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2022-11-02 17:12:56
[  1829/262144] Loss:  1.118 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.776419s - Rate:  73,706.4 Tokens/s
2022-11-02 17:13:52
[  1833/262144] Loss:  1.103 - Accuracy:    0.671 | LearningRate: 0.00987 | StepTime:  55.743556s - Rate:  73,709.6 Tokens/s
2022-11-02 17:14:48
[  1837/262144] Loss:  1.108 - Accuracy:    0.671 | LearningRate: 0.00987 | StepTime:  55.707644s - Rate:  73,712.8 Tokens/s
2022-11-02 17:15:44
[  1841/262144] Loss:  1.119 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.770023s - Rate:  73,715.0 Tokens/s
2022-11-02 17:16:41
[  1845/262144] Loss:  1.120 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.744913s - Rate:  73,719.1 Tokens/s
2022-11-02 17:11:05
[  1821/262144] Loss:  1.109 - Accuracy:    0.672 | LearningRate: 0.00987 | StepTime:  55.730410s - Rate:  73,699.2 Tokens/s
2022-11-02 17:12:02
[  1825/262144] Loss:  1.112 - Accuracy:    0.669 | LearningRate: 0.00987 | StepTime:  55.745887s - Rate:  73,702.4 Tokens/s
2022-11-02 17:12:58
[  1829/262144] Loss:  1.118 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.749116s - Rate:  73,705.5 Tokens/s
2022-11-02 17:13:52
[  1833/262144] Loss:  1.103 - Accuracy:    0.671 | LearningRate: 0.00987 | StepTime:  55.737390s - Rate:  73,708.6 Tokens/s
2022-11-02 17:14:48
[  1837/262144] Loss:  1.108 - Accuracy:    0.671 | LearningRate: 0.00987 | StepTime:  55.738112s - Rate:  73,711.8 Tokens/s
2022-11-02 17:15:44
[  1841/262144] Loss:  1.119 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.739969s - Rate:  73,715.0 Tokens/s
2022-11-02 17:16:40
[  1845/262144] Loss:  1.120 - Accuracy:    0.668 | LearningRate: 0.00987 | StepTime:  55.741846s - Rate:  73,718.1 Tokens/s