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metadata
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
  - audio
  - text-to-speech
datasets:
  - fleurs
model-index:
  - name: speecht5_finetuned_fleurs_zh
    results: []

speecht5_finetuned_fleurs_zh

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

  • Loss: 0.4343

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: 400

Training results

Training Loss Epoch Step Validation Loss
0.6864 1.09 100 0.6009
0.5976 2.19 200 0.5062
0.543 3.28 300 0.4577
0.4786 4.38 400 0.4343

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3