speecht5_english

This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_22_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5857
• eval_runtime: 1.8838
• eval_samples_per_second: 50.962
• eval_steps_per_second: 6.37
• epoch: 285.7407
• 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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine_with_restarts
• lr_scheduler_warmup_steps: 500
• training_steps: 6000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.1+cu128
• Datasets 2.20.0
• Tokenizers 0.22.2