homebrewnlp

Clashluke's group workspace

Group: big-shampoo-blocks

664

235

567

370

1-4

of 4

Timestamps visible

2022-11-04 05:29:33

2022-11-04 05:29:32.040876 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/2/accuracy.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.172642 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/2/current_step.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.299181 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/3/loss.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.424821 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/3/accuracy.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.543558 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/3/current_step.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.718960 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/4/loss.npz

2022-11-04 05:29:33

2022-11-04 05:29:32.834206 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/4/accuracy.npz

2022-11-04 05:29:35

2022-11-04 05:29:32.958190 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/4/current_step.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.073735 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/5/loss.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.228435 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/5/accuracy.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.365039 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/5/current_step.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.480910 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/6/loss.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.598658 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/6/accuracy.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.709443 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/6/current_step.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.820504 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/7/loss.npz

2022-11-04 05:29:35

2022-11-04 05:29:33.956171 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/7/accuracy.npz

2022-11-04 05:29:35

2022-11-04 05:29:34.079933 Uploading 1 objects to gs://homebrewnlp-eu/homebrewnlp-checkpoint-big-shampoo-blocks/3/7/current_step.npz

2022-11-04 05:30:21

[ 3357/262144] Loss: 0.957 - Accuracy: 0.711 | LearningRate: 0.00977 | StepTime: 44.978945s - Rate: 242,418.5 Tokens/s

2022-11-04 05:31:05

[ 3361/262144] Loss: 0.960 - Accuracy: 0.710 | LearningRate: 0.00977 | StepTime: 44.015894s - Rate: 241,973.7 Tokens/s

2022-11-04 05:31:49

[ 3365/262144] Loss: 0.971 - Accuracy: 0.707 | LearningRate: 0.00977 | StepTime: 43.985260s - Rate: 241,532.0 Tokens/s

2022-11-04 05:32:33

[ 3369/262144] Loss: 0.964 - Accuracy: 0.708 | LearningRate: 0.00977 | StepTime: 43.966498s - Rate: 241,093.3 Tokens/s

2022-11-04 05:33:17

[ 3373/262144] Loss: 0.965 - Accuracy: 0.709 | LearningRate: 0.00977 | StepTime: 43.961525s - Rate: 240,657.1 Tokens/s

2022-11-04 05:33:59

[ 3377/262144] Loss: 0.978 - Accuracy: 0.705 | LearningRate: 0.00977 | StepTime: 43.978132s - Rate: 240,223.2 Tokens/s

2022-11-04 05:34:43

[ 3381/262144] Loss: 0.947 - Accuracy: 0.714 | LearningRate: 0.00977 | StepTime: 43.975072s - Rate: 239,792.3 Tokens/s

2022-11-04 05:35:29

[ 3385/262144] Loss: 0.964 - Accuracy: 0.708 | LearningRate: 0.00977 | StepTime: 43.991563s - Rate: 239,623.9 Tokens/s

2022-11-04 05:36:11

[ 3389/262144] Loss: 0.960 - Accuracy: 0.710 | LearningRate: 0.00977 | StepTime: 43.990778s - Rate: 238,937.5 Tokens/s

2022-11-04 05:36:55

[ 3393/262144] Loss: 0.957 - Accuracy: 0.711 | LearningRate: 0.00977 | StepTime: 43.987205s - Rate: 238,514.0 Tokens/s

2022-11-04 05:37:39

[ 3397/262144] Loss: 0.959 - Accuracy: 0.710 | LearningRate: 0.00977 | StepTime: 43.962942s - Rate: 238,093.3 Tokens/s

2022-11-04 05:38:23

[ 3401/262144] Loss: 0.963 - Accuracy: 0.709 | LearningRate: 0.00977 | StepTime: 43.994201s - Rate: 237,674.6 Tokens/s

2022-11-04 05:39:07

[ 3405/262144] Loss: 0.968 - Accuracy: 0.708 | LearningRate: 0.00977 | StepTime: 44.004547s - Rate: 237,258.2 Tokens/s

2022-11-04 05:39:51

[ 3409/262144] Loss: 0.954 - Accuracy: 0.712 | LearningRate: 0.00977 | StepTime: 44.005141s - Rate: 236,844.0 Tokens/s

2022-11-04 05:40:35

[ 3413/262144] Loss: 0.964 - Accuracy: 0.709 | LearningRate: 0.00976 | StepTime: 43.983130s - Rate: 236,432.7 Tokens/s

2022-11-04 05:41:19

[ 3417/262144] Loss: 0.955 - Accuracy: 0.712 | LearningRate: 0.00976 | StepTime: 43.993961s - Rate: 236,023.7 Tokens/s

