SyedNaqi_TechSpeechT5_TTS

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: 0.4597

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: 14
  • eval_batch_size: 10
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 28
  • 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: 1000
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.3331 1.5649 500 0.5719
1.0675 3.1299 1000 0.4861
1.0427 4.6948 1500 0.4732
1.0088 6.2598 2000 0.4667
1.0052 7.8247 2500 0.4637
0.9862 9.3897 3000 0.4613
0.9788 10.9546 3500 0.4597
0.9792 12.5196 4000 0.4597

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.5.0+cu121
  • Datasets 3.0.2
  • Tokenizers 0.20.1
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