learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 128
total_eval_batch_size: 128
optimizer: Use 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: 10.0

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0921	1.0	902	0.6758	0.7565	0.7654	0.8326	0.7082
0.0634	2.0	1804	0.7185	0.8174	0.8362	0.8414	0.8310
0.0212	3.0	2706	0.9475	0.7725	0.8024	0.7821	0.8238
0.0079	4.0	3608	1.2432	0.7445	0.7991	0.7149	0.9057
0.0021	5.0	4510	1.4449	0.8024	0.8339	0.7889	0.8843
0.0003	6.0	5412	1.3861	0.7934	0.8262	0.7822	0.8754
0.0001	7.0	6314	1.5118	0.7934	0.8265	0.7813	0.8772
0.0058	8.0	7216	1.8437	0.7475	0.8019	0.7161	0.9110
0.0002	9.0	8118	1.6242	0.7874	0.8253	0.7656	0.8950
0.0037	10.0	9020	1.5455	0.8204	0.8462	0.8141	0.8808

YWZBrandon/wikidyk-scope-clf-deberta-v3-large-1_cluster

wikidyk-scope-clf-deberta-v3-large-1_cluster