learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
1.8472	1.2195	100	0.8674	40.2730	38.8699
0.4906	2.4390	200	0.3698	22.8669	21.9178
0.2826	3.6585	300	0.1373	9.3857	7.8767
0.1323	4.8780	400	0.0503	3.5836	3.4247
0.0573	6.0976	500	0.0279	1.3652	1.1986
0.0241	7.3171	600	0.0413	1.7065	1.3699
0.0214	8.5366	700	0.0129	3.5836	3.4247
0.0116	9.7561	800	0.0044	0.0	0.0
0.0139	10.9756	900	0.0061	0.1706	0.1712
0.0161	12.1951	1000	0.0017	0.0	0.0

ntviet/whisper-small-co5

Whisper Small Co 5