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Freate16
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glof-database

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train · 30 rows

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epoch int64 1 30	train_loss float64 0.03 0.21	val_loss float64 0.06 0.12	val_iou float64 0.68 0.83	learning_rate float64 0 0
1	0.208189	0.119026	0.683568	0.00005
2	0.09413	0.092784	0.719719	0.000049
3	0.077982	0.084946	0.761703	0.000049
4	0.074413	0.077967	0.764605	0.000048
5	0.067547	0.076875	0.761136	0.000047
6	0.064469	0.072011	0.768779	0.000045
7	0.061066	0.070237	0.783451	0.000044
8	0.057056	0.065875	0.776889	0.000042
9	0.054218	0.063563	0.796767	0.00004
10	0.052128	0.067202	0.792719	0.000038
11	0.05024	0.065248	0.792979	0.000035
12	0.048238	0.062513	0.790091	0.000033
13	0.046079	0.065037	0.80648	0.000031
14	0.044736	0.059623	0.815434	0.000028
15	0.042804	0.06214	0.809378	0.000026
16	0.04063	0.061834	0.815324	0.000023
17	0.039523	0.060619	0.811469	0.00002
18	0.037807	0.057726	0.821182	0.000018
19	0.036228	0.058527	0.816835	0.000016
20	0.035094	0.057451	0.825396	0.000013
21	0.034123	0.057062	0.826647	0.000011
22	0.033119	0.057554	0.828994	0.000009
23	0.03228	0.057536	0.826508	0.000007
24	0.031577	0.05718	0.829499	0.000006
25	0.031257	0.058584	0.831193	0.000004
26	0.03067	0.05855	0.831898	0.000003
27	0.030136	0.057691	0.833521	0.000002
28	0.030051	0.058583	0.833653	0.000002
29	0.029882	0.057925	0.832177	0.000001
30	0.029688	0.05762	0.831948	0.000001

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