2022-11-04 05:42:03

[ 3421/262144] Loss: 0.948 - Accuracy: 0.713 | LearningRate: 0.00976 | StepTime: 43.992448s - Rate: 235,617.1 Tokens/s

2022-11-04 05:42:47

[ 3425/262144] Loss: 0.961 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.987965s - Rate: 235,212.8 Tokens/s

2022-11-04 05:43:31

[ 3429/262144] Loss: 0.970 - Accuracy: 0.707 | LearningRate: 0.00976 | StepTime: 43.999740s - Rate: 234,810.8 Tokens/s

2022-11-04 05:44:16

[ 3433/262144] Loss: 0.949 - Accuracy: 0.713 | LearningRate: 0.00976 | StepTime: 44.002415s - Rate: 234,410.9 Tokens/s

2022-11-04 05:45:00

[ 3437/262144] Loss: 0.956 - Accuracy: 0.711 | LearningRate: 0.00976 | StepTime: 44.017368s - Rate: 234,013.2 Tokens/s

2022-11-04 05:45:44

[ 3441/262144] Loss: 0.961 - Accuracy: 0.709 | LearningRate: 0.00976 | StepTime: 43.991261s - Rate: 233,618.0 Tokens/s

2022-11-04 05:46:28

[ 3445/262144] Loss: 0.962 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.992597s - Rate: 233,225.1 Tokens/s

2022-11-04 05:47:12

[ 3449/262144] Loss: 0.961 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.966311s - Rate: 232,834.8 Tokens/s

2022-11-04 05:47:56

[ 3453/262144] Loss: 0.957 - Accuracy: 0.711 | LearningRate: 0.00976 | StepTime: 43.962534s - Rate: 232,446.5 Tokens/s

2022-11-04 05:48:40

[ 3457/262144] Loss: 0.973 - Accuracy: 0.707 | LearningRate: 0.00976 | StepTime: 43.991106s - Rate: 232,060.2 Tokens/s

2022-11-04 05:49:24

[ 3461/262144] Loss: 0.958 - Accuracy: 0.709 | LearningRate: 0.00976 | StepTime: 43.976519s - Rate: 231,676.4 Tokens/s

2022-11-04 05:50:08

[ 3465/262144] Loss: 0.952 - Accuracy: 0.712 | LearningRate: 0.00976 | StepTime: 43.968221s - Rate: 231,294.8 Tokens/s

2022-11-04 05:50:52

[ 3469/262144] Loss: 0.948 - Accuracy: 0.714 | LearningRate: 0.00976 | StepTime: 43.981642s - Rate: 230,915.2 Tokens/s

2022-11-04 05:51:36

[ 3473/262144] Loss: 0.960 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.989550s - Rate: 230,537.5 Tokens/s

2022-11-04 05:52:20

[ 3477/262144] Loss: 0.961 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.985290s - Rate: 230,162.0 Tokens/s

2022-11-04 05:53:04

[ 3481/262144] Loss: 0.948 - Accuracy: 0.714 | LearningRate: 0.00976 | StepTime: 43.982296s - Rate: 229,788.7 Tokens/s

2022-11-04 05:53:48

[ 3485/262144] Loss: 0.963 - Accuracy: 0.709 | LearningRate: 0.00976 | StepTime: 43.987935s - Rate: 229,417.3 Tokens/s

2022-11-04 05:54:32

[ 3489/262144] Loss: 0.971 - Accuracy: 0.707 | LearningRate: 0.00976 | StepTime: 43.996082s - Rate: 229,047.8 Tokens/s

2022-11-04 05:51:36

[ 3473/262144] Loss: 0.960 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.991481s - Rate: 230,602.1 Tokens/s

2022-11-04 05:52:20

[ 3477/262144] Loss: 0.961 - Accuracy: 0.710 | LearningRate: 0.00976 | StepTime: 43.998385s - Rate: 230,226.1 Tokens/s

2022-11-04 05:53:04

[ 3481/262144] Loss: 0.948 - Accuracy: 0.714 | LearningRate: 0.00976 | StepTime: 43.980110s - Rate: 229,852.5 Tokens/s

2022-11-04 05:53:48

[ 3485/262144] Loss: 0.963 - Accuracy: 0.709 | LearningRate: 0.00976 | StepTime: 43.979403s - Rate: 229,480.8 Tokens/s

2022-11-04 05:54:32

[ 3489/262144] Loss: 0.971 - Accuracy: 0.707 | LearningRate: 0.00976 | StepTime: 43.969912s - Rate: 229,111.3 Tokens/s