learning_rate: 1e-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

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	Auc
0.7008	1.0	289	0.6600	0.416	0.303	0.925	0.645
0.6727	2.0	578	0.6590	0.402	0.298	0.934	0.646
0.6741	3.0	867	0.6544	0.483	0.32	0.849	0.648
0.6728	4.0	1156	0.6532	0.465	0.316	0.875	0.648
0.6702	5.0	1445	0.6518	0.476	0.318	0.856	0.65
0.67	6.0	1734	0.6514	0.476	0.318	0.856	0.651
0.6694	7.0	2023	0.6512	0.492	0.323	0.843	0.653
0.6706	8.0	2312	0.6507	0.485	0.32	0.846	0.653
0.6709	9.0	2601	0.6504	0.484	0.32	0.846	0.653
0.6685	10.0	2890	0.6504	0.484	0.32	0.846	0.653

aayush7511/DeBertaStoryOnly

DeBertaStoryOnly