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speecht5_tts_commonvoice_ca

Text-to-Audio
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speecht5_tts_commonvoice_ca / README.md
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metadata
language:
  - ca
license: mit
tags:
  - TTS
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: SpeechT5 TTS Catalan
    results: []

SpeechT5 TTS Catalan

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

  • eval_loss: 0.5261
  • eval_runtime: 45.091
  • eval_samples_per_second: 22.177
  • eval_steps_per_second: 1.397
  • epoch: 8.02
  • step: 4000

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • 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: 8000

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3