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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: '2024-05-04T02:09:36' |
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project_name: BERTrand_bs64_lr6_emissions_tracker |
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run_id: 698197ff-1c20-4368-8dfb-1a85fe843c4d |
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duration: 210196.29861307144 |
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emissions: 0.2715737813178914 |
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emissions_rate: 1.2920007778909722e-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: 2.4814802918722147 |
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gpu_energy: 0 |
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ram_energy: 3.284294985041019 |
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energy_consumed: 5.765775276913259 |
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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) | 210196.29861307144 | |
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| Emissions (Co2eq in kg) | 0.2715737813178914 | |
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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) | 2.4814802918722147 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 3.284294985041019 | |
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| Consumed energy (kWh) | 5.765775276913259 | |
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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) | 0.4046278748301625 | |
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| Emissions (Co2eq in kg) | 0.08232688362345299 | |
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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_lr6 | |
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| sequence_length | 400 | |
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| num_epoch | 12 | |
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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 | |
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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 | 3147 | |
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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 | 15.574399 | 15.096123 | |
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| 0.5 | 9.594637 | 8.148669 | |
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| 1.0 | 7.853338 | 8.074202 | |
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| 1.5 | 7.905947 | 7.939530 | |
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| 2.0 | 7.834033 | 7.833388 | |
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| 2.5 | 7.720610 | 7.871610 | |
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| 3.0 | 7.495963 | 7.976839 | |
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| 3.5 | 7.330389 | 7.752517 | |
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| 4.0 | 7.214343 | 7.848690 | |
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| 4.5 | 7.346055 | 7.724831 | |
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| 5.0 | 7.110836 | 7.715771 | |
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| 5.5 | 7.125741 | 7.595748 | |
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| 6.0 | 7.127250 | 7.659738 | |
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| 6.5 | 7.239036 | 7.671448 | |
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| 7.0 | 7.073343 | 7.705375 | |
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| 7.5 | 7.070813 | 7.589307 | |
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| 8.0 | 7.124647 | 7.582091 | |
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| 8.5 | 7.166616 | 7.539913 | |
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| 9.0 | 7.092505 | 7.611073 | |
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| 9.5 | 7.048057 | 7.625665 | |
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| 10.0 | 7.101367 | 7.564788 | |
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| 10.5 | 7.108332 | 7.602001 | |
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| 11.0 | 7.179604 | 7.554187 | |
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| 11.5 | 7.028062 | 7.575663 | |
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| 12.0 | 7.086092 | 7.574604 | |
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