| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-22T18:59:41' |
| | project_name: ft_32_2e6_base_emissions_tracker |
| | run_id: 694bc11f-d030-4abe-92ab-89c8e32efac1 |
| | duration: 94566.8026907444 |
| | emissions: 0.0572237513240666 |
| | emissions_rate: 6.051145824523826e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 3.75 |
| | cpu_energy: 1.1164102884280973 |
| | gpu_energy: 0 |
| | ram_energy: 0.09850555888017 |
| | energy_consumed: 1.2149158473082664 |
| | 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: 2 |
| | cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| | gpu_count: .nan |
| | gpu_model: .nan |
| | longitude: .nan |
| | latitude: .nan |
| | ram_total_size: 10 |
| | tracking_mode: machine |
| | on_cloud: N |
| | pue: 1.0 |
| | --- |
| | |
| | ## Environmental Impact (CODE CARBON DEFAULT) |
| |
|
| | | Metric | Value | |
| | |--------------------------|---------------------------------| |
| | | Duration (in seconds) | 94566.8026907444 | |
| | | Emissions (Co2eq in kg) | 0.0572237513240666 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 1.1164102884280973 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.09850555888017 | |
| | | Consumed energy (kWh) | 1.2149158473082664 | |
| | | Country name | Switzerland | |
| | | Cloud provider | nan | |
| | | Cloud region | nan | |
| | | CPU count | 2 | |
| | | 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) | 0.18204109517968298 | |
| | | Emissions (Co2eq in kg) | 0.03703866438720822 | |
| |
|
| | ## Note |
| |
|
| | 21 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_32_2e6_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 2e-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 | 32586 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss | Accuracy | Recall |
| | ---|---|---|---|--- |
| | | 0 | 0.566979 | 0.493775 | 0.769300 | 0.826475 | |
| | | 1 | 0.433719 | 0.412018 | 0.817031 | 0.850808 | |
| | | 2 | 0.357331 | 0.387126 | 0.825282 | 0.869627 | |
| | | 3 | 0.293457 | 0.401614 | 0.822777 | 0.850921 | |
| | | 4 | 0.237306 | 0.430223 | 0.810255 | 0.821977 | |
| | | 5 | 0.185810 | 0.469887 | 0.799501 | 0.834173 | |
| | |
