| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-16T22:36:41' |
| | project_name: ft_bs32_lr7_base_emissions_tracker |
| | run_id: 96ef2a0d-d398-4d33-b257-dba7fa8356e1 |
| | duration: 22799.569629907608 |
| | emissions: 0.0140201000358722 |
| | emissions_rate: 6.149282755531136e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 4.500000000000001 |
| | cpu_energy: 0.2691611221477383 |
| | gpu_energy: 0 |
| | ram_energy: 0.0284992255279422 |
| | energy_consumed: 0.2976603476756804 |
| | 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) | 22799.569629907608 | |
| | | Emissions (Co2eq in kg) | 0.0140201000358722 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 4.500000000000001 | |
| | | CPU energy (kWh) | 0.2691611221477383 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0284992255279422 | |
| | | Consumed energy (kWh) | 0.2976603476756804 | |
| | | 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) | 0.04388917153757214 | |
| | | Emissions (Co2eq in kg) | 0.008929831438380479 | |
| |
|
| | ## Note |
| |
|
| | 16 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_bs32_lr7_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 10 | |
| | | learning_rate | 5e-07 | |
| | | 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 | 54300 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss | Accuracy | Recall |
| | ---|---|---|---|--- |
| | | 0 | 0.631623 | 0.594133 | 0.694404 | 0.823620 | |
| | | 1 | 0.558485 | 0.541231 | 0.733432 | 0.809816 | |
| | | 2 | 0.500646 | 0.493926 | 0.761414 | 0.760736 | |
| | | 3 | 0.449850 | 0.456491 | 0.795287 | 0.805215 | |
| | | 4 | 0.414101 | 0.442600 | 0.801178 | 0.874233 | |
| | | 5 | 0.378759 | 0.425400 | 0.809278 | 0.852761 | |
| | | 6 | 0.350256 | 0.424491 | 0.810751 | 0.868098 | |
| | | 7 | 0.323519 | 0.420775 | 0.810015 | 0.837423 | |
| | | 8 | 0.289084 | 0.426480 | 0.810751 | 0.838957 | |
| | | 9 | 0.261814 | 0.436926 | 0.804860 | 0.822086 | |
| | |
