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: 100
training_steps: 1500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.611	3.5556	100	0.5611
0.55	7.1111	200	0.5361
0.5435	10.6667	300	0.5158
0.5081	14.2222	400	0.4987
0.4918	17.7778	500	0.5124
0.4851	21.3333	600	0.4984
0.4783	24.8889	700	0.5027
0.4721	28.4444	800	0.4964
0.4595	32.0	900	0.5092
0.4524	35.5556	1000	0.5169
0.4528	39.1111	1100	0.5130
0.4423	42.6667	1200	0.5114
0.4401	46.2222	1300	0.5175
0.439	49.7778	1400	0.5202
0.4357	53.3333	1500	0.5176

kingmhd1519/speecht5_mehdi_as_1

speecht5_mehdi_as_1