--- 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 |