Add tram-v2 training log

training.log

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+Epoch 1 avg loss 0.9911
+Epoch 1 | bbox mAP@0.5 0.2458 mAP@0.5:0.95 0.0812 | mask mAP@0.5 0.2529 mAP@0.5:0.95 0.0835
+New best at epoch 1: 0.0812
+Epoch 2 avg loss 0.4874
+Epoch 2 | bbox mAP@0.5 0.6717 mAP@0.5:0.95 0.2706 | mask mAP@0.5 0.5724 mAP@0.5:0.95 0.2776
+New best at epoch 2: 0.2706
+Epoch 3 avg loss 0.3523
+Epoch 3 | bbox mAP@0.5 0.7366 mAP@0.5:0.95 0.3507 | mask mAP@0.5 0.6282 mAP@0.5:0.95 0.3065
+New best at epoch 3: 0.3507
+Epoch 4 avg loss 0.2911
+Epoch 4 | bbox mAP@0.5 0.8664 mAP@0.5:0.95 0.4359 | mask mAP@0.5 0.6475 mAP@0.5:0.95 0.3213
+New best at epoch 4: 0.4359
+Epoch 5 avg loss 0.2486
+Epoch 5 | bbox mAP@0.5 0.8109 mAP@0.5:0.95 0.4285 | mask mAP@0.5 0.7229 mAP@0.5:0.95 0.3737
+Epoch 6 avg loss 0.2391
+Epoch 6 | bbox mAP@0.5 0.7981 mAP@0.5:0.95 0.4192 | mask mAP@0.5 0.7158 mAP@0.5:0.95 0.3319
+Epoch 7 avg loss 0.2028
+Epoch 7 | bbox mAP@0.5 0.8356 mAP@0.5:0.95 0.4819 | mask mAP@0.5 0.7540 mAP@0.5:0.95 0.3753
+New best at epoch 7: 0.4819
+Epoch 8 avg loss 0.1938
+Epoch 8 | bbox mAP@0.5 0.8654 mAP@0.5:0.95 0.4198 | mask mAP@0.5 0.6949 mAP@0.5:0.95 0.3500
+Epoch 9 avg loss 0.1802
+Epoch 9 | bbox mAP@0.5 0.7796 mAP@0.5:0.95 0.4611 | mask mAP@0.5 0.6979 mAP@0.5:0.95 0.3522
+Epoch 10 avg loss 0.1646
+Epoch 10 | bbox mAP@0.5 0.8741 mAP@0.5:0.95 0.5058 | mask mAP@0.5 0.6965 mAP@0.5:0.95 0.3701
+New best at epoch 10: 0.5058
+Epoch 11 avg loss 0.1657
+Epoch 11 | bbox mAP@0.5 0.8180 mAP@0.5:0.95 0.4924 | mask mAP@0.5 0.7228 mAP@0.5:0.95 0.3633
+Epoch 12 avg loss 0.1523
+Epoch 12 | bbox mAP@0.5 0.8791 mAP@0.5:0.95 0.5093 | mask mAP@0.5 0.7492 mAP@0.5:0.95 0.3841
+New best at epoch 12: 0.5093
+Epoch 13 avg loss 0.1389
+Epoch 13 | bbox mAP@0.5 0.7762 mAP@0.5:0.95 0.4596 | mask mAP@0.5 0.7008 mAP@0.5:0.95 0.3563
+Epoch 14 avg loss 0.1392
+Epoch 14 | bbox mAP@0.5 0.8276 mAP@0.5:0.95 0.4985 | mask mAP@0.5 0.7660 mAP@0.5:0.95 0.3832
+Epoch 15 avg loss 0.1373
+Epoch 15 | bbox mAP@0.5 0.8421 mAP@0.5:0.95 0.4800 | mask mAP@0.5 0.7212 mAP@0.5:0.95 0.3877
+Epoch 16 avg loss 0.1294
+Epoch 16 | bbox mAP@0.5 0.8326 mAP@0.5:0.95 0.4979 | mask mAP@0.5 0.7537 mAP@0.5:0.95 0.4136
+Epoch 17 avg loss 0.1258
+Epoch 17 | bbox mAP@0.5 0.8667 mAP@0.5:0.95 0.5254 | mask mAP@0.5 0.8337 mAP@0.5:0.95 0.4128
+New best at epoch 17: 0.5254
+Epoch 18 avg loss 0.1305
+Epoch 18 | bbox mAP@0.5 0.8274 mAP@0.5:0.95 0.4877 | mask mAP@0.5 0.7238 mAP@0.5:0.95 0.3943
+Epoch 19 avg loss 0.1191
+Epoch 19 | bbox mAP@0.5 0.8344 mAP@0.5:0.95 0.5330 | mask mAP@0.5 0.7896 mAP@0.5:0.95 0.4077
+New best at epoch 19: 0.5330
+Epoch 20 avg loss 0.1273
+Epoch 20 | bbox mAP@0.5 0.8465 mAP@0.5:0.95 0.4934 | mask mAP@0.5 0.7795 mAP@0.5:0.95 0.3870
+Epoch 21 avg loss 0.1206
+Epoch 21 | bbox mAP@0.5 0.8595 mAP@0.5:0.95 0.4924 | mask mAP@0.5 0.7641 mAP@0.5:0.95 0.3935
+Epoch 22 avg loss 0.1107
+Epoch 22 | bbox mAP@0.5 0.8851 mAP@0.5:0.95 0.5138 | mask mAP@0.5 0.8334 mAP@0.5:0.95 0.3972
+Epoch 23 avg loss 0.1121
+Epoch 23 | bbox mAP@0.5 0.8022 mAP@0.5:0.95 0.4823 | mask mAP@0.5 0.7237 mAP@0.5:0.95 0.3863
+Epoch 24 avg loss 0.1655
+Epoch 24 | bbox mAP@0.5 0.8862 mAP@0.5:0.95 0.5060 | mask mAP@0.5 0.7603 mAP@0.5:0.95 0.3821
+Epoch 25 avg loss 0.1658
+Epoch 25 | bbox mAP@0.5 0.8349 mAP@0.5:0.95 0.5271 | mask mAP@0.5 0.7333 mAP@0.5:0.95 0.4006
+Epoch 26 avg loss 0.1348
+Epoch 26 | bbox mAP@0.5 0.8337 mAP@0.5:0.95 0.4895 | mask mAP@0.5 0.6925 mAP@0.5:0.95 0.3831
+Epoch 27 avg loss 0.1112
+Epoch 27 | bbox mAP@0.5 0.8356 mAP@0.5:0.95 0.5496 | mask mAP@0.5 0.7538 mAP@0.5:0.95 0.4244
+New best at epoch 27: 0.5496
+Epoch 28 avg loss 0.1046
+Epoch 28 | bbox mAP@0.5 0.8303 mAP@0.5:0.95 0.5104 | mask mAP@0.5 0.8341 mAP@0.5:0.95 0.4119
+Epoch 29 avg loss 0.0986
+Epoch 29 | bbox mAP@0.5 0.8287 mAP@0.5:0.95 0.5043 | mask mAP@0.5 0.7534 mAP@0.5:0.95 0.4094
+Epoch 30 avg loss 0.1004
+Epoch 30 | bbox mAP@0.5 0.8494 mAP@0.5:0.95 0.5284 | mask mAP@0.5 0.7698 mAP@0.5:0.95 0.4127
+Epoch 31 avg loss 0.1022
+Epoch 31 | bbox mAP@0.5 0.8561 mAP@0.5:0.95 0.5376 | mask mAP@0.5 0.8160 mAP@0.5:0.95 0.4158
+Epoch 32 avg loss 0.1034
+Epoch 32 | bbox mAP@0.5 0.8307 mAP@0.5:0.95 0.5229 | mask mAP@0.5 0.7851 mAP@0.5:0.95 0.4199
+Epoch 33 avg loss 0.0972
+Epoch 33 | bbox mAP@0.5 0.8251 mAP@0.5:0.95 0.5163 | mask mAP@0.5 0.7787 mAP@0.5:0.95 0.4260
+Epoch 34 avg loss 0.0983
+Epoch 34 | bbox mAP@0.5 0.8246 mAP@0.5:0.95 0.5454 | mask mAP@0.5 0.8394 mAP@0.5:0.95 0.4228
+Epoch 35 avg loss 0.0969
+Epoch 35 | bbox mAP@0.5 0.8489 mAP@0.5:0.95 0.5344 | mask mAP@0.5 0.8411 mAP@0.5:0.95 0.4203
+Epoch 36 avg loss 0.0951
+Epoch 36 | bbox mAP@0.5 0.8347 mAP@0.5:0.95 0.5231 | mask mAP@0.5 0.7956 mAP@0.5:0.95 0.4144
+Epoch 37 avg loss 0.0957
+Epoch 37 | bbox mAP@0.5 0.8358 mAP@0.5:0.95 0.5258 | mask mAP@0.5 0.8082 mAP@0.5:0.95 0.4003
+Epoch 38 avg loss 0.0934
+Epoch 38 | bbox mAP@0.5 0.8299 mAP@0.5:0.95 0.5184 | mask mAP@0.5 0.8418 mAP@0.5:0.95 0.4210
+Epoch 39 avg loss 0.0924
+Epoch 39 | bbox mAP@0.5 0.8361 mAP@0.5:0.95 0.5158 | mask mAP@0.5 0.7072 mAP@0.5:0.95 0.3773
+Epoch 40 avg loss 0.0966
+Epoch 40 | bbox mAP@0.5 0.8466 mAP@0.5:0.95 0.5266 | mask mAP@0.5 0.8026 mAP@0.5:0.95 0.4125
+Epoch 41 avg loss 0.0946
+Epoch 41 | bbox mAP@0.5 0.8417 mAP@0.5:0.95 0.5300 | mask mAP@0.5 0.7943 mAP@0.5:0.95 0.3991
+Epoch 42 avg loss 0.0925
+Epoch 42 | bbox mAP@0.5 0.8550 mAP@0.5:0.95 0.5236 | mask mAP@0.5 0.7331 mAP@0.5:0.95 0.4013
+Epoch 43 avg loss 0.0922
+Epoch 43 | bbox mAP@0.5 0.8398 mAP@0.5:0.95 0.5188 | mask mAP@0.5 0.7395 mAP@0.5:0.95 0.4054
+Epoch 44 avg loss 0.0925
+Epoch 44 | bbox mAP@0.5 0.8294 mAP@0.5:0.95 0.5191 | mask mAP@0.5 0.7964 mAP@0.5:0.95 0.4082
+Epoch 45 avg loss 0.0890
+Epoch 45 | bbox mAP@0.5 0.8264 mAP@0.5:0.95 0.4839 | mask mAP@0.5 0.7091 mAP@0.5:0.95 0.3962
+Epoch 46 avg loss 0.0846
+Epoch 46 | bbox mAP@0.5 0.8378 mAP@0.5:0.95 0.5322 | mask mAP@0.5 0.7858 mAP@0.5:0.95 0.4140
+Epoch 47 avg loss 0.0839
+Epoch 47 | bbox mAP@0.5 0.8302 mAP@0.5:0.95 0.5230 | mask mAP@0.5 0.8113 mAP@0.5:0.95 0.4148
+Early stop at epoch 47 (patience 20)
+Best: epoch 27 bbox mAP@0.5:0.95 0.5496