fp_bs64_lr2e4_x12 / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-07-12T07:26:52'
  project_name: fp_bs64_lr2e4_x12_emissions_tracker
  run_id: 56ce82ec-a18f-43bf-a3b5-5ecd0fb28ba3
  duration: 135136.80431556702
  emissions: 0.1016640881195406
  emissions_rate: 7.523049596624915e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 15
  cpu_energy: 1.5953620771962724
  gpu_energy: 0
  ram_energy: 0.5630653048028559
  energy_consumed: 2.158427381999122
  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) 135136.80431556702
Emissions (Co2eq in kg) 0.1016640881195406
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 1.5953620771962724
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.5630653048028559
Consumed energy (kWh) 2.158427381999122
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) 0.2601383483074665
Emissions (Co2eq in kg) 0.05292858169026375

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs64_lr2e4_x12
sequence_length 400
num_epoch 6
learning_rate 0.0002
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 10376

Training and Testing steps

Epoch Train Loss Test Loss
0.0 13.300427 9.165630
0.5 7.093476 7.010190
1.0 6.999874 6.986215
1.5 6.976376 6.979395
2.0 6.961168 6.971322
2.5 6.955915 6.957881
3.0 6.956516 6.954181
3.5 6.950391 6.954473
4.0 6.945052 6.952713
4.5 6.939220 6.941207
5.0 6.935340 6.947393
5.5 6.928922 6.939991
6.0 6.930875 6.943215