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/accuracy | 33 | 1,766,757,945,909 | 0.537181 |
training-run-001 | optimizer/lr | 33 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 34 | 1,766,757,945,909 | 2.252739 |
training-run-001 | train/accuracy | 34 | 1,766,757,945,909 | 0.534548 |
training-run-001 | optimizer/lr | 34 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 35 | 1,766,757,945,909 | 2.259699 |
training-run-001 | train/accuracy | 35 | 1,766,757,945,909 | 0.549255 |
training-run-001 | optimizer/lr | 35 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 36 | 1,766,757,945,909 | 2.246362 |
training-run-001 | train/accuracy | 36 | 1,766,757,945,909 | 0.536359 |
training-run-001 | optimizer/lr | 36 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 37 | 1,766,757,945,909 | 2.251057 |
training-run-001 | train/accuracy | 37 | 1,766,757,945,909 | 0.538018 |
training-run-001 | optimizer/lr | 37 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 38 | 1,766,757,945,909 | 2.225874 |
training-run-001 | train/accuracy | 38 | 1,766,757,945,909 | 0.554748 |
training-run-001 | optimizer/lr | 38 | 1,766,757,945,909 | 0.000097 |
training-run-001 | train/loss | 39 | 1,766,757,945,909 | 2.183852 |
training-run-001 | train/accuracy | 39 | 1,766,757,945,909 | 0.53906 |
training-run-001 | optimizer/lr | 39 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 40 | 1,766,757,945,909 | 2.236543 |
training-run-001 | train/accuracy | 40 | 1,766,757,945,909 | 0.545991 |
training-run-001 | optimizer/lr | 40 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 41 | 1,766,757,945,909 | 2.161352 |
training-run-001 | train/accuracy | 41 | 1,766,757,945,909 | 0.538496 |
training-run-001 | optimizer/lr | 41 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 42 | 1,766,757,945,909 | 2.207102 |
training-run-001 | train/accuracy | 42 | 1,766,757,945,909 | 0.553064 |
training-run-001 | optimizer/lr | 42 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 43 | 1,766,757,945,909 | 2.238729 |
training-run-001 | train/accuracy | 43 | 1,766,757,945,909 | 0.564807 |
training-run-001 | optimizer/lr | 43 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 44 | 1,766,757,945,909 | 2.173566 |
training-run-001 | train/accuracy | 44 | 1,766,757,945,909 | 0.558081 |
training-run-001 | optimizer/lr | 44 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 45 | 1,766,757,945,909 | 2.150132 |
training-run-001 | train/accuracy | 45 | 1,766,757,945,909 | 0.551176 |
training-run-001 | optimizer/lr | 45 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 46 | 1,766,757,945,909 | 2.174806 |
training-run-001 | train/accuracy | 46 | 1,766,757,945,909 | 0.569424 |
training-run-001 | optimizer/lr | 46 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 47 | 1,766,757,945,909 | 2.216597 |
training-run-001 | train/accuracy | 47 | 1,766,757,945,909 | 0.570211 |
training-run-001 | optimizer/lr | 47 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 48 | 1,766,757,945,909 | 2.202651 |
training-run-001 | train/accuracy | 48 | 1,766,757,945,909 | 0.550787 |
training-run-001 | optimizer/lr | 48 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 49 | 1,766,757,945,909 | 2.202297 |
training-run-001 | train/accuracy | 49 | 1,766,757,945,909 | 0.572905 |
training-run-001 | optimizer/lr | 49 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 50 | 1,766,757,945,909 | 2.175563 |
training-run-001 | train/accuracy | 50 | 1,766,757,945,909 | 0.555342 |
training-run-001 | optimizer/lr | 50 | 1,766,757,945,909 | 0.000096 |
training-run-001 | train/loss | 51 | 1,766,757,945,909 | 2.139793 |
training-run-001 | train/accuracy | 51 | 1,766,757,945,909 | 0.562368 |
training-run-001 | optimizer/lr | 51 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 52 | 1,766,757,945,909 | 2.190966 |
training-run-001 | train/accuracy | 52 | 1,766,757,945,909 | 0.553369 |
training-run-001 | optimizer/lr | 52 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 53 | 1,766,757,945,909 | 2.105644 |
training-run-001 | train/accuracy | 53 | 1,766,757,945,909 | 0.586066 |
training-run-001 | optimizer/lr | 53 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 54 | 1,766,757,945,909 | 2.144565 |
training-run-001 | train/accuracy | 54 | 1,766,757,945,909 | 0.56336 |
training-run-001 | optimizer/lr | 54 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 55 | 1,766,757,945,909 | 2.153828 |
training-run-001 | train/accuracy | 55 | 1,766,757,945,909 | 0.561966 |
training-run-001 | optimizer/lr | 55 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 56 | 1,766,757,945,909 | 2.127309 |
training-run-001 | train/accuracy | 56 | 1,766,757,945,909 | 0.573453 |
training-run-001 | optimizer/lr | 56 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 57 | 1,766,757,945,909 | 2.095745 |
training-run-001 | train/accuracy | 57 | 1,766,757,945,909 | 0.579628 |
training-run-001 | optimizer/lr | 57 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 58 | 1,766,757,945,909 | 2.094669 |
training-run-001 | train/accuracy | 58 | 1,766,757,945,909 | 0.580077 |
training-run-001 | optimizer/lr | 58 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 59 | 1,766,757,945,909 | 2.10963 |
training-run-001 | train/accuracy | 59 | 1,766,757,945,909 | 0.576093 |
training-run-001 | optimizer/lr | 59 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 60 | 1,766,757,945,909 | 2.042562 |
training-run-001 | train/accuracy | 60 | 1,766,757,945,909 | 0.565537 |
training-run-001 | optimizer/lr | 60 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 61 | 1,766,757,945,909 | 2.119837 |
training-run-001 | train/accuracy | 61 | 1,766,757,945,909 | 0.595713 |
training-run-001 | optimizer/lr | 61 | 1,766,757,945,909 | 0.000095 |
training-run-001 | train/loss | 62 | 1,766,757,945,909 | 2.068285 |
training-run-001 | train/accuracy | 62 | 1,766,757,945,909 | 0.575381 |
training-run-001 | optimizer/lr | 62 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 63 | 1,766,757,945,909 | 2.075035 |
training-run-001 | train/accuracy | 63 | 1,766,757,945,909 | 0.588889 |
training-run-001 | optimizer/lr | 63 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 64 | 1,766,757,945,909 | 2.045647 |
training-run-001 | train/accuracy | 64 | 1,766,757,945,909 | 0.577122 |
training-run-001 | optimizer/lr | 64 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 65 | 1,766,757,945,909 | 2.073872 |
training-run-001 | train/accuracy | 65 | 1,766,757,945,909 | 0.568783 |
training-run-001 | optimizer/lr | 65 | 1,766,757,945,909 | 0.000094 |
training-run-001 | train/loss | 66 | 1,766,757,945,909 | 2.061406 |
training-run-001 | train/accuracy | 66 | 1,766,757,945,909 | 0.571886 |
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