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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: '2024-05-25T18:35:29' |
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project_name: fp_bs32_lr5_x4_emissions_tracker |
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run_id: 76e6a081-c40e-4059-882d-3f3b6d2b891a |
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duration: 201349.00879764557 |
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emissions: 0.1317182481933241 |
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emissions_rate: 6.541787763440154e-07 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 7.5 |
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cpu_energy: 2.377032654036238 |
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gpu_energy: 0 |
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ram_energy: 0.4194737512061973 |
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energy_consumed: 2.7965064052424404 |
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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: 20 |
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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) | 201349.00879764557 | |
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| Emissions (Co2eq in kg) | 0.1317182481933241 | |
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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) | 7.5 | |
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| CPU energy (kWh) | 2.377032654036238 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.4194737512061973 | |
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| Consumed energy (kWh) | 2.7965064052424404 | |
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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) | 0.3875968419354677 | |
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| Emissions (Co2eq in kg) | 0.07886169511241117 | |
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## Note |
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23 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 | fp_bs32_lr5_x4 | |
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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 | 32 | |
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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 | 20474 | |
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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 | 13.351377 | 11.863091 | |
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| 0.5 | 4.567548 | 3.794884 | |
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| 1.0 | 3.590797 | 3.455211 | |
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| 1.5 | 3.345965 | 3.288297 | |
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| 2.0 | 3.198848 | 3.176345 | |
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| 2.5 | 3.093061 | 3.087619 | |
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| 3.0 | 3.012470 | 3.013932 | |
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| 3.5 | 2.945540 | 2.949879 | |
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| 4.0 | 2.882858 | 2.898032 | |
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| 4.5 | 2.832584 | 2.853366 | |
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| 5.0 | 2.791554 | 2.814966 | |
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| 5.5 | 2.747674 | 2.785408 | |
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| 6.0 | 2.712429 | 2.754928 | |
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