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speecht5_finetuned_voxpopuli_fi_lim_speakrs

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

  • Loss: 0.4429

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: 10
  • eval_batch_size: 2
  • seed: 42
  • 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: 250
  • training_steps: 8000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5587 1.25 500 0.4937
0.5176 2.5 1000 0.4703
0.4983 3.75 1500 0.4594
0.5016 5.0 2000 0.4584
0.4797 6.25 2500 0.4539
0.4845 7.5 3000 0.4512
0.4882 8.75 3500 0.4489
0.4721 10.0 4000 0.4469
0.4829 11.25 4500 0.4456
0.4974 12.5 5000 0.4457
0.4776 13.75 5500 0.4442
0.4866 15.0 6000 0.4441
0.4752 16.25 6500 0.4430
0.4765 17.5 7000 0.4430
0.4668 18.75 7500 0.4431
0.4823 20.0 8000 0.4429

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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