fp_bs16_lr2e4_x12 / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-07-12T03:00:13'
  project_name: fp_bs16_lr2e4_x12_emissions_tracker
  run_id: 2b51b6a6-5307-45db-8359-c07184a2820e
  duration: 119137.7012438774
  emissions: 0.0896279481670709
  emissions_rate: 7.523055022154622e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 15
  cpu_energy: 1.4064846285392896
  gpu_energy: 0
  ram_energy: 0.4964038062512893
  energy_consumed: 1.9028884347905757
  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) 119137.7012438774
Emissions (Co2eq in kg) 0.0896279481670709
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 1.4064846285392896
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.4964038062512893
Consumed energy (kWh) 1.9028884347905757
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) 0.22934007489446398
Emissions (Co2eq in kg) 0.04666226632051865

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs16_lr2e4_x12
sequence_length 400
num_epoch 6
learning_rate 0.0002
batch_size 16
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 41642

Training and Testing steps

Epoch Train Loss Test Loss
0.0 13.230221 11.627857
0.5 7.092510 7.034938
1.0 7.179663 7.047425
1.5 7.029787 7.027430
2.0 7.020603 7.022997
2.5 7.005473 7.011000
3.0 7.005945 7.002463
3.5 6.988702 6.993661
4.0 6.983983 6.988350
4.5 6.971855 6.977217
5.0 6.966850 6.973620
5.5 6.958171 6.965670
6.0 6.953304 6.962006