learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 2025
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
0.1713	1.0	447	1.5784	0.6209	0.6884	0.6529
0.1871	2.0	894	1.6753	0.6399	0.6630	0.6512
0.1613	3.0	1341	1.8808	0.6084	0.6304	0.6192
0.1367	4.0	1788	2.2017	0.6164	0.7101	0.6599
0.1101	5.0	2235	2.2647	0.6245	0.5725	0.5974
0.0603	6.0	2682	2.1269	0.6280	0.6667	0.6467
0.0642	7.0	3129	2.4185	0.5971	0.7355	0.6591
0.0757	8.0	3576	2.3896	0.6167	0.6703	0.6424
0.042	9.0	4023	2.1657	0.6295	0.6341	0.6318
0.0506	10.0	4470	2.5379	0.6254	0.7138	0.6667
0.0184	11.0	4917	2.7895	0.6171	0.7065	0.6588
0.0257	12.0	5364	2.9373	0.6246	0.6993	0.6598
0.003	13.0	5811	3.1143	0.6213	0.6775	0.6482
0.0248	14.0	6258	3.0020	0.6287	0.6993	0.6621
0.0002	15.0	6705	3.0203	0.6238	0.7029	0.6610

maud-dr/baseline_1-seed_2025

baseline_1-seed_2025