learning_rate: 3.75e-05
train_batch_size: 16
eval_batch_size: 16
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: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
0.1064	1.0	2000	0.0940	12.9230
0.0464	2.0	4000	0.0628	9.4547
0.031	3.0	6000	0.0464	6.7916
0.0164	4.0	8000	0.0385	5.9734
0.0106	5.0	10000	0.0391	5.6213
0.0053	6.0	12000	0.0399	6.9172
0.0025	7.0	14000	0.0396	5.7715
0.0007	8.0	16000	0.0386	5.7948
0.0001	9.0	18000	0.0389	5.1138
0.0001	10.0	20000	0.0389	5.1254

Angeriod/in_car_commands_26_mdl__small_ver1

in_car_commands_26_mdl__small_ver1