learning_rate: 5e-06
train_batch_size: 32
eval_batch_size: 32
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: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6108	1.0	506	0.7022	0.5
0.5868	2.0	1012	0.6366	0.6780
0.4895	3.0	1518	0.6820	0.6523
0.5727	4.0	2024	0.5976	0.6942
0.4475	5.0	2530	0.6062	0.6992
0.3666	6.0	3036	0.6934	0.6858
0.3592	7.0	3542	0.7931	0.6864
0.1915	8.0	4048	0.9717	0.6747
0.0762	9.0	4554	1.2450	0.6797
0.0433	10.0	5060	1.6070	0.6886
0.1796	11.0	5566	2.1124	0.6786
0.0163	12.0	6072	2.1746	0.6741
0.012	13.0	6578	2.5129	0.6775
0.0639	14.0	7084	2.6168	0.6858
0.0378	15.0	7590	2.5820	0.6869
0.0001	16.0	8096	2.7996	0.6741
0.0081	17.0	8602	2.8051	0.6836
0.0001	18.0	9108	2.8716	0.6875
0.0	19.0	9614	3.0780	0.6702
0.0597	20.0	10120	2.7799	0.6925
0.0538	21.0	10626	2.7572	0.6847
0.0	22.0	11132	2.7749	0.6897
0.0	23.0	11638	2.8876	0.6881
0.0	24.0	12144	2.9893	0.6724
0.0	25.0	12650	3.0065	0.6802
0.0	26.0	13156	3.0087	0.6825
0.0	27.0	13662	3.0478	0.6786
0.0	28.0	14168	3.0592	0.6780
0.0	29.0	14674	3.0902	0.6775
0.0	30.0	15180	3.1011	0.6791

Ahmed107/whisper-small-ar-eos-v8-eos-v12-2

whisper-small-ar-eos-v8-eos-v12-2