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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: '2024-05-25T03:37:28' |
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project_name: fp_bs64_lr5_x4_emissions_tracker |
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run_id: 07c3bbb2-f049-4b40-b3dd-956d28629ef7 |
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duration: 141339.0581598282 |
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emissions: 0.1063300462019785 |
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emissions_rate: 7.523047598190379e-07 |
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cpu_power: 42.5 |
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gpu_power: 0.0 |
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ram_power: 15.0 |
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cpu_energy: 1.668582685680036 |
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gpu_energy: 0 |
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ram_energy: 0.5889075205147284 |
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energy_consumed: 2.257490206194743 |
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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: 6 |
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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: 40 |
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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) | 141339.0581598282 | |
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| Emissions (Co2eq in kg) | 0.1063300462019785 | |
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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) | 15.0 | |
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| CPU energy (kWh) | 1.668582685680036 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.5889075205147284 | |
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| Consumed energy (kWh) | 2.257490206194743 | |
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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 | 6 | |
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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) | 0.27207768695766926 | |
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| Emissions (Co2eq in kg) | 0.05535779777926603 | |
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## Note |
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23 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 | fp_bs64_lr5_x4 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 5e-05 | |
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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 | 10278 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss |
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---|---|--- |
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| 0.0 | 15.918249 | 9.392778 | |
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| 0.5 | 5.090525 | 4.007436 | |
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| 1.0 | 3.736158 | 3.569265 | |
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| 1.5 | 3.457080 | 3.366405 | |
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| 2.0 | 3.294382 | 3.235556 | |
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| 2.5 | 3.196004 | 3.175543 | |
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| 3.0 | 3.097808 | 3.081475 | |
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| 3.5 | 3.041380 | 3.029809 | |
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| 4.0 | 2.969532 | 2.984502 | |
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| 4.5 | 2.927619 | 2.950877 | |
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| 5.0 | 2.891346 | 2.897531 | |
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| 5.5 | 2.853556 | 2.867581 | |
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| 6.0 | 2.830631 | 2.856134 | |
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