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
|
End of preview. Expand
in Data Studio
No dataset card yet
- Downloads last month
- 9
Size of downloaded dataset files:
31.3 kB
Size of the auto-converted Parquet files:
31.3 kB
Number of rows:
3,000