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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: '2024-05-04T02:15:26' |
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project_name: BERTrand_bs64_lr5_emissions_tracker |
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run_id: f7a0cdf6-c88d-4c9c-a4ae-06e00c61174a |
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duration: 210553.2843556404 |
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emissions: 0.2720349058598398 |
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emissions_rate: 1.292000296705666e-06 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 56.25 |
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cpu_energy: 2.4856944445676237 |
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gpu_energy: 0 |
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ram_energy: 3.289870954465132 |
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energy_consumed: 5.775565399032714 |
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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: 150 |
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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) | 210553.2843556404 | |
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| Emissions (Co2eq in kg) | 0.2720349058598398 | |
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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) | 56.25 | |
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| CPU energy (kWh) | 2.4856944445676237 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 3.289870954465132 | |
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| Consumed energy (kWh) | 5.775565399032714 | |
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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) | 0.4053150723846078 | |
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| Emissions (Co2eq in kg) | 0.08246670303929249 | |
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## Note |
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30 April 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 | BERTrand_bs64_lr5 | |
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| sequence_length | 400 | |
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| num_epoch | 12 | |
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| learning_rate | 5e-05 | |
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| batch_size | 64 | |
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| weight_decay | 0.0 | |
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| warm_up_prop | 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 | 3148 | |
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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 | 15.402081 | 13.817045 | |
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| 0.5 | 8.054414 | 7.829068 | |
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| 1.0 | 4.816239 | 3.114260 | |
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| 1.5 | 2.206430 | 2.955595 | |
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| 2.0 | 2.189819 | 2.872115 | |
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| 2.5 | 2.418134 | 2.865437 | |
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| 3.0 | 2.349051 | 2.810524 | |
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| 3.5 | 2.102283 | 2.820134 | |
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| 4.0 | 1.907061 | 2.957294 | |
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| 4.5 | 2.326205 | 2.785392 | |
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| 5.0 | 2.257292 | 2.737638 | |
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| 5.5 | 2.127350 | 2.733068 | |
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| 6.0 | 1.883285 | 2.774372 | |
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| 6.5 | 2.100682 | 2.667502 | |
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| 7.0 | 2.194973 | 2.628296 | |
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| 7.5 | 2.163919 | 2.643665 | |
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| 8.0 | 1.850441 | 2.637510 | |
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| 8.5 | 1.968181 | 2.632833 | |
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| 9.0 | 2.121989 | 2.625116 | |
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| 9.5 | 2.136497 | 2.646418 | |
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| 10.0 | 1.891819 | 2.655790 | |
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| 10.5 | 1.822331 | 2.596789 | |
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| 11.0 | 2.116980 | 2.584595 | |
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| 11.5 | 2.101184 | 2.588414 | |
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| 12.0 | 1.961101 | 2.560519 | |
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