learning_rate: 0.0001
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Use 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: 488
training_steps: 4880
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
0.1299	0.9980	488	0.2820	17.9474
0.0685	1.9959	976	0.1976	12.9309
0.0314	2.9939	1464	0.1912	11.2525
0.0169	3.9918	1952	0.1744	13.9527
0.009	4.9898	2440	0.1621	9.9198
0.0027	5.9877	2928	0.1494	10.6526
0.0016	6.9857	3416	0.1451	8.7107
0.0006	7.9836	3904	0.1357	7.6889
0.0004	8.9816	4392	0.1329	7.6242
0.0001	9.9796	4880	0.1321	7.6600

jethrowang/vanilla-whisper-base_hat

Whisper Base Hakka Condenser