run stringclasses 1
value | tag stringclasses 3
values | step int32 0 999 | ts_ms int64 1,767B 1,767B | value float64 0 2.5 |
|---|---|---|---|---|
training-run-001 | optimizer/lr | 66 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 67 | 1,766,757,945,909 | 1.976285 |
training-run-001 | train/accuracy | 67 | 1,766,757,945,909 | 0.596873 |
training-run-001 | optimizer/lr | 67 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 68 | 1,766,757,945,909 | 2.034052 |
training-run-001 | train/accuracy | 68 | 1,766,757,945,909 | 0.591974 |
training-run-001 | optimizer/lr | 68 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 69 | 1,766,757,945,909 | 2.062809 |
training-run-001 | train/accuracy | 69 | 1,766,757,945,909 | 0.581812 |
training-run-001 | optimizer/lr | 69 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 70 | 1,766,757,945,909 | 1.97746 |
training-run-001 | train/accuracy | 70 | 1,766,757,945,909 | 0.58373 |
training-run-001 | optimizer/lr | 70 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 71 | 1,766,757,945,909 | 1.967214 |
training-run-001 | train/accuracy | 71 | 1,766,757,945,909 | 0.589104 |
training-run-001 | optimizer/lr | 71 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 72 | 1,766,757,945,909 | 2.009903 |
training-run-001 | train/accuracy | 72 | 1,766,757,945,909 | 0.59771 |
training-run-001 | optimizer/lr | 72 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 73 | 1,766,757,945,909 | 2.021054 |
training-run-001 | train/accuracy | 73 | 1,766,757,945,909 | 0.592222 |
training-run-001 | optimizer/lr | 73 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 74 | 1,766,757,945,909 | 2.007319 |
training-run-001 | train/accuracy | 74 | 1,766,757,945,909 | 0.598744 |
training-run-001 | optimizer/lr | 74 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 75 | 1,766,757,945,909 | 2.029663 |
training-run-001 | train/accuracy | 75 | 1,766,757,945,909 | 0.589733 |
training-run-001 | optimizer/lr | 75 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 76 | 1,766,757,945,909 | 1.976286 |
training-run-001 | train/accuracy | 76 | 1,766,757,945,909 | 0.589185 |
training-run-001 | optimizer/lr | 76 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 77 | 1,766,757,945,909 | 2.014546 |
training-run-001 | train/accuracy | 77 | 1,766,757,945,909 | 0.602626 |
training-run-001 | optimizer/lr | 77 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 78 | 1,766,757,945,909 | 1.94019 |
training-run-001 | train/accuracy | 78 | 1,766,757,945,909 | 0.59595 |
training-run-001 | optimizer/lr | 78 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 79 | 1,766,757,945,909 | 1.976888 |
training-run-001 | train/accuracy | 79 | 1,766,757,945,909 | 0.590405 |
training-run-001 | optimizer/lr | 79 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 80 | 1,766,757,945,909 | 1.991457 |
training-run-001 | train/accuracy | 80 | 1,766,757,945,909 | 0.583235 |
training-run-001 | optimizer/lr | 80 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 81 | 1,766,757,945,909 | 1.918001 |
training-run-001 | train/accuracy | 81 | 1,766,757,945,909 | 0.5853 |
training-run-001 | optimizer/lr | 81 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 82 | 1,766,757,945,909 | 1.966785 |
training-run-001 | train/accuracy | 82 | 1,766,757,945,909 | 0.603939 |
training-run-001 | optimizer/lr | 82 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 83 | 1,766,757,945,909 | 1.964772 |
