| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-17T13:04:56' |
| | project_name: ft_bs64_lr6_base_emissions_tracker |
| | run_id: ddcf18bc-3002-4de9-be6b-c78da64d1565 |
| | duration: 11538.003197193146 |
| | emissions: 0.0075479190670361 |
| | emissions_rate: 6.54178971702172e-07 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 7.5 |
| | cpu_energy: 0.1362123195265731 |
| | gpu_energy: 0 |
| | ram_energy: 0.0240373368933796 |
| | energy_consumed: 0.1602496564199525 |
| | 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: 3 |
| | cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| | gpu_count: .nan |
| | gpu_model: .nan |
| | longitude: .nan |
| | latitude: .nan |
| | ram_total_size: 20 |
| | tracking_mode: machine |
| | on_cloud: N |
| | pue: 1.0 |
| | --- |
| | |
| | ## Environmental Impact (CODE CARBON DEFAULT) |
| |
|
| | | Metric | Value | |
| | |--------------------------|---------------------------------| |
| | | Duration (in seconds) | 11538.003197193146 | |
| | | Emissions (Co2eq in kg) | 0.0075479190670361 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 7.5 | |
| | | CPU energy (kWh) | 0.1362123195265731 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0240373368933796 | |
| | | Consumed energy (kWh) | 0.1602496564199525 | |
| | | Country name | Switzerland | |
| | | Cloud provider | nan | |
| | | Cloud region | nan | |
| | | CPU count | 3 | |
| | | 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) | 0.022210656154596806 | |
| | | Emissions (Co2eq in kg) | 0.004519051252233982 | |
| |
|
| | ## Note |
| |
|
| | 17 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_bs64_lr6_base | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 5e-06 | |
| | | batch_size | 64 | |
| | | 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 | 0.528595 | 0.432751 | 0.808542 | 0.797546 | |
| | | 1 | 0.385116 | 0.376983 | 0.843152 | 0.911043 | |
| | | 2 | 0.327269 | 0.355248 | 0.854934 | 0.891104 | |
| | | 3 | 0.274044 | 0.376667 | 0.828424 | 0.789877 | |
| | | 4 | 0.194716 | 0.433947 | 0.815169 | 0.811350 | |
| | | 5 | 0.140480 | 0.483331 | 0.804124 | 0.796012 | |
| | |
