learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use 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
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
5.3014	0.0497	100	0.5731
4.8007	0.0994	200	0.5634
4.4991	0.1491	300	0.5075
4.3261	0.1987	400	0.5087
4.2605	0.2484	500	0.4883
4.196	0.2981	600	0.4805
4.108	0.3478	700	0.4697
4.1053	0.3975	800	0.4655
4.0197	0.4472	900	0.4595
4.0208	0.4969	1000	0.4583

youssefAma/speecht5_finetuned_emirhan_tr2

speecht5_finetuned_emirhan_tr2