learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
num_epochs: 7
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu	Cer	Wer	F1
0.8639	1.0	573	0.0500	77.4679	0.0732	0.1532	0.9343
0.0666	2.0	1146	0.0325	84.8950	0.0513	0.1020	0.9600
0.0425	3.0	1719	0.0271	87.0135	0.0448	0.0893	0.9676
0.032	4.0	2292	0.0244	88.0650	0.0421	0.0825	0.9707
0.026	5.0	2865	0.0230	88.7480	0.0405	0.0781	0.9724
0.0217	6.0	3438	0.0224	89.0337	0.0394	0.0757	0.9746
0.0169	7.0	4011	0.0225	89.2375	0.0392	0.0749	0.9744

pqthinh232/HCMUS-vietnamese-correction

HCMUS-vietnamese-correction