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: 39
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.2511	0.3	39	0.9054	41.8161
0.6972	0.6	78	0.5555	23.7203
0.5503	0.9	117	0.5132	23.7765
0.4966	1.2	156	0.4943	21.6504
0.4841	1.5	195	0.4807	20.8027
0.4759	1.8	234	0.4732	20.3625
0.4804	2.1	273	0.4682	20.3531
0.4416	2.4	312	0.4672	21.1071
0.4385	2.7	351	0.4652	20.1798
0.4327	3.0	390	0.4638	20.0393

greenw0lf/whisper-new-nnat-20h-meta-seed2025

whisper-new-nnat-20h-meta-seed2025