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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: '2024-05-22T16:01:26' |
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project_name: ft_32_1e6_mlm_cv_emissions_tracker |
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run_id: 91a1ef6e-5836-4dfc-8beb-10a57fac7d60 |
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duration: 84112.26557207108 |
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emissions: 0.0508976082410351 |
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emissions_rate: 6.051151742836349e-07 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 3.75 |
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cpu_energy: 0.9929897035482864 |
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gpu_energy: 0 |
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ram_energy: 0.0876159787309665 |
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energy_consumed: 1.080605682279255 |
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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: 2 |
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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: 10 |
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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) | 84112.26557207108 | |
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| Emissions (Co2eq in kg) | 0.0508976082410351 | |
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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) | 3.75 | |
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| CPU energy (kWh) | 0.9929897035482864 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0876159787309665 | |
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| Consumed energy (kWh) | 1.080605682279255 | |
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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 | 2 | |
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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) | 0.1619161112262368 | |
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| Emissions (Co2eq in kg) | 0.0329439706823945 | |
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## Note |
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21 May 2024 |
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## My Config |
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| Config | Value | |
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|--------------------------|-----------------| |
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| checkpoint | damgomz/ThunBERT_bs16_lr5_MLM | |
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| model_name | ft_32_1e6_mlm_cv | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 1e-06 | |
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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 | 32586 | |
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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 | 0.617806 | 0.538588 | 0.735561 | 0.825708 | |
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| 1 | 0.488718 | 0.449449 | 0.789484 | 0.849987 | |
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| 2 | 0.413039 | 0.395091 | 0.815557 | 0.857885 | |
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| 3 | 0.367947 | 0.374194 | 0.826311 | 0.848885 | |
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| 4 | 0.343483 | 0.362730 | 0.832203 | 0.865677 | |
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| 5 | 0.325950 | 0.357382 | 0.836770 | 0.847558 | |
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