BERTrand_bs16_lr5 / README.md
damgomz's picture
Upload README.md with huggingface_hub
997b511 verified
metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-03T20:37:09'
  project_name: BERTrand_bs16_lr5_emissions_tracker
  run_id: 49c906ec-058d-4552-a3a9-71ef3ba22844
  duration: 190422.01247096065
  emissions: 0.1993119180945443
  emissions_rate: 0.000001046685283430346
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 37.5
  cpu_energy: 2.2480348206905836
  gpu_energy: 0
  ram_energy: 1.9835508801341004
  energy_consumed: 4.231585700824702
  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: 4
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 100
  tracking_mode: machine
  on_cloud: 'N'
  pue: 1

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 190422.01247096065
Emissions (Co2eq in kg) 0.1993119180945443
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 37.5
CPU energy (kWh) 2.2480348206905836
GPU energy (kWh) [No GPU]
RAM energy (kWh) 1.9835508801341004
Consumed energy (kWh) 4.231585700824702
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 4
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) 0.3665623740065992
Emissions (Co2eq in kg) 0.07458195488445958

Note

30 April 2024

My Config

Config Value
checkpoint albert-base-v2
model_name BERTrand_bs16_lr5
sequence_length 400
num_epoch 12
learning_rate 5e-05
batch_size 16
weight_decay 0.0
warm_up_prop 0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 12590

Training and Testing steps

Epoch Train Loss Test Loss
0.0 15.505644 13.835570
0.5 2.703247 3.216191
1.0 2.525614 3.149906
1.5 2.203586 3.040256
2.0 2.160747 2.952961
2.5 2.370840 2.949682
3.0 2.350076 2.925128
3.5 2.110838 2.981181
4.0 1.903310 2.836523
4.5 2.270815 2.814076
5.0 2.256549 2.848042
5.5 2.214569 2.812752
6.0 1.896058 2.755932
6.5 2.082173 2.737672
7.0 2.156056 2.711664
7.5 2.133011 2.690121
8.0 1.826039 2.718429
8.5 1.919896 2.646301
9.0 2.058763 2.616522
9.5 2.088796 2.676844
10.0 1.848681 2.622713
10.5 1.776635 2.581153
11.0 2.059736 2.579319
11.5 2.055293 2.591116
12.0 1.912107 2.555768