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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: '2024-05-04T03:41:40' |
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project_name: BERTrand_bs32_lr5_emissions_tracker |
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run_id: 96601345-e00c-4518-bad5-88b8b3e7ffa1 |
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duration: 215893.2022356987 |
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emissions: 0.2259719345261451 |
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emissions_rate: 1.0466838797427405e-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: 2.548734558446212 |
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gpu_energy: 0 |
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ram_energy: 2.248869197867814 |
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energy_consumed: 4.797603756313989 |
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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) | 215893.2022356987 | |
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| Emissions (Co2eq in kg) | 0.2259719345261451 | |
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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) | 2.548734558446212 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 2.248869197867814 | |
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| Consumed energy (kWh) | 4.797603756313989 | |
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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) | 0.41559441430371996 | |
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| Emissions (Co2eq in kg) | 0.08455817087564864 | |
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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_bs32_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 | 32 | |
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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 | 6287 | |
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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 | 15.495780 | 13.831327 | |
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| 0.5 | 7.825472 | 7.840593 | |
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| 1.0 | 7.327533 | 7.785610 | |
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| 1.5 | 7.205367 | 7.586150 | |
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| 2.0 | 7.151769 | 7.663743 | |
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| 2.5 | 7.125600 | 8.101605 | |
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| 3.0 | 7.034717 | 7.773854 | |
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| 3.5 | 7.092155 | 7.549316 | |
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| 4.0 | 7.067814 | 7.819034 | |
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| 4.5 | 7.141888 | 7.587213 | |
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| 5.0 | 7.006890 | 7.892200 | |
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| 5.5 | 7.049742 | 7.752103 | |
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| 6.0 | 7.048553 | 7.844037 | |
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| 6.5 | 7.096755 | 7.641740 | |
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| 7.0 | 6.994647 | 7.617568 | |
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| 7.5 | 6.993773 | 7.864096 | |
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| 8.0 | 7.058714 | 7.730159 | |
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| 8.5 | 7.064419 | 7.629280 | |
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| 9.0 | 7.013462 | 7.746540 | |
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| 9.5 | 6.962919 | 8.147570 | |
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| 10.0 | 7.028505 | 7.587558 | |
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| 10.5 | 7.022366 | 7.531848 | |
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| 11.0 | 7.059191 | 7.623211 | |
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| 11.5 | 6.955125 | 7.734247 | |
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| 12.0 | 7.028196 | 7.606153 | |
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