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language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-22T18:59:41'
project_name: ft_32_2e6_base_emissions_tracker
run_id: 694bc11f-d030-4abe-92ab-89c8e32efac1
duration: 94566.8026907444
emissions: 0.0572237513240666
emissions_rate: 6.051145824523826e-07
cpu_power: 42.5
gpu_power: 0.0
ram_power: 3.75
cpu_energy: 1.1164102884280973
gpu_energy: 0
ram_energy: 0.09850555888017
energy_consumed: 1.2149158473082664
country_name: Switzerland
country_iso_code: CHE
region: .nan
cloud_provider: .nan
cloud_region: .nan
os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34
python_version: 3.10.4
codecarbon_version: 2.3.4
cpu_count: 2
cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
gpu_count: .nan
gpu_model: .nan
longitude: .nan
latitude: .nan
ram_total_size: 10
tracking_mode: machine
on_cloud: N
pue: 1.0
---
## Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|--------------------------|---------------------------------|
| Duration (in seconds) | 94566.8026907444 |
| Emissions (Co2eq in kg) | 0.0572237513240666 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1164102884280973 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.09850555888017 |
| Consumed energy (kWh) | 1.2149158473082664 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 2 |
| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| GPU count | nan |
| GPU model | nan |
## Environmental Impact (for one core)
| Metric | Value |
|--------------------------|---------------------------------|
| CPU energy (kWh) | 0.18204109517968298 |
| Emissions (Co2eq in kg) | 0.03703866438720822 |
## Note
21 May 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_32_2e6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| batch_size | 32 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 32586 |
## Training and Testing steps
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.566979 | 0.493775 | 0.769300 | 0.826475 |
| 1 | 0.433719 | 0.412018 | 0.817031 | 0.850808 |
| 2 | 0.357331 | 0.387126 | 0.825282 | 0.869627 |
| 3 | 0.293457 | 0.401614 | 0.822777 | 0.850921 |
| 4 | 0.237306 | 0.430223 | 0.810255 | 0.821977 |
| 5 | 0.185810 | 0.469887 | 0.799501 | 0.834173 |
|