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: 9
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.7998	0.2727	9	1.1718	36.9511
0.6661	0.5455	18	1.0265	36.7095
0.5443	0.8182	27	0.8771	32.9587
0.4818	1.0909	36	0.7319	27.1413
0.4164	1.3636	45	0.6286	26.3361
0.443	1.6364	54	0.5728	22.9778
0.3672	1.9091	63	0.5268	22.0049
0.3724	2.1818	72	0.5015	20.5690
0.3562	2.4545	81	0.4908	20.3509
0.3661	2.7273	90	0.4861	19.1163
0.3645	3.0	99	0.4848	19.1566

greenw0lf/whisper-mmr-embeds-10h

whisper-mmr-embeds-10h