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: 17
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.0942	0.1754	10	1.2928	44.2318
0.9643	0.3509	20	1.0435	41.5438
0.7436	0.5263	30	0.7887	37.3437
0.5663	0.7018	40	0.6448	20.9819
0.5914	0.8772	50	0.5740	19.6752
0.5109	1.0526	60	0.5343	20.1885
0.5005	1.2281	70	0.5136	17.8925
0.4977	1.4035	80	0.5026	17.6405
0.4849	1.5789	90	0.4951	16.5951
0.4532	1.7544	100	0.4878	16.3991
0.4555	1.9298	110	0.4839	16.4458
0.4505	2.1053	120	0.4802	16.4178
0.4165	2.2807	130	0.4773	16.3338
0.4216	2.4561	140	0.4747	16.1938
0.4182	2.6316	150	0.4734	16.2591
0.4331	2.8070	160	0.4725	16.1938
0.4819	2.9825	170	0.4722	16.2031

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

whisper-nonnat-10h-mmr-xlsr