| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-16T20:38:19' |
| | project_name: ft_bs64_lr7_base_emissions_tracker |
| | run_id: bea8cf00-389c-4ff2-b2aa-78904c18e5b1 |
| | duration: 15632.51683139801 |
| | emissions: 0.0102264592683038 |
| | emissions_rate: 6.541786827162661e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 7.5 |
| | cpu_energy: 0.18455020764586 |
| | gpu_energy: 0 |
| | ram_energy: 0.0325674600958824 |
| | energy_consumed: 0.2171176677417424 |
| | 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: 3 |
| | cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| | gpu_count: .nan |
| | gpu_model: .nan |
| | longitude: .nan |
| | latitude: .nan |
| | ram_total_size: 20 |
| | tracking_mode: machine |
| | on_cloud: N |
| | pue: 1.0 |
| | --- |
| | |
| | ## Environmental Impact (CODE CARBON DEFAULT) |
| |
|
| | | Metric | Value | |
| | |--------------------------|---------------------------------| |
| | | Duration (in seconds) | 15632.51683139801 | |
| | | Emissions (Co2eq in kg) | 0.0102264592683038 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 7.5 | |
| | | CPU energy (kWh) | 0.18455020764586 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0325674600958824 | |
| | | Consumed energy (kWh) | 0.2171176677417424 | |
| | | Country name | Switzerland | |
| | | Cloud provider | nan | |
| | | Cloud region | nan | |
| | | CPU count | 3 | |
| | | 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) | 0.030092594900441166 | |
| | | Emissions (Co2eq in kg) | 0.00612273575896422 | |
| |
|
| | ## Note |
| |
|
| | 16 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_bs64_lr7_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 10 | |
| | | learning_rate | 5e-07 | |
| | | batch_size | 64 | |
| | | weight_decay | 0.0 | |
| | | warm_up_prop | 0.0 | |
| | | drop_out_prob | 0.1 | |
| | | packing_length | 100 | |
| | | train_test_split | 0.2 | |
| | | num_steps | 54300 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss | Accuracy | Recall |
| | ---|---|---|---|--- |
| | | 0 | 0.632340 | 0.605113 | 0.685567 | 0.815951 | |
| | | 1 | 0.586177 | 0.575657 | 0.709867 | 0.831288 | |
| | | 2 | 0.546068 | 0.549037 | 0.737850 | 0.803681 | |
| | | 3 | 0.509133 | 0.523782 | 0.750368 | 0.774540 | |
| | | 4 | 0.474285 | 0.502116 | 0.763623 | 0.773006 | |
| | | 5 | 0.440148 | 0.482997 | 0.782769 | 0.808282 | |
| | | 6 | 0.411904 | 0.476160 | 0.771723 | 0.748466 | |
| | | 7 | 0.377375 | 0.467880 | 0.787923 | 0.831288 | |
| | | 8 | 0.345489 | 0.474640 | 0.776878 | 0.838957 | |
| | | 9 | 0.314638 | 0.477554 | 0.773932 | 0.809816 | |
| | |
