learning_rate: 3e-05
train_batch_size: 12
eval_batch_size: 6
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: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
0.5208	8.3333	100	0.3326	6.5800
0.0245	16.6667	200	0.4374	5.6052
0.001	25.0	300	0.4592	5.4427
0.0003	33.3333	400	0.4810	5.1990
0.0002	41.6667	500	0.4961	5.1990
0.0001	50.0	600	0.5080	5.1990
0.0001	58.3333	700	0.5156	4.9553
0.0	66.6667	800	0.5231	4.9553
0.0	75.0	900	0.5324	5.1990
0.0	83.3333	1000	0.5352	5.1990
0.0	91.6667	1100	0.5416	5.1990
0.0	100.0	1200	0.5451	5.1990
0.0	108.3333	1300	0.5479	5.2803
0.0	116.6667	1400	0.5507	5.2803
0.0	125.0	1500	0.5521	5.2803
0.0	133.3333	1600	0.5544	5.2803
0.0	141.6667	1700	0.5540	5.2803
0.0	150.0	1800	0.5573	6.1738
0.0	158.3333	1900	0.5578	6.1738
0.0	166.6667	2000	0.5575	6.1738
0.0	175.0	2100	0.5622	6.1738
0.0	183.3333	2200	0.5640	6.1738
0.0	191.6667	2300	0.5657	6.1738
0.0	200.0	2400	0.5675	6.1738
0.0	208.3333	2500	0.5706	6.1738
0.0	216.6667	2600	0.5710	6.1738
0.0	225.0	2700	0.5715	6.1738
0.0	233.3333	2800	0.5720	6.1738
0.0	241.6667	2900	0.5728	6.1738
0.0	250.0	3000	0.5744	6.1738
0.0	258.3333	3100	0.5750	6.1738
0.0	266.6667	3200	0.5765	6.1738
0.0	275.0	3300	0.5770	6.1738
0.0	283.3333	3400	0.5781	6.1738
0.0	291.6667	3500	0.5783	6.1738
0.0	300.0	3600	0.5789	6.1738
0.0	308.3333	3700	0.5792	6.1738
0.0	316.6667	3800	0.5787	6.0926
0.0	325.0	3900	0.5785	6.0926
0.0	333.3333	4000	0.5788	6.0926

CianKim/whisper-tiny-kor_eng_tiny_oc_pr

whisper-tiny-kor_eng_tiny_oc_pr