metadata
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-11T13:45:50'
project_name: ThunBERT_bs32_lr6_emissions_tracker
run_id: 158acdf5-a199-4aad-acba-1234e9a4bda5
duration: 168898.01966619492
emissions: 0.1767830264244105
emissions_rate: 0.0000010466850160457732
cpu_power: 42.5
gpu_power: 0
ram_power: 37.5
cpu_energy: 1.993932143230242
gpu_energy: 0
ram_energy: 1.75934329517683
energy_consumed: 3.753275438407052
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) | 168898.01966619492 |
Emissions (Co2eq in kg) | 0.1767830264244105 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 37.5 |
CPU energy (kWh) | 1.993932143230242 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 1.75934329517683 |
Consumed energy (kWh) | 3.753275438407052 |
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) | 0.32512868785742516 |
Emissions (Co2eq in kg) | 0.06615172436925967 |
Note
15 May 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ThunBERT_bs32_lr6 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 5e-06 |
batch_size | 32 |
weight_decay | 0.0 |
warm_up_prop | 0.0 |
drop_out_prob | 0.1 |
packing_length | 100 |
train_test_split | 0.2 |
num_steps | 20427 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 6.533427 | 5.411902 |
0.5 | 3.138879 | 3.017244 |
1.0 | 2.992936 | 2.933242 |
1.5 | 2.941352 | 2.887388 |
2.0 | 2.903994 | 2.857268 |
2.5 | 2.873236 | 2.842794 |
3.0 | 2.853003 | 2.823149 |
3.5 | 2.836404 | 2.804283 |
4.0 | 2.823654 | 2.797022 |
4.5 | 2.808353 | 2.784016 |
5.0 | 2.792922 | 2.781907 |
5.5 | 2.785201 | 2.784908 |