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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: '2024-05-21T06:51:24' |
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project_name: ft_bs32_lr7_base_x8_emissions_tracker |
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run_id: d86ab92c-42c5-46ae-a58f-cb705b0a7a8b |
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duration: 29443.913482666016 |
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emissions: 0.0192615910805578 |
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emissions_rate: 6.54179040836314e-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: 0.3476012287669722 |
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gpu_energy: 0 |
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ram_energy: 0.0613410671621561 |
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energy_consumed: 0.4089422959291282 |
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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: 3 |
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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) | 29443.913482666016 | |
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| Emissions (Co2eq in kg) | 0.0192615910805578 | |
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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) | 0.3476012287669722 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0613410671621561 | |
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| Consumed energy (kWh) | 0.4089422959291282 | |
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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 | 3 | |
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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) | 0.056679533454132076 | |
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| Emissions (Co2eq in kg) | 0.011532199447377522 | |
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## Note |
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20 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 | ft_bs32_lr7_base_x8 | |
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| sequence_length | 400 | |
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| num_epoch | 20 | |
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| learning_rate | 5e-07 | |
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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 | 108600 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss | Accuracy | Recall |
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---|---|---|---|--- |
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| 0 | 0.599385 | 0.533520 | 0.732695 | 0.743865 | |
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| 1 | 0.497255 | 0.495337 | 0.756996 | 0.874233 | |
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| 2 | 0.456973 | 0.457591 | 0.777614 | 0.812883 | |
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| 3 | 0.428078 | 0.435462 | 0.792342 | 0.811350 | |
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| 4 | 0.405985 | 0.418146 | 0.806333 | 0.865031 | |
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| 5 | 0.386763 | 0.402823 | 0.818851 | 0.852761 | |
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| 6 | 0.370968 | 0.398841 | 0.818115 | 0.819018 | |
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| 7 | 0.361504 | 0.389461 | 0.822533 | 0.865031 | |
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| 8 | 0.348315 | 0.386434 | 0.828424 | 0.881902 | |
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| 9 | 0.339924 | 0.381690 | 0.829897 | 0.820552 | |
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| 10 | 0.333508 | 0.379336 | 0.829161 | 0.869632 | |
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| 11 | 0.327714 | 0.375907 | 0.831370 | 0.860429 | |
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| 12 | 0.319972 | 0.372091 | 0.835052 | 0.861963 | |
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| 13 | 0.311965 | 0.373268 | 0.833579 | 0.829755 | |
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| 14 | 0.307354 | 0.374971 | 0.834315 | 0.835890 | |
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| 15 | 0.303944 | 0.373268 | 0.835052 | 0.874233 | |
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| 16 | 0.297742 | 0.387149 | 0.831370 | 0.906442 | |
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| 17 | 0.288179 | 0.376481 | 0.837997 | 0.878834 | |
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| 18 | 0.284836 | 0.380563 | 0.834315 | 0.892638 | |
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| 19 | 0.279182 | 0.376233 | 0.835788 | 0.843558 | |
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