fp_bs32_lr1e4_x12 / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-07-10T00:18:13'
  project_name: fp_bs32_lr1e4_x12_emissions_tracker
  run_id: 9012fff9-faff-42fa-b025-d18a1a65f30e
  duration: 175121.24815154076
  emissions: 0.1317444460251954
  emissions_rate: 7.523041744836736e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 15
  cpu_energy: 2.067398566896375
  gpu_energy: 0
  ram_energy: 0.7296640437742051
  energy_consumed: 2.797062610670589
  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) 175121.24815154076
Emissions (Co2eq in kg) 0.1317444460251954
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.067398566896375
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.7296640437742051
Consumed energy (kWh) 2.797062610670589
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) 0.33710840269171594
Emissions (Co2eq in kg) 0.06858915552602012

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs32_lr1e4_x12
sequence_length 400
num_epoch 6
learning_rate 0.0001
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 20901

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.872126 13.735940
0.5 6.386897 5.079839
1.0 4.653636 4.349464
1.5 4.171058 4.051651
2.0 3.920348 3.843623
2.5 3.747271 3.702199
3.0 3.617138 3.584946
3.5 3.498743 3.506715
4.0 3.405662 3.418541
4.5 3.324785 3.338864
5.0 3.256700 3.284406
5.5 3.202370 3.229974
6.0 3.153597 3.203455