learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
0.2266	0.1200	300	11.9034	0.2345	44.7619
0.208	0.2399	600	11.3157	0.2132	41.1060
0.185	0.3599	900	9.4204	0.1753	35.6068
0.1567	0.4798	1200	8.8596	0.1634	33.9324
0.1411	0.5998	1500	8.7004	0.1523	33.0568
0.1377	0.7197	1800	7.3120	0.1371	29.7849
0.1147	0.8397	2100	7.0010	0.1332	27.7112
0.1116	0.9596	2400	6.5798	0.1212	26.3287
0.0757	1.0796	2700	6.1268	0.1193	24.7773
0.0609	1.1995	3000	5.8991	0.1154	24.6237
0.0612	1.3195	3300	5.2599	0.1091	22.0737
0.0627	1.4394	3600	5.3579	0.1045	21.6283
0.0582	1.5594	3900	5.1938	0.0995	21.5054
0.0551	1.6793	4200	4.7947	0.0956	19.8771
0.052	1.7993	4500	4.5473	0.0897	19.1244
0.0438	1.9192	4800	4.4861	0.0876	18.7250

kiranpantha/whisper-large-v3-nepali

Whisper Large v3 Nepali - Kiran Pantha