fp_bs64_lr1e4_x12 / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-07-09T23:42:07'
  project_name: fp_bs64_lr1e4_x12_emissions_tracker
  run_id: c41e1c70-6493-42e4-a115-2355818315ee
  duration: 172955.20035648346
  emissions: 0.1301149026221378
  emissions_rate: 7.523040784778596e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 15
  cpu_energy: 2.04182729538464
  gpu_energy: 0
  ram_energy: 0.7206385253439356
  energy_consumed: 2.762465820728602
  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: 6
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 40
  tracking_mode: machine
  on_cloud: 'N'
  pue: 1

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 172955.20035648346
Emissions (Co2eq in kg) 0.1301149026221378
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.04182729538464
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.7206385253439356
Consumed energy (kWh) 2.762465820728602
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 6
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) 0.33293876068623063
Emissions (Co2eq in kg) 0.06774078680628935

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs64_lr1e4_x12
sequence_length 400
num_epoch 6
learning_rate 0.0001
batch_size 64
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 10289

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.433271 12.024160
0.5 4.635513 4.061811
1.0 3.901644 3.802206
1.5 3.693166 3.640151
2.0 3.551293 3.528815
2.5 3.437757 3.441263
3.0 3.354081 3.361067
3.5 3.281735 3.294816
4.0 3.207570 3.241047
4.5 3.157908 3.185155
5.0 3.094043 3.137737
5.5 3.043096 3.108606
6.0 3.022927 3.080988