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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: '2024-05-21T06:31:25' |
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project_name: ft_bs16_lr7_mlm_emissions_tracker |
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run_id: b6614c15-0b17-42cf-a4e3-7b88ff581e67 |
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duration: 31470.129777431488 |
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emissions: 0.0190430699900628 |
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emissions_rate: 6.051157120972355e-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: 0.3715217473053264 |
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gpu_energy: 0 |
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ram_energy: 0.0327811335265635 |
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energy_consumed: 0.4043028808318904 |
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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) | 31470.129777431488 | |
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| Emissions (Co2eq in kg) | 0.0190430699900628 | |
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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) | 0.3715217473053264 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.0327811335265635 | |
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| Consumed energy (kWh) | 0.4043028808318904 | |
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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) | 0.06057999982155562 | |
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| Emissions (Co2eq in kg) | 0.012325800829494 | |
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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 | damgomz/ThunBERT_bs16_lr5_MLM | |
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| model_name | ft_bs16_lr7_mlm | |
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| sequence_length | 400 | |
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| num_epoch | 15 | |
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| learning_rate | 5e-07 | |
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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 | 81450 | |
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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 | 0.628769 | 0.554894 | 0.730486 | 0.842025 | |
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| 1 | 0.510461 | 0.486829 | 0.763623 | 0.797546 | |
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| 2 | 0.449970 | 0.445788 | 0.786451 | 0.888037 | |
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| 3 | 0.410732 | 0.416862 | 0.807806 | 0.884969 | |
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| 4 | 0.380523 | 0.396044 | 0.812960 | 0.872699 | |
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| 5 | 0.359862 | 0.388476 | 0.820324 | 0.909509 | |
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| 6 | 0.342461 | 0.369396 | 0.834315 | 0.874233 | |
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| 7 | 0.330469 | 0.362060 | 0.840943 | 0.861963 | |
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| 8 | 0.319533 | 0.359950 | 0.840943 | 0.889571 | |
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| 9 | 0.310329 | 0.358102 | 0.843888 | 0.892638 | |
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| 10 | 0.300148 | 0.363338 | 0.840206 | 0.904908 | |
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| 11 | 0.291830 | 0.362882 | 0.830633 | 0.791411 | |
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| 12 | 0.285529 | 0.354668 | 0.840206 | 0.849693 | |
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| 13 | 0.277152 | 0.358292 | 0.837261 | 0.823620 | |
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| 14 | 0.264916 | 0.364439 | 0.844624 | 0.897239 | |
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