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speecht5_finetuned_fleurs_fr

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

  • Loss: 0.3627

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: 6
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 6
  • total_train_batch_size: 36
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 250
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.3958 2.82 250 0.3692
0.3942 5.64 500 0.3651
0.3924 8.46 750 0.3615
0.3927 11.28 1000 0.3627

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.2
  • Tokenizers 0.13.3
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