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2023-05-16 19:12:39
[ 2152/65536] Loss:  2.761 - Accuracy:    0.271 | LearningRate: 0.00001 | StepTime:   1.758293s - Rate:   4,170.4 Tokens/s
2023-05-16 19:12:41
[ 2153/65536] Loss:  2.707 - Accuracy:    0.270 | LearningRate: 0.00001 | StepTime:   1.765224s - Rate:   4,170.6 Tokens/s
2023-05-16 19:12:43
[ 2154/65536] Loss:  2.740 - Accuracy:    0.276 | LearningRate: 0.00001 | StepTime:   1.756772s - Rate:   4,170.8 Tokens/s
2023-05-16 19:12:45
[ 2155/65536] Loss:  2.778 - Accuracy:    0.271 | LearningRate: 0.00001 | StepTime:   1.758004s - Rate:   4,171.0 Tokens/s
2023-05-16 19:12:47
[ 2156/65536] Loss:  2.769 - Accuracy:    0.267 | LearningRate: 0.00001 | StepTime:   1.764173s - Rate:   4,171.2 Tokens/s
2023-05-16 19:12:49
[ 2157/65536] Loss:  2.746 - Accuracy:    0.278 | LearningRate: 0.00001 | StepTime:   1.756816s - Rate:   4,171.4 Tokens/s
2023-05-16 19:12:49
[ 2158/65536] Loss:  2.710 - Accuracy:    0.276 | LearningRate: 0.00001 | StepTime:   1.761543s - Rate:   4,171.6 Tokens/s
2023-05-16 19:12:51
[ 2159/65536] Loss:  2.778 - Accuracy:    0.260 | LearningRate: 0.00001 | StepTime:   1.760368s - Rate:   4,171.8 Tokens/s
2023-05-16 19:12:53
[ 2160/65536] Loss:  2.733 - Accuracy:    0.279 | LearningRate: 0.00001 | StepTime:   1.757281s - Rate:   4,171.9 Tokens/s
2023-05-16 19:12:55
[ 2161/65536] Loss:  2.744 - Accuracy:    0.274 | LearningRate: 0.00001 | StepTime:   1.789899s - Rate:   4,172.1 Tokens/s