metadata
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-06-27T20:43:54'
project_name: fp_bs4_lr5_x8_emissions_tracker
run_id: 9c2b5b21-9750-4206-9569-387a2b7d15f8
duration: 208490.08250188828
emissions: 0.1568480215083055
emissions_rate: 7.523044723572641e-7
cpu_power: 42.5
gpu_power: 0
ram_power: 15
cpu_energy: 2.461335938281156
gpu_energy: 0
ram_energy: 0.8686999740839002
energy_consumed: 3.330035912365035
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) | 208490.08250188828 |
Emissions (Co2eq in kg) | 0.1568480215083055 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 15.0 |
CPU energy (kWh) | 2.461335938281156 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.8686999740839002 |
Consumed energy (kWh) | 3.330035912365035 |
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) | 0.4013434088161349 |
Emissions (Co2eq in kg) | 0.08165861564657291 |
Note
24 juin 2024 !
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | fp_bs4_lr5_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 5e-05 |
batch_size | 4 |
weight_decay | 0.0 |
warm_up_prop | 0.0 |
drop_out_prob | 0.1 |
packing_length | 100 |
train_test_split | 0.2 |
num_steps | 164073 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 13.089132 | 11.385561 |
0.5 | 4.059727 | 3.669117 |
1.0 | 3.514628 | 3.423268 |
1.5 | 3.314988 | 3.295123 |
2.0 | 3.175144 | 3.186192 |
2.5 | 3.077100 | 3.083530 |
3.0 | 2.998466 | 3.025474 |
3.5 | 2.926265 | 2.971895 |
4.0 | 2.864591 | 2.906877 |
4.5 | 2.803545 | 2.856923 |
5.0 | 2.747675 | 2.814351 |
5.5 | 2.699872 | 2.777204 |
6.0 | 2.671672 | 2.749017 |