learning_rate: 5e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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_ratio: 0.2
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.682	1.0	166	0.6867	0.6395
0.6463	2.0	332	0.6377	0.6531
0.5829	3.0	498	0.6250	0.6633
0.6197	4.0	664	0.6798	0.6429
0.3921	5.0	830	0.9584	0.5918
0.3009	6.0	996	0.9658	0.6395
0.123	7.0	1162	1.3115	0.6293
0.1418	8.0	1328	1.8621	0.6190
0.1181	9.0	1494	2.2151	0.6020
0.0014	10.0	1660	2.3968	0.6156
0.0007	11.0	1826	2.7913	0.5646
0.0004	12.0	1992	2.9198	0.6020
0.0003	13.0	2158	2.9664	0.5850
0.0002	14.0	2324	3.1507	0.5850
0.0002	15.0	2490	3.1987	0.5884
0.0001	16.0	2656	3.2650	0.5782
0.0001	17.0	2822	3.3091	0.5714
0.0002	18.0	2988	3.3048	0.5782
0.0023	19.0	3154	3.2925	0.5918
0.0001	20.0	3320	3.3471	0.5748

Ahmed107/whisper-small-ar-eos-v4

whisper-small-ar-ft-kws-speech-commands