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 OptimizerNames.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: 500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.7134	0.1575	25	0.5496
0.6033	0.3150	50	0.4918
0.5202	0.4724	75	0.4590
0.492	0.6299	100	0.4208
0.4701	0.7874	125	0.4153
0.451	0.9449	150	0.4076
0.4352	1.1008	175	0.3961
0.4328	1.2583	200	0.3925
0.4265	1.4157	225	0.3894
0.4263	1.5732	250	0.3935
0.4166	1.7307	275	0.3791
0.4156	1.8882	300	0.3735
0.4007	2.0441	325	0.3717
0.4002	2.2016	350	0.3686
0.4021	2.3591	375	0.3677
0.3945	2.5165	400	0.3651
0.3969	2.6740	425	0.3630
0.3936	2.8315	450	0.3617
0.3923	2.9890	475	0.3592
0.3839	3.1449	500	0.3594

as-krn/speecht5_finetuned_as-krn_tr_v2

speecht5_finetuned_as-krn_tr_v2