learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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	Macro F1	Weighted F1	Accuracy
0.4592	0.4840	500	0.4634	0.5938	0.7383	0.7330
0.2541	0.9681	1000	0.3037	0.6894	0.8289	0.8264
0.1975	1.4521	1500	0.3295	0.7422	0.8453	0.8458
0.1439	1.9361	2000	0.2862	0.7455	0.8511	0.8488
0.1674	2.4201	2500	0.2982	0.7427	0.8633	0.8629
0.1932	2.9042	3000	0.2622	0.7373	0.8593	0.8589
0.1468	3.3882	3500	0.3017	0.7825	0.8622	0.8627
0.0525	3.8722	4000	0.3540	0.7629	0.8622	0.8602
0.0977	4.3562	4500	0.3557	0.7677	0.8598	0.8572
0.0696	4.8403	5000	0.3595	0.7766	0.8732	0.8728

AceVikings/deberta-category

deberta-category