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: 16
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.7063	0.2857	16	1.1193	35.2333
0.5128	0.5714	32	0.8445	27.9733
0.4019	0.8571	48	0.6201	22.1961
0.3671	1.1429	64	0.5204	20.2436
0.3611	1.4286	80	0.4896	20.3073
0.4283	1.7143	96	0.4779	18.1904
0.331	2.0	112	0.4702	19.1331
0.3912	2.2857	128	0.4658	18.1199
0.3416	2.5714	144	0.4629	18.5862
0.3787	2.8571	160	0.4605	17.9052

greenw0lf/whisper-maxcos-embeds-20h

whisper-maxcos-embeds-20h