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: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.6154	3.5556	100	0.5500
0.5594	7.1111	200	0.5302
0.5378	10.6667	300	0.5179
0.5086	14.2222	400	0.4924
0.4923	17.7778	500	0.4855
0.4871	21.3333	600	0.4844
0.4791	24.8889	700	0.4809
0.4724	28.4444	800	0.4793
0.4609	32.0	900	0.4837
0.4583	35.5556	1000	0.4877

kingmhd1519/speecht5_mehdi_as_Multi_token

speecht5_mehdi_as_Multi_token