| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-16T22:33:13' |
| | project_name: ft_bs16_lr7_base_emissions_tracker |
| | run_id: 4a3aebd8-5753-45a3-af09-6c0aad5dece5 |
| | duration: 22631.866507530212 |
| | emissions: 0.0139169743825858 |
| | emissions_rate: 6.149282640013517e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 4.500000000000001 |
| | cpu_energy: 0.267181290489766 |
| | gpu_energy: 0 |
| | ram_energy: 0.0282895993551612 |
| | energy_consumed: 0.2954708898449266 |
| | 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: 12 |
| | tracking_mode: machine |
| | on_cloud: N |
| | pue: 1.0 |
| | --- |
| | |
| | ## Environmental Impact (CODE CARBON DEFAULT) |
| |
|
| | | Metric | Value | |
| | |--------------------------|---------------------------------| |
| | | Duration (in seconds) | 22631.866507530212 | |
| | | Emissions (Co2eq in kg) | 0.0139169743825858 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 4.500000000000001 | |
| | | CPU energy (kWh) | 0.267181290489766 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0282895993551612 | |
| | | Consumed energy (kWh) | 0.2954708898449266 | |
| | | 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) | 0.04356634302699566 | |
| | | Emissions (Co2eq in kg) | 0.008864147715449333 | |
| |
|
| | ## Note |
| |
|
| | 16 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_bs16_lr7_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 10 | |
| | | learning_rate | 5e-07 | |
| | | 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 | 54300 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss | Accuracy | Recall |
| | ---|---|---|---|--- |
| | | 0 | 0.629086 | 0.590556 | 0.692194 | 0.911043 | |
| | | 1 | 0.548482 | 0.540004 | 0.726068 | 0.872699 | |
| | | 2 | 0.501704 | 0.512447 | 0.754786 | 0.886503 | |
| | | 3 | 0.459357 | 0.494099 | 0.770250 | 0.857362 | |
| | | 4 | 0.416389 | 0.479099 | 0.789396 | 0.869632 | |
| | | 5 | 0.380655 | 0.477198 | 0.782032 | 0.888037 | |
| | | 6 | 0.344400 | 0.471280 | 0.786451 | 0.880368 | |
| | | 7 | 0.310361 | 0.469706 | 0.785714 | 0.869632 | |
| | | 8 | 0.280115 | 0.481110 | 0.781296 | 0.869632 | |
| | | 9 | 0.250575 | 0.481127 | 0.770987 | 0.817485 | |
| | |
