learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.8629	0.0616	200	0.8580
0.7844	0.1233	400	0.8019
0.7311	0.1849	600	0.7703
0.7329	0.2465	800	0.7493
0.7079	0.3082	1000	0.7341
0.6902	0.3698	1200	0.7232
0.6888	0.4314	1400	0.7133
0.6997	0.4931	1600	0.7049
0.6709	0.5547	1800	0.6994
0.6591	0.6163	2000	0.6946
0.6728	0.6780	2200	0.6895
0.6629	0.7396	2400	0.6857
0.6489	0.8012	2600	0.6828
0.6513	0.8629	2800	0.6793
0.6334	0.9245	3000	0.6772
0.6405	0.9861	3200	0.6761
0.6148	1.0	3245	0.6759

ohthisischichi/viet-cultural-qa-qwen2.5-lora

viet-cultural-qa-qwen2.5-lora