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: 16
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.2719	0.1818	10	1.2888	43.6065
1.1144	0.3636	20	1.0280	39.0610
0.9183	0.5455	30	0.7827	31.6222
0.738	0.7273	40	0.6520	21.8032
0.6631	0.9091	50	0.5874	18.2845
0.6624	1.0909	60	0.5370	18.2285
0.5911	1.2727	70	0.5107	16.8751
0.5653	1.4545	80	0.4948	16.6978
0.5373	1.6364	90	0.4828	16.2684
0.5579	1.8182	100	0.4770	15.9978
0.5817	2.0	110	0.4710	15.8391
0.5423	2.1818	120	0.4688	15.7831
0.5186	2.3636	130	0.4658	15.4844
0.4931	2.5455	140	0.4630	15.6338
0.533	2.7273	150	0.4611	15.4751
0.5488	2.9091	160	0.4599	15.5497

greenw0lf/whisper-nonnat-10h-meta-seed2025

whisper-nonnat-10h-meta-seed2025