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SpeechT5 TTS Chinese

This model is a fine-tuned version of GCYY/speecht5_finetuned_fleurs_zh on the fleurs dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3956
• eval_runtime: 36.5499
• eval_samples_per_second: 12.586
• eval_steps_per_second: 1.587
• epoch: 15.44
• step: 2000

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• 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: 4000

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3