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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: '2024-05-11T13:43:05' |
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project_name: ThunBERT_bs16_lr4_emissions_tracker |
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run_id: 2127a736-b71b-4645-9087-b3b853e3658a |
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duration: 169047.08735966682 |
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emissions: 0.1769390204060543 |
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emissions_rate: 1.0466848211918404e-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: 1.9956917336564937 |
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gpu_energy: 0 |
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ram_energy: 1.7608956085666998 |
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energy_consumed: 3.756587342223187 |
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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) | 169047.08735966682 | |
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| Emissions (Co2eq in kg) | 0.1769390204060543 | |
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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) | 1.9956917336564937 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 1.7608956085666998 | |
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| Consumed energy (kWh) | 3.756587342223187 | |
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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) | 0.3254156431673586 | |
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| Emissions (Co2eq in kg) | 0.0662101092158695 | |
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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_lr4 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 0.0005 | |
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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 | 41045 | |
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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 | 6.672004 | 11.475011 | |
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| 0.5 | 7.858635 | 7.770452 | |
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| 1.0 | 7.738486 | 7.745920 | |
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| 1.5 | 7.705243 | 7.718904 | |
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| 2.0 | 7.692092 | 7.719356 | |
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| 2.5 | 7.684155 | 7.708430 | |
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| 3.0 | 7.674921 | 7.695158 | |
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