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: 58
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.6674	0.2944	58	0.5641	30.3486
0.3162	0.5888	116	0.4378	25.5812
0.2507	0.8832	174	0.4143	21.1326
0.3508	1.1777	232	0.4067	20.4415
0.396	1.4721	290	0.3986	19.9618
0.3344	1.7665	348	0.3942	20.9850
0.3719	2.0609	406	0.3898	19.4115
0.3384	2.3553	464	0.3873	19.4719
0.2369	2.6497	522	0.3870	19.6128
0.2645	2.9442	580	0.3865	19.5189

greenw0lf/whisper-ecapa-mmr-5h

whisper-ecapa-mmr-5h