training-run-001 | train/accuracy | 83 | 1,766,757,945,909 | 0.604195 |
training-run-001 | optimizer/lr | 83 | 1,766,757,945,909 | 0.000093 |
training-run-001 | train/loss | 84 | 1,766,757,945,909 | 1.942937 |
training-run-001 | train/accuracy | 84 | 1,766,757,945,909 | 0.598615 |
training-run-001 | optimizer/lr | 84 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 85 | 1,766,757,945,909 | 1.96258 |
training-run-001 | train/accuracy | 85 | 1,766,757,945,909 | 0.610572 |
training-run-001 | optimizer/lr | 85 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 86 | 1,766,757,945,909 | 1.874141 |
training-run-001 | train/accuracy | 86 | 1,766,757,945,909 | 0.614267 |
training-run-001 | optimizer/lr | 86 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 87 | 1,766,757,945,909 | 1.906421 |
training-run-001 | train/accuracy | 87 | 1,766,757,945,909 | 0.605531 |
training-run-001 | optimizer/lr | 87 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 88 | 1,766,757,945,909 | 1.976404 |
training-run-001 | train/accuracy | 88 | 1,766,757,945,909 | 0.624951 |
training-run-001 | optimizer/lr | 88 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 89 | 1,766,757,945,909 | 1.924105 |
training-run-001 | train/accuracy | 89 | 1,766,757,945,909 | 0.606445 |
training-run-001 | optimizer/lr | 89 | 1,766,757,945,909 | 0.000092 |
training-run-001 | train/loss | 90 | 1,766,757,945,910 | 1.906917 |
training-run-001 | train/accuracy | 90 | 1,766,757,945,910 | 0.607 |
training-run-001 | optimizer/lr | 90 | 1,766,757,945,910 | 0.000092 |
training-run-001 | train/loss | 91 | 1,766,757,945,910 | 1.910536 |
training-run-001 | train/accuracy | 91 | 1,766,757,945,910 | 0.613763 |
training-run-001 | optimizer/lr | 91 | 1,766,757,945,910 | 0.000092 |
training-run-001 | train/loss | 92 | 1,766,757,945,910 | 1.869926 |
training-run-001 | train/accuracy | 92 | 1,766,757,945,910 | 0.589907 |
training-run-001 | optimizer/lr | 92 | 1,766,757,945,910 | 0.000092 |
training-run-001 | train/loss | 93 | 1,766,757,945,910 | 1.859025 |
training-run-001 | train/accuracy | 93 | 1,766,757,945,910 | 0.606722 |
training-run-001 | optimizer/lr | 93 | 1,766,757,945,910 | 0.000092 |
training-run-001 | train/loss | 94 | 1,766,757,945,910 | 1.796109 |
training-run-001 | train/accuracy | 94 | 1,766,757,945,910 | 0.603404 |
training-run-001 | optimizer/lr | 94 | 1,766,757,945,910 | 0.000092 |
training-run-001 | train/loss | 95 | 1,766,757,945,910 | 1.905366 |
training-run-001 | train/accuracy | 95 | 1,766,757,945,910 | 0.622188 |
training-run-001 | optimizer/lr | 95 | 1,766,757,945,910 | 0.000091 |
training-run-001 | train/loss | 96 | 1,766,757,945,910 | 1.878745 |
training-run-001 | train/accuracy | 96 | 1,766,757,945,910 | 0.612219 |
training-run-001 | optimizer/lr | 96 | 1,766,757,945,910 | 0.000091 |
training-run-001 | train/loss | 97 | 1,766,757,945,910 | 1.883462 |
training-run-001 | train/accuracy | 97 | 1,766,757,945,910 | 0.60095 |
training-run-001 | optimizer/lr | 97 | 1,766,757,945,910 | 0.000091 |
training-run-001 | train/loss | 98 | 1,766,757,945,910 | 1.905152 |
training-run-001 | train/accuracy | 98 | 1,766,757,945,910 | 0.608562 |
training-run-001 | optimizer/lr | 98 | 1,766,757,945,910 | 0.000091 |
training-run-001 | train/loss | 99 | 1,766,757,945,910 | 1.853301 |
training-run-001 | train/accuracy | 99 | 1,766,757,945,910 | 0.609637 |
training-run-001 | optimizer/lr | 99 | 1,766,757,945,910 | 0.000091 |
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