|
--- |
|
language: en |
|
tags: |
|
- fill-mask |
|
kwargs: |
|
timestamp: '2024-07-13T19:11:59' |
|
project_name: fp_bs1_lr2e4_x1_emissions_tracker |
|
run_id: 02821f97-56ee-44e9-81ef-2b21b2aed806 |
|
duration: 263843.3311007023 |
|
emissions: 0.1984906342279608 |
|
emissions_rate: 7.523049129189547e-07 |
|
cpu_power: 42.5 |
|
gpu_power: 0.0 |
|
ram_power: 15.0 |
|
cpu_energy: 3.114811294805353 |
|
gpu_energy: 0 |
|
ram_energy: 1.0993377514560996 |
|
energy_consumed: 4.214149046261455 |
|
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: 1.0 |
|
--- |
|
|
|
## Environmental Impact (CODE CARBON DEFAULT) |
|
|
|
| Metric | Value | |
|
|--------------------------|---------------------------------| |
|
| Duration (in seconds) | 263843.3311007023 | |
|
| Emissions (Co2eq in kg) | 0.1984906342279608 | |
|
| CPU power (W) | 42.5 | |
|
| GPU power (W) | [No GPU] | |
|
| RAM power (W) | 15.0 | |
|
| CPU energy (kWh) | 3.114811294805353 | |
|
| GPU energy (kWh) | [No GPU] | |
|
| RAM energy (kWh) | 1.0993377514560996 | |
|
| Consumed energy (kWh) | 4.214149046261455 | |
|
| 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) | 0.5078984123688518 | |
|
| Emissions (Co2eq in kg) | 0.10333863801444171 | |
|
|
|
## Note |
|
|
|
5 juillet 2024 ! |
|
|
|
## My Config |
|
|
|
| Config | Value | |
|
|--------------------------|-----------------| |
|
| checkpoint | albert-base-v2 | |
|
| model_name | fp_bs1_lr2e4_x1 | |
|
| sequence_length | 400 | |
|
| num_epoch | 6 | |
|
| learning_rate | 0.0002 | |
|
| batch_size | 1 | |
|
| weight_decay | 0.0 | |
|
| warm_up_prop | 0.0 | |
|
| drop_out_prob | 0.1 | |
|
| packing_length | 100 | |
|
| train_test_split | 0.2 | |
|
| num_steps | 662267 | |
|
|
|
## Training and Testing steps |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Epoch | Train Loss | Test Loss |
|
---|---|--- |
|
| 0.0 | 5.291330 | 7.244354 | |
|
| 0.5 | 7.312287 | 7.156171 | |
|
| 1.0 | 7.927555 | 7.773799 | |
|
| 1.5 | 7.415631 | 7.158134 | |
|
| 2.0 | 7.157891 | 7.152814 | |
|
| 2.5 | 7.166188 | 7.101567 | |
|
| 3.0 | 7.249720 | 7.344941 | |
|
| 3.5 | 7.257433 | 7.245907 | |
|
| 4.0 | 7.212815 | 7.212983 | |
|
| 4.5 | 7.164802 | 7.093598 | |
|
| 5.0 | 7.097352 | 7.029762 | |
|
| 5.5 | 9.956010 | 7.196218 | |
|
| 6.0 | 7.134232 | 7.104999 | |
|
|