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: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.5979	0.4393	100	0.5265
0.5397	0.8786	200	0.4946
0.5145	1.3207	300	0.4670
0.4984	1.7600	400	0.4593
0.4872	2.2021	500	0.4511
0.4851	2.6414	600	0.4451
0.4896	3.0835	700	0.4370
0.4668	3.5228	800	0.4346
0.462	3.9621	900	0.4311
0.4601	4.4042	1000	0.4286

kavinda123321/speecht5_tamil_1

speecht5_tamil_1