learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 400
training_steps: 2000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.798	2.8937	200	0.7320
0.7224	5.7928	400	0.6457
0.6826	8.6919	600	0.6195
0.6541	11.5910	800	0.6079
0.6493	14.4901	1000	0.6030
0.6454	17.3892	1200	0.5985
0.6491	20.2883	1400	0.5952
0.6273	23.1874	1600	0.5925
0.6416	26.0865	1800	0.5918
0.6195	28.9802	2000	0.5899

Setosm/speecht5_finetuned_afrispeech_east_african

SpeechT5_tts_ea_eng