learning_rate: 0.0003
train_batch_size: 2
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.6596	0.5362	200	0.7025	0.1633	0.3719
0.5722	1.0724	400	0.6537	0.1549	0.3569
0.5542	1.6086	600	0.6368	0.1519	0.3518
0.5215	2.1448	800	0.6442	0.1535	0.3566
0.4808	2.6810	1000	0.6213	0.1483	0.3447
0.4893	3.2172	1200	0.6082	0.1484	0.3395
0.4566	3.7534	1400	0.6005	0.1456	0.3407
0.4779	4.2895	1600	0.5993	0.1465	0.3396
0.442	4.8257	1800	0.5913	0.1439	0.3363

ctaguchi/ssc-led-mms-model-mix-adapt-max-lowlr

ssc-led-mms-model-mix-adapt-max-lowlr