learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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_steps: 500
num_epochs: 32
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.0883	1.0	184	0.9264	63.0003
0.7851	2.0	368	0.7839	54.3894
0.58	3.0	552	0.7239	51.2081
0.3903	4.0	736	0.7172	48.4234
0.2419	5.0	920	0.7465	48.0082
0.1437	6.0	1104	0.7782	46.3196
0.0837	7.0	1288	0.8231	46.8934
0.0489	8.0	1472	0.8617	47.2805
0.0293	9.0	1656	0.8991	47.0426
0.0199	10.0	1840	0.9199	46.7721
0.0137	11.0	2024	0.9601	46.5202
0.0099	12.0	2208	0.9762	45.8158
0.0082	13.0	2392	0.9975	46.9493
0.0068	14.0	2576	1.0106	46.0304
0.005	15.0	2760	1.0298	45.9278
0.0041	16.0	2944	1.0384	45.4193
0.0031	17.0	3128	1.0595	45.7739
0.0024	18.0	3312	1.0812	46.2636
0.0018	19.0	3496	1.0898	45.7272
0.0014	20.0	3680	1.1017	45.9651
0.0013	21.0	3864	1.1133	45.8625
0.0012	22.0	4048	1.1198	45.4380
0.001	23.0	4232	1.1268	45.7086
0.0008	24.0	4416	1.1376	45.4427
0.0007	25.0	4600	1.1437	45.5966
0.0006	26.0	4784	1.1489	45.3960
0.0005	27.0	4968	1.1559	45.7832
0.0005	28.0	5152	1.1616	45.5080
0.0004	29.0	5336	1.1654	45.5640
0.0004	30.0	5520	1.1687	45.6526
0.0004	31.0	5704	1.1705	45.5873
0.0004	32.0	5888	1.1714	45.6526

MoatazNLP/asr-small-whisper-egy-ds-v1-trial1

asr-small-whisper-egy-ds-v1-trial1