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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: '2024-05-16T18:41:18' |
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project_name: ft_bs16_lr6_base_emissions_tracker |
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run_id: 8d7a61a5-d152-4a95-abc5-028dfc1ccc7b |
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duration: 9158.863351345062 |
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emissions: 0.0055421710871854 |
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emissions_rate: 6.051155994560777e-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: 0.1081252751313978 |
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gpu_energy: 0 |
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ram_energy: 0.0095404026076197 |
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energy_consumed: 0.1176656777390176 |
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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) | 9158.863351345062 | |
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| Emissions (Co2eq in kg) | 0.0055421710871854 | |
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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) | 0.1081252751313978 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0095404026076197 | |
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| Consumed energy (kWh) | 0.1176656777390176 | |
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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) | 0.017630811951339243 | |
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| Emissions (Co2eq in kg) | 0.003587221479276816 | |
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## Note |
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17 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_lr6_base | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 5e-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 | 32580 | |
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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 | 0.454731 | 0.365926 | 0.840943 | 0.851227 | |
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| 1 | 0.348025 | 0.367064 | 0.843152 | 0.884969 | |
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| 2 | 0.303349 | 0.360609 | 0.848306 | 0.840491 | |
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| 3 | 0.247147 | 0.404108 | 0.834315 | 0.889571 | |
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| 4 | 0.176933 | 0.446045 | 0.822533 | 0.860429 | |
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| 5 | 0.126679 | 0.511276 | 0.818851 | 0.815951 | |
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