learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 2000
training_steps: 20000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.1376	9.0499	2000	0.1013
0.1242	18.0999	4000	0.0932
0.1111	27.1498	6000	0.0903
0.1081	36.1998	8000	0.0895
0.1038	45.2497	10000	0.0889
0.0995	54.2997	12000	0.0870
0.1009	63.3496	14000	0.0875
0.0969	72.3995	16000	0.0868
0.0997	81.4495	18000	0.0871
0.0962	90.4994	20000	0.0868

sil-ai/senga-nt-fused-tts

senga-nt-fused-tts