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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: '2024-07-12T16:45:44' |
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project_name: fp_bs4_lr2e4_x2_emissions_tracker |
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run_id: bd0c4a59-5b20-4dd0-86f9-f8b361cfa4e7 |
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duration: 168668.67397975922 |
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emissions: 0.1268902545670636 |
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emissions_rate: 7.523048090263094e-07 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 15.0 |
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cpu_energy: 1.9912231882090328 |
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gpu_energy: 0 |
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ram_energy: 0.7027802207857362 |
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energy_consumed: 2.69400340899479 |
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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: 6 |
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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: 40 |
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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) | 168668.67397975922 | |
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| Emissions (Co2eq in kg) | 0.1268902545670636 | |
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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) | 15.0 | |
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| CPU energy (kWh) | 1.9912231882090328 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.7027802207857362 | |
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| Consumed energy (kWh) | 2.69400340899479 | |
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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 | 6 | |
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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) | 0.32468719741103647 | |
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| Emissions (Co2eq in kg) | 0.06606189730873901 | |
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## Note |
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5 juillet 2024 ! |
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|
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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_bs4_lr2e4_x2 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 0.0002 | |
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| batch_size | 4 | |
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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 | 165709 | |
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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 | 13.298823 | 11.917336 | |
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| 0.5 | 7.196151 | 7.103504 | |
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| 1.0 | 7.056031 | 7.041916 | |
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| 1.5 | 7.253135 | 7.168228 | |
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| 2.0 | 7.131400 | 7.110774 | |
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| 2.5 | 7.090259 | 7.085124 | |
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| 3.0 | 7.093696 | 7.091162 | |
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| 3.5 | 7.076734 | 7.078840 | |
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| 4.0 | 7.070370 | 7.058439 | |
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| 4.5 | 7.049053 | 7.041694 | |
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| 5.0 | 7.040570 | 7.039958 | |
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| 5.5 | 7.039051 | 7.042496 | |
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| 6.0 | 7.030734 | 7.029607 | |
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