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
