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Timestamps visible
2023-05-15 11:06:12
[ 2771/65536] Loss:  0.002 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.316488s - Rate:   1,168.7 Tokens/s
2023-05-15 11:06:12
[ 2772/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.316138s - Rate:   1,168.8 Tokens/s
2023-05-15 11:06:14
[ 2773/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.315570s - Rate:   1,168.9 Tokens/s
2023-05-15 11:06:16
[ 2774/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.315346s - Rate:   1,169.0 Tokens/s
2023-05-15 11:06:16
[ 2775/65536] Loss:  0.001 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.324846s - Rate:   1,169.1 Tokens/s
2023-05-15 11:06:18
[ 2776/65536] Loss:  0.001 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.316138s - Rate:   1,169.2 Tokens/s
2023-05-15 11:06:20
[ 2777/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.315634s - Rate:   1,169.3 Tokens/s
2023-05-15 11:06:20
[ 2778/65536] Loss:  0.001 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.315608s - Rate:   1,169.4 Tokens/s
2023-05-15 11:06:22
[ 2779/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.327401s - Rate:   1,169.5 Tokens/s
2023-05-15 11:06:24
[ 2780/65536] Loss:  0.000 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.315607s - Rate:   1,169.6 Tokens/s
2023-05-15 11:06:24
[ 2781/65536] Loss:  0.001 - Accuracy:    1.000 | LearningRate: 0.00098 | StepTime:   1.316415s - Rate:   1,169.7 Tokens/s
2023-05-15 11:06:26
[ 2782/65536] Loss:  0.004 - Accuracy:    0.999 | LearningRate: 0.00098 | StepTime:   1.315953s - Rate:   1,169.8 Tokens/s