speecht5_finetuned_voxpopuli_es

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

  • Loss: 0.4743

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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.7149 1.1799 100 0.6094
0.6526 2.3599 200 0.5722
0.5987 3.5398 300 0.5286
0.5604 4.7198 400 0.5086
0.5468 5.8997 500 0.4940
0.5322 7.0796 600 0.4859
0.5272 8.2596 700 0.4807
0.5245 9.4395 800 0.4772
0.5169 10.6195 900 0.4765
0.5204 11.7994 1000 0.4743

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.2
  • Tokenizers 0.19.1
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