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language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-16T20:38:19'
project_name: ft_bs64_lr7_base_emissions_tracker
run_id: bea8cf00-389c-4ff2-b2aa-78904c18e5b1
duration: 15632.51683139801
emissions: 0.0102264592683038
emissions_rate: 6.541786827162661e-07
cpu_power: 42.5
gpu_power: 0.0
ram_power: 7.5
cpu_energy: 0.18455020764586
gpu_energy: 0
ram_energy: 0.0325674600958824
energy_consumed: 0.2171176677417424
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: 3
cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
gpu_count: .nan
gpu_model: .nan
longitude: .nan
latitude: .nan
ram_total_size: 20
tracking_mode: machine
on_cloud: N
pue: 1.0
---
## Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|--------------------------|---------------------------------|
| Duration (in seconds) | 15632.51683139801 |
| Emissions (Co2eq in kg) | 0.0102264592683038 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 7.5 |
| CPU energy (kWh) | 0.18455020764586 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0325674600958824 |
| Consumed energy (kWh) | 0.2171176677417424 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 3 |
| 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) | 0.030092594900441166 |
| Emissions (Co2eq in kg) | 0.00612273575896422 |
## Note
16 May 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_bs64_lr7_base |
| sequence_length | 400 |
| num_epoch | 10 |
| learning_rate | 5e-07 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 54300 |
## Training and Testing steps
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.632340 | 0.605113 | 0.685567 | 0.815951 |
| 1 | 0.586177 | 0.575657 | 0.709867 | 0.831288 |
| 2 | 0.546068 | 0.549037 | 0.737850 | 0.803681 |
| 3 | 0.509133 | 0.523782 | 0.750368 | 0.774540 |
| 4 | 0.474285 | 0.502116 | 0.763623 | 0.773006 |
| 5 | 0.440148 | 0.482997 | 0.782769 | 0.808282 |
| 6 | 0.411904 | 0.476160 | 0.771723 | 0.748466 |
| 7 | 0.377375 | 0.467880 | 0.787923 | 0.831288 |
| 8 | 0.345489 | 0.474640 | 0.776878 | 0.838957 |
| 9 | 0.314638 | 0.477554 | 0.773932 | 0.809816 |
|