learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
16.0312	0.1996	79	0.1616	0.9823	0.9823	0.9829	0.9823	0.9803
0.0001	0.3992	158	0.1080	0.9882	0.9882	0.9884	0.9882	0.9890
0.0001	0.5989	237	0.0169	0.9985	0.9985	0.9985	0.9985	0.9984
0.0003	0.7985	316	0.0138	0.9985	0.9985	0.9985	0.9985	0.9984
0.0001	0.9981	395	0.0157	0.9985	0.9985	0.9985	0.9985	0.9984

MANMEET75/PaymentNonPayment-ModernBERT

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