learning_rate: 0.0003
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	Precision	Recall	F1
0.7008	1.0	447	0.7467	0.4473	1.0	0.6181
0.6933	2.0	894	0.6963	0.45	0.9783	0.6164
0.6772	3.0	1341	0.6932	0.4820	0.8261	0.6088
0.6708	4.0	1788	0.7332	0.4637	0.7174	0.5633
0.6384	5.0	2235	0.8510	0.4468	0.6087	0.5153
0.6096	6.0	2682	0.9629	0.4371	0.4783	0.4567
0.5706	7.0	3129	1.4994	0.4115	0.5978	0.4874
0.5401	8.0	3576	1.6980	0.3933	0.5072	0.4430
0.4697	9.0	4023	2.2275	0.3797	0.4348	0.4054
0.4824	10.0	4470	2.5809	0.3933	0.4674	0.4272
0.4379	11.0	4917	2.6967	0.3742	0.4420	0.4053
0.4328	12.0	5364	2.9542	0.3683	0.4457	0.4033
0.4116	13.0	5811	3.2770	0.3705	0.4094	0.3890
0.3725	14.0	6258	3.3860	0.3543	0.3877	0.3702
0.3673	15.0	6705	3.7534	0.3541	0.3913	0.3718

maud-dr/baseline_3-seed_42

baseline_3-seed_42