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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: '2024-05-17T19:15:59' |
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project_name: ThunBERT_bs16_lr6_emissions_tracker |
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run_id: d3e1c370-0ebb-48d9-8cfb-4a9f1843ff5b |
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duration: 204677.1904013157 |
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emissions: 0.2142322449004703 |
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emissions_rate: 1.0466835336190603e-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: 2.4163233040433822 |
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gpu_energy: 0 |
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ram_energy: 2.1320354335730274 |
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energy_consumed: 4.5483587376164065 |
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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) | 204677.1904013157 | |
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| Emissions (Co2eq in kg) | 0.2142322449004703 | |
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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) | 2.4163233040433822 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 2.1320354335730274 | |
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| Consumed energy (kWh) | 4.5483587376164065 | |
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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) | 0.39400359152253267 | |
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| Emissions (Co2eq in kg) | 0.08016523290718197 | |
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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_bs16_lr6 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 5e-06 | |
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| batch_size | 16 | |
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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 | 41105 | |
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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 | 4.300614 | 5.886359 | |
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| 0.5 | 3.106338 | 3.011006 | |
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| 1.0 | 2.976321 | 2.909148 | |
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| 1.5 | 2.917792 | 2.861870 | |
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| 2.0 | 2.876170 | 2.839771 | |
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| 2.5 | 2.848535 | 2.812239 | |
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| 3.0 | 2.811240 | 2.789157 | |
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| 3.5 | 2.795877 | 2.775617 | |
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| 4.0 | 2.778066 | 2.759804 | |
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| 4.5 | 2.776505 | 2.747918 | |
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| 5.0 | 2.757094 | 2.745254 | |
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| 5.5 | 2.748051 | 2.731507 | |
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| 6.0 | 2.740678 | 2.734660 | |
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