learning_rate: 0.0001
train_batch_size: 48
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 12
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.9872	0.2927	12	1.1235	36.6189
0.8638	0.5854	24	0.8173	34.8106
0.5604	0.8780	36	0.5658	26.0509
0.444	1.1707	48	0.4771	19.8712
0.432	1.4634	60	0.4417	18.9553
0.3875	1.7561	72	0.4236	19.6397
0.3616	2.0488	84	0.4130	20.2872
0.3057	2.3415	96	0.4078	20.2402
0.3899	2.6341	108	0.4046	19.0392
0.3609	2.9268	120	0.4032	18.9888

greenw0lf/whisper-5hrs-meta-seed333

whisper-5hrs-meta-seed333