homebrewnlp

2022-10-27 07:11:18

[ 581/262144] Loss: 1.733 - Accuracy: 0.515 | LearningRate: 0.00565 | StepTime: 41.412915s - Rate: 97,884.9 Tokens/s

2022-10-27 07:12:00

[ 585/262144] Loss: 1.747 - Accuracy: 0.516 | LearningRate: 0.00569 | StepTime: 41.448880s - Rate: 97,906.6 Tokens/s

2022-10-27 07:12:42

[ 589/262144] Loss: 1.701 - Accuracy: 0.524 | LearningRate: 0.00573 | StepTime: 41.440953s - Rate: 97,930.5 Tokens/s

2022-10-27 07:13:22

[ 593/262144] Loss: 1.712 - Accuracy: 0.521 | LearningRate: 0.00577 | StepTime: 41.452050s - Rate: 97,949.2 Tokens/s

2022-10-27 07:14:04

[ 597/262144] Loss: 1.723 - Accuracy: 0.519 | LearningRate: 0.00581 | StepTime: 41.456577s - Rate: 97,969.8 Tokens/s

2022-10-27 07:14:46

[ 601/262144] Loss: 1.728 - Accuracy: 0.519 | LearningRate: 0.00584 | StepTime: 41.420082s - Rate: 97,990.5 Tokens/s

2022-10-27 07:15:26

[ 605/262144] Loss: 1.710 - Accuracy: 0.522 | LearningRate: 0.00588 | StepTime: 41.436268s - Rate: 98,013.4 Tokens/s

2022-10-27 07:16:08

[ 609/262144] Loss: 1.734 - Accuracy: 0.515 | LearningRate: 0.00592 | StepTime: 41.444426s - Rate: 98,031.0 Tokens/s

2022-10-27 07:16:50

[ 613/262144] Loss: 1.713 - Accuracy: 0.521 | LearningRate: 0.00596 | StepTime: 41.441408s - Rate: 98,050.8 Tokens/s

2022-10-27 07:16:08

[ 609/262144] Loss: 1.734 - Accuracy: 0.515 | LearningRate: 0.00592 | StepTime: 41.441358s - Rate: 98,021.5 Tokens/s

2022-10-27 07:16:50

[ 613/262144] Loss: 1.713 - Accuracy: 0.521 | LearningRate: 0.00596 | StepTime: 41.437889s - Rate: 98,041.4 Tokens/s

2022-10-27 07:17:32

[ 617/262144] Loss: 1.716 - Accuracy: 0.520 | LearningRate: 0.00600 | StepTime: 41.414727s - Rate: 98,060.9 Tokens/s

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