damgomz's picture
Upload README.md with huggingface_hub
bfac1ea verified
metadata
language: en
tags:
  - fill-mask
kwargs:
  timestamp: '2024-05-14T00:01:34'
  project_name: ThunBERT_bs8_lr6_MLM_emissions_tracker
  run_id: dd47eaec-ddea-4d60-96f9-97f621b6b7ac
  duration: 223065.91824889183
  emissions: 0.2334794830116918
  emissions_rate: 0.000001046683800217211
  cpu_power: 42.5
  gpu_power: 0
  ram_power: 37.5
  cpu_energy: 2.6334121397880956
  gpu_energy: 0
  ram_energy: 2.323584166270997
  energy_consumed: 4.956996306059145
  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) 223065.91824889183
Emissions (Co2eq in kg) 0.2334794830116918
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 37.5
CPU energy (kWh) 2.6334121397880956
GPU energy (kWh) [No GPU]
RAM energy (kWh) 2.323584166270997
Consumed energy (kWh) 4.956996306059145
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) 0.4294018926291167
Emissions (Co2eq in kg) 0.08736748464748263

Note

11 May 2024

My Config

Config Value
checkpoint albert-base-v2
model_name ThunBERT_bs8_lr6_MLM
sequence_length 400
num_epoch 6
learning_rate 5e-06
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 82599

Training and Testing steps

Epoch Train Loss Test Loss
0.0 9.572789 8.904013
0.5 2.721201 2.621082
1.0 2.571123 2.540323
1.5 2.501097 2.498298
2.0 2.474394 2.462365
2.5 2.439725 2.431248
3.0 2.406418 2.416753
3.5 2.394601 2.402248
4.0 2.376476 2.380821
4.5 2.358106 2.375012
5.0 2.358450 2.366301
5.5 2.346000 2.356987
6.0 2.341180 2.353812