ft_16_2e6_base / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-22T12:49:26'
  project_name: ft_16_2e6_base_emissions_tracker
  run_id: 4c3a0b2f-331d-494b-9aae-7dd7f9b1a9f2
  duration: 72292.58600878716
  emissions: 0.0437453634460759
  emissions_rate: 6.051154877867931e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 3.75
  cpu_energy: 0.8534524710832389
  gpu_energy: 0
  ram_energy: 0.0753041040653985
  energy_consumed: 0.9287565751486369
  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) 72292.58600878716
Emissions (Co2eq in kg) 0.0437453634460759
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 0.8534524710832389
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0753041040653985
Consumed energy (kWh) 0.9287565751486369
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) 0.13916322806691525
Emissions (Co2eq in kg) 0.028314596186774968

Note

21 May 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ft_16_2e6_base
sequence_length 400
num_epoch 6
learning_rate 2e-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 0.544336 0.477866 0.767240 0.803225
1 0.396334 0.386530 0.827345 0.877139
2 0.321938 0.380702 0.832649 0.840887
3 0.258635 0.413110 0.816591 0.838604
4 0.215591 0.433801 0.812760 0.825242
5 0.162357 0.478323 0.809816 0.807659