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 | train/loss | 0 | 1,766,757,945,908 | 2.466585 |
training-run-001 | train/accuracy | 0 | 1,766,757,945,908 | 0.500384 |
training-run-001 | optimizer/lr | 0 | 1,766,757,945,908 | 0.0001 |
training-run-001 | train/loss | 1 | 1,766,757,945,908 | 2.47918 |
training-run-001 | train/accuracy | 1 | 1,766,757,945,908 | 0.499958 |
training-run-001 | optimizer/lr | 1 | 1,766,757,945,908 | 0.0001 |
training-run-001 | train/loss | 2 | 1,766,757,945,908 | 2.500888 |
training-run-001 | train/accuracy | 2 | 1,766,757,945,908 | 0.518182 |
training-run-001 | optimizer/lr | 2 | 1,766,757,945,908 | 0.0001 |
training-run-001 | train/loss | 3 | 1,766,757,945,908 | 2.46805 |
training-run-001 | train/accuracy | 3 | 1,766,757,945,908 | 0.503806 |
training-run-001 | optimizer/lr | 3 | 1,766,757,945,908 | 0.0001 |
training-run-001 | train/loss | 4 | 1,766,757,945,909 | 2.462755 |
training-run-001 | train/accuracy | 4 | 1,766,757,945,909 | 0.509396 |
training-run-001 | optimizer/lr | 4 | 1,766,757,945,909 | 0.0001 |
training-run-001 | train/loss | 5 | 1,766,757,945,909 | 2.458362 |
training-run-001 | train/accuracy | 5 | 1,766,757,945,909 | 0.509259 |
training-run-001 | optimizer/lr | 5 | 1,766,757,945,909 | 0.0001 |
training-run-001 | train/loss | 6 | 1,766,757,945,909 | 2.424494 |
training-run-001 | train/accuracy | 6 | 1,766,757,945,909 | 0.505953 |
training-run-001 | optimizer/lr | 6 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 7 | 1,766,757,945,909 | 2.471916 |
training-run-001 | train/accuracy | 7 | 1,766,757,945,909 | 0.508181 |
training-run-001 | optimizer/lr | 7 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 8 | 1,766,757,945,909 | 2.442119 |
training-run-001 | train/accuracy | 8 | 1,766,757,945,909 | 0.507677 |
training-run-001 | optimizer/lr | 8 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 9 | 1,766,757,945,909 | 2.42888 |
training-run-001 | train/accuracy | 9 | 1,766,757,945,909 | 0.506287 |
training-run-001 | optimizer/lr | 9 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 10 | 1,766,757,945,909 | 2.430924 |
training-run-001 | train/accuracy | 10 | 1,766,757,945,909 | 0.512458 |
training-run-001 | optimizer/lr | 10 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 11 | 1,766,757,945,909 | 2.419918 |
training-run-001 | train/accuracy | 11 | 1,766,757,945,909 | 0.521595 |
training-run-001 | optimizer/lr | 11 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 12 | 1,766,757,945,909 | 2.457747 |
training-run-001 | train/accuracy | 12 | 1,766,757,945,909 | 0.532307 |
training-run-001 | optimizer/lr | 12 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 13 | 1,766,757,945,909 | 2.369579 |
training-run-001 | train/accuracy | 13 | 1,766,757,945,909 | 0.513622 |
training-run-001 | optimizer/lr | 13 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 14 | 1,766,757,945,909 | 2.350037 |
training-run-001 | train/accuracy | 14 | 1,766,757,945,909 | 0.523147 |
training-run-001 | optimizer/lr | 14 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 15 | 1,766,757,945,909 | 2.376613 |
training-run-001 | train/accuracy | 15 | 1,766,757,945,909 | 0.523715 |
training-run-001 | optimizer/lr | 15 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 16 | 1,766,757,945,909 | 2.354504 |
training-run-001 | train/accuracy | 16 | 1,766,757,945,909 | 0.505687 |
training-run-001 | optimizer/lr | 16 | 1,766,757,945,909 | 0.000099 |
training-run-001 | train/loss | 17 | 1,766,757,945,909 | 2.336112 |
training-run-001 | train/accuracy | 17 | 1,766,757,945,909 | 0.528739 |
training-run-001 | optimizer/lr | 17 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 18 | 1,766,757,945,909 | 2.399622 |
training-run-001 | train/accuracy | 18 | 1,766,757,945,909 | 0.532813 |
training-run-001 | optimizer/lr | 18 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 19 | 1,766,757,945,909 | 2.349519 |
training-run-001 | train/accuracy | 19 | 1,766,757,945,909 | 0.529605 |
training-run-001 | optimizer/lr | 19 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 20 | 1,766,757,945,909 | 2.380786 |
training-run-001 | train/accuracy | 20 | 1,766,757,945,909 | 0.513838 |
training-run-001 | optimizer/lr | 20 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 21 | 1,766,757,945,909 | 2.36143 |
training-run-001 | train/accuracy | 21 | 1,766,757,945,909 | 0.527985 |
training-run-001 | optimizer/lr | 21 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 22 | 1,766,757,945,909 | 2.368939 |
training-run-001 | train/accuracy | 22 | 1,766,757,945,909 | 0.537344 |
training-run-001 | optimizer/lr | 22 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 23 | 1,766,757,945,909 | 2.325149 |
training-run-001 | train/accuracy | 23 | 1,766,757,945,909 | 0.548575 |
training-run-001 | optimizer/lr | 23 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 24 | 1,766,757,945,909 | 2.321286 |
training-run-001 | train/accuracy | 24 | 1,766,757,945,909 | 0.541533 |
training-run-001 | optimizer/lr | 24 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 25 | 1,766,757,945,909 | 2.297787 |
training-run-001 | train/accuracy | 25 | 1,766,757,945,909 | 0.5151 |
training-run-001 | optimizer/lr | 25 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 26 | 1,766,757,945,909 | 2.353742 |
training-run-001 | train/accuracy | 26 | 1,766,757,945,909 | 0.525397 |
training-run-001 | optimizer/lr | 26 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 27 | 1,766,757,945,909 | 2.304098 |
training-run-001 | train/accuracy | 27 | 1,766,757,945,909 | 0.530293 |
training-run-001 | optimizer/lr | 27 | 1,766,757,945,909 | 0.000098 |
training-run-001 | train/loss | 28 | 1,766,757,945,909 | 2.298504 |
training-run-001 | train/accuracy | 28 | 1,766,757,945,909 | 0.515531 |
training-run-001 | optimizer/lr | 28 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 29 | 1,766,757,945,909 | 2.275501 |
training-run-001 | train/accuracy | 29 | 1,766,757,945,909 | 0.549027 |
training-run-001 | optimizer/lr | 29 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 30 | 1,766,757,945,909 | 2.304175 |
training-run-001 | train/accuracy | 30 | 1,766,757,945,909 | 0.552883 |
training-run-001 | optimizer/lr | 30 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 31 | 1,766,757,945,909 | 2.308977 |
training-run-001 | train/accuracy | 31 | 1,766,757,945,909 | 0.53702 |
training-run-001 | optimizer/lr | 31 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 32 | 1,766,757,945,909 | 2.24586 |
training-run-001 | train/accuracy | 32 | 1,766,757,945,909 | 0.557991 |
training-run-001 | optimizer/lr | 32 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 33 | 1,766,757,945,909 | 2.268363 |
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