SpeechT5-TTS with IPA small data v5 including _ for Thai

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

  • Loss: 0.4499

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5578 1.0 2066 0.4980
0.5252 2.0 4132 0.4766
0.5233 3.0 6198 0.4589
0.4875 4.0 8264 0.4543
0.4875 4.9978 10325 0.4499

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.1
  • Tokenizers 0.21.1
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Dataset used to train ThuraAung1601/speecht5_for_thai_with_ipa_tts_v5