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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: '2024-05-21T06:46:22' |
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project_name: ft_bs64_1lr6_base_x8_emissions_tracker |
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run_id: 303058b9-e0ff-4ee5-9b11-7641f638c5ac |
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duration: 29068.91158723831 |
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emissions: 0.0190162663339998 |
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emissions_rate: 6.541788218293073e-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: 0.3431740666680863 |
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gpu_energy: 0 |
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ram_energy: 0.0605597464993595 |
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energy_consumed: 0.4037338131674456 |
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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) | 29068.91158723831 | |
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| Emissions (Co2eq in kg) | 0.0190162663339998 | |
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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) | 0.3431740666680863 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0605597464993595 | |
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| Consumed energy (kWh) | 0.4037338131674456 | |
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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) | 0.05595765480543375 | |
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| Emissions (Co2eq in kg) | 0.011385323705001673 | |
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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_bs64_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 | 64 | |
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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 | 0.600790 | 0.530991 | 0.729750 | 0.803681 | |
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| 1 | 0.490914 | 0.515528 | 0.750368 | 0.937117 | |
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| 2 | 0.454214 | 0.454406 | 0.784242 | 0.837423 | |
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| 3 | 0.420142 | 0.442943 | 0.794551 | 0.891104 | |
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| 4 | 0.391595 | 0.418620 | 0.801915 | 0.854294 | |
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| 5 | 0.372766 | 0.409371 | 0.809278 | 0.808282 | |
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| 6 | 0.351249 | 0.411269 | 0.816642 | 0.884969 | |
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| 7 | 0.337517 | 0.410223 | 0.814433 | 0.897239 | |
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| 8 | 0.331506 | 0.397039 | 0.825479 | 0.881902 | |
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| 9 | 0.318005 | 0.416837 | 0.804124 | 0.730061 | |
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| 10 | 0.309892 | 0.406303 | 0.818115 | 0.907975 | |
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| 11 | 0.301596 | 0.390790 | 0.832106 | 0.840491 | |
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| 12 | 0.295900 | 0.391270 | 0.832842 | 0.865031 | |
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| 13 | 0.284800 | 0.392566 | 0.832106 | 0.860429 | |
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| 14 | 0.271658 | 0.397234 | 0.829897 | 0.823620 | |
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| 15 | 0.267081 | 0.404172 | 0.837261 | 0.883436 | |
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| 16 | 0.251110 | 0.409858 | 0.828424 | 0.823620 | |
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| 17 | 0.246977 | 0.409189 | 0.829161 | 0.852761 | |
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| 18 | 0.235927 | 0.413321 | 0.828424 | 0.838957 | |
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| 19 | 0.226951 | 0.428528 | 0.824006 | 0.819018 | |
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