learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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_ratio: 0.06
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Accuracy Balanced	F1 Macro	F1 Weighted	Precision Macro	Recall Macro	Precision Weighted	Recall Weighted	Mcc	F1 Class0	Precision Class0	Recall Class0	F1 Class1	Precision Class1	Recall Class1	F1 Class2	Precision Class2	Recall Class2	Roc Auc Ovr Macro
0.4944	1.0	1570	0.4513	0.8354	0.7964	0.8027	0.8352	0.8145	0.7964	0.8390	0.8354	0.7175	0.7172	0.7774	0.6656	0.8210	0.7721	0.8767	0.8698	0.8939	0.8469	0.9445
0.4003	2.0	3140	0.5297	0.8424	0.7901	0.8012	0.8413	0.8178	0.7901	0.8427	0.8424	0.7259	0.6964	0.7719	0.6344	0.8228	0.7915	0.8568	0.8845	0.8900	0.8790	0.9480
0.31	3.0	4710	0.6586	0.8465	0.8062	0.8165	0.8444	0.8318	0.8062	0.8481	0.8465	0.7318	0.7528	0.7687	0.7375	0.8121	0.8824	0.7522	0.8845	0.8441	0.9289	0.9459
0.2306	4.0	6280	0.7346	0.8510	0.8196	0.8228	0.8508	0.8262	0.8196	0.8506	0.8510	0.7409	0.7548	0.7695	0.7406	0.8277	0.8249	0.8304	0.8861	0.8843	0.8879	0.9478

mljn/mdeberta-v3-base-finetuned-temporal_focus-classification

mdeberta-v3-base-finetuned-temporal_focus-classification