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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: '2024-07-12T04:07:38' |
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project_name: fp_bs16_lr2e4_x2_emissions_tracker |
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run_id: bfad8449-f45f-4490-9c09-b615a393a8ef |
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duration: 123183.01009082794 |
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emissions: 0.0926712331077666 |
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emissions_rate: 7.52305314177956e-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: 1.4542414543996254 |
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gpu_energy: 0 |
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ram_energy: 0.5132588769684232 |
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energy_consumed: 1.9675003313680524 |
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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) | 123183.01009082794 | |
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| Emissions (Co2eq in kg) | 0.0926712331077666 | |
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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) | 1.4542414543996254 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.5132588769684232 | |
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| Consumed energy (kWh) | 1.9675003313680524 | |
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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) | 0.23712729442484376 | |
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| Emissions (Co2eq in kg) | 0.04824667895224094 | |
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## Note |
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5 juillet 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 | fp_bs16_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 | 16 | |
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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 | 41210 | |
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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 | 15.508738 | 13.453564 | |
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| 0.5 | 3.852050 | 3.397609 | |
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| 1.0 | 3.251526 | 3.176829 | |
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| 1.5 | 3.058468 | 3.015703 | |
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| 2.0 | 5.927741 | 6.965355 | |
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| 2.5 | 6.956331 | 6.956432 | |
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| 3.0 | 6.951731 | 6.962861 | |
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| 3.5 | 6.950335 | 6.958723 | |
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| 4.0 | 6.946852 | 6.955874 | |
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| 4.5 | 6.950789 | 6.954085 | |
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| 5.0 | 6.937664 | 6.950021 | |
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| 5.5 | 6.947318 | 6.950066 | |
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| 6.0 | 6.932711 | 6.952001 | |
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