|
--- |
|
language: en |
|
tags: |
|
- fill-mask |
|
kwargs: |
|
timestamp: '2024-05-17T17:46:44' |
|
project_name: ThunBERT_bs8_lr5_emissions_tracker |
|
run_id: 525cc3ea-c30d-41f0-83c7-26fb501d8395 |
|
duration: 199505.3919699192 |
|
emissions: 0.2088190820973 |
|
emissions_rate: 1.0466839018004345e-06 |
|
cpu_power: 42.5 |
|
gpu_power: 0.0 |
|
ram_power: 37.5 |
|
cpu_energy: 2.3552678664051694 |
|
gpu_energy: 0 |
|
ram_energy: 2.078164164704575 |
|
energy_consumed: 4.433432031109744 |
|
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: 1.0 |
|
--- |
|
|
|
## Environmental Impact (CODE CARBON DEFAULT) |
|
|
|
| Metric | Value | |
|
|--------------------------|---------------------------------| |
|
| Duration (in seconds) | 199505.3919699192 | |
|
| Emissions (Co2eq in kg) | 0.2088190820973 | |
|
| CPU power (W) | 42.5 | |
|
| GPU power (W) | [No GPU] | |
|
| RAM power (W) | 37.5 | |
|
| CPU energy (kWh) | 2.3552678664051694 | |
|
| GPU energy (kWh) | [No GPU] | |
|
| RAM energy (kWh) | 2.078164164704575 | |
|
| Consumed energy (kWh) | 4.433432031109744 | |
|
| 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) | 0.38404787954209446 | |
|
| Emissions (Co2eq in kg) | 0.07813961185488502 | |
|
|
|
## Note |
|
|
|
15 May 2024 |
|
|
|
## My Config |
|
|
|
| Config | Value | |
|
|--------------------------|-----------------| |
|
| checkpoint | albert-base-v2 | |
|
| model_name | ThunBERT_bs8_lr5 | |
|
| sequence_length | 400 | |
|
| num_epoch | 6 | |
|
| learning_rate | 5e-05 | |
|
| 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 | 82627 | |
|
|
|
## Training and Testing steps |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Epoch | Train Loss | Test Loss |
|
---|---|--- |
|
| 0.0 | 7.067743 | 3.953574 | |
|
| 0.5 | 3.522399 | 3.376064 | |
|
| 1.0 | 3.303520 | 3.226876 | |
|
| 1.5 | 3.154914 | 3.167486 | |
|
| 2.0 | 3.058335 | 3.051049 | |
|
| 2.5 | 2.983440 | 2.994546 | |
|
| 3.0 | 2.966602 | 2.926526 | |
|
| 3.5 | 2.846851 | 2.879127 | |
|
| 4.0 | 2.785210 | 2.832286 | |
|
| 4.5 | 2.718725 | 2.795912 | |
|
| 5.0 | 2.670722 | 2.733300 | |
|
| 5.5 | 2.628934 | 2.693741 | |
|
| 6.0 | 2.589258 | 2.672380 | |
|
|
