metadata
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-25T17:20:05'
project_name: fp_bs16_lr5_x8_emissions_tracker
run_id: 503e501c-8b33-44b8-9cef-4fac69b0f7d1
duration: 196705.34432196617
emissions: 0.1286804665544536
emissions_rate: 6.54178802299495e-7
cpu_power: 42.5
gpu_power: 0
ram_power: 7.5
cpu_energy: 2.3222117956113446
gpu_energy: 0
ram_energy: 0.4097995534991225
energy_consumed: 2.7320113491104987
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) | 196705.34432196617 |
Emissions (Co2eq in kg) | 0.1286804665544536 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 7.5 |
CPU energy (kWh) | 2.3222117956113446 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.4097995534991225 |
Consumed energy (kWh) | 2.7320113491104987 |
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) | 0.37865778781978493 |
Emissions (Co2eq in kg) | 0.07704292652610341 |
Note
23 May 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | fp_bs16_lr5_x8 |
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 | 41218 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 14.686598 | 11.886746 |
0.5 | 3.998385 | 3.649665 |
1.0 | 3.490367 | 3.393353 |
1.5 | 3.290890 | 3.255204 |
2.0 | 3.157838 | 3.152300 |
2.5 | 3.069295 | 3.055032 |
3.0 | 2.990106 | 3.000328 |
3.5 | 2.920427 | 2.949885 |
4.0 | 2.863116 | 2.891974 |
4.5 | 2.807602 | 2.853656 |
5.0 | 2.761196 | 2.817136 |
5.5 | 2.738286 | 2.776668 |
6.0 | 2.707156 | 2.769844 |