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speecht5-tts-finetuned-es-voxpopuli-commonvoice16

This model is a fine-tuned version of Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16 on the mozilla-foundation/common_voice_16_1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4681

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: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5187 0.1953 1000 0.4877
0.5038 0.3906 2000 0.4823
0.5063 0.5859 3000 0.4788
0.5018 0.7812 4000 0.4744
0.4958 0.9764 5000 0.4728
0.4981 1.1717 6000 0.4713
0.4944 1.3670 7000 0.4703
0.4949 1.5623 8000 0.4683
0.4902 1.7576 9000 0.4687
0.4924 1.9529 10000 0.4681

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Dataset used to train Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16