Model save

emissions.csv

@@ -5,3 +5,4 @@ timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_
 2022-05-05T16:45:58,ef3cf220-dd7d-4101-8f2e-5b58125d0f6a,codecarbon,4.533631801605225,0.00011988175208065735,0.0002116930109141045,USA,USA,Iowa,Y,gcp,us-central1
 2022-05-05T16:49:10,d2831db0-f95d-4aec-bbd0-5241d2505f54,codecarbon,4.5968592166900635,0.00010660969900888212,0.00018825657603546201,USA,USA,Iowa,Y,gcp,us-central1
 2022-05-05T17:32:21,595a622e-ed46-407f-95ef-aee33f1bdf6d,codecarbon,4.391920328140259,9.467203556285354e-05,0.0001671764710627822,USA,USA,Iowa,Y,gcp,us-central1
+2022-05-06T12:33:23,0abaa966-88f4-4f21-8e98-d264089c066a,codecarbon,68131.37071728706,3.2096768301463037,5.667802984542299,USA,USA,Iowa,Y,gcp,us-central1

pytorch_model.bin

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runs/May05_17-36-54_sanchit--v100/events.out.tfevents.1651772268.sanchit--v100.74387.0

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wandb/run-20220505_173748-b097rk18/files/config.yaml

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     python_version: 3.9.5
     start_time: 1651772268
     t:

wandb/run-20220505_173748-b097rk18/logs/debug-internal.log

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wandb/run-20220505_173748-b097rk18/run-b097rk18.wandb

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