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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: '2024-05-17T15:06:22' |
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project_name: ft_bs64_lr6_base_x4_emissions_tracker |
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run_id: 02402ada-d0fb-4b04-b706-3b97861a2ad3 |
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duration: 18129.05792498589 |
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emissions: 0.0118596516104099 |
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emissions_rate: 6.541791448558767e-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: 0.2140232932743098 |
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gpu_energy: 0 |
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ram_energy: 0.0377686349312464 |
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energy_consumed: 0.2517919282055566 |
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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) | 18129.05792498589 | |
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| Emissions (Co2eq in kg) | 0.0118596516104099 | |
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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) | 0.2140232932743098 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0377686349312464 | |
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| Consumed energy (kWh) | 0.2517919282055566 | |
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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) | 0.03489843650559783 | |
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| Emissions (Co2eq in kg) | 0.00710054768728614 | |
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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_bs64_lr6_base_x4 | |
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| sequence_length | 400 | |
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| num_epoch | 12 | |
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| learning_rate | 5e-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 | 65160 | |
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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 | 0.494021 | 0.421029 | 0.805596 | 0.891104 | |
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| 1 | 0.370485 | 0.376504 | 0.825479 | 0.888037 | |
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| 2 | 0.325639 | 0.374071 | 0.835788 | 0.897239 | |
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| 3 | 0.287644 | 0.374302 | 0.830633 | 0.906442 | |
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| 4 | 0.259016 | 0.370951 | 0.849779 | 0.877301 | |
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| 5 | 0.221142 | 0.409426 | 0.824742 | 0.815951 | |
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| 6 | 0.192179 | 0.451972 | 0.821797 | 0.852761 | |
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| 7 | 0.119463 | 0.534428 | 0.812960 | 0.800613 | |
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| 8 | 0.075451 | 0.618039 | 0.817378 | 0.757669 | |
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| 9 | 0.051555 | 0.791213 | 0.799705 | 0.702454 | |
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| 10 | 0.024909 | 0.752735 | 0.809278 | 0.826687 | |
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| 11 | 0.019373 | 0.822910 | 0.813697 | 0.802147 | |
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