learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch_fused 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: 0.1
training_steps: 2500

Training Loss	Epoch	Step	Validation Loss	Wer
28.2487	0.1128	100	3.2587	1.0
11.1227	0.2255	200	2.6702	1.0
8.0281	0.3383	300	1.1044	0.9421
2.3961	0.4511	400	0.5071	0.5568
1.3243	0.5639	500	0.3686	0.4129
0.9699	0.6766	600	0.2877	0.3233
0.9166	0.7894	700	0.2549	0.2900
0.7583	0.9022	800	0.2285	0.2677
0.7533	1.0147	900	0.2171	0.2392
0.6738	1.1274	1000	0.2087	0.2246
0.5797	1.2402	1100	0.2014	0.2275
0.5635	1.3530	1200	0.1934	0.2154
0.5428	1.4657	1300	0.1845	0.2064
0.5114	1.5785	1400	0.1777	0.2050
0.4973	1.6913	1500	0.1743	0.2050
0.5309	1.8041	1600	0.1703	0.1920
0.4796	1.9168	1700	0.1624	0.1861
0.4433	2.0293	1800	0.1628	0.1746
0.3442	2.1421	1900	0.1568	0.1697
0.3531	2.2549	2000	0.1548	0.1707
0.4047	2.3676	2100	0.1524	0.1660
0.3403	2.4804	2200	0.1510	0.1626
0.3958	2.5932	2300	0.1474	0.1612
0.3272	2.7059	2400	0.1451	0.1576
0.3197	2.8187	2500	0.1440	0.1571

joeykurek/malagasy-asr

malagasy-asr