adam_beta1: 0.9
adam_beta2: 0.99
freeze_text_encoder: true
global_batch_size: 16
gradient_accumulation_steps: 1
learning_rate: 0.0001
lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
- constant_with_warmup
max_duration_in_seconds: 20.0
mixed_precision: fp16
model_name_or_path: parler-tts/parler-tts-mini-v1
num_train_epochs: 500.0
per_device_train_batch_size: 16
temperature: 1.0
warmup_steps: 50
weight_decay: 0.01