T5 TTS finetuned on accented english - b-koopman

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

  • Loss: 0.4800

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: 1000

Training results

Training Loss Epoch Step Validation Loss
0.632 1.05 100 0.5855
0.6262 2.11 200 0.5622
0.5991 3.16 300 0.5442
0.562 4.22 400 0.5110
0.5345 5.27 500 0.4929
0.5204 6.32 600 0.4888
0.5249 7.38 700 0.4835
0.5189 8.43 800 0.4812
0.5116 9.49 900 0.4798
0.5157 10.54 1000 0.4804

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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Dataset used to train b-koopman/speecht5_finetuned_voxpopuli_accented_en