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
0.5805	1.0	506	0.7427	0.5
0.5596	2.0	1012	0.6658	0.6306
0.4595	3.0	1518	0.7195	0.6217
0.5451	4.0	2024	0.6221	0.6791
0.4334	5.0	2530	0.6253	0.6936
0.3446	6.0	3036	0.7335	0.6730
0.3106	7.0	3542	0.8420	0.6702
0.1988	8.0	4048	1.0634	0.6842
0.1554	9.0	4554	1.2181	0.6747
0.0698	10.0	5060	1.5398	0.6802
0.1746	11.0	5566	1.8350	0.6652
0.0639	12.0	6072	2.3253	0.6602
0.0004	13.0	6578	2.4828	0.6663
0.0338	14.0	7084	2.5842	0.6758
0.0006	15.0	7590	2.7395	0.6713
0.0002	16.0	8096	2.7720	0.6669
0.0001	17.0	8602	2.7865	0.6685
0.0002	18.0	9108	2.8497	0.6607
0.0002	19.0	9614	2.8792	0.6607
0.008	20.0	10120	2.9188	0.6691
0.0001	21.0	10626	2.7606	0.6920
0.0051	22.0	11132	3.0888	0.6669
0.0	23.0	11638	3.0709	0.6747
0.0	24.0	12144	3.1538	0.6730
0.0	25.0	12650	3.2574	0.6646
0.0	26.0	13156	3.2662	0.6663
0.0	27.0	13662	3.2635	0.6685
0.0	28.0	14168	3.2895	0.6669
0.0	29.0	14674	3.3094	0.6652
0.0	30.0	15180	3.3173	0.6657

Ahmed107/whisper-small-ar-eos-v8-eos-v12-2.5

whisper-small-ar-eos-v8-eos-v12-2.5