learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 2
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: 100
num_epochs: 12

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.2677	1.0	1000	0.4901	0.2760	0.5167
0.1301	2.0	2000	0.5221	0.2478	0.5118
0.0496	3.0	3000	0.5680	0.2489	0.5119
0.0204	4.0	4000	0.6225	0.2662	0.5170
0.0103	5.0	5000	0.6579	0.2456	0.5110
0.0091	6.0	6000	0.6706	0.2502	0.5122
0.0012	7.0	7000	0.6920	0.2427	0.5111
0.0005	8.0	8000	0.7184	0.2422	0.5098
0.0003	9.0	9000	0.7554	0.2417	0.5112
0.0003	10.0	10000	0.7458	0.2478	0.5122
0.0002	11.0	11000	0.7628	0.2523	0.5121
0.0002	12.0	12000	0.7785	0.2453	0.5119

lejonck/whisper-small-mupe-3

whisper-small-mupe-3