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2023-05-11 14:16:41
[34227/65536] Loss:  3.446 - Accuracy:    0.162 | LearningRate: 0.00079 | StepTime:   0.657614s - Rate:  37,805.2 Tokens/s
2023-05-11 14:16:41
[34228/65536] Loss:  3.464 - Accuracy:    0.169 | LearningRate: 0.00079 | StepTime:   0.658381s - Rate:  37,805.5 Tokens/s
2023-05-11 14:16:43
[34229/65536] Loss:  3.465 - Accuracy:    0.157 | LearningRate: 0.00079 | StepTime:   0.657706s - Rate:  37,805.7 Tokens/s
2023-05-11 14:16:43
[34230/65536] Loss:  3.442 - Accuracy:    0.180 | LearningRate: 0.00079 | StepTime:   0.657514s - Rate:  37,806.0 Tokens/s
2023-05-11 14:16:43
[34231/65536] Loss:  3.436 - Accuracy:    0.164 | LearningRate: 0.00079 | StepTime:   0.658083s - Rate:  37,806.2 Tokens/s
2023-05-11 14:16:45
[34232/65536] Loss:  3.489 - Accuracy:    0.172 | LearningRate: 0.00079 | StepTime:   0.707858s - Rate:  37,806.4 Tokens/s
2023-05-11 14:16:45
[34233/65536] Loss:  3.428 - Accuracy:    0.170 | LearningRate: 0.00079 | StepTime:   0.658953s - Rate:  37,806.6 Tokens/s
2023-05-11 14:16:45
[34234/65536] Loss:  3.431 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.686798s - Rate:  37,806.8 Tokens/s
2023-05-11 14:16:47
[34235/65536] Loss:  3.477 - Accuracy:    0.157 | LearningRate: 0.00079 | StepTime:   0.657495s - Rate:  37,807.1 Tokens/s
2023-05-11 14:16:47
[34236/65536] Loss:  3.397 - Accuracy:    0.168 | LearningRate: 0.00079 | StepTime:   0.657584s - Rate:  37,807.3 Tokens/s
2023-05-11 14:16:47
[34237/65536] Loss:  3.453 - Accuracy:    0.178 | LearningRate: 0.00079 | StepTime:   0.658593s - Rate:  37,807.6 Tokens/s
2023-05-11 14:16:49
[34238/65536] Loss:  3.418 - Accuracy:    0.177 | LearningRate: 0.00079 | StepTime:   0.657555s - Rate:  37,807.8 Tokens/s
2023-05-11 14:16:49
[34239/65536] Loss:  3.410 - Accuracy:    0.180 | LearningRate: 0.00079 | StepTime:   0.657645s - Rate:  37,808.1 Tokens/s
2023-05-11 14:16:49
[34240/65536] Loss:  3.371 - Accuracy:    0.178 | LearningRate: 0.00079 | StepTime:   0.659216s - Rate:  37,808.3 Tokens/s
2023-05-11 14:16:51
[34241/65536] Loss:  3.375 - Accuracy:    0.170 | LearningRate: 0.00079 | StepTime:   0.658087s - Rate:  37,808.6 Tokens/s
2023-05-11 14:16:51
[34242/65536] Loss:  3.398 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.658590s - Rate:  37,808.8 Tokens/s
2023-05-11 14:16:51
[34243/65536] Loss:  3.482 - Accuracy:    0.164 | LearningRate: 0.00079 | StepTime:   0.657775s - Rate:  37,809.1 Tokens/s
2023-05-11 14:16:53
[34244/65536] Loss:  3.377 - Accuracy:    0.175 | LearningRate: 0.00079 | StepTime:   0.657671s - Rate:  37,809.3 Tokens/s
2023-05-11 14:16:53
[34245/65536] Loss:  3.395 - Accuracy:    0.171 | LearningRate: 0.00079 | StepTime:   0.657587s - Rate:  37,809.6 Tokens/s
2023-05-11 14:16:53
[34246/65536] Loss:  3.485 - Accuracy:    0.168 | LearningRate: 0.00079 | StepTime:   0.658913s - Rate:  37,809.8 Tokens/s
2023-05-11 14:16:55
[34247/65536] Loss:  3.452 - Accuracy:    0.160 | LearningRate: 0.00079 | StepTime:   0.657522s - Rate:  37,810.0 Tokens/s
2023-05-11 14:16:55
[34248/65536] Loss:  3.467 - Accuracy:    0.164 | LearningRate: 0.00079 | StepTime:   0.656933s - Rate:  37,810.3 Tokens/s
2023-05-11 14:16:55
[34249/65536] Loss:  3.485 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.657976s - Rate:  37,810.5 Tokens/s
2023-05-11 14:16:57
[34250/65536] Loss:  3.409 - Accuracy:    0.168 | LearningRate: 0.00079 | StepTime:   0.657531s - Rate:  37,810.8 Tokens/s
2023-05-11 14:16:57
[34251/65536] Loss:  3.491 - Accuracy:    0.159 | LearningRate: 0.00079 | StepTime:   0.657617s - Rate:  37,811.0 Tokens/s
2023-05-11 14:16:57
[34252/65536] Loss:  3.466 - Accuracy:    0.161 | LearningRate: 0.00079 | StepTime:   0.656983s - Rate:  37,811.3 Tokens/s
2023-05-11 14:16:59
[34253/65536] Loss:  3.494 - Accuracy:    0.161 | LearningRate: 0.00079 | StepTime:   0.656605s - Rate:  37,811.5 Tokens/s
2023-05-11 14:16:59
[34254/65536] Loss:  3.412 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.658605s - Rate:  37,811.8 Tokens/s
2023-05-11 14:16:59
[34255/65536] Loss:  3.435 - Accuracy:    0.178 | LearningRate: 0.00079 | StepTime:   0.657649s - Rate:  37,812.0 Tokens/s
2023-05-11 14:17:01
[34256/65536] Loss:  3.446 - Accuracy:    0.163 | LearningRate: 0.00079 | StepTime:   0.658358s - Rate:  37,812.3 Tokens/s
2023-05-11 14:17:01
[34257/65536] Loss:  3.461 - Accuracy:    0.161 | LearningRate: 0.00079 | StepTime:   0.657295s - Rate:  37,812.5 Tokens/s
2023-05-11 14:17:01
[34258/65536] Loss:  3.503 - Accuracy:    0.163 | LearningRate: 0.00079 | StepTime:   0.658092s - Rate:  37,812.8 Tokens/s
2023-05-11 14:17:03
[34259/65536] Loss:  3.483 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.659001s - Rate:  37,813.0 Tokens/s
2023-05-11 14:17:03
[34260/65536] Loss:  3.420 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.657551s - Rate:  37,813.2 Tokens/s
2023-05-11 14:17:03
[34261/65536] Loss:  3.534 - Accuracy:    0.171 | LearningRate: 0.00079 | StepTime:   0.657733s - Rate:  37,813.5 Tokens/s
2023-05-11 14:17:05
[34262/65536] Loss:  3.428 - Accuracy:    0.160 | LearningRate: 0.00079 | StepTime:   0.658305s - Rate:  37,813.7 Tokens/s
2023-05-11 14:17:05
[34263/65536] Loss:  3.428 - Accuracy:    0.166 | LearningRate: 0.00079 | StepTime:   0.657417s - Rate:  37,814.0 Tokens/s
2023-05-11 14:17:05
[34264/65536] Loss:  3.503 - Accuracy:    0.157 | LearningRate: 0.00079 | StepTime:   0.659209s - Rate:  37,814.2 Tokens/s
2023-05-11 14:17:07
[34265/65536] Loss:  3.442 - Accuracy:    0.158 | LearningRate: 0.00079 | StepTime:   0.658968s - Rate:  37,814.5 Tokens/s
2023-05-11 14:17:07
[34266/65536] Loss:  3.427 - Accuracy:    0.174 | LearningRate: 0.00079 | StepTime:   0.657379s - Rate:  37,814.7 Tokens/s
2023-05-11 14:17:07
[34267/65536] Loss:  3.457 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.657803s - Rate:  37,815.0 Tokens/s
2023-05-11 14:17:09
[34268/65536] Loss:  3.477 - Accuracy:    0.168 | LearningRate: 0.00079 | StepTime:   0.658208s - Rate:  37,815.2 Tokens/s
2023-05-11 14:17:09
[34269/65536] Loss:  3.485 - Accuracy:    0.151 | LearningRate: 0.00079 | StepTime:   0.658791s - Rate:  37,815.4 Tokens/s
2023-05-11 14:17:09
[34270/65536] Loss:  3.529 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.658844s - Rate:  37,815.7 Tokens/s
2023-05-11 14:17:11
[34271/65536] Loss:  3.461 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.657902s - Rate:  37,815.9 Tokens/s
2023-05-11 14:17:11
[34272/65536] Loss:  3.461 - Accuracy:    0.156 | LearningRate: 0.00079 | StepTime:   0.658062s - Rate:  37,816.2 Tokens/s
2023-05-11 14:17:11
[34273/65536] Loss:  3.413 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.658085s - Rate:  37,816.4 Tokens/s
2023-05-11 14:17:13
[34274/65536] Loss:  3.464 - Accuracy:    0.170 | LearningRate: 0.00079 | StepTime:   0.658227s - Rate:  37,816.7 Tokens/s
2023-05-11 14:17:13
[34275/65536] Loss:  3.462 - Accuracy:    0.168 | LearningRate: 0.00079 | StepTime:   0.658460s - Rate:  37,816.9 Tokens/s
2023-05-11 14:17:13
[34276/65536] Loss:  3.424 - Accuracy:    0.166 | LearningRate: 0.00079 | StepTime:   0.658872s - Rate:  37,817.2 Tokens/s
2023-05-11 14:17:15
[34277/65536] Loss:  3.446 - Accuracy:    0.165 | LearningRate: 0.00079 | StepTime:   0.658001s - Rate:  37,817.4 Tokens/s
2023-05-11 14:17:15
[34278/65536] Loss:  3.454 - Accuracy:    0.164 | LearningRate: 0.00079 | StepTime:   0.658758s - Rate:  37,817.6 Tokens/s
2023-05-11 14:17:15
[34279/65536] Loss:  3.450 - Accuracy:    0.178 | LearningRate: 0.00079 | StepTime:   0.658004s - Rate:  37,817.9 Tokens/s
2023-05-11 14:17:17
[34280/65536] Loss:  3.508 - Accuracy:    0.158 | LearningRate: 0.00079 | StepTime:   0.658106s - Rate:  37,818.1 Tokens/s
2023-05-11 14:17:17
[34281/65536] Loss:  3.447 - Accuracy:    0.167 | LearningRate: 0.00079 | StepTime:   0.657972s - Rate:  37,818.4 Tokens/s
2023-05-11 14:17:17
[34282/65536] Loss:  3.446 - Accuracy:    0.171 | LearningRate: 0.00079 | StepTime:   0.656911s - Rate:  37,818.6 Tokens/s