ft_16_1e6_base / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-22T11:31:06'
  project_name: ft_16_1e6_base_emissions_tracker
  run_id: c987d7ad-c646-4380-8797-f9eaa5b47769
  duration: 67712.96358895302
  emissions: 0.0409741595063809
  emissions_rate: 6.051154363160325e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 3.75
  cpu_energy: 0.7993875543463544
  gpu_energy: 0
  ram_energy: 0.0705336682684716
  energy_consumed: 0.8699212226148262
  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: 2
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 10
  tracking_mode: machine
  on_cloud: 'N'
  pue: 1

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 67712.96358895302
Emissions (Co2eq in kg) 0.0409741595063809
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.7993875543463544
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0705336682684716
Consumed energy (kWh) 0.8699212226148262
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 2
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) 0.13034745490873456
Emissions (Co2eq in kg) 0.026520910739006597

Note

21 May 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_16_1e6_base
sequence_length 400
num_epoch 6
learning_rate 1e-06
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 32586

Training and Testing steps

Epoch Train Loss Test Loss Accuracy Recall
0 0.585760 0.506497 0.758684 0.863976
1 0.455673 0.426805 0.806273 0.827536
2 0.385133 0.391296 0.821448 0.816982
3 0.340157 0.381730 0.828961 0.861879
4 0.298933 0.385058 0.831023 0.834253
5 0.258766 0.392635 0.825573 0.849310