learning_rate: 0.001
train_batch_size: 2
eval_batch_size: 8
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
0.2793	0.5579	200	0.2131	0.0742	0.4136
0.2597	1.1144	400	0.2044	0.0752	0.4150
0.2649	1.6722	600	0.1958	0.0722	0.4004
0.259	2.2287	800	0.1909	0.0712	0.3978
0.2284	2.7866	1000	0.1912	0.0707	0.3946
0.2333	3.3431	1200	0.1899	0.0712	0.3981
0.2096	3.9010	1400	0.1867	0.0700	0.3902
0.2226	4.4575	1600	0.1838	0.0697	0.3887

ctaguchi/ssc-ttj-mms-model-mix-adapt-max

ssc-ttj-mms-model-mix-adapt-max