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SpeechT5 TTS urdu

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

  • Loss: 0.4670

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: 64
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5323 1.6694 1000 0.4864
0.5074 3.3389 2000 0.4734
0.5006 5.0083 3000 0.4685
0.5072 6.6778 4000 0.4670

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Dataset used to train huzaifa1117/speecht5_tts_voxpopuli_ur