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Group: ctx8-batch1024-smallmodel

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2023-05-16 09:07:07

[ 5494/65536] Loss: 2.808 - Accuracy: 0.302 | LearningRate: 0.00010 | StepTime: 1.783636s - Rate: 4,432.5 Tokens/s

2023-05-16 09:07:09

[ 5495/65536] Loss: 2.870 - Accuracy: 0.292 | LearningRate: 0.00010 | StepTime: 1.756905s - Rate: 4,432.5 Tokens/s

2023-05-16 09:07:11

[ 5496/65536] Loss: 2.796 - Accuracy: 0.310 | LearningRate: 0.00010 | StepTime: 1.757602s - Rate: 4,432.5 Tokens/s

2023-05-16 09:07:13

[ 5497/65536] Loss: 2.850 - Accuracy: 0.296 | LearningRate: 0.00010 | StepTime: 1.757045s - Rate: 4,432.6 Tokens/s

2023-05-16 09:07:15

[ 5498/65536] Loss: 2.778 - Accuracy: 0.308 | LearningRate: 0.00010 | StepTime: 1.757982s - Rate: 4,432.6 Tokens/s

2023-05-16 09:07:17

[ 5499/65536] Loss: 2.795 - Accuracy: 0.303 | LearningRate: 0.00010 | StepTime: 1.757137s - Rate: 4,432.6 Tokens/s

2023-05-16 09:07:17

[ 5500/65536] Loss: 2.779 - Accuracy: 0.304 | LearningRate: 0.00010 | StepTime: 1.784858s - Rate: 4,432.7 Tokens/s

2023-05-16 09:07:19

[ 5501/65536] Loss: 2.828 - Accuracy: 0.286 | LearningRate: 0.00010 | StepTime: 1.758687s - Rate: 4,432.7 Tokens/s

2023-05-16 09:07:21

[ 5502/65536] Loss: 2.814 - Accuracy: 0.294 | LearningRate: 0.00010 | StepTime: 1.757286s - Rate: 4,432.7 Tokens/s

2023-05-16 09:07:23

[ 5503/65536] Loss: 2.819 - Accuracy: 0.288 | LearningRate: 0.00010 | StepTime: 1.789488s - Rate: 4,432.8 Tokens/s

2023-05-16 09:07:25

[ 5504/65536] Loss: 2.786 - Accuracy: 0.296 | LearningRate: 0.00010 | StepTime: 1.761157s - Rate: 4,432.8 Tokens/s

2023-05-16 09:07:27

[ 5505/65536] Loss: 2.779 - Accuracy: 0.304 | LearningRate: 0.00010 | StepTime: 1.758341s - Rate: 4,432.8 Tokens/s