| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-17T14:15:15' |
| | project_name: ft_bs32_lr6_base_emissions_tracker |
| | run_id: a646c0d6-0505-4ed3-835b-ef7dafef9f06 |
| | duration: 15805.78792977333 |
| | emissions: 0.0097194275052211 |
| | emissions_rate: 6.149283761369868e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 4.500000000000001 |
| | cpu_energy: 0.186595798800389 |
| | gpu_energy: 0 |
| | ram_energy: 0.0197570919072628 |
| | energy_consumed: 0.2063528907076516 |
| | 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) | 15805.78792977333 | |
| | | Emissions (Co2eq in kg) | 0.0097194275052211 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 4.500000000000001 | |
| | | CPU energy (kWh) | 0.186595798800389 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0197570919072628 | |
| | | Consumed energy (kWh) | 0.2063528907076516 | |
| | | 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) | 0.03042614176481366 | |
| | | Emissions (Co2eq in kg) | 0.006190600272494554 | |
| |
|
| | ## Note |
| |
|
| | 17 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_bs32_lr6_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 5e-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 | 32580 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss | Accuracy | Recall |
| | ---|---|---|---|--- |
| | | 0 | 0.517818 | 0.402571 | 0.819588 | 0.840491 | |
| | | 1 | 0.362306 | 0.353783 | 0.845361 | 0.875767 | |
| | | 2 | 0.295267 | 0.369306 | 0.841679 | 0.845092 | |
| | | 3 | 0.219123 | 0.435836 | 0.815169 | 0.920245 | |
| | | 4 | 0.152728 | 0.441231 | 0.823270 | 0.871166 | |
| | | 5 | 0.101639 | 0.502734 | 0.820324 | 0.860429 | |
| | |
