learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 15

Training Loss	Epoch	Step	Validation Loss	F1-micro	F1-macro	Jaccard
No log	1.0	7	0.6044	0.7908	0.7281	0.6838
No log	2.0	14	0.5586	0.8010	0.7369	0.6947
No log	3.0	21	0.5412	0.8010	0.7369	0.6947
No log	4.0	28	0.5293	0.8010	0.7369	0.6947
No log	5.0	35	0.5149	0.8010	0.7369	0.6947
No log	6.0	42	0.5050	0.81	0.7527	0.7087
No log	7.0	49	0.4927	0.8170	0.7660	0.7212
No log	8.0	56	0.4856	0.82	0.7749	0.7243
No log	9.0	63	0.4770	0.8221	0.7768	0.7290
No log	10.0	70	0.4679	0.8279	0.7930	0.7336
No log	11.0	77	0.4615	0.835	0.8044	0.7461
No log	12.0	84	0.4545	0.8392	0.8128	0.7523
No log	13.0	91	0.4512	0.845	0.8254	0.7586
No log	14.0	98	0.4496	0.85	0.8331	0.7664
0.4157	15.0	105	0.4492	0.85	0.8331	0.7664

Hashuz/AS_MentalQAU

results