--- language: en tags: - fill-mask kwargs: timestamp: '2024-05-21T09:41:08' project_name: ft_bs32_lr7_emissions_tracker run_id: 7df47c9f-edcb-491b-9acf-2556dca637cf duration: 43000.5123796463 emissions: 0.0260202900240496 emissions_rate: 6.051158133726319e-07 cpu_power: 42.5 gpu_power: 0.0 ram_power: 3.75 cpu_energy: 0.5076441678499181 gpu_energy: 0 ram_energy: 0.0447918743583064 energy_consumed: 0.552436042208225 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) | 43000.5123796463 | | Emissions (Co2eq in kg) | 0.0260202900240496 | | CPU power (W) | 42.5 | | GPU power (W) | [No GPU] | | RAM power (W) | 3.75 | | CPU energy (kWh) | 0.5076441678499181 | | GPU energy (kWh) | [No GPU] | | RAM energy (kWh) | 0.0447918743583064 | | Consumed energy (kWh) | 0.552436042208225 | | 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) | 0.08277598633081912 | | Emissions (Co2eq in kg) | 0.016841867348694802 | ## Note 20 May 2024 ## My Config | Config | Value | |--------------------------|-----------------| | checkpoint | damgomz/ThunBERT_bs32_lr5 | | model_name | ft_bs32_lr7 | | sequence_length | 400 | | num_epoch | 15 | | learning_rate | 5e-07 | | 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 | 81450 | ## Training and Testing steps Epoch | Train Loss | Test Loss | Accuracy | Recall ---|---|---|---|--- | 0 | 0.680588 | 0.646982 | 0.677467 | 0.702454 | | 1 | 0.624558 | 0.591346 | 0.713549 | 0.828221 | | 2 | 0.564626 | 0.546430 | 0.724595 | 0.845092 | | 3 | 0.519794 | 0.511619 | 0.751841 | 0.877301 | | 4 | 0.479625 | 0.475598 | 0.772459 | 0.863497 | | 5 | 0.442220 | 0.445813 | 0.790869 | 0.881902 | | 6 | 0.409914 | 0.422924 | 0.811487 | 0.888037 | | 7 | 0.382897 | 0.401185 | 0.821060 | 0.855828 | | 8 | 0.364462 | 0.391025 | 0.836524 | 0.894172 | | 9 | 0.350190 | 0.382594 | 0.835052 | 0.878834 | | 10 | 0.339535 | 0.377568 | 0.838733 | 0.866564 | | 11 | 0.326723 | 0.378933 | 0.835788 | 0.888037 | | 12 | 0.315857 | 0.373457 | 0.840206 | 0.872699 | | 13 | 0.303447 | 0.374891 | 0.840943 | 0.875767 | | 14 | 0.295246 | 0.372149 | 0.839470 | 0.861963 |