---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:49:42'
  project_name: ft_bs16_lr7_base_x8_emissions_tracker
  run_id: 7007bd3e-3ec7-43c5-b17e-eac8ecbd3099
  duration: 29341.298537492752
  emissions: 0.0191944486380988
  emissions_rate: 6.541785672359366e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.3463896830707782
  gpu_energy: 0
  ram_energy: 0.0611271135598421
  energy_consumed: 0.4075167966306212
  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)    | 29341.298537492752  |
| Emissions (Co2eq in kg)  | 0.0191944486380988 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.3463896830707782  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0611271135598421  |
| Consumed energy (kWh)    | 0.4075167966306212  |
| 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)         | 0.056481999684673545  |
| Emissions (Co2eq in kg)  | 0.011492008593851327 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_lr7_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| learning_rate            | 5e-07  |
| 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                | 108600 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.544017 | 0.498747 | 0.756259 | 0.820552 |
| 1 | 0.458398 | 0.447891 | 0.789396 | 0.815951 |
| 2 | 0.412619 | 0.418534 | 0.809278 | 0.809816 |
| 3 | 0.383563 | 0.402267 | 0.819588 | 0.832822 |
| 4 | 0.362502 | 0.394697 | 0.828424 | 0.868098 |
| 5 | 0.350171 | 0.388855 | 0.824742 | 0.814417 |
| 6 | 0.338813 | 0.390055 | 0.827688 | 0.822086 |
| 7 | 0.331673 | 0.384974 | 0.829897 | 0.820552 |
| 8 | 0.321403 | 0.382093 | 0.830633 | 0.832822 |
| 9 | 0.310836 | 0.387218 | 0.823270 | 0.783742 |
| 10 | 0.304103 | 0.398507 | 0.818115 | 0.763804 |
| 11 | 0.296614 | 0.390856 | 0.832106 | 0.888037 |
| 12 | 0.288897 | 0.393553 | 0.825479 | 0.792945 |
| 13 | 0.282550 | 0.395344 | 0.830633 | 0.878834 |
| 14 | 0.273857 | 0.394697 | 0.829897 | 0.846626 |
| 15 | 0.263546 | 0.403545 | 0.824006 | 0.796012 |
| 16 | 0.262119 | 0.399805 | 0.826215 | 0.806748 |
| 17 | 0.249052 | 0.404904 | 0.826215 | 0.799080 |
| 18 | 0.239922 | 0.407600 | 0.823270 | 0.846626 |
| 19 | 0.231717 | 0.422615 | 0.819588 | 0.780675 |