| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-22T16:04:30' |
| | project_name: ft_32_1e6_base_emissions_tracker |
| | run_id: d6dbadc3-df15-4aca-90f3-da79b148286d |
| | duration: 84055.49200820923 |
| | emissions: 0.050863255182789 |
| | emissions_rate: 6.051151919712931e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 3.75 |
| | cpu_energy: 0.992319499941666 |
| | gpu_energy: 0 |
| | ram_energy: 0.0875568335287273 |
| | energy_consumed: 1.0798763334703938 |
| | 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) | 84055.49200820923 | |
| | | Emissions (Co2eq in kg) | 0.050863255182789 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 0.992319499941666 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0875568335287273 | |
| | | Consumed energy (kWh) | 1.0798763334703938 | |
| | | 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) | 0.16180682211580277 | |
| | | Emissions (Co2eq in kg) | 0.032921734369881946 | |
| |
|
| | ## Note |
| |
|
| | 21 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_32_1e6_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 1e-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 | 0.601054 | 0.541133 | 0.737178 | 0.841699 | |
| | | 1 | 0.497217 | 0.475979 | 0.778429 | 0.853965 | |
| | | 2 | 0.427722 | 0.442907 | 0.795959 | 0.866545 | |
| | | 3 | 0.370634 | 0.431111 | 0.797575 | 0.823108 | |
| | | 4 | 0.322800 | 0.436151 | 0.801262 | 0.808254 | |
| | | 5 | 0.273025 | 0.449454 | 0.796988 | 0.803851 | |
| | |
