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: 1700
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.7601	0.1779	100	0.6865
0.7091	0.3559	200	0.6498
0.6819	0.5338	300	0.6345
0.6561	0.7117	400	0.6350
0.6353	0.8897	500	0.6044
0.6393	1.0676	600	0.5887
0.6402	1.2456	700	0.5906
0.6194	1.4235	800	0.5867
0.6127	1.6014	900	0.5788
0.608	1.7794	1000	0.5765
0.6129	1.9573	1100	0.5738
0.6044	2.1352	1200	0.5680
0.5894	2.3132	1300	0.5655
0.5952	2.4911	1400	0.5648
0.5963	2.6690	1500	0.5572
0.5889	2.8470	1600	0.5614
0.5897	3.0249	1700	0.5572

Solo448/SpeechT5-tuned-bn

SpeechT5-tuned-bn