learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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

Training Loss	Epoch	Step	Validation Loss	F1 Task1	F1 Task2	Acc Task1	Acc Task2	F1	F1 Macro
1.6340	1.0	275	1.2347	0.9871	0.2939	0.9927	0.5834	0.6405	0.6405
1.0585	2.0	550	0.9700	0.9898	0.5208	0.9943	0.6823	0.7553	0.7553
0.8066	3.0	825	0.9386	0.9852	0.6708	0.9916	0.7146	0.8280	0.8280
0.6469	4.0	1100	0.8487	0.9923	0.6977	0.9957	0.7294	0.8450	0.8450
0.5103	5.0	1375	0.8253	0.9887	0.7354	0.9936	0.7532	0.8620	0.8620
0.3982	6.0	1650	0.8406	0.9891	0.7503	0.9939	0.7546	0.8697	0.8697
0.3155	7.0	1925	0.8892	0.9891	0.7520	0.9939	0.7501	0.8705	0.8705
0.2617	8.0	2200	0.9669	0.9895	0.7513	0.9941	0.7503	0.8704	0.8704
0.2198	9.0	2475	0.9501	0.9899	0.7630	0.9943	0.7562	0.8764	0.8764
0.1932	10.0	2750	0.9761	0.9899	0.7639	0.9943	0.7585	0.8769	0.8769

RonTon05/MTL_Full_Finetuning

MTL_Full_Finetuning