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	39	0.4793	0.5859	0.4521	0.4773
No log	2.0	78	0.4556	0.5737	0.4510	0.4754
0.4791	3.0	117	0.4079	0.6209	0.4892	0.5413
0.4791	4.0	156	0.3969	0.5785	0.4580	0.5008
0.4791	5.0	195	0.3711	0.6526	0.5956	0.5738
0.3661	6.0	234	0.3866	0.6246	0.5735	0.5357
0.3661	7.0	273	0.3400	0.7123	0.6774	0.6405
0.2748	8.0	312	0.3415	0.7163	0.6823	0.6365
0.2748	9.0	351	0.3296	0.75	0.7204	0.6714
0.2748	10.0	390	0.3162	0.7735	0.7438	0.6984
0.2162	11.0	429	0.3174	0.7859	0.7613	0.7111
0.2162	12.0	468	0.3056	0.7847	0.7656	0.7222
0.1889	13.0	507	0.3217	0.7880	0.7681	0.7159
0.1889	14.0	546	0.3209	0.7847	0.7649	0.7111
0.1889	15.0	585	0.3179	0.7925	0.7727	0.7206

Hashuz/QT_MentalQA

results