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SpeechT5 TTS sindhi

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

  • Loss: 0.3386

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: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.3716 0.2703 50 0.3473
0.3764 0.5405 100 0.3442
0.3736 0.8108 150 0.3438
0.3707 1.0811 200 0.3438
0.3736 1.3514 250 0.3427
0.3717 1.6216 300 0.3414
0.3614 1.8919 350 0.3401
0.3641 2.1622 400 0.3393
0.3679 2.4324 450 0.3394
0.3644 2.7027 500 0.3386

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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