learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	F1 Pro	F1 Against	F1 Neutral
0.9663	1.1628	50	0.7450	0.7143	0.7149	0.7149	0.7216	0.7101	0.7129
0.5286	2.3256	100	0.6924	0.7381	0.7381	0.7379	0.7586	0.7179	0.7379
0.2872	3.4884	150	0.7109	0.7619	0.7620	0.7628	0.7677	0.7769	0.7414
0.1544	4.6512	200	0.9794	0.7679	0.7676	0.7677	0.7611	0.7742	0.7677
0.1275	5.8140	250	1.1354	0.7619	0.7626	0.7622	0.7748	0.7438	0.7692
0.0587	6.9767	300	1.1990	0.7917	0.7921	0.7917	0.7850	0.7874	0.8039
0.0195	8.1395	350	1.3248	0.7738	0.7744	0.7738	0.7719	0.7627	0.7885
0.0241	9.3023	400	1.3347	0.7798	0.7803	0.7799	0.7719	0.7769	0.7921

aomar85/StanceNakba-EXP8

MARBERT-fold5