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---
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-16T18:41:18'
project_name: ft_bs16_lr6_base_emissions_tracker
run_id: 8d7a61a5-d152-4a95-abc5-028dfc1ccc7b
duration: 9158.863351345062
emissions: 0.0055421710871854
emissions_rate: 6.051155994560777e-07
cpu_power: 42.5
gpu_power: 0.0
ram_power: 3.75
cpu_energy: 0.1081252751313978
gpu_energy: 0
ram_energy: 0.0095404026076197
energy_consumed: 0.1176656777390176
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) | 9158.863351345062 |
| Emissions (Co2eq in kg) | 0.0055421710871854 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.1081252751313978 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0095404026076197 |
| Consumed energy (kWh) | 0.1176656777390176 |
| 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) | 0.017630811951339243 |
| Emissions (Co2eq in kg) | 0.003587221479276816 |
## Note
17 May 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 16 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 32580 |
## Training and Testing steps
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.454731 | 0.365926 | 0.840943 | 0.851227 |
| 1 | 0.348025 | 0.367064 | 0.843152 | 0.884969 |
| 2 | 0.303349 | 0.360609 | 0.848306 | 0.840491 |
| 3 | 0.247147 | 0.404108 | 0.834315 | 0.889571 |
| 4 | 0.176933 | 0.446045 | 0.822533 | 0.860429 |
| 5 | 0.126679 | 0.511276 | 0.818851 | 0.815951 |
|