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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-14T03:32:45'
  project_name: ThunBERT_bs32_lr6_MLM_emissions_tracker
  run_id: 8a0490ab-5f3a-4a26-8de3-a900f0dd6a0a
  duration: 235473.367398262
  emissions: 0.2464658791690032
  emissions_rate: 0.0000010466826116779027
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 37.5
  cpu_energy: 2.7798878126818387
  gpu_energy: 0
  ram_energy: 2.4528223032181424
  energy_consumed: 5.232710115899944
  country_name: Switzerland
  country_iso_code: CHE
  region: .nan
  cloud_provider: .nan
  cloud_region: .nan
  os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34
  python_version: 3.10.4
  codecarbon_version: 2.3.4
  cpu_count: 4
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 100
  tracking_mode: machine
  on_cloud: 'N'
  pue: 1

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 235473.367398262
Emissions (Co2eq in kg) 0.2464658791690032
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 37.5
CPU energy (kWh) 2.7798878126818387
GPU energy (kWh) [No GPU]
RAM energy (kWh) 2.4528223032181424
Consumed energy (kWh) 5.232710115899944
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 4
CPU model Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
GPU count nan
GPU model nan

Environmental Impact (for one core)

Metric Value
CPU energy (kWh) 0.45328623224165426
Emissions (Co2eq in kg) 0.0922270688976526

Note

11 May 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ThunBERT_bs32_lr6_MLM
sequence_length 400
num_epoch 6
learning_rate 5e-06
batch_size 32
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 20697

Training and Testing steps

Epoch Train Loss Test Loss
0.0 11.041288 9.034583
0.5 2.785885 2.666669
1.0 2.624746 2.589643
1.5 2.561836 2.539555
2.0 2.526150 2.511527
2.5 2.504812 2.493704
3.0 2.477588 2.483953
3.5 2.461472 2.459754
4.0 2.446118 2.450552
4.5 2.425881 2.443312
5.0 2.429715 2.434400
5.5 2.418076 2.426935
6.0 2.411877 2.422068