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
0.6299	1.7778	100	0.5641
0.5678	3.5556	200	0.5297
0.5517	5.3333	300	0.5078
0.5409	7.1111	400	0.5074
0.5228	8.8889	500	0.4911
0.517	10.6667	600	0.4862
0.5058	12.4444	700	0.4817
0.4967	14.2222	800	0.4779
0.49	16.0	900	0.4777
0.4908	17.7778	1000	0.4777

kingmhd1519/speecht5_mehdi_new_as_try

speecht5_mehdi_new_as_try