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: 681
training_steps: 6810
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
0.3994	0.9985	681	0.9444	60.1427
0.2352	1.9971	1362	0.8823	31.7033
0.1455	2.9956	2043	0.9547	32.2316
0.0828	3.9941	2724	1.0160	32.6732
0.0457	4.9927	3405	1.1148	32.5119
0.0247	5.9912	4086	1.1846	31.0990
0.013	6.9897	4767	1.2245	31.3227
0.0047	7.9883	5448	1.2999	30.9868
0.0014	8.9868	6129	1.3053	29.6578
0.0008	9.9853	6810	1.3251	29.5038

jethrowang/whisper-tiny_tat-esc_exp_una-gan

Whisper Tiny Taiwanese (exp_una-gan)