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Timestamps visible
2023-05-07 10:43:47
[  442/65536] Loss:  3.432 - Accuracy:    0.161 | LearningRate: 0.00043 | StepTime:   7.821249s - Rate:   4,030.6 Tokens/s
2023-05-07 10:43:55
[  443/65536] Loss:  3.463 - Accuracy:    0.170 | LearningRate: 0.00043 | StepTime:   7.822944s - Rate:   4,030.9 Tokens/s
2023-05-07 10:44:03
[  444/65536] Loss:  3.488 - Accuracy:    0.174 | LearningRate: 0.00043 | StepTime:   7.820266s - Rate:   4,031.2 Tokens/s
2023-05-07 10:44:11
[  445/65536] Loss:  3.462 - Accuracy:    0.169 | LearningRate: 0.00043 | StepTime:   7.821751s - Rate:   4,031.6 Tokens/s
2023-05-07 10:44:19
[  446/65536] Loss:  3.484 - Accuracy:    0.166 | LearningRate: 0.00043 | StepTime:   7.820818s - Rate:   4,031.9 Tokens/s
2023-05-07 10:44:27
[  447/65536] Loss:  3.497 - Accuracy:    0.175 | LearningRate: 0.00044 | StepTime:   7.822186s - Rate:   4,032.2 Tokens/s
2023-05-07 10:44:35
[  448/65536] Loss:  3.478 - Accuracy:    0.166 | LearningRate: 0.00044 | StepTime:   7.835782s - Rate:   4,032.5 Tokens/s
2023-05-07 10:44:43
[  449/65536] Loss:  3.452 - Accuracy:    0.168 | LearningRate: 0.00044 | StepTime:   7.827761s - Rate:   4,032.8 Tokens/s
2023-05-07 10:44:49
[  450/65536] Loss:  3.476 - Accuracy:    0.169 | LearningRate: 0.00044 | StepTime:   7.826013s - Rate:   4,033.1 Tokens/s
2023-05-07 10:44:57
[  451/65536] Loss:  3.465 - Accuracy:    0.169 | LearningRate: 0.00044 | StepTime:   7.825597s - Rate:   4,033.4 Tokens/s
2023-05-07 10:45:05
[  452/65536] Loss:  3.539 - Accuracy:    0.167 | LearningRate: 0.00044 | StepTime:   7.825261s - Rate:   4,033.7 Tokens/s
2023-05-07 10:45:13
[  453/65536] Loss:  3.496 - Accuracy:    0.154 | LearningRate: 0.00044 | StepTime:   7.826124s - Rate:   4,034.0 Tokens/s