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
No log	1.0	1	5.0038	45.1613
No log	2.0	2	5.0038	46.4516
No log	3.0	3	5.0038	46.4516
No log	4.0	4	5.0038	46.4516
No log	5.0	5	5.0038	46.4516
No log	6.0	6	5.0038	46.4516
No log	7.0	7	5.0045	46.4516
No log	8.0	8	5.0021	46.4516
No log	9.0	9	4.9989	46.4516
No log	10.0	10	4.9884	46.4516

Angeriod/in_car_commands_26_mdl__tiny_ver1

in_car_commands_26_mdl__tiny_ver1