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speecht5_finetuned_voxpopuli_v1

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

  • Loss: 0.3767

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: 4000

Training results

Training Loss Epoch Step Validation Loss
0.4264 2.71 1000 0.3889
0.4151 5.43 2000 0.3812
0.4131 8.14 3000 0.3773
0.4186 10.85 4000 0.3767

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train thiagoms7/speecht5_finetuned_voxpopuli_v1