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--- |
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language: en |
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tags: |
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- fill-mask |
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kwargs: |
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timestamp: '2024-05-11T15:12:34' |
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project_name: ThunBERT_bs8_lr5_emissions_tracker |
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run_id: 57d7b2c3-c944-47c7-a355-25d9fbaa40f9 |
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duration: 174517.94656181335 |
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emissions: 0.182665335387375 |
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emissions_rate: 1.0466851059508425e-06 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 37.5 |
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cpu_energy: 2.0602784545400072 |
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gpu_energy: 0 |
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ram_energy: 1.8178841192349864 |
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energy_consumed: 3.8781625737749743 |
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country_name: Switzerland |
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country_iso_code: CHE |
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region: .nan |
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cloud_provider: .nan |
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cloud_region: .nan |
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os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34 |
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python_version: 3.10.4 |
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codecarbon_version: 2.3.4 |
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cpu_count: 4 |
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cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
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gpu_count: .nan |
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gpu_model: .nan |
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longitude: .nan |
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latitude: .nan |
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ram_total_size: 100 |
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tracking_mode: machine |
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on_cloud: N |
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pue: 1.0 |
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--- |
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## Environmental Impact (CODE CARBON DEFAULT) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| Duration (in seconds) | 174517.94656181335 | |
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| Emissions (Co2eq in kg) | 0.182665335387375 | |
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| CPU power (W) | 42.5 | |
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| GPU power (W) | [No GPU] | |
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| RAM power (W) | 37.5 | |
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| CPU energy (kWh) | 2.0602784545400072 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 1.8178841192349864 | |
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| Consumed energy (kWh) | 3.8781625737749743 | |
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| Country name | Switzerland | |
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| Cloud provider | nan | |
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| Cloud region | nan | |
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| CPU count | 4 | |
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| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz | |
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| GPU count | nan | |
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| GPU model | nan | |
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## Environmental Impact (for one core) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| CPU energy (kWh) | 0.33594704713149065 | |
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| Emissions (Co2eq in kg) | 0.06835286240337689 | |
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## Note |
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15 May 2024 |
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## My Config |
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| Config | Value | |
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|--------------------------|-----------------| |
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| checkpoint | albert-base-v2 | |
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| model_name | ThunBERT_bs8_lr5 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 5e-05 | |
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| batch_size | 8 | |
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| weight_decay | 0.0 | |
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| warm_up_prop | 0.0 | |
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| drop_out_prob | 0.1 | |
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| packing_length | 100 | |
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| train_test_split | 0.2 | |
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| num_steps | 82627 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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---|---|--- |
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| 0.0 | 7.067743 | 3.953574 | |
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| 0.5 | 3.522399 | 3.376064 | |
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| 1.0 | 3.303520 | 3.226876 | |
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| 1.5 | 3.154914 | 3.167486 | |
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| 2.0 | 3.058335 | 3.051049 | |
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| 2.5 | 2.983440 | 2.994546 | |
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| 3.0 | 2.966602 | 2.926526 | |
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| 3.5 | 2.846851 | 2.879127 | |
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| 4.0 | 2.785210 | 2.832286 | |
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| 4.5 | 2.718725 | 2.795912 | |
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| 5.0 | 2.670722 | 2.733300 | |
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| 5.5 | 2.628934 | 2.693741 | |
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