fp_bs16_lr5_x12 / README.md
damgomz's picture
Upload README.md with huggingface_hub
9a04d13 verified
metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-26T00:38:14'
  project_name: fp_bs16_lr5_x12_emissions_tracker
  run_id: 557e27cc-adef-479c-a20c-6970855ed1de
  duration: 222866.85863924024
  emissions: 0.1457947876827563
  emissions_rate: 6.541788607464411e-7
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 7.5
  cpu_energy: 2.631062660888663
  gpu_energy: 0
  ram_energy: 0.4643023564731083
  energy_consumed: 3.095365017361762
  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: 20
  tracking_mode: machine
  on_cloud: 'N'
  pue: 1

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 222866.85863924024
Emissions (Co2eq in kg) 0.1457947876827563
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 7.5
CPU energy (kWh) 2.631062660888663
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.4643023564731083
Consumed energy (kWh) 3.095365017361762
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) 0.42901870288053745
Emissions (Co2eq in kg) 0.0872895196337024

Note

23 May 2024

My Config

Config Value
checkpoint albert-base-v2
model_name fp_bs16_lr5_x12
sequence_length 400
num_epoch 6
learning_rate 5e-05
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 41000

Training and Testing steps

Epoch Train Loss Test Loss
0.0 14.295301 12.482946
0.5 4.443896 4.057067
1.0 3.877533 3.758476
1.5 3.668416 3.583658
2.0 3.503176 3.484722
2.5 3.389894 3.390494
3.0 3.301312 3.316528
3.5 3.224943 3.247083
4.0 3.163777 3.191901
4.5 3.100430 3.137891
5.0 3.057275 3.098351
5.5 3.018283 3.066965
6.0 2.985183 3.051055