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2023-05-16 19:12:26
[119745/524288] Loss:  2.444 - Accuracy:    0.336 | LearningRate: 0.00000 | StepTime:   1.637048s - Rate:  28,758.8 Tokens/s
2023-05-16 19:12:28
[119753/524288] Loss:  2.496 - Accuracy:    0.328 | LearningRate: 0.00000 | StepTime:   1.635873s - Rate:  28,747.9 Tokens/s
2023-05-16 19:12:30
[119761/524288] Loss:  2.478 - Accuracy:    0.340 | LearningRate: 0.00000 | StepTime:   1.634439s - Rate:  28,736.8 Tokens/s
2023-05-16 19:12:32
[119769/524288] Loss:  2.512 - Accuracy:    0.324 | LearningRate: 0.00000 | StepTime:   1.635950s - Rate:  28,725.9 Tokens/s
2023-05-16 19:12:34
[119777/524288] Loss:  2.430 - Accuracy:    0.350 | LearningRate: 0.00000 | StepTime:   1.637103s - Rate:  28,714.7 Tokens/s
2023-05-16 19:12:36
[119785/524288] Loss:  2.494 - Accuracy:    0.331 | LearningRate: 0.00000 | StepTime:   1.635504s - Rate:  28,703.6 Tokens/s
2023-05-16 19:12:38
[119793/524288] Loss:  2.473 - Accuracy:    0.342 | LearningRate: 0.00000 | StepTime:   1.637754s - Rate:  28,692.9 Tokens/s
2023-05-16 19:12:40
[119801/524288] Loss:  2.467 - Accuracy:    0.333 | LearningRate: 0.00000 | StepTime:   1.636141s - Rate:  28,682.0 Tokens/s
2023-05-16 19:12:40
[119809/524288] Loss:  2.480 - Accuracy:    0.334 | LearningRate: 0.00000 | StepTime:   1.667210s - Rate:  28,671.0 Tokens/s
2023-05-16 19:12:42
[119817/524288] Loss:  2.523 - Accuracy:    0.325 | LearningRate: 0.00000 | StepTime:   1.636924s - Rate:  28,660.2 Tokens/s
2023-05-16 19:12:44
[119825/524288] Loss:  2.533 - Accuracy:    0.329 | LearningRate: 0.00000 | StepTime:   1.636683s - Rate:  28,649.5 Tokens/s
2023-05-16 19:12:46
[119833/524288] Loss:  2.471 - Accuracy:    0.332 | LearningRate: 0.00000 | StepTime:   1.666438s - Rate:  28,638.5 Tokens/s