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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: '2024-05-21T06:49:36' |
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project_name: ft_bs16_1lr6_base_x8_emissions_tracker |
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run_id: e8f58681-b571-4e35-a345-b5c77f7b4a7e |
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duration: 29334.1406750679 |
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emissions: 0.0191897816027374 |
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emissions_rate: 6.541790951131397e-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: 0.3463053195810985 |
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gpu_energy: 0 |
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ram_energy: 0.0611123913536468 |
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energy_consumed: 0.4074177109347459 |
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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) | 29334.1406750679 | |
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| Emissions (Co2eq in kg) | 0.0191897816027374 | |
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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) | 0.3463053195810985 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0611123913536468 | |
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| Consumed energy (kWh) | 0.4074177109347459 | |
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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) | 0.05646822079950571 | |
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| Emissions (Co2eq in kg) | 0.011489205097734928 | |
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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_bs16_1lr6_base_x8 | |
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| sequence_length | 400 | |
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| num_epoch | 20 | |
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| learning_rate | 1e-06 | |
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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 | 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 | 0.523328 | 0.476205 | 0.776141 | 0.906442 | |
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| 1 | 0.431474 | 0.413639 | 0.813697 | 0.866564 | |
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| 2 | 0.384488 | 0.402209 | 0.823270 | 0.897239 | |
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| 3 | 0.353091 | 0.387237 | 0.822533 | 0.800613 | |
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| 4 | 0.328723 | 0.390632 | 0.836524 | 0.918712 | |
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| 5 | 0.314824 | 0.373720 | 0.835052 | 0.848160 | |
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| 6 | 0.299005 | 0.389435 | 0.810751 | 0.750000 | |
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| 7 | 0.289835 | 0.386018 | 0.835052 | 0.860429 | |
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| 8 | 0.273817 | 0.388888 | 0.829897 | 0.814417 | |
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| 9 | 0.257712 | 0.386943 | 0.837997 | 0.871166 | |
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| 10 | 0.236881 | 0.410112 | 0.832842 | 0.855828 | |
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| 11 | 0.218910 | 0.429738 | 0.820324 | 0.837423 | |
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| 12 | 0.207044 | 0.461636 | 0.832106 | 0.891104 | |
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| 13 | 0.192752 | 0.454077 | 0.817378 | 0.828221 | |
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| 14 | 0.167404 | 0.477347 | 0.802651 | 0.754601 | |
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| 15 | 0.146702 | 0.511787 | 0.810751 | 0.875767 | |
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| 16 | 0.134885 | 0.540342 | 0.814433 | 0.858896 | |
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| 17 | 0.118554 | 0.552969 | 0.807069 | 0.802147 | |
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| 18 | 0.105443 | 0.596917 | 0.805596 | 0.803681 | |
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| 19 | 0.085186 | 0.638636 | 0.796024 | 0.757669 | |
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