| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-22T11:31:06' |
| | project_name: ft_16_1e6_base_emissions_tracker |
| | run_id: c987d7ad-c646-4380-8797-f9eaa5b47769 |
| | duration: 67712.96358895302 |
| | emissions: 0.0409741595063809 |
| | emissions_rate: 6.051154363160325e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 3.75 |
| | cpu_energy: 0.7993875543463544 |
| | gpu_energy: 0 |
| | ram_energy: 0.0705336682684716 |
| | energy_consumed: 0.8699212226148262 |
| | 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) | 67712.96358895302 | |
| | | Emissions (Co2eq in kg) | 0.0409741595063809 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 0.7993875543463544 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0705336682684716 | |
| | | Consumed energy (kWh) | 0.8699212226148262 | |
| | | 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) | 0.13034745490873456 | |
| | | Emissions (Co2eq in kg) | 0.026520910739006597 | |
| |
|
| | ## Note |
| |
|
| | 21 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_16_1e6_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 1e-06 | |
| | | batch_size | 16 | |
| | | 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 | 0.585760 | 0.506497 | 0.758684 | 0.863976 | |
| | | 1 | 0.455673 | 0.426805 | 0.806273 | 0.827536 | |
| | | 2 | 0.385133 | 0.391296 | 0.821448 | 0.816982 | |
| | | 3 | 0.340157 | 0.381730 | 0.828961 | 0.861879 | |
| | | 4 | 0.298933 | 0.385058 | 0.831023 | 0.834253 | |
| | | 5 | 0.258766 | 0.392635 | 0.825573 | 0.849310 | |
| | |
