learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.6144	3.5714	100	0.4972
0.4638	7.1429	200	0.4306
0.4315	10.7143	300	0.4087
0.4071	14.2857	400	0.4117
0.3901	17.8571	500	0.4000
0.3808	21.4286	600	0.3989
0.3672	25.0	700	0.4052
0.3584	28.5714	800	0.4187
0.3439	32.1429	900	0.4229
0.3428	35.7143	1000	0.4223

Donmonc/speecht5_finetuned_9ja

speecht5_finetuned_9ja