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
0.6284	1.0	506	0.6770	0.5022
0.6035	2.0	1012	0.6186	0.6830
0.5059	3.0	1518	0.6554	0.6674
0.582	4.0	2024	0.5851	0.6959
0.4402	5.0	2530	0.6048	0.6975
0.3958	6.0	3036	0.6634	0.6948
0.3674	7.0	3542	0.8059	0.6948
0.1777	8.0	4048	1.0172	0.6864
0.1309	9.0	4554	1.1437	0.6747
0.0751	10.0	5060	1.5102	0.6763
0.0493	11.0	5566	1.9769	0.6680
0.0371	12.0	6072	2.3622	0.6797
0.0081	13.0	6578	2.5350	0.6802
0.0002	14.0	7084	2.8013	0.6730
0.0178	15.0	7590	2.9604	0.6663
0.0001	16.0	8096	3.0905	0.6652
0.0001	17.0	8602	3.0268	0.6669
0.0001	18.0	9108	2.8729	0.6853
0.0	19.0	9614	2.9037	0.6847
0.0171	20.0	10120	2.8267	0.6808
0.0	21.0	10626	2.8189	0.6814
0.0	22.0	11132	2.9142	0.6791
0.0001	23.0	11638	2.8557	0.6814
0.0	24.0	12144	3.0361	0.6724
0.0	25.0	12650	3.0190	0.6713
0.0	26.0	13156	3.0526	0.6752
0.0	27.0	13662	3.0976	0.6802
0.0	28.0	14168	3.1136	0.6713
0.0	29.0	14674	3.1319	0.6758
0.0	30.0	15180	3.1353	0.6769

Ahmed107/whisper-small-ar-eos-v8-eos-v12-1.7

whisper-small-ar-eos-v8-eos-v12-1.7