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
0.4847	1.0	745	0.4469	0.7088	0.5811	0.6386
0.364	2.0	1490	0.4663	0.7057	0.5563	0.6222
0.3553	3.0	2235	0.5744	0.6390	0.6937	0.6652
0.228	4.0	2980	1.1159	0.6452	0.6104	0.6273
0.1557	5.0	3725	1.3220	0.6505	0.5450	0.5931
0.1563	6.0	4470	1.1941	0.6569	0.6081	0.6316
0.0574	7.0	5215	1.2020	0.6256	0.6396	0.6325
0.0786	8.0	5960	1.6463	0.6063	0.6486	0.6268
0.0702	9.0	6705	1.4346	0.6733	0.6126	0.6415
0.0635	10.0	7450	1.6357	0.6191	0.6554	0.6368
0.0474	11.0	8195	1.7221	0.6667	0.5676	0.6131
0.0368	12.0	8940	1.7971	0.6276	0.6149	0.6212
0.0209	13.0	9685	1.8271	0.6225	0.6351	0.6288
0.0316	14.0	10430	1.8204	0.6313	0.6171	0.6241
0.0058	15.0	11175	1.8972	0.6325	0.6396	0.6361

maud-dr/model_2_stage3-seed_42

model_2_stage3-seed_42