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microsoft/speecht5_tts

This model is a fine-tuned version of SpeechT5 on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4873

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss
0.5472 6.13 1000 0.5091
0.5229 12.26 2000 0.4946
0.5122 18.39 3000 0.4898
0.5159 24.52 4000 0.4889
0.511 30.65 5000 0.4873

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Dataset used to train AltamashAhmed/TTS_speecht5_finetuned_voxpopuli_it