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Timestamps visible
2022-11-03 06:17:16
[  2997/262144] Loss:  0.983 - Accuracy:    0.705 | LearningRate: 0.00979 | StepTime:  44.008895s - Rate: 1,638,722.7 Tokens/s
2022-11-03 06:18:00
[  3001/262144] Loss:  0.982 - Accuracy:    0.704 | LearningRate: 0.00979 | StepTime:  44.023523s - Rate: 1,604,081.3 Tokens/s
2022-11-03 06:18:45
[  3005/262144] Loss:  0.984 - Accuracy:    0.703 | LearningRate: 0.00979 | StepTime:  43.992119s - Rate: 1,570,980.6 Tokens/s
2022-11-03 06:19:29
[  3009/262144] Loss:  0.986 - Accuracy:    0.702 | LearningRate: 0.00979 | StepTime:  44.004647s - Rate: 1,539,278.7 Tokens/s
2022-11-03 06:20:13
[  3013/262144] Loss:  0.978 - Accuracy:    0.704 | LearningRate: 0.00979 | StepTime:  44.004469s - Rate: 1,508,920.2 Tokens/s
2022-11-03 06:20:57
[  3017/262144] Loss:  0.974 - Accuracy:    0.705 | LearningRate: 0.00979 | StepTime:  44.002483s - Rate: 1,479,816.0 Tokens/s
2022-11-03 06:21:41
[  3021/262144] Loss:  0.981 - Accuracy:    0.703 | LearningRate: 0.00979 | StepTime:  44.013198s - Rate: 1,451,881.3 Tokens/s
2022-11-03 06:22:25
[  3025/262144] Loss:  0.988 - Accuracy:    0.702 | LearningRate: 0.00979 | StepTime:  44.008149s - Rate: 1,425,057.8 Tokens/s
2022-11-03 06:23:09
[  3029/262144] Loss:  0.978 - Accuracy:    0.705 | LearningRate: 0.00979 | StepTime:  44.015263s - Rate: 1,399,257.6 Tokens/s
2022-11-03 06:23:53
[  3033/262144] Loss:  0.973 - Accuracy:    0.706 | LearningRate: 0.00979 | StepTime:  44.004331s - Rate: 1,374,453.9 Tokens/s
2022-11-03 06:24:37
[  3037/262144] Loss:  0.973 - Accuracy:    0.707 | LearningRate: 0.00979 | StepTime:  44.008875s - Rate: 1,350,575.9 Tokens/s
2022-11-03 06:25:21
[  3041/262144] Loss:  0.979 - Accuracy:    0.705 | LearningRate: 0.00979 | StepTime:  43.997397s - Rate: 1,327,575.5 Tokens/s