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Timestamps visible
2023-05-15 16:38:43
[15851/65536] Loss:  2.181 - Accuracy:    0.413 | LearningRate: 0.00089 | StepTime:   0.359505s - Rate:   3,860.2 Tokens/s
2023-05-15 16:38:45
[15852/65536] Loss:  2.192 - Accuracy:    0.403 | LearningRate: 0.00089 | StepTime:   0.357879s - Rate:   3,860.3 Tokens/s
2023-05-15 16:38:45
[15853/65536] Loss:  2.015 - Accuracy:    0.436 | LearningRate: 0.00089 | StepTime:   0.358783s - Rate:   3,860.3 Tokens/s
2023-05-15 16:38:45
[15854/65536] Loss:  2.091 - Accuracy:    0.410 | LearningRate: 0.00089 | StepTime:   0.357918s - Rate:   3,860.4 Tokens/s
2023-05-15 16:38:45
[15855/65536] Loss:  2.136 - Accuracy:    0.433 | LearningRate: 0.00089 | StepTime:   0.358716s - Rate:   3,860.5 Tokens/s
2023-05-15 16:38:45
[15856/65536] Loss:  2.117 - Accuracy:    0.429 | LearningRate: 0.00089 | StepTime:   0.362138s - Rate:   3,860.5 Tokens/s
2023-05-15 16:38:47
[15857/65536] Loss:  2.075 - Accuracy:    0.421 | LearningRate: 0.00089 | StepTime:   0.358230s - Rate:   3,860.6 Tokens/s
2023-05-15 16:38:47
[15858/65536] Loss:  2.191 - Accuracy:    0.404 | LearningRate: 0.00089 | StepTime:   0.359623s - Rate:   3,860.7 Tokens/s
2023-05-15 16:38:47
[15859/65536] Loss:  2.045 - Accuracy:    0.429 | LearningRate: 0.00089 | StepTime:   0.358141s - Rate:   3,860.8 Tokens/s
2023-05-15 16:38:47
[15860/65536] Loss:  2.086 - Accuracy:    0.429 | LearningRate: 0.00089 | StepTime:   0.359078s - Rate:   3,860.8 Tokens/s
2023-05-15 16:38:47
[15861/65536] Loss:  2.160 - Accuracy:    0.410 | LearningRate: 0.00089 | StepTime:   0.358121s - Rate:   3,860.9 Tokens/s
2023-05-15 16:38:47
[15862/65536] Loss:  2.069 - Accuracy:    0.423 | LearningRate: 0.00089 | StepTime:   0.358113s - Rate:   3,861.0 Tokens/s