[c9a8d6]: / scores / unet.csv

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# epoch train_loss train_dice train_jaccard dice_score jaccard_score
1 0 0.8395008487701416 -0.85965294 tensor(0.2867) tensor(0.3207) tensor(0.2486)
2 1 0.7851073298454284 -0.47559056 tensor(0.4688) tensor(0.3254) tensor(0.2467)
3 2 0.7333481473922729 -0.38697508 tensor(0.5245) tensor(0.4927) tensor(0.3921)
4 3 0.6831272077560425 -0.31789806 tensor(0.5275) tensor(0.4796) tensor(nan)
5 4 0.5967469100952149 -0.28215054 tensor(0.6183) tensor(0.5077) tensor(nan)
6 5 0.5265279211997986 -0.24453 tensor(0.6345) tensor(0.5403) tensor(0.4528)
7 6 0.44859713125228884 -0.2258362 tensor(0.6965) tensor(0.4793) tensor(nan)
8 7 0.38295484590530393 -0.20548905 tensor(0.7044) tensor(0.5473) tensor(nan)
9 8 0.33020151281356813 -0.19444004 tensor(0.7237) tensor(0.5087) tensor(nan)
10 9 0.28301760435104373 -0.18118209 tensor(0.7287) tensor(0.5633) tensor(nan)
11 10 0.2553278064727783 -0.17179355 tensor(0.7393) tensor(0.5190) tensor(nan)
12 11 0.22362949419021608 -0.1688661 tensor(0.7502) tensor(0.5172) tensor(nan)
13 12 0.20921912670135498 -0.1643432 tensor(0.7597) tensor(0.4999) tensor(nan)
14 13 0.19409466314315796 -0.1596474 tensor(0.7620) tensor(0.5458) tensor(nan)
15 14 0.17870934820175172 -0.16000487 tensor(0.7721) tensor(0.5370) tensor(nan)
16 15 0.16534146547317505 -0.15440528 tensor(0.7737) tensor(0.5069) tensor(nan)
17 16 0.17167113828659059 -0.15159045 tensor(0.7646) tensor(0.5316) tensor(nan)
18 17 0.1583272442817688 -0.15224938 tensor(0.7758) tensor(0.5316) tensor(nan)
19 18 0.1637869563102722 -0.1492791 tensor(0.7619) tensor(0.5897) tensor(nan)
20 19 0.14642313718795777 -0.14787896 tensor(0.7759) tensor(0.5502) tensor(nan)
21 20 0.14138494968414306 -0.1460664 tensor(0.7802) tensor(0.5258) tensor(nan)
22 21 0.13782876443862915 -0.14561822 tensor(0.7803) tensor(0.5790) tensor(nan)
23 22 0.1426486358642578 -0.14063062 tensor(0.7726) tensor(0.5439) tensor(nan)
24 23 0.14320292901992798 -0.13975821 tensor(0.7696) tensor(0.5909) tensor(nan)
25 24 0.1358325490951538 -0.14334027 tensor(0.7850) tensor(0.5118) tensor(nan)
26 25 0.1440613808631897 -0.13897021 tensor(0.7727) tensor(0.5090) tensor(nan)
27 26 0.1385443525314331 -0.13723566 tensor(0.7737) tensor(0.5264) tensor(nan)
28 27 0.12445961189270019 -0.1337108 tensor(0.7933) tensor(0.5401) tensor(nan)
29 28 0.11611422491073609 -0.13379483 tensor(0.8084) tensor(0.5646) tensor(nan)
30 29 0.12590873289108276 -0.12936318 tensor(0.7935) tensor(0.5198) tensor(nan)
31 30 0.13022417211532591 -0.12408691 tensor(0.7799) tensor(0.5397) tensor(nan)
32 31 0.12468928098678589 -0.124325775 tensor(0.7929) tensor(0.5393) tensor(nan)
33 32 0.11598977994918823 -0.12491445 tensor(0.7966) tensor(0.5248) tensor(nan)
34 33 0.11568081855773926 -0.12295189 tensor(nan) tensor(0.5397) tensor(nan)
35 34 0.11472312355041504 -0.12492661 tensor(0.8054) tensor(0.5152) tensor(nan)
36 35 0.11744928073883057 -0.124324694 tensor(0.8015) tensor(0.5265) tensor(nan)
37 36 0.10981095647811889 -0.12394306 tensor(0.8120) tensor(0.5209) tensor(nan)
38 37 0.12253737640380859 -0.11872107 tensor(0.7927) tensor(0.5424) tensor(nan)
39 38 0.10573611879348754 -0.11970564 tensor(0.8084) tensor(0.5299) tensor(nan)
40 39 0.10883857154846191 -0.11951385 tensor(0.8118) tensor(0.5826) tensor(nan)
41 40 0.1180907850265503 -0.11209054 tensor(0.7902) tensor(0.5186) tensor(nan)
42 41 0.12043192863464355 -0.11135433 tensor(0.7865) tensor(0.4241) tensor(nan)
43 42 0.11047341918945312 -0.11580649 tensor(0.8077) tensor(0.5821) tensor(nan)
44 43 0.10485198974609375 -0.113946065 tensor(nan) tensor(0.6002) tensor(nan)
45 44 0.11093326091766358 -0.114163294 tensor(0.8093) tensor(0.5159) tensor(nan)
46 45 0.11521493196487427 -0.11122295 tensor(0.7947) tensor(0.5867) tensor(nan)
47 46 0.12079109048843384 -0.10895595 tensor(0.7859) tensor(0.5935) tensor(nan)
48 47 0.10685955762863159 -0.11343175 tensor(0.8093) tensor(0.5279) tensor(nan)
49 48 0.10650016593933105 -0.11303938 tensor(0.8068) tensor(0.5744) tensor(nan)
50 49 0.11919551658630372 -0.10826835 tensor(0.7885) tensor(0.5369) tensor(nan)