learning_rate: 0.0001
train_batch_size: 48
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch_fused 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: 27
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.1391	0.1630	15	1.2594	43.7372
0.9605	0.3261	30	0.8682	40.8998
0.7008	0.4891	45	0.6386	20.9632
0.591	0.6522	60	0.5440	18.7512
0.5661	0.8152	75	0.5172	18.8258
0.4976	0.9783	90	0.4968	17.0338
0.5174	1.1413	105	0.4878	16.7258
0.4572	1.3043	120	0.4780	16.6044
0.4824	1.4674	135	0.4705	16.2871
0.4926	1.6304	150	0.4674	15.9511
0.4328	1.7935	165	0.4640	16.0631
0.4352	1.9565	180	0.4613	16.0444
0.4206	2.1196	195	0.4589	15.8951
0.4398	2.2826	210	0.4567	16.0071
0.4433	2.4457	225	0.4560	15.9511
0.444	2.6087	240	0.4542	15.8484
0.412	2.7717	255	0.4530	15.8204
0.4033	2.9348	270	0.4525	15.8111

greenw0lf/whisper-nonnat-10h-caps-xlsr

whisper-nonnat-10h-caps-xlsr