learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
1.3921	1.0	226	0.6527	0.7536	0.7638	0.5844	0.6408
1.0981	2.0	452	0.3654	0.8711	0.8685	0.7538	0.7984
0.7117	3.0	678	0.1802	0.9495	0.9303	0.9237	0.9266
0.1786	4.0	904	0.0550	0.9849	0.9789	0.9766	0.9777
0.1302	5.0	1130	0.0168	0.9950	0.9928	0.9927	0.9927
0.0194	6.0	1356	0.0062	0.9983	0.9970	0.9969	0.9970
0.0178	7.0	1582	0.0019	0.9997	0.9998	0.9995	0.9996
0.0003	8.0	1808	0.0004	0.9999	0.9999	0.9996	0.9997
0.0	9.0	2034	0.0006	0.9999	0.9999	0.9996	0.9997
0.0	9.9579	2250	0.0003	0.9999	0.9999	0.9996	0.9997

callmesan/ModernBERT-large-roman-urdu-fine-grained

ModernBERT-large-roman-urdu-fine-grained