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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: '2024-05-17T13:53:55' |
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project_name: ThunBERT_bs64_lr6_emissions_tracker |
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run_id: a684b01f-ae2d-4edd-8044-73026830f5f5 |
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duration: 185122.32229161265 |
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emissions: 0.1937646791643616 |
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emissions_rate: 1.0466845746410591e-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: 2.1854683791827827 |
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gpu_energy: 0 |
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ram_energy: 1.928344048671428 |
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energy_consumed: 4.113812427854221 |
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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) | 185122.32229161265 | |
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| Emissions (Co2eq in kg) | 0.1937646791643616 | |
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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) | 2.1854683791827827 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 1.928344048671428 | |
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| Consumed energy (kWh) | 4.113812427854221 | |
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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) | 0.3563604704113544 | |
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| Emissions (Co2eq in kg) | 0.07250624289754828 | |
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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_bs64_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 | 64 | |
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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 | 10258 | |
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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 | 6.242385 | 5.396468 | |
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| 0.5 | 3.202372 | 3.054127 | |
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| 1.0 | 3.043711 | 2.978465 | |
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| 1.5 | 2.981431 | 2.949445 | |
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| 2.0 | 2.950075 | 2.917226 | |
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| 2.5 | 2.928359 | 2.893412 | |
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| 3.0 | 2.904799 | 2.861998 | |
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| 3.5 | 2.887544 | 2.854341 | |
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| 4.0 | 2.870782 | 2.847506 | |
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| 4.5 | 2.865183 | 2.833677 | |
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| 5.0 | 2.842693 | 2.830147 | |
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| 5.5 | 2.847798 | 2.820412 | |
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| 6.0 | 2.843068 | 2.820083 | |
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