Training Loss	Epoch	Step	Validation Loss	Accuracy	Weighted f1	Micro f1	Macro f1	Weighted recall	Micro recall	Macro recall	Weighted precision	Micro precision	Macro precision
0.3829	1.0	1	1.0584	0.5	0.3333	0.5	0.3333	0.5	0.5	0.5	0.25	0.5	0.25
0.3829	2.0	2	1.2877	0.25	0.2	0.25	0.2	0.25	0.25	0.25	0.1667	0.25	0.1667
0.3829	3.0	3	2.2985	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3829	4.0	4	2.4998	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3829	5.0	5	2.2230	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3829	6.0	6	1.9467	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3829	7.0	7	1.7201	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	8.0	8	1.5736	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	9.0	9	1.5412	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	10.0	10	1.5484	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	11.0	11	1.5762	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	12.0	12	1.5907	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	13.0	13	1.6231	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	14.0	14	1.6462	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3628	15.0	15	1.6710	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3175	16.0	16	1.6883	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3175	17.0	17	1.6994	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.3175	18.0	18	1.6985	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

mateoluksenberg/Seed_Classifier_V2

Seed_Classifier_V2