homebrewnlp

Clashluke's group workspace

Group: adam-squarev4

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Timestamps visible

2022-12-06 04:38:12

2022-12-06 04:38:11.615375 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/2/accuracy.npz

2022-12-06 04:38:12

2022-12-06 04:38:11.725828 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/2/current_step.npz

2022-12-06 04:38:12

2022-12-06 04:38:11.836489 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/3/loss.npz

2022-12-06 04:38:12

2022-12-06 04:38:11.954978 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/3/accuracy.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.069487 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/3/current_step.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.196392 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/4/loss.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.320390 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/4/accuracy.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.444998 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/4/current_step.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.631766 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/5/loss.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.747806 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/5/accuracy.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.845865 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/5/current_step.npz

2022-12-06 04:38:14

2022-12-06 04:38:12.950424 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/6/loss.npz

2022-12-06 04:38:14

2022-12-06 04:38:13.059308 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/6/accuracy.npz

2022-12-06 04:38:14

2022-12-06 04:38:13.181289 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-adam-square4/0/6/current_step.npz

2022-12-06 04:39:04

[ 2581/262144] Loss: 1.008 - Accuracy: 0.696 | LearningRate: 0.00982 | StepTime: 50.726021s - Rate: 272,305.4 Tokens/s

2022-12-06 04:39:54

[ 2585/262144] Loss: 1.029 - Accuracy: 0.690 | LearningRate: 0.00982 | StepTime: 49.792718s - Rate: 271,367.8 Tokens/s

2022-12-06 04:40:44

[ 2589/262144] Loss: 1.022 - Accuracy: 0.692 | LearningRate: 0.00982 | StepTime: 49.800972s - Rate: 270,439.4 Tokens/s

2022-12-06 04:41:34

[ 2593/262144] Loss: 1.006 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.782646s - Rate: 269,520.5 Tokens/s

2022-12-06 04:42:24

[ 2597/262144] Loss: 1.021 - Accuracy: 0.693 | LearningRate: 0.00982 | StepTime: 49.786284s - Rate: 268,610.6 Tokens/s

2022-12-06 04:43:14

[ 2601/262144] Loss: 1.024 - Accuracy: 0.693 | LearningRate: 0.00982 | StepTime: 49.768354s - Rate: 267,710.1 Tokens/s

2022-12-06 04:44:04

[ 2605/262144] Loss: 1.009 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.779458s - Rate: 266,818.0 Tokens/s

2022-12-06 04:44:52

[ 2609/262144] Loss: 1.007 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.788474s - Rate: 265,934.4 Tokens/s

2022-12-06 04:45:42

[ 2613/262144] Loss: 1.005 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.823004s - Rate: 265,058.3 Tokens/s

2022-12-06 04:46:32

[ 2617/262144] Loss: 1.008 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.790303s - Rate: 264,191.5 Tokens/s

2022-12-06 04:47:23

[ 2621/262144] Loss: 1.013 - Accuracy: 0.696 | LearningRate: 0.00982 | StepTime: 49.780128s - Rate: 263,333.2 Tokens/s

2022-12-06 04:48:13

[ 2625/262144] Loss: 1.013 - Accuracy: 0.695 | LearningRate: 0.00982 | StepTime: 49.771673s - Rate: 262,483.0 Tokens/s

2022-12-06 04:49:03

[ 2629/262144] Loss: 1.016 - Accuracy: 0.694 | LearningRate: 0.00982 | StepTime: 49.780432s - Rate: 261,824.9 Tokens/s

2022-12-06 04:49:53

[ 2633/262144] Loss: 1.002 - Accuracy: 0.698 | LearningRate: 0.00982 | StepTime: 49.796768s - Rate: 260,806.1 Tokens/s

2022-12-06 04:50:43

[ 2637/262144] Loss: 1.020 - Accuracy: 0.693 | LearningRate: 0.00982 | StepTime: 49.790383s - Rate: 259,979.5 Tokens/s

2022-12-06 04:51:31

[ 2641/262144] Loss: 1.011 - Accuracy: 0.696 | LearningRate: 0.00982 | StepTime: 49.790180s - Rate: 259,160.6 Tokens/s

2022-12-06 04:52:21

[ 2645/262144] Loss: 1.012 - Accuracy: 0.695 | LearningRate: 0.00982 | StepTime: 49.799109s - Rate: 258,349.1 Tokens/s

2022-12-06 04:53:11

[ 2649/262144] Loss: 1.008 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.769416s - Rate: 257,545.5 Tokens/s

2022-12-06 04:54:01

[ 2653/262144] Loss: 1.017 - Accuracy: 0.694 | LearningRate: 0.00982 | StepTime: 49.789685s - Rate: 256,749.1 Tokens/s

2022-12-06 04:54:51

[ 2657/262144] Loss: 1.012 - Accuracy: 0.695 | LearningRate: 0.00982 | StepTime: 49.786005s - Rate: 255,960.0 Tokens/s

2022-12-06 04:55:41

[ 2661/262144] Loss: 0.997 - Accuracy: 0.700 | LearningRate: 0.00982 | StepTime: 49.788048s - Rate: 255,178.1 Tokens/s

2022-12-06 04:56:31

[ 2665/262144] Loss: 1.012 - Accuracy: 0.696 | LearningRate: 0.00982 | StepTime: 49.788833s - Rate: 253,970.6 Tokens/s

2022-12-06 04:57:21

[ 2669/262144] Loss: 1.016 - Accuracy: 0.695 | LearningRate: 0.00982 | StepTime: 49.798817s - Rate: 253,634.6 Tokens/s

2022-12-06 04:58:09

[ 2673/262144] Loss: 1.007 - Accuracy: 0.697 | LearningRate: 0.00982 | StepTime: 49.766239s - Rate: 252,873.8 Tokens/s

2022-12-06 04:58:59

[ 2677/262144] Loss: 1.012 - Accuracy: 0.696 | LearningRate: 0.00982 | StepTime: 49.801683s - Rate: 252,119.3 Tokens/s

2022-12-06 04:59:49

[ 2681/262144] Loss: 1.006 - Accuracy: 0.698 | LearningRate: 0.00981 | StepTime: 49.798278s - Rate: 251,371.7 Tokens/s

2022-12-06 05:00:39

[ 2685/262144] Loss: 1.009 - Accuracy: 0.696 | LearningRate: 0.00981 | StepTime: 49.790433s - Rate: 250,630.8 Tokens/s

2022-12-06 05:01:30

[ 2689/262144] Loss: 1.009 - Accuracy: 0.696 | LearningRate: 0.00981 | StepTime: 49.784432s - Rate: 249,896.6 Tokens/s

2022-12-06 05:02:20

[ 2693/262144] Loss: 1.014 - Accuracy: 0.694 | LearningRate: 0.00981 | StepTime: 49.802166s - Rate: 249,168.5 Tokens/s

2022-12-06 05:03:10

[ 2697/262144] Loss: 1.017 - Accuracy: 0.694 | LearningRate: 0.00981 | StepTime: 49.763943s - Rate: 248,447.4 Tokens/s

2022-12-06 05:04:00

[ 2701/262144] Loss: 1.001 - Accuracy: 0.698 | LearningRate: 0.00981 | StepTime: 49.784487s - Rate: 247,893.3 Tokens/s

2022-12-06 05:04:48

[ 2705/262144] Loss: 0.996 - Accuracy: 0.700 | LearningRate: 0.00981 | StepTime: 49.789995s - Rate: 247,023.3 Tokens/s

2022-12-06 05:05:38

[ 2709/262144] Loss: 1.009 - Accuracy: 0.696 | LearningRate: 0.00981 | StepTime: 49.781908s - Rate: 246,320.6 Tokens/s

2022-12-06 05:06:28

[ 2713/262144] Loss: 1.004 - Accuracy: 0.697 | LearningRate: 0.00981 | StepTime: 49.797428s - Rate: 245,623.6 Tokens/s

2022-12-06 05:07:18

[ 2717/262144] Loss: 0.995 - Accuracy: 0.700 | LearningRate: 0.00981 | StepTime: 49.791884s - Rate: 244,932.6 Tokens/s

2022-12-06 05:08:08

[ 2721/262144] Loss: 0.999 - Accuracy: 0.699 | LearningRate: 0.00981 | StepTime: 49.787774s - Rate: 244,247.7 Tokens/s

2022-12-06 05:08:58

[ 2725/262144] Loss: 1.012 - Accuracy: 0.695 | LearningRate: 0.00981 | StepTime: 49.790437s - Rate: 243,568.1 Tokens/s

2022-12-06 05:09:48

[ 2729/262144] Loss: 1.002 - Accuracy: 0.698 | LearningRate: 0.00981 | StepTime: 49.766587s - Rate: 242,895.0 Tokens/s

2022-12-06 05:10:38

[ 2733/262144] Loss: 1.009 - Accuracy: 0.697 | LearningRate: 0.00981 | StepTime: 49.789513s - Rate: 242,379.4 Tokens/s

2022-12-06 05:08:58

[ 2725/262144] Loss: 1.012 - Accuracy: 0.695 | LearningRate: 0.00981 | StepTime: 49.791062s - Rate: 243,474.3 Tokens/s

2022-12-06 05:09:48

[ 2729/262144] Loss: 1.002 - Accuracy: 0.698 | LearningRate: 0.00981 | StepTime: 49.788157s - Rate: 242,801.6 Tokens/s

2022-12-06 05:10:36

[ 2733/262144] Loss: 1.009 - Accuracy: 0.697 | LearningRate: 0.00981 | StepTime: 49.766280s - Rate: 242,134.9 Tokens/s