learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.6506	1.0	239	0.5907
0.5796	2.0	478	0.5158
0.5326	3.0	717	0.5087
0.5343	4.0	956	0.5023
0.5319	5.0	1195	0.4958
0.5193	6.0	1434	0.4878
0.5253	7.0	1673	0.4854
0.4992	8.0	1912	0.4851
0.4983	9.0	2151	0.4807
0.5039	10.0	2390	0.4781
0.5153	11.0	2629	0.4777
0.4882	12.0	2868	0.4773
0.4917	13.0	3107	0.4819
0.4942	14.0	3346	0.4758
0.4817	15.0	3585	0.4771
0.4832	16.0	3824	0.4763
0.4721	17.0	4063	0.4776
0.4975	18.0	4302	0.4789
0.493	19.0	4541	0.4770
0.4955	20.0	4780	0.4761

Strange18/speecht5_tts_voxpopuli_nl

speecht5_tts_voxpopuli_nl