Datasets:
pyushkevich
/
crashs_template_package

Dataset card Data Studio Files
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1.22k
2023-08-02 22:49:31.770142: Epoch 47
2023-08-02 22:49:31.770222: Current learning rate: 0.00894
2023-08-02 22:50:34.219170: train_loss -0.9053
2023-08-02 22:50:34.219313: val_loss -0.8921
2023-08-02 22:50:34.219354: Pseudo dice [0.9115]
2023-08-02 22:50:34.219399: Epoch time: 62.45 s
2023-08-02 22:50:34.219437: Yayy! New best EMA pseudo Dice: 0.9068
2023-08-02 22:50:36.240954:
2023-08-02 22:50:36.241062: Epoch 48
2023-08-02 22:50:36.241141: Current learning rate: 0.00891
2023-08-02 22:51:38.718484: train_loss -0.9009
2023-08-02 22:51:38.718625: val_loss -0.8916
2023-08-02 22:51:38.718664: Pseudo dice [0.9099]
2023-08-02 22:51:38.718709: Epoch time: 62.48 s
2023-08-02 22:51:38.718747: Yayy! New best EMA pseudo Dice: 0.9071
2023-08-02 22:51:40.672300:
2023-08-02 22:51:40.672404: Epoch 49
2023-08-02 22:51:40.672487: Current learning rate: 0.00889
2023-08-02 22:52:43.145637: train_loss -0.9054
2023-08-02 22:52:43.145785: val_loss -0.8895
2023-08-02 22:52:43.145827: Pseudo dice [0.9085]
2023-08-02 22:52:43.145874: Epoch time: 62.47 s
2023-08-02 22:52:43.334378: Yayy! New best EMA pseudo Dice: 0.9072
2023-08-02 22:52:45.399975:
2023-08-02 22:52:45.400078: Epoch 50
2023-08-02 22:52:45.400159: Current learning rate: 0.00887
2023-08-02 22:53:47.858791: train_loss -0.908
2023-08-02 22:53:47.858930: val_loss -0.8906
2023-08-02 22:53:47.858969: Pseudo dice [0.9095]
2023-08-02 22:53:47.859013: Epoch time: 62.46 s
2023-08-02 22:53:47.859051: Yayy! New best EMA pseudo Dice: 0.9075
2023-08-02 22:53:49.929272:
2023-08-02 22:53:49.929376: Epoch 51
2023-08-02 22:53:49.929458: Current learning rate: 0.00884
2023-08-02 22:54:52.402762: train_loss -0.9079
2023-08-02 22:54:52.402889: val_loss -0.896
2023-08-02 22:54:52.402931: Pseudo dice [0.9142]
2023-08-02 22:54:52.402976: Epoch time: 62.47 s
2023-08-02 22:54:52.403014: Yayy! New best EMA pseudo Dice: 0.9081
2023-08-02 22:54:54.519235:
2023-08-02 22:54:54.519338: Epoch 52
2023-08-02 22:54:54.519417: Current learning rate: 0.00882
2023-08-02 22:55:56.964501: train_loss -0.909
2023-08-02 22:55:56.964641: val_loss -0.8909
2023-08-02 22:55:56.964682: Pseudo dice [0.9086]
2023-08-02 22:55:56.964729: Epoch time: 62.45 s
2023-08-02 22:55:56.964767: Yayy! New best EMA pseudo Dice: 0.9082
2023-08-02 22:55:58.991654:
2023-08-02 22:55:58.991767: Epoch 53
2023-08-02 22:55:58.991855: Current learning rate: 0.0088
2023-08-02 22:57:01.469839: train_loss -0.9071
2023-08-02 22:57:01.469975: val_loss -0.8928
2023-08-02 22:57:01.470016: Pseudo dice [0.9117]
2023-08-02 22:57:01.470060: Epoch time: 62.48 s
2023-08-02 22:57:01.470098: Yayy! New best EMA pseudo Dice: 0.9085
2023-08-02 22:57:03.463774:
2023-08-02 22:57:03.463876: Epoch 54
2023-08-02 22:57:03.463953: Current learning rate: 0.00878
2023-08-02 22:58:05.936125: train_loss -0.9097
2023-08-02 22:58:05.936266: val_loss -0.8952
2023-08-02 22:58:05.936307: Pseudo dice [0.914]
2023-08-02 22:58:05.936352: Epoch time: 62.47 s
2023-08-02 22:58:05.936388: Yayy! New best EMA pseudo Dice: 0.9091
2023-08-02 22:58:08.083780:
2023-08-02 22:58:08.083876: Epoch 55
2023-08-02 22:58:08.083967: Current learning rate: 0.00875
2023-08-02 22:59:10.553650: train_loss -0.9096
2023-08-02 22:59:10.553787: val_loss -0.889
2023-08-02 22:59:10.553828: Pseudo dice [0.909]
2023-08-02 22:59:10.553885: Epoch time: 62.47 s
2023-08-02 22:59:11.323336:
2023-08-02 22:59:11.323430: Epoch 56
2023-08-02 22:59:11.323511: Current learning rate: 0.00873
2023-08-02 23:00:13.779479: train_loss -0.9067
2023-08-02 23:00:13.779619: val_loss -0.8951
2023-08-02 23:00:13.779660: Pseudo dice [0.9144]
2023-08-02 23:00:13.779706: Epoch time: 62.46 s
2023-08-02 23:00:13.779744: Yayy! New best EMA pseudo Dice: 0.9096
2023-08-02 23:00:15.938905:
2023-08-02 23:00:15.939012: Epoch 57
2023-08-02 23:00:15.939094: Current learning rate: 0.00871
2023-08-02 23:01:18.371518: train_loss -0.9097
2023-08-02 23:01:18.371682: val_loss -0.8909
2023-08-02 23:01:18.371731: Pseudo dice [0.9088]
2023-08-02 23:01:18.371784: Epoch time: 62.43 s
2023-08-02 23:01:19.132069:
2023-08-02 23:01:19.132174: Epoch 58
2023-08-02 23:01:19.132254: Current learning rate: 0.00868
2023-08-02 23:02:21.567863: train_loss -0.9123
2023-08-02 23:02:21.567999: val_loss -0.8959
2023-08-02 23:02:21.568040: Pseudo dice [0.9135]
2023-08-02 23:02:21.568085: Epoch time: 62.44 s
2023-08-02 23:02:21.568123: Yayy! New best EMA pseudo Dice: 0.9099
2023-08-02 23:02:23.606938:
2023-08-02 23:02:23.607039: Epoch 59
2023-08-02 23:02:23.607117: Current learning rate: 0.00866
2023-08-02 23:03:26.027179: train_loss -0.9124
2023-08-02 23:03:26.027323: val_loss -0.8933
2023-08-02 23:03:26.027363: Pseudo dice [0.9128]
2023-08-02 23:03:26.027408: Epoch time: 62.42 s