---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-22T11:31:06'
  project_name: ft_16_1e6_base_emissions_tracker
  run_id: c987d7ad-c646-4380-8797-f9eaa5b47769
  duration: 67712.96358895302
  emissions: 0.0409741595063809
  emissions_rate: 6.051154363160325e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 3.75
  cpu_energy: 0.7993875543463544
  gpu_energy: 0
  ram_energy: 0.0705336682684716
  energy_consumed: 0.8699212226148262
  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)    | 67712.96358895302  |
| Emissions (Co2eq in kg)  | 0.0409741595063809 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 3.75  |
| CPU energy (kWh)         | 0.7993875543463544  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0705336682684716  |
| Consumed energy (kWh)    | 0.8699212226148262  |
| 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)         | 0.13034745490873456  |
| Emissions (Co2eq in kg)  | 0.026520910739006597 |

## Note

21 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_16_1e6_base |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 1e-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                | 32586 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.585760 | 0.506497 | 0.758684 | 0.863976 |
| 1 | 0.455673 | 0.426805 | 0.806273 | 0.827536 |
| 2 | 0.385133 | 0.391296 | 0.821448 | 0.816982 |
| 3 | 0.340157 | 0.381730 | 0.828961 | 0.861879 |
| 4 | 0.298933 | 0.385058 | 0.831023 | 0.834253 |
| 5 | 0.258766 | 0.392635 | 0.825573 | 0.849310 |