fp_bs8_lr1e4_x8 / README.md
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metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-07-10T04:12:52'
  project_name: fp_bs8_lr1e4_x8_emissions_tracker
  run_id: 7cbf1766-cc3f-448f-92d9-43063f93032c
  duration: 189199.7375972271
  emissions: 0.142335761664038
  emissions_rate: 7.523042234183529e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 15
  cpu_energy: 2.233602746842287
  gpu_energy: 0
  ram_energy: 0.7883237868626974
  energy_consumed: 3.0219265337049763
  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) 189199.7375972271
Emissions (Co2eq in kg) 0.142335761664038
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 15.0
CPU energy (kWh) 2.233602746842287
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.7883237868626974
Consumed energy (kWh) 3.0219265337049763
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) 0.36420949487466214
Emissions (Co2eq in kg) 0.07410323055891394

Note

5 juillet 2024 !

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs8_lr1e4_x8
sequence_length 400
num_epoch 6
learning_rate 0.0001
batch_size 8
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 81689

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.831572 15.107053
0.5 4.180298 3.747577
1.0 3.563155 3.459220
1.5 3.335922 3.296716
2.0 3.380067 6.984087
2.5 6.973961 6.969550
3.0 6.971643 6.979950
3.5 6.971316 6.981630
4.0 6.979162 6.988373
4.5 6.982184 6.984194
5.0 6.977189 6.987575
5.5 6.979103 6.984643
6.0 6.976059 6.986024