.7913 500 0.4633
3.941 2.1496 600 0.4580
3.8944 2.5078 700 0.4538
3.8968 2.8661 800 0.4522
3.79 3.2244 900 0.4499
3.8059 3.5826 1000 0.4473

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.2
  • Tokenizers 0.20.1
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