learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 200
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Out Of Scope	F1 In Scope
0.1631	0.4982	275	0.1125	0.97	0.7760	0.5674	0.9845
0.0264	0.9964	550	0.1217	0.9787	0.8190	0.6489	0.9890
0.0167	1.4946	825	0.1408	0.9813	0.8266	0.6628	0.9904
0.0061	1.9928	1100	0.1509	0.9816	0.8460	0.7016	0.9905
0.0045	2.4909	1375	0.1817	0.9787	0.7803	0.5714	0.9891
0.0044	2.9891	1650	0.1642	0.9823	0.8346	0.6784	0.9909
0.0004	3.4873	1925	0.1997	0.9784	0.7783	0.5677	0.9889
0.0001	3.9855	2200	0.1902	0.9813	0.8457	0.7010	0.9903
0.0037	4.4837	2475	0.2113	0.9797	0.7942	0.5987	0.9896
0.0013	4.9819	2750	0.2232	0.9790	0.7794	0.5695	0.9893

yuv008/clinc-oos-distilbert-classifier

clinc-oos-distilbert-classifier