learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.5453	0.9933	112	0.3860	0.8277	0.8311	0.8314	0.8277
1.0577	1.9933	224	0.2918	0.8777	0.8843	0.8731	0.8757
0.6143	2.9933	336	0.3023	0.8876	0.8871	0.8888	0.8874
0.2438	3.9933	448	0.6792	0.8652	0.8714	0.8606	0.8630
0.063	4.9933	560	0.7500	0.8789	0.8817	0.8758	0.8776
0.052	5.9933	672	0.8892	0.8777	0.8832	0.8735	0.8758
0.0005	6.9933	784	0.9423	0.8801	0.8863	0.8758	0.8783
0.0002	7.9933	896	0.8404	0.8752	0.8777	0.8722	0.8738
0.0	8.9933	1008	0.8774	0.8777	0.8823	0.8738	0.8760
0.0	9.9933	1120	0.8828	0.8777	0.8823	0.8738	0.8760

callmesan/ModernBERT-large-roman-urdu-binary

ModernBERT-large-roman-urdu-binary