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2023-05-07 12:59:11
[  917/65536] Loss:  3.434 - Accuracy:    0.169 | LearningRate: 0.00089 | StepTime:   7.813155s - Rate:   4,064.7 Tokens/s
2023-05-07 12:59:19
[  918/65536] Loss:  3.443 - Accuracy:    0.171 | LearningRate: 0.00089 | StepTime:   7.813322s - Rate:   4,064.9 Tokens/s
2023-05-07 12:59:27
[  919/65536] Loss:  3.421 - Accuracy:    0.166 | LearningRate: 0.00089 | StepTime:   7.822295s - Rate:   4,065.0 Tokens/s
2023-05-07 12:59:35
[  920/65536] Loss:  3.527 - Accuracy:    0.161 | LearningRate: 0.00089 | StepTime:   7.822484s - Rate:   4,065.1 Tokens/s
2023-05-07 12:59:43
[  921/65536] Loss:  3.467 - Accuracy:    0.161 | LearningRate: 0.00089 | StepTime:   7.818895s - Rate:   4,065.2 Tokens/s
2023-05-07 12:59:51
[  922/65536] Loss:  3.539 - Accuracy:    0.159 | LearningRate: 0.00089 | StepTime:   7.818285s - Rate:   4,065.3 Tokens/s
2023-05-07 12:59:59
[  923/65536] Loss:  3.476 - Accuracy:    0.168 | LearningRate: 0.00090 | StepTime:   7.817966s - Rate:   4,065.5 Tokens/s
2023-05-07 13:00:07
[  924/65536] Loss:  3.471 - Accuracy:    0.167 | LearningRate: 0.00090 | StepTime:   7.819130s - Rate:   4,065.6 Tokens/s
2023-05-07 13:00:15
[  925/65536] Loss:  3.410 - Accuracy:    0.175 | LearningRate: 0.00090 | StepTime:   7.818218s - Rate:   4,065.7 Tokens/s
2023-05-07 13:00:23
[  926/65536] Loss:  3.477 - Accuracy:    0.166 | LearningRate: 0.00090 | StepTime:   7.815485s - Rate:   4,065.8 Tokens